Rank

871 notes ordered by PageRank (damping 0.85), with the other ways of reading the link graph beside it. 526 are connected to each other; 270 stand alone.

Notes by score relative to the mean, on a log axis. Click a bar to list only those notes.

All foldersnotespagesthoughtsUnlinked onlyDamping

0.85

871 of 871

#	Note	PageRank ×mean	In	Out	Bridge	Authority	Hub
1	Computational Neurosciencethoughts	24.95	33	2	12.2	0.02	9.6e-4
2	Temporal Dynamicsnotes	18.60	2	2	0.1	1.1e-4	1.9e-3
3	Artem Kirsanovthoughts	17.73	12	6	1.5	8.4e-3	3.7e-3
4	Large Language Modelnotes	10.18	16	2	2.4	7.0e-4	1.6e-4
5	Djinnnotes	9.69	7	4	1.9e-3	1.3e-43	3.8e-44
6	Continuous Thought Machinesnotes	8.93	3	1	0.1	4.6e-4	1.2e-5
7	Cardinalitynotes	7.74	4	1	2.0	1.1e-6	2.5e-96
8	Chaos, Fractals, and Dynamical Systemsnotes	7.57	28	21	4.1	1.5e-3	6.7e-4
9	3Blue1Brownthoughts	7.43	11	5	1.6	1.7e-3	3.1e-3
10	Mechanistic Interpretabilitynotes	7.08	7	2	0.6	1.2e-3	5.6e-6
11	Aleph Nullnotes	6.98	1	1	0	2.2e-95	1.2e-7
12	Softmaxnotes	6.44	4	2	0.2	1.4e-5	8.1e-5
13	Manimthoughts	5.78	6	2	0.2	1.6e-3	2.0e-4
14	Principles of Biology 1notes	5.51	18	1	5.1	1.7e-4	1.8e-3
15	Cerebellumnotes	5.21	9	5	0.1	0.17	0.11
16	Glutamatenotes	5.20	12	9	0.3	0.21	0.19
17	GABAnotes	5.12	15	4	0.5	0.26	0.04
18	Gödel, Escher, Bachnotes	5.02	19	0	2.1	9.3e-3	0
19	Self Attentionnotes	4.88	2	4	0.1	2.6e-4	8.4e-5
20	Thalamusnotes	4.78	19	5	0.1	0.38	0.11
21	Hippocampusnotes	4.71	22	11	2.0	0.36	0.14
22	Mathematicsthoughts	4.65	10	3	2.9	1.3e-3	2.0e-3
23	Artificial Neuronnotes	4.41	8	1	0.8	2.3e-3	1.5e-6
24	Tokennotes	4.17	2	0	0	1.9e-5	0
25	Polysemanticitynotes	4.13	2	3	0.1	4.9e-5	4.7e-4
26	Prefrontal Cortexnotes	3.90	18	0	0.9	0.25	0
27	Logistic Mapnotes	3.89	10	0	0.0	3.1e-4	0
28	Axel - In Memoriamthoughts	3.61	2	1	0.1	9.1e-6	2.5e-96
29	Dendritesnotes	3.60	5	2	0.1	0.02	6.8e-3
30	Mollythoughts	3.47	1	1	0	2.2e-95	1.0e-6
31	Theta Rhythm - A memory clocknotes	3.43	4	11	1.8	0.01	0.05
32	Sparse Autoencodernotes	3.41	1	4	0.0	6.3e-7	4.3e-4
33	Partial Derivativesnotes	3.40	10	0	0.9	9.9e-5	0
34	Intro to Psychological Sciencenotes	3.31	9	0	0.9	0.10	0
35	Sensitive Dependence on Initial Conditionsnotes	3.30	6	3	7.6e-3	2.8e-4	2.4e-4
36	Digital Gardenthoughts	3.27	6	1	0.2	2.1e-3	9.4e-4
37	Synapsesnotes	3.25	7	4	1.6	0.01	2.4e-3
38	Dynamical Systems Theorynotes	3.22	9	4	2.2	5.8e-4	2.6e-3
39	Cross Entropynotes	3.09	2	2	0.2	2.4e-4	3.2e-5
40	Muslimnotes	3.09	9	2	0.8	3.8e-8	2.7e-7
41	University Of Vermontthoughts	3.07	7	0	1.9	8.0e-4	0
42	Central Nervous Systemnotes	3.04	8	1	0.5	0.13	0.02
43	Evidence Lower Boundnotes	3.03	3	3	0.1	1.1e-6	7.9e-6
44	Swaptubethoughts	3.02	2	2	0.0	7.4e-5	3.3e-4
45	Kullback-Leibler Divergencenotes	2.98	4	1	0.1	9.0e-6	2.7e-5
46	Qur'annotes	2.95	6	3	1.7	6.7e-8	4.4e-9
47	Differential Equations in Neurosciencenotes	2.91	1	2	0.0	4.1e-4	1.0e-3
48	Entropy in Informationnotes	2.90	3	2	0.9	2.8e-4	2.4e-6
49	Repelling fixed pointnotes	2.89	8	0	0.3	3.9e-4	0
50	Axonsnotes	2.88	6	1	0.4	0.05	1.9e-3
51	Allahnotes	2.82	4	0	0.7	2.4e-6	0
52	Lisdexamfetaminenotes	2.81	5	4	0.3	3.7e-3	0.03
53	Simone Conradithoughts	2.80	4	2	0.3	9.2e-4	2.8e-81
54	Saturn V Server Rackthoughts	2.79	7	3	1.9	5.4e-4	2.6e-5
55	Basal Ganglianotes	2.76	9	5	0.1	0.22	0.13
56	Lyapunov Exponentsnotes	2.76	13	7	0.7	5.5e-4	5.6e-4
57	DARSthoughts	2.74	5	5	0.7	2.4e-5	6.4e-5
58	Attracting fixed pointnotes	2.71	13	0	0.5	8.4e-4	0
59	Action Potentialsnotes	2.69	6	5	1.2	3.9e-3	8.3e-3
60	Muslims and Islam Key findings in the U.S. and around the worldnotes	2.65	1	1	0	2.2e-95	2.5e-96
61	Reading Schedule Islamnotes	2.65	1	1	0	2.2e-95	2.5e-96
62	SkQ1notes	2.65	1	1	0	2.2e-95	2.5e-96
63	Spermidinenotes	2.65	1	1	0	2.2e-95	2.5e-96
64	Agenotes	2.65	1	1	0	2.2e-95	2.5e-96
65	Gpgnotes	2.65	1	1	0	2.2e-95	2.5e-96
66	Bezier Curvesnotes	2.65	1	1	0	2.2e-95	2.5e-96
67	Eulers Methodnotes	2.65	1	1	0	2.2e-95	2.5e-96
68	Runge Kuttanotes	2.65	1	1	0	2.2e-95	2.5e-96
69	Linear Interpolationnotes	2.65	1	1	0	2.2e-95	2.5e-96
70	go-echo-templ-htmxnotes	2.65	1	1	0	2.2e-95	2.5e-96
71	rust-axum-askama-htmxnotes	2.65	1	1	0	2.2e-95	2.5e-96
72	On Capturing Personal Datathoughts	2.62	11	13	2.2	5.1e-3	7.3e-3
73	Chaosnotes	2.60	11	10	0.4	3.7e-4	5.9e-4
74	Ghulnotes	2.51	2	1	0	8.5e-44	1.5e-44
75	Ifritnotes	2.51	2	1	0	8.5e-44	1.5e-44
76	Maridnotes	2.51	2	1	0	8.5e-44	1.5e-44
77	Si'latnotes	2.51	2	1	0	8.5e-44	1.5e-44
78	Dirac Delta Functionnotes	2.47	4	0	0.1	1.1e-3	0
79	Neural Circuitnotes	2.46	4	5	0.8	5.2e-3	9.9e-3
80	Graphsnotes	2.43	4	3	0.8	2.7e-52	5.8e-53
81	Continuous Attractor Networknotes	2.36	2	5	1.2	2.7e-4	2.4e-3
82	Day 1notes	2.23	2	0	1.1	2.5e-80	0
83	Cerebral Cortexnotes	2.19	8	0	0.1	0.16	0
84	Amygdalanotes	2.19	13	9	0.3	0.28	0.25
85	On Touch Typingthoughts	2.19	1	2	0.0	2.2e-95	8.7e-5
86	Covariancenotes	2.14	3	0	0.2	3.4e-6	0
87	TAK-653notes	2.12	11	4	1.1	0.07	0.08
88	Fixed Point Classificationnotes	2.10	10	6	0.1	4.9e-4	3.8e-4
89	Typingthoughts	2.10	5	1	0.1	7.2e-5	2.5e-96
90	Attractor Networknotes	2.09	7	6	1.4	3.3e-3	2.1e-3
91	Muhammadnotes	2.07	2	3	2.8	5.0e-10	2.0e-5
92	Memorynotes	2.06	2	0	5.6e-3	6.2e-3	0
93	Orthogonalitynotes	2.04	9	0	0.6	1.5e-4	0
94	Variational Autoencodernotes	2.02	4	1	0.1	6.0e-5	1.3e-7
95	CH28 - Expected Values of Continuous Random Variablesnotes	1.97	2	0	0.1	2.8e-7	0
96	Saddle fixed pointnotes	1.97	8	1	0.0	3.8e-4	3.2e-5
97	Eventually Periodicnotes	1.95	6	4	0.0	2.2e-4	3.1e-4
98	Stable Manifoldnotes	1.94	8	5	0.1	3.3e-4	3.0e-4
99	Ion Channelsnotes	1.92	5	1	0.1	6.5e-3	4.4e-4
100	Bridging my University Wifi to host own network access pointthoughts	1.90	3	1	0.4	1.2e-7	9.0e-5
101	Using an Inbox Systemthoughts	1.88	5	4	0.2	2.1e-3	1.1e-3
102	Lecture 2 - Linear First-Order Differential Equationsnotes	1.83	4	0	1.1e-3	2.7e-52	0
103	Loss Functionsnotes	1.83	6	0	0.3	3.2e-4	0
104	Islam Introduction Syllabus Daynotes	1.82	2	4	0.3	3.2e-8	2.8e-7
105	Sunninotes	1.82	4	0	5.0e-4	3.5e-8	0
106	AMPA Receptornotes	1.80	7	3	0.5	0.05	0.05
107	Essence of Linear Algebranotes	1.77	2	3	0.7	3.6e-4	2.8e-4
108	Reverse Proxynotes	1.77	3	0	0.3	7.1e-6	0
109	Bayesian Inferencenotes	1.76	4	0	0.1	4.1e-4	0
110	Ponsnotes	1.76	4	4	1.0e-3	0.08	0.09
111	Free Energy Principlenotes	1.71	8	3	0.8	2.0e-3	8.7e-5
112	Eventnotes	1.66	2	0	0.2	2.1e-5	0
113	Hopfield Networksnotes	1.65	4	1	0.2	6.0e-4	2.6e-4
114	Saturn Rack Softwarethoughts	1.65	3	2	0.5	2.0e-4	6.1e-5
115	Acetylcholinenotes	1.64	8	1	0.3	0.07	7.0e-4
116	Hijabnotes	1.64	2	2	0.3	1.1e-11	7.7e-9
117	HTTP Requestsnotes	1.62	3	0	6.6e-5	3.4e-7	0
118	Brownian Motionnotes	1.61	3	0	2.6e-4	6.8e-67	0
119	Unstable Manifoldnotes	1.59	7	5	0.0	2.7e-4	3.1e-4
120	Hofstadter Chaotic Heart Sequencethoughts	1.59	1	2	0.0	1.2e-80	1.2e-3
121	Training AI to Paint with Codethoughts	1.59	1	1	0	1.2e-80	1.0e-4
122	Hypothalamusnotes	1.58	10	3	0.1	0.25	0.07
123	AI Command APIthoughts	1.58	2	3	0.1	7.3e-6	1.7e-6
124	GABA Receptornotes	1.58	2	2	0.0	0.02	0.03
125	Linearization and the Jacobiannotes	1.58	6	8	0.3	2.7e-4	5.1e-4
126	3d Printingthoughts	1.57	4	5	0.9	1.0e-3	7.9e-5
127	Grid Cellsnotes	1.52	4	2	0.2	3.6e-3	4.1e-4
128	TrkBnotes	1.52	5	0	0.2	0.02	0
129	Jacobiannotes	1.51	6	2	0.5	5.8e-4	1.1e-5
130	Adjacency Matrixnotes	1.50	3	1	0	2.6e-52	3.0e-53
131	Bayesian Brainnotes	1.50	5	4	0.4	1.3e-3	4.2e-4
132	Uniform Manifold Approximation and Projectionnotes	1.48	3	8	2.0	2.1e-3	2.1e-3
133	Sinks, Sources, and Saddlesnotes	1.47	4	4	0.0	2.0e-4	2.8e-4
134	Cellnotes	1.47	6	7	7.5e-3	1.3e-4	2.4e-5
135	Neural Networksnotes	1.47	4	3	0.5	2.8e-4	2.7e-4
136	Parse Trees for Natural Language Processingnotes	1.44	1	1	0	9.5e-6	7.9e-5
137	A desire to do more engineeringthoughts	1.43	2	2	0.0	9.1e-6	1.2e-4
138	Healththoughts	1.42	5	0	0.1	4.5e-3	0
139	15.1.2 - Iterated Integralsnotes	1.42	2	2	2.9e-3	1.2e-74	2.8e-81
140	Kalman Filternotes	1.39	5	1	0.9	7.2e-4	3.8e-7
141	1.2 - Spike Trains and Firing Ratesnotes	1.39	2	2	0.1	6.2e-3	1.2e-4
142	Rationality A-Zthoughts	1.39	1	3	0.0	2.2e-95	7.1e-4
143	Note updates as links to daily notesthoughts	1.36	5	0	0.1	2.3e-3	0
144	Brainstorming Software Stackthoughts	1.35	3	1	0.0	2.2e-5	2.8e-6
145	Temporal Lobenotes	1.34	9	9	0.1	0.24	0.25
146	Spacial Navigationnotes	1.34	3	0	0.0	0.02	0
147	Cantor Setnotes	1.33	4	1	2.0	9.4e-5	1.2e-7
148	Vectorsnotes	1.33	4	0	0.3	8.7e-6	0
149	Purkinje Neuronsnotes	1.32	2	5	0.2	0.01	0.05
150	Phasornotes	1.32	3	0	0.2	2.3e-5	0
151	Function Callingnotes	1.31	2	1	0.2	7.4e-6	7.9e-5
152	Wood Box Demothoughts	1.31	2	0	0	7.4e-6	0
153	Backward Propagationnotes	1.30	2	0	0.0	4.0e-5	0
154	Asymptotically Periodicnotes	1.28	6	5	0.0	2.5e-4	4.0e-4
155	Experiencenotes	1.27	2	1	0.4	1.5e-3	0.01
156	Burkanotes	1.26	2	1	0	8.8e-10	1.3e-12
157	On Self Reported Datathoughts	1.26	5	5	0.1	4.4e-3	8.4e-4
158	Jensen's Inequalitynotes	1.25	1	2	0.1	8.9e-7	2.8e-81
159	SSHnotes	1.24	4	1	1.0	1.2e-5	3.8e-8
160	Longevitythoughts	1.24	6	2	0.1	5.0e-3	9.5e-4
161	Frontal Lobenotes	1.24	7	5	0.0	0.21	0.14
162	Gradient Descentnotes	1.24	8	0	0.8	8.8e-4	0
163	Uncreated Notesthoughts	1.24	4	1	0.1	4.8e-4	2.4e-4
164	hafez-e Qur'annotes	1.23	1	1	0	4.9e-10	7.6e-9
165	Memory Formationnotes	1.23	4	5	0.3	0.03	0.14
166	Latent Spacenotes	1.21	4	2	0.1	1.7e-5	6.9e-6
167	Transhumanismthoughts	1.21	5	3	0.3	4.0e-3	8.8e-4
168	Tasknotes in my workflowthoughts	1.21	4	4	0.5	2.1e-3	2.2e-3
169	Bromantanenotes	1.20	3	1	0.4	9.6e-3	4.2e-4
170	Linear Systemsnotes	1.20	3	3	0.2	1.6e-4	2.9e-4
171	Global Homelab Managementthoughts	1.19	1	3	1.2	2.9e-6	1.0e-4
172	Medial Septumnotes	1.18	4	6	0.3	0.02	0.08
173	Somanotes	1.18	3	0	0.0	9.2e-3	0
174	Exploring Personal EEG Solutionsthoughts	1.17	3	2	0.0	1.2e-3	2.4e-3
175	Adjacency Listnotes	1.17	2	3	0.1	1.8e-52	6.9e-53
176	LessWrongthoughts	1.16	3	1	0.0	2.8e-3	2.5e-96
177	Periodic Orbit Stabilitynotes	1.16	6	5	0.1	2.8e-4	3.3e-4
178	Chart Demothoughts	1.15	1	2	2.6e-4	2.2e-95	2.8e-81
179	Axiomnotes	1.15	3	0	0.1	2.2e-5	0
180	Finite-Time Lyapunov Exponentnotes	1.15	2	4	2.5e-3	7.1e-5	1.4e-4
181	The Tortoisenotes	1.14	3	3	8.8e-5	3.8e-4	1.1e-3
182	Turing Machine Variantsnotes	1.13	1	0	0	2.2e-95	0
183	Artificial Intelligencethoughts	1.13	5	6	1.6	5.3e-4	2.2e-3
184	Kuramoto modelnotes	1.13	3	2	0.6	2.0e-4	2.4e-3
185	Theoretical Neuroscience - Peter Dayan and L. F. Abbottnotes	1.12	2	3	0.2	4.3e-5	5.9e-4
186	Postsynaptic Neuronsnotes	1.11	2	0	0	2.0e-3	0
187	Presynaptic Neuronsnotes	1.11	2	0	0	2.0e-3	0
188	Fourier Transformnotes	1.10	3	2	0.6	4.9e-6	2.6e-6
189	Place Cellsnotes	1.10	3	3	0.2	6.5e-3	4.1e-3
190	Sigmoid Functionnotes	1.09	4	1	0.2	3.9e-4	1.5e-6
191	Complexitynotes	1.08	1	1	1.0	7.0e-53	2.8e-81
192	Day 2notes	1.07	3	1	1.6	1.4e-8	2.8e-81
193	Annotation and Outline Worksheetnotes	1.07	2	0	2.6e-4	2.5e-80	0
194	N-Acetylsemaxnotes	1.05	2	3	0.0	0.01	2.6e-3
195	Diagonal Band of Brocanotes	1.05	3	0	0.0	0.03	0
196	Active Inferencenotes	1.04	4	4	0.9	6.0e-4	3.1e-3
197	Jacobian Determinantnotes	1.04	1	2	0	1.3e-6	7.7e-5
198	DARS Media Gallerythoughts	1.03	2	0	0	7.6e-6	0
199	Achillesnotes	1.02	3	2	8.8e-5	3.8e-4	1.1e-3
200	Write Stub Notesthoughts	1.01	4	4	0.0	2.2e-3	5.1e-4
201	AF710Bnotes	1.01	4	2	0.1	0.02	0.05
202	Parietal Lobenotes	1.01	7	7	0.0	0.19	0.20
203	Cobweb Plotnotes	1.00	2	1	0	1.2e-4	3.4e-5
204	Forced Damped Pendulumnotes	1.00	2	5	0.2	3.1e-4	4.6e-4
205	15.1 - Multiple Integralsnotes	1.00	1	2	2.4e-3	1.2e-80	2.8e-81
206	Fubini Examplenotes	1.00	1	1	0	1.2e-80	1.4e-75
207	Guanfacinenotes	1.00	1	2	0	3.5e-3	0.03
208	Neural Response Functionnotes	0.99	1	1	0	1.4e-5	1.2e-4
209	Khadijanotes	0.98	1	1	0	2.3e-6	5.6e-11
210	Perceptronnotes	0.98	2	3	0.1	3.4e-5	7.6e-5
211	Neboglaminenotes	0.98	3	3	0.1	0.02	0.05
212	Shi'inotes	0.98	3	1	5.0e-4	3.4e-8	3.9e-9
213	Local Lyapunov Exponentnotes	0.98	2	2	0	7.9e-5	7.0e-5
214	Episodic Memorynotes	0.97	2	0	0	0.04	0
215	Using Bare Metal Nixos and Debian Over Proxmoxthoughts	0.97	2	1	0.1	1.2e-7	1.4e-8
216	Anterior Hypothalamusnotes	0.97	2	0	2.7e-3	9.1e-3	0
217	Consuming and Choosing Content Effectivelythoughts	0.96	6	8	0.9	9.1e-3	1.5e-3
218	Parameternotes	0.96	3	0	0.2	3.7e-4	0
219	Substantia Nigranotes	0.96	3	2	2.3e-4	0.07	0.07
220	Machine Learning Coursenotes	0.96	4	0	0.1	1.7e-4	0
221	On Transcribing Audio Recordingsthoughts	0.96	3	3	0.3	3.8e-4	2.1e-4
222	Self reported data via phone appthoughts	0.95	3	3	0.0	1.0e-3	1.1e-3
223	Eukaryotic Cellsnotes	0.94	3	4	0	1.1e-5	3.6e-5
224	Organellesnotes	0.94	3	4	2.2e-3	1.1e-5	3.6e-5
225	Andronov Hopf Bifurcationnotes	0.93	3	7	0.3	7.3e-5	2.7e-4
226	Convex Functionnotes	0.93	1	0	0	1.2e-80	0
227	Informationnotes	0.93	1	1	0.2	1.2e-80	3.1e-5
228	Hénon Mapnotes	0.93	3	3	0.1	6.4e-5	1.2e-4
229	Latent Variablesnotes	0.91	1	4	0.0	7.8e-7	9.8e-6
230	Axiomaticthoughts	0.90	3	0	0.0	5.3e-4	0
231	Socketsnotes	0.90	3	0	0.1	3.4e-7	0
232	Confidence Intervalsnotes	0.90	2	2	0.4	9.4e-6	2.8e-81
233	Little Harmonic Labyrinthnotes	0.90	2	4	9.3e-4	2.5e-4	1.1e-3
234	The Worldwide Air-Transportation Networknotes	0.90	2	1	0	1.1e-4	3.4e-5
235	CH2 - Random Variablesnotes	0.90	3	2	0.9	1.1e-4	2.5e-6
236	Chapter 2 - Linear Combinations, Span, and Basis Vectorsnotes	0.90	1	0	0	3.2e-5	0
237	Choosing my perfect 3d printerthoughts	0.90	2	1	0.1	9.1e-6	1.0e-6
238	Medulla Oblongatanotes	0.89	4	2	1.1e-3	0.11	0.05
239	Fasoracetamnotes	0.89	1	8	0.1	0.02	0.14
240	Limbic Systemnotes	0.89	2	5	4.5e-3	0.04	0.16
241	GaggiMate Extractionspages	0.89	1	1	0	1.2e-80	2.5e-96
242	Morris-Lecar Phase Planepages	0.89	1	0	0	1.2e-80	0
243	At Home Bloodworkthoughts	0.89	3	2	3.4e-3	3.6e-4	7.1e-4
244	A short history of AInotes	0.88	2	6	1.1	1.3e-6	3.3e-3
245	Breadth First Searchnotes	0.87	1	0	0	2.2e-95	0
246	Short Time Fourier Transformnotes	0.86	1	0	0	2.9e-7	0
247	Turing Machinesnotes	0.86	2	1	0.3	3.8e-4	2.5e-96
248	Hyperpolarization Activated Channelsnotes	0.86	2	0	0	6.5e-3	0
249	Firing Rate Approximationnotes	0.86	1	1	0.0	9.3e-4	7.0e-4
250	Quiz 1 Practicenotes	0.86	2	4	2.6e-4	1.5e-52	9.3e-53
251	Spiking Neural Networknotes	0.85	3	4	0.4	4.8e-4	1.2e-3
252	Diffusion in Machine Learningnotes	0.85	3	1	0.2	9.5e-5	1.3e-7
253	DARS LLMthoughts	0.85	1	1	0	1.9e-7	8.2e-7
254	Multi Objective Optimizationnotes	0.84	2	0	0.1	3.4e-5	0
255	Physical Simulationnotes	0.84	2	0	0.1	3.4e-5	0
256	Bakers Mapnotes	0.83	4	4	0.1	1.5e-4	1.5e-4
257	Passive Obsidian Worktimethoughts	0.83	4	3	0.1	2.2e-3	1.3e-3
258	Cartesian Productnotes	0.82	1	0	0	1.2e-80	0
259	Multiple Integral Graph Examplenotes	0.82	1	0	0	1.2e-80	0
260	Brainstorming Hardware Stackthoughts	0.82	2	3	0.2	1.0e-5	1.0e-6
261	Lateral Inhibition Primitivenotes	0.82	1	0	0	1.1e-3	0
262	Countably Infinitenotes	0.81	3	0	0.1	4.0e-5	0
263	Uncountably Infinitenotes	0.81	3	1	0.2	4.0e-5	1.1e-5
264	Homework 1 - Introduction and Direction Fieldsnotes	0.81	2	3	8.8e-5	1.9e-52	5.8e-53
265	Homework 2 - Linear First-Order Equationsnotes	0.81	2	3	1.8e-4	1.8e-52	6.9e-53
266	Lecture 1 - Introductionnotes	0.81	2	1	1.8e-4	1.8e-52	3.0e-53
267	Using an Eye Tracker for more computer datathoughts	0.81	3	3	0.1	3.5e-3	2.5e-3
268	New Year Homelab Updates and Plansthoughts	0.81	2	5	0.5	1.4e-4	1.6e-4
269	1 Variable Stats On Calculatornotes	0.79	2	0	0	2.1e-5	0
270	Mean Field Theorynotes	0.79	2	5	1.2	6.9e-5	7.6e-4
271	Extracellular Spacenotes	0.79	3	0	0.2	7.9e-3	0
272	Activation Functionsnotes	0.78	3	2	0.1	1.1e-4	3.3e-5
273	Max Poolingnotes	0.78	1	0	0	2.2e-95	0
274	Store Now Utilize Laterthoughts	0.78	2	5	0.1	9.2e-4	1.1e-3
275	Hypothesis Testnotes	0.78	1	0	0	1.2e-80	0
276	Sampling Distributionnotes	0.78	1	0	0	1.2e-80	0
277	Quiz Practice - Random Variablesnotes	0.78	1	0	0	2.8e-7	0
278	Vector Fieldsnotes	0.78	2	0	0.1	2.5e-5	0
279	Prokaryotic Cellsnotes	0.78	2	4	0	6.8e-6	3.6e-5
280	TRIBE v2thoughts	0.77	3	0	0.0	2.5e-4	0
281	Principle Component Analysisnotes	0.77	2	3	0.2	2.4e-4	2.9e-5
282	T-distributed stochastic neighbor embeddingnotes	0.77	2	3	0.1	2.4e-4	3.0e-5
283	Occipital Lobenotes	0.77	6	3	9.9e-3	0.19	0.09
284	Hedonic Setpointthoughts	0.74	1	0	0	9.9e-5	0
285	Bondsnotes	0.74	2	1	0	6.6e-6	2.0e-5
286	CH10 - Expected Values of Discrete Random Variablesnotes	0.74	1	0	0	2.2e-95	0
287	CH9 - Independence and Conditioningnotes	0.74	1	0	0	2.2e-95	0
288	Memoryless Property For Exponentialsnotes	0.74	1	0	0	2.2e-95	0
289	Parallaxnotes	0.74	1	0	0	2.2e-95	0
290	Zenithnotes	0.74	1	0	0	2.2e-95	0
291	Line Integralnotes	0.74	1	0	0	2.2e-95	0
292	Polar Coordinate Graphnotes	0.74	1	0	0	2.2e-95	0
293	Brain Orientation Terminologynotes	0.74	2	0	1.3e-4	3.3e-3	0
294	Final Project Proposal and Pitchnotes	0.74	1	0	0	2.2e-95	0
295	Neural Networks in Evolutionary Roboticsnotes	0.74	1	2	0.3	2.2e-95	1.1e-5
296	Approaching Islam in terms of Religionnotes	0.74	1	0	0	2.2e-95	0
297	Superposition and Subspacenotes	0.74	1	2	7.9e-4	2.2e-95	2.8e-81
298	ORG-43902notes	0.74	1	0	0	2.2e-95	0
299	Diffusion Equationnotes	0.74	1	2	7.9e-4	2.2e-95	1.0e-67
300	Primary Number Systemsnotes	0.74	1	3	0.7	2.2e-95	1.5e-4
301	Homeomorphismnotes	0.74	1	0	0	2.2e-95	0
302	On Curating Imagesthoughts	0.74	1	0	0	2.2e-95	0
303	Electrodesnotes	0.73	4	0	0.4	0.02	0
304	Tropisetronnotes	0.73	6	5	0.8	0.03	0.08
305	Hash Mapnotes	0.73	1	0	0	8.3e-53	0
306	Glutennotes	0.73	2	0	0	4.6e-6	0
307	Continuous Time Recurrent Neural Networksnotes	0.73	2	2	0.2	1.2e-5	6.2e-5
308	Firing Rates and Spike Statisticsnotes	0.71	1	1	0	6.7e-5	4.9e-6
309	Subspacenotes	0.71	1	0	0	1.2e-80	0
310	Superposition Principlenotes	0.71	1	0	0	1.2e-80	0
311	Stochastic Differential Equationnotes	0.71	1	2	2.6e-4	2.5e-67	1.0e-67
312	Banach Fixed Point Theoremnotes	0.70	1	0	0	7.5e-5	0
313	Feigenbaum Constantnotes	0.70	1	2	7.6e-3	7.5e-5	1.0e-4
314	Homoclinic Pointsnotes	0.70	1	8	0.1	7.5e-5	4.2e-4
315	Stable and Unstable Manifoldsnotes	0.70	1	7	0.0	7.5e-5	4.7e-4
316	Ito Calculusnotes	0.70	1	1	0	2.5e-67	7.7e-68
317	Pacemaker Neuronsnotes	0.70	2	3	0.1	8.1e-3	2.8e-3
318	Semaxnotes	0.70	1	1	0	2.9e-4	2.1e-3
319	Neural Integratornotes	0.69	1	6	0.4	2.4e-4	2.2e-3
320	Antipodalnotes	0.69	1	0	0	1.2e-80	0
321	Borsuk-Ulam Theoremnotes	0.69	1	2	0.1	2.2e-5	2.8e-81
322	The Stolen Necklace Problemnotes	0.69	1	2	0.3	1.2e-80	1.9e-4
323	Default Mode Networknotes	0.68	2	0	6.8e-3	2.0e-4	0
324	Data Science I Pinnaclenotes	0.68	2	0	0.1	2.4e-4	0
325	Personal Canon	0.67	2	14	2.5	4.9e-4	6.8e-3
326	Absurdism - how to party at the end of meaningthoughts	0.67	2	0	0	9.8e-4	0
327	How To Read a Research Paper Effectivelythoughts	0.67	2	0	0.0	2.8e-4	0
328	Garmin and Timeseries Health Datathoughts	0.67	1	4	0.1	1.2e-4	1.2e-3
329	Neovimthoughts	0.66	3	0	0.1	2.0e-3	0
330	Espressothoughts	0.65	3	0	0.2	9.5e-3	0
331	Canonnotes	0.64	1	3	7.5e-3	6.3e-6	1.1e-3
332	The Psych Science Processnotes	0.64	1	3	0.1	1.2e-3	0.01
333	Membrane Potentialnotes	0.64	4	0	0.2	5.8e-3	0
334	Djinn Jointnotes	0.63	2	1	0	7.3e-44	1.5e-44
335	OwnTracksthoughts	0.62	2	0	7.9e-3	1.0e-3	0
336	Hyperpolarizationnotes	0.61	2	0	0	1.8e-3	0
337	Nucleus Accumbensnotes	0.61	2	0	1.9e-3	0.02	0
338	Colophon For Mind Structurethoughts	0.61	1	16	1.5	5.8e-5	0.02
339	Habit Tracking Via Daily Notethoughts	0.61	1	3	2.9e-4	9.5e-5	1.1e-3
340	Mean Squared Errornotes	0.60	2	0	0	2.4e-4	0
341	Lipidsnotes	0.60	1	5	0.1	4.0e-6	9.5e-4
342	Normalizationnotes	0.60	2	0	0.1	2.6e-4	0
343	Hindbrainnotes	0.59	4	6	0.0	0.11	0.11
344	God over Djinnnotes	0.59	1	1	0	1.3e-4	1.0e-3
345	Boltzmann Machinenotes	0.58	2	1	0.1	1.4e-4	6.8e-5
346	Yak Shavingthoughts	0.58	2	0	0.0	4.0e-4	0
347	Populationnotes	0.58	2	0	0	3.2e-5	0
348	Samplenotes	0.58	2	0	0	3.2e-5	0
349	Genome Sequencing for Self Configurationthoughts	0.58	1	14	2.2	5.1e-5	0.03
350	Fuguenotes	0.58	1	2	0.0	1.2e-4	5.6e-5
351	Intuitionnotes	0.58	1	1	0	1.3e-3	0.01
352	Usmarapridenotes	0.58	2	5	2.9e-3	0.02	0.06
353	Atomic Cell Structurenotes	0.58	1	2	0	2.7e-6	3.4e-5
354	Enzymesnotes	0.58	1	3	0	2.7e-6	3.5e-5
355	Linear and Nonlinear Regressionnotes	0.57	2	7	0.4	1.4e-4	1.2e-3
356	Tracking EVERYTHING I do on my computerthoughts	0.57	1	4	0.2	8.3e-4	1.7e-3
357	WebSocketsnotes	0.57	2	0	6.6e-5	3.3e-7	0
358	14.6 - Tangent Planes Revisitednotes	0.57	1	1	0	1.9e-6	1.6e-5
359	Fresnel Integralnotes	0.57	1	0	0	7.7e-75	0
360	Green's Theoremnotes	0.57	1	0	0	1.3e-6	0
361	Vacuously Truenotes	0.57	1	0	0	1.8e-10	0
362	Embodied Cognitionnotes	0.57	1	2	0.1	1.7e-8	2.4e-4
363	Psychology Scientific Methodnotes	0.57	1	2	0.0	3.0e-6	0.01
364	Monte Carlo Simulationsnotes	0.57	1	0	0	6.3e-8	0
365	Adopting the seed and sapling for notesthoughts	0.57	1	0	0	1.2e-80	0
366	Atomic Notethoughts	0.57	1	0	0	1.2e-80	0
367	Using ActivityWatch Data for Temporal Vault Projectthoughts	0.57	1	3	0.1	6.5e-5	1.1e-4
368	Basal Forebrainnotes	0.56	1	4	0.1	9.0e-3	8.4e-3
369	Proxmox on old Macbooksthoughts	0.56	2	0	0	1.9e-5	0
370	Forebrainnotes	0.56	3	14	0.1	0.07	0.36
371	Ventral Tegmental Areanotes	0.56	3	5	0.1	0.07	0.13
372	Temporal Vault Research Proposalthoughts	0.56	1	1	1.4e-3	1.2e-5	5.2e-5
373	AI Overviewnotes	0.56	1	9	0.7	2.5e-4	5.1e-4
374	Connectivitynotes	0.55	1	1	0.1	2.3e-4	2.5e-96
375	Low Rank Adaptationnotes	0.55	1	3	0.1	3.8e-5	9.1e-5
376	Parameter Efficient Fine Tuningnotes	0.55	1	3	0.1	1.0e-5	3.4e-4
377	exurb1athoughts	0.55	2	2	0.1	9.1e-4	1.9e-3
378	Midbrainnotes	0.55	4	6	0.0	0.14	0.07
379	Computing Lyapunov Exponentsnotes	0.54	1	4	0.3	2.0e-6	2.5e-4
380	Rhizomaticnotes	0.54	2	0	0.0	5.2e-4	0
381	CH1 - Sampling and Descriptive Statisticsnotes	0.54	2	3	1.0	1.3e-3	9.8e-5
382	Apical Dendritenotes	0.54	1	5	0.5	2.2e-3	0.07
383	A 2025 Home Server Updatethoughts	0.53	1	0	0	1.8e-5	0
384	Laptop Kiosk Displaysthoughts	0.53	1	1	0	1.8e-5	6.0e-5
385	WLED Strips With Home Assistantthoughts	0.53	1	1	4.7e-3	1.8e-5	1.4e-8
386	Ising Modelnotes	0.53	1	2	0.2	8.6e-5	1.9e-3
387	Gram-Schmidt Processnotes	0.51	1	3	0.1	2.9e-5	1.8e-5
388	Limit Cyclenotes	0.51	1	2	7.4e-3	3.1e-5	1.2e-4
389	Ewans Florilegium	0.51	1	14	3.8	1.3e-6	4.3e-3
390	Process of Science in Biologynotes	0.51	1	2	0.1	2.3e-6	2.0e-5
391	Critical Pointsnotes	0.51	1	1	0	1.3e-6	1.1e-5
392	Minimal Cognitionnotes	0.51	1	2	0.1	1.5e-7	1.0e-4
393	Resilient Machines Projectnotes	0.51	1	4	0.6	2.2e-5	3.0e-4
394	Sensation vs Perceptionnotes	0.51	1	1	0.1	1.5e-7	0.01
395	Arabicnotes	0.51	1	0	0	1.3e-9	0
396	Cantor's diagonal argumentnotes	0.51	1	1	0.5	2.1e-5	1.0e-3
397	Statistics Indexnotes	0.51	1	14	1.4	1.3e-3	1.9e-4
398	Network Modeling Workflownotes	0.51	2	0	3.4e-3	1.1e-4	0
399	Neural Dynamicsnotes	0.50	1	5	0.2	6.6e-5	5.5e-4
400	Setting Up the Idea of Capturesthoughts	0.50	1	3	4.5e-3	1.7e-4	5.3e-4
401	The New Youtube Processthoughts	0.50	1	1	0.0	1.7e-4	9.4e-4
402	Carbohydratesnotes	0.50	1	1	0	1.1e-4	2.0e-5
403	Waternotes	0.50	1	1	0	1.1e-4	2.0e-5
404	Neuroplasticitynotes	0.50	2	1	0.0	5.6e-3	1.3e-3
405	Coffee, Kalman Filters, and Predictive Codingthoughts	0.50	1	6	1.0	2.5e-4	3.4e-3
406	TUDCAnotes	0.49	1	1	0	0.02	2.4e-3
407	Taylor Couette Flownotes	0.49	1	1	5.5e-4	7.0e-5	4.2e-5
408	Phaedonotes	0.49	1	0	0	3.3e-4	0
409	Chessthoughts	0.49	1	2	3.2e-3	3.3e-4	8.9e-4
410	Tegmentumnotes	0.49	2	6	0.0	0.05	0.13
411	Pyramidal Neuronsnotes	0.49	1	3	0.0	8.2e-3	0.02
412	Integratorsnotes	0.49	1	4	0.7	8.2e-3	5.9e-4
413	Pseudocode workspacenotes	0.48	1	0	0	1.1e-52	0
414	Tent Mapnotes	0.48	1	5	4.3e-3	3.0e-5	2.2e-4
415	Islamic Lawnotes	0.48	1	3	0.1	1.4e-9	2.8e-7
416	TransformerLensnotes	0.48	1	0	0	2.4e-4	0
417	Migrating my Quartz, DARS, and media to one big Homelab Serverthoughts	0.48	1	5	0.3	9.6e-6	8.8e-5
418	Utilizing Cognition Enhancement Effectivelythoughts	0.48	2	8	0.3	3.8e-3	0.03
419	What Textbooks Don't Tell You About Curve Fittingnotes	0.47	1	3	0.0	1.3e-4	9.9e-4
420	Reservoir computingnotes	0.46	1	2	0.8	2.4e-4	4.2e-5
421	Boundary Points of the Mandelbrot Setnotes	0.46	1	9	0.0	4.6e-5	1.4e-4
422	Sailingthoughts	0.46	1	0	0	1.9e-4	0
423	Woodworkthoughts	0.46	1	0	0	1.9e-4	0
424	Convolutionsnotes	0.45	1	1	0.1	4.8e-5	2.5e-96
425	Refractory Periodnotes	0.45	2	2	0.0	3.7e-3	6.4e-4
426	Drosophila Connectomenotes	0.45	1	6	1.6	2.2e-4	2.1e-3
427	Feroz Shah Kotla Fortnotes	0.45	1	2	0	5.4e-44	2.3e-44
428	tDCS and the Steerable Manifoldthoughts	0.45	1	2	0.1	2.1e-3	2.9e-4
429	Correlation Dimensionnotes	0.44	1	4	0.1	1.6e-5	6.2e-4
430	Dimensionality of Fractalsnotes	0.44	1	4	0.4	1.6e-5	1.9e-4
431	Julia Setnotes	0.44	1	2	3.8e-3	1.6e-5	2.7e-4
432	Lyapunov Dimensionnotes	0.44	1	6	7.1e-3	1.6e-5	4.1e-4
433	14.6 - Directional Derivativesnotes	0.44	1	0	0	2.4e-5	0
434	Representationthoughts	0.44	1	4	0.3	7.7e-4	2.9e-3
435	BPN14770notes	0.43	1	3	0.2	3.2e-3	0.07
436	Selegilinenotes	0.43	1	0	0	3.2e-3	0
437	The ODINthoughts	0.43	1	2	2.8e-3	3.2e-3	4.6e-4
438	Reticular Formationnotes	0.43	2	6	0.1	0.09	0.16
439	Peripheral Nervous Systemnotes	0.43	2	2	9.9e-4	0.09	0.04
440	Cosine Similaritynotes	0.43	1	2	0.5	1.8e-3	8.1e-5
441	Triple Integrals Practicenotes	0.43	1	0	0	1.8e-3	0
442	Bullet Point Notationthoughts	0.43	1	2	0.0	1.8e-3	2.8e-4
443	My Color Palettethoughts	0.43	1	0	0	1.8e-3	0
444	Using Aliases More Frequentlythoughts	0.43	1	1	0	1.8e-3	2.3e-4
445	CH1 - Categorical Variablenotes	0.43	1	0	0	2.1e-5	0
446	CH1 - Sampling Statistics Continuednotes	0.43	1	1	0	2.1e-5	2.4e-6
447	CH2 - Conditional Probabilitynotes	0.43	1	0	0	2.1e-5	0
448	CH2 - Counting Methodsnotes	0.43	1	0	0	2.1e-5	0
449	CH2 - Probabilitynotes	0.43	1	0	0	2.1e-5	0
450	CH4 - Binomial Distributionnotes	0.43	1	0	0	2.1e-5	0
451	De Morgan's Lawnotes	0.43	1	0	0	2.1e-5	0
452	Some Fun Facts About Methoughts	0.43	1	6	0.4	4.8e-4	1.7e-3
453	website	0.43	1	1	0	4.8e-4	5.9e-5
454	Depolarizationnotes	0.42	1	1	0.1	1.7e-3	1.8e-3
455	Ion Pumpsnotes	0.42	1	0	0	1.7e-3	0
456	Voltage Transientnotes	0.42	1	0	0	1.7e-3	0
457	Insular Lobenotes	0.41	1	6	5.2e-3	0.05	0.18
458	Not Found	0.40	0	0	0	0	0
459	Folder Index	0.40	0	3	2.3e-3	0	3.6e-4
460	Algorithm Design and Analysisnotes	0.40	0	0	0	0	0
461	Algorithm Syllabus Daynotes	0.40	0	0	0	0	0
462	Bipartite Graphsnotes	0.40	0	1	0	0	3.0e-53
463	Depth First Searchnotes	0.40	0	0	0	0	0
464	Homeworknotes	0.40	0	0	0	0	0
465	Homework 9 Writtennotes	0.40	0	0	0	0	0
466	Homework 1 Writtennotes	0.40	0	4	0.1	0	9.3e-53
467	Homework 10 Writtennotes	0.40	0	0	0	0	0
468	Homework 11 Writtennotes	0.40	0	0	0	0	0
469	Algo hw 12notes	0.40	0	0	0	0	0
470	Homework 2 - DFA and NFA Constructionnotes	0.40	0	0	0	0	0
471	Homework 3notes	0.40	0	0	0	0	0
472	Homework 4 Writtennotes	0.40	0	0	0	0	0
473	Homework 5 Writtennotes	0.40	0	0	0	0	0
474	Homework 6 Writtennotes	0.40	0	0	0	0	0
475	Homework 7 Writtennotes	0.40	0	0	0	0	0
476	Homework 8 Writtennotes	0.40	0	0	0	0	0
477	Applied Probabilitynotes	0.40	0	0	0	0	0
478	Exam 2 Study Guidenotes	0.40	0	0	0	0	0
479	Exam 3 Study Guidenotes	0.40	0	0	0	0	0
480	REWRITEnotes	0.40	0	0	0	0	0
481	Unit 1notes	0.40	0	0	0	0	0
482	CH1 - DeMorgan's In Detailnotes	0.40	0	0	0	0	0
483	CH1 - Randomnessnotes	0.40	0	0	0	0	0
484	CH2 Probabilitynotes	0.40	0	1	0	0	2.4e-6
485	CH3 - Independent Eventsnotes	0.40	0	0	0	0	0
486	CH3 - Probability Rulesnotes	0.40	0	0	0	0	0
487	CH5 - Bayes Theoremnotes	0.40	0	1	0	0	4.7e-5
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506	Finding Perfect Neuron Countnotes	0.40	0	0	0	0	0
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538	GEBnotes	0.40	0	0	0	0	0
539	Cube with magic ribbonsnotes	0.40	0	3	0	0	1.1e-3
540	Is the Universe a Deterministic System?notes	0.40	0	1	0	0	1.0e-3
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588	Chaos In Higher Dimensionsnotes	0.40	0	9	1.2	0	4.5e-4
589	Conjugacy and the Logistic Mapnotes	0.40	0	4	6.2e-3	0	2.7e-4
590	Horseshoe Mapnotes	0.40	0	5	1.6e-3	0	3.3e-4
591	Quasi Periodicnotes	0.40	0	6	5.3e-5	0	3.6e-4
592	Saddle-Node on Invariant Circlenotes	0.40	0	3	1.6e-4	0	8.8e-5
593	Synchronization in Chaosnotes	0.40	0	3	0.4	0	2.0e-4
594	Uncountability of the Cantor Setnotes	0.40	0	3	0.8	0	1.9e-4
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596	Afferent fibersnotes	0.40	0	2	0.1	0	0.01
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607	Starting Point for Computational Neuroscience Research Paper Readingnotes	0.40	0	2	0.0	0	9.8e-4
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612	Morris-Lecar Modelnotes	0.40	0	1	0	0	8.2e-6
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614	Small World Graphsnotes	0.40	0	0	0	0	0
615	Theoretical Neuroscience - Peter Dayan and L. F. Abbottnotes	0.40	0	0	0	0	0
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620	Final Project Progress Reportnotes	0.40	0	0	0	0	0
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646	Day 9notes	0.40	0	2	0.1	0	1.6e-9
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670	Data Sciencenotes	0.40	0	0	0	0	0
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672	Data Science 1 Syllabus Daynotes	0.40	0	3	0.3	0	2.1e-3
673	Data Structures and Algorithmsnotes	0.40	0	0	0	0	0
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686	NEATnotes	0.40	0	1	0	0	2.5e-96
687	Rigid Roboticsnotes	0.40	0	3	0.9	0	1.9e-4
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691	Big Problem Paper Final Draftnotes	0.40	0	1	0	0	2.8e-81
692	Big Problem Paper First Draftnotes	0.40	0	1	0	0	2.8e-81
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709	Islam and it's othersnotes	0.40	0	4	1.5e-3	0	1.2e-8
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720	Placesnotes	0.40	0	0	0	0	0
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722	World Religions Paradigmnotes	0.40	0	1	0	0	4.3e-9
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725	Module 1notes	0.40	0	0	0	0	0
726	Echelon Formnotes	0.40	0	1	0	0	4.2e-5
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760	Dihexanotes	0.40	0	1	0	0	0.04
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763	PPAPnotes	0.40	0	1	0	0	4.2e-4
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770	Overviewnotes	0.40	0	4	0.2	0	1.5e-6
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774	Mathnotes	0.40	0	0	0	0	0
775	Python Libraries to Learnnotes	0.40	0	4	0.2	0	2.1e-3
776	Testing In Languagesnotes	0.40	0	0	0	0	0
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790	Laplace Distributionnotes	0.40	0	0	0	0	0
791	Lomb-Scargle Periodogramnotes	0.40	0	1	0	0	5.5e-7
792	Markov Chainsnotes	0.40	0	0	0	0	0
793	Mean Value Theoremnotes	0.40	0	0	0	0	0
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799	Terminologynotes	0.40	0	0	0	0	0
800	Bijectionnotes	0.40	0	2	1.8	0	1.2e-7
801	Categorynotes	0.40	0	1	0	0	2.5e-96
802	Isomorphismnotes	0.40	0	0	0	0	0
803	Topologynotes	0.40	0	0	0	0	0
804	Jordan-Schoenflies Theoremnotes	0.40	0	1	0	0	2.5e-96
805	Weierstrass functionnotes	0.40	0	0	0	0	0
806	Statisticsnotes	0.40	0	0	0	0	0
807	CH6 - Hypothesis Testingnotes	0.40	0	1	0	0	1.1e-6
808	CH7 - Linear Regressionnotes	0.40	0	0	0	0	0
809	Chi Squared Testsnotes	0.40	0	0	0	0	0
810	Normal Distribution Graphnotes	0.40	0	0	0	0	0
811	Wearable Sensorsnotes	0.40	0	0	0	0	0
812	Balancingnotes	0.40	0	0	0	0	0
813	Continuous Glucose Monitornotes	0.40	0	0	0	0	0
814	Inertial measurement unitsnotes	0.40	0	0	0	0	0
815	Some Wearable Definitinosnotes	0.40	0	0	0	0	0
816	Web Developmentnotes	0.40	0	0	0	0	0
817	Local Server Hosting and Network Organizationnotes	0.40	0	1	0	0	1.4e-6
818	Overviewnotes	0.40	0	4	0.2	0	1.5e-6
819	Tech Stacksnotes	0.40	0	0	0	0	0
820	pagespages	0.40	0	0	0	0	0
821	2024 - A year of changethoughts	0.40	0	0	0	0	0
822	2025 Resolutionsthoughts	0.40	0	0	0	0	0
823	3d Printing So Farthoughts	0.40	0	0	0	0	0
824	A new idea - 3d printed 10" rackthoughts	0.40	0	1	0	0	1.1e-6
825	Actively Capturing or Storing Browser Historythoughts	0.40	0	0	0	0	0
826	Braaithoughts	0.40	0	0	0	0	0
827	Building Saturn V Rack Shelvesthoughts	0.40	0	1	0	0	6.0e-5
828	Cloudflare Tunnels - The temporary solutionthoughts	0.40	0	0	0	0	0
829	Computing and Mathematics in a game I playthoughts	0.40	0	1	0	0	4.3e-5
830	Creating My Own High Speed Transcription Daemonthoughts	0.40	0	2	0	0	5.1e-5
831	DARS - Presentationthoughts	0.40	0	2	0	0	3.6e-6
832	DARS Components Listthoughts	0.40	0	0	0	0	0
833	DARS Function Ideasthoughts	0.40	0	0	0	0	0
834	Digesting my Scrapbookthoughts	0.40	0	7	0.3	0	1.9e-3
835	Docker Swarm as an alternative to proxmoxthoughts	0.40	0	1	0	0	1.3e-8
836	Eigenfishthoughts	0.40	0	1	0	0	1.0e-4
837	Einstein on the Beachthoughts	0.40	0	0	0	0	0
838	everybody is a total mess (and you should be one too)thoughts	0.40	0	3	0.0	0	1.3e-3
839	Ewan's Canvasthoughts	0.40	0	0	0	0	0
840	Formalizing an optimal Codenames Pictures strategy using Information Theorythoughts	0.40	0	0	0	0	0
841	Fulfillment of the Purpose of Obsidianthoughts	0.40	0	2	0.0	0	9.8e-5
842	Hofstadter Butterflythoughts	0.40	0	1	0	0	1.0e-3
843	How to self study pure math - a step-by-step guidethoughts	0.40	0	1	0	0	1.8e-3
844	Hyperuniformitythoughts	0.40	0	1	0	0	1.5e-4
845	Kompose - Docker Compose to Kubernetesthoughts	0.40	0	0	0	0	0
846	Letting the Neural Code Speakthoughts	0.40	0	2	0.0	0	1.6e-4
847	Morse Combination Problemthoughts	0.40	0	0	0	0	0
848	My Vault as a Signature of my Lifethoughts	0.40	0	0	0	0	0
849	My weird new TODO Blocksthoughts	0.40	0	1	0	0	5.4e-5
850	Obsidian for other Mediathoughts	0.40	0	1	0	0	2.5e-96
851	Obsidian Self Hosted Syncthoughts	0.40	0	1	0	0	7.9e-7
852	On adopting an obsession with Mathematicsthoughts	0.40	0	1	0	0	1.9e-4
853	On Immortalizing My Familythoughts	0.40	0	0	0	0	0
854	On Securing My Stuffthoughts	0.40	0	0	0	0	0
855	Pharmacological tDCSthoughts	0.40	0	7	0.2	0	0.02
856	Phase Space for Youtube Embeddingsthoughts	0.40	0	2	0.1	0	5.8e-4
857	Print Gallerythoughts	0.40	0	1	0	0	1.9e-4
858	Setting up a Homelab Dashboardthoughts	0.40	0	1	0	0	7.9e-7
859	Setting Up Local AIthoughts	0.40	0	4	0.1	0	8.5e-5
860	Social Network Visualizationsthoughts	0.40	0	0	0	0	0
861	Spaced Repetition for Learning Optimizationthoughts	0.40	0	4	0.8	0	2.1e-3
862	The Golden Propertiesthoughts	0.40	0	0	0	0	0
863	The Scaling Hypothesisthoughts	0.40	0	0	0	0	0
864	Thoughts On Making Videosthoughts	0.40	0	3	0.0	0	3.8e-4
865	Upgradingthoughts	0.40	0	11	1.6	0	0.02
866	URC 2024thoughts	0.40	0	0	0	0	0
867	Using iPython for Maththoughts	0.40	0	2	0.0	0	2.8e-4
868	Using More Tags and Atomic Notesthoughts	0.40	0	2	2.6e-4	0	2.8e-81
869	Video Editing With Codethoughts	0.40	0	2	0.0	0	1.9e-4
870	Welch Labsthoughts	0.40	0	3	0.0	0	3.9e-4
871	Weltschmerzthoughts	0.40	0	0	0	0	0

Bridge is betweenness as a percentage of the largest possible; authority and hub are Kleinberg's HITS scores scaled to unit length.