Paper Citation Record · LEDGER

Estimating the Probability of Sampling a Trained Neural Network at Random

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2501.18812.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.18812 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:32:02.301453Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:25:10.589828Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T09:35:40.831805Z

Reference resolution

27 of 27 outbound references displayed

verified exact1
verified fuzzy3
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 896c7458-9d34-40ef-aa32-37ad2ab346e1 · outbound

This paper cites write newline.

Estimating the Probability of Sampling a Trained Neural Network at Random write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.218276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a66573-35a5-4ff8-8bb4-eecedec07fc4 · outbound

This paper cites write newline.

Estimating the Probability of Sampling a Trained Neural Network at Random write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.222523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95bbcf99-e3b0-4d5a-ad7b-8063aa60b64a · outbound

This paper cites and Kaynak, C.

Estimating the Probability of Sampling a Trained Neural Network at Random and Kaynak, C

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.225618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b12266b4-f9ac-416e-a06b-1a4cfac411fe · outbound

This paper cites Understanding Gradient Descent through the Training Jacobian.

Estimating the Probability of Sampling a Trained Neural Network at Random Understanding Gradient Descent through the Training Jacobian

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-09T22:32:02.373698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da663d04-6c2c-4772-abb0-79fcf0a585e1 · outbound

This paper cites an unresolved cited work.

Estimating the Probability of Sampling a Trained Neural Network at Random Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:32:02.485557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df2fe72e-17ec-480b-ae5e-e66c1872e561 · outbound

This paper cites G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M.

Estimating the Probability of Sampling a Trained Neural Network at Random G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.235688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09afa9f5-c25d-42e2-ad7a-733fe3bd43c9 · outbound

This paper cites Y., Bansal, A., Geiping, J., Goldblum, M., and Goldstein, T.

Estimating the Probability of Sampling a Trained Neural Network at Random Y., Bansal, A., Geiping, J., Goldblum, M., and Goldstein, T

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.239024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9738a249-caa3-4105-a9d3-d1aef47b6887 · outbound

This paper cites Sharp minima can generalize for deep nets.

Estimating the Probability of Sampling a Trained Neural Network at Random Sharp minima can generalize for deep nets

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.242206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388886f2-a4cd-4e62-a5ab-c06644489f92 · outbound

This paper cites HesScale: Scalable Computation of Hessian Diagonals.

Estimating the Probability of Sampling a Trained Neural Network at Random HesScale: Scalable Computation of Hessian Diagonals

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.245552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7840be51-383f-45b3-b8ea-1f1b1c2acf45 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization.

Estimating the Probability of Sampling a Trained Neural Network at Random Sharpness-aware minimization for efficiently improving generalization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:32:02.462034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e176cac5-ab6e-44de-872b-2a32bee7beb6 · outbound

This paper cites an unresolved cited work.

Estimating the Probability of Sampling a Trained Neural Network at Random Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:32:02.452878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22950180-ea08-4aad-ae44-56e2c0ebcc08 · outbound

This paper cites and Schmidhuber, J.

Estimating the Probability of Sampling a Trained Neural Network at Random and Schmidhuber, J

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.255846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0379b086-8d57-4efb-ac65-fdc0aeaa16d6 · outbound

This paper cites Loss Landscape Degeneracy and Stagewise Development in Transformers.

Estimating the Probability of Sampling a Trained Neural Network at Random Loss Landscape Degeneracy and Stagewise Development in Transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.259078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89dfeb89-1a6b-4fad-a44b-4a7eed3223d5 · outbound

This paper cites R., Emam, Z.

Estimating the Probability of Sampling a Trained Neural Network at Random R., Emam, Z

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:32:02.439138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef0d1e4c-2603-4f02-ac81-b33ae4afbaca · outbound

This paper cites and Hinton, G.

Estimating the Probability of Sampling a Trained Neural Network at Random and Hinton, G

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.265435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e1ae20e-9c19-4b70-a8e9-752c9732d080 · outbound

This paper cites The Local Learning Coefficient: A Singularity-Aware Complexity Measure.

Estimating the Probability of Sampling a Trained Neural Network at Random The Local Learning Coefficient: A Singularity-Aware Complexity Measure

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.268422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041937fa-324c-4e3c-8585-c502ff2e09dc · outbound

This paper cites Stochastic Gradient Descent as Approximate Bayesian Inference.

Estimating the Probability of Sampling a Trained Neural Network at Random Stochastic Gradient Descent as Approximate Bayesian Inference

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.271661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a292eb-1e27-4235-a009-34e7a0771b60 · outbound

This paper cites and Grosse, R.

Estimating the Probability of Sampling a Trained Neural Network at Random and Grosse, R

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.274962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490fd6ac-c679-4074-ad13-32c16de88c9c · outbound

This paper cites an unresolved cited work.

Estimating the Probability of Sampling a Trained Neural Network at Random Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:32:02.420745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6daad7f-f2f4-4a7b-ad84-6a277e089348 · outbound

This paper cites M., Hartmann, V., and Abbasnejad, E.

Estimating the Probability of Sampling a Trained Neural Network at Random M., Hartmann, V., and Abbasnejad, E

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.280993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf7ce01-8f6e-4fcc-906e-394e9be6a8e3 · outbound

This paper cites Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient.

Estimating the Probability of Sampling a Trained Neural Network at Random Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.283805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53af6880-0dd9-4484-9069-15c794163d3a · outbound

This paper cites Algebraic geometry and statistical learning theory, volume 25.

Estimating the Probability of Sampling a Trained Neural Network at Random Algebraic geometry and statistical learning theory, volume 25

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.287043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a4b471-de28-4686-915a-dd5b4f1410dc · outbound

This paper cites and Teh, Y.

Estimating the Probability of Sampling a Trained Neural Network at Random and Teh, Y

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.289881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 251ed84a-bcfb-43b0-95f9-e1f2d022ecf1 · outbound

This paper cites S., and Xie, S.

Estimating the Probability of Sampling a Trained Neural Network at Random S., and Xie, S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:32:02.397383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac2dd1fa-4a83-490f-81de-6e08caa3fa3f · outbound

This paper cites @esa (Ref.

Estimating the Probability of Sampling a Trained Neural Network at Random @esa (Ref

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.295693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8808f601-18ce-4cde-9389-105fb1f7fccd · outbound

This paper cites an unresolved cited work.

Estimating the Probability of Sampling a Trained Neural Network at Random Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.298964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9edd10d4-a214-4e2f-865b-f1ab6350ca21 · outbound

This paper cites an unresolved cited work.

Estimating the Probability of Sampling a Trained Neural Network at Random Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T22:32:02.301453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3c86b8d4-c2ff-4962-8ffb-27a7ba8acf91 · inbound

Revisiting the Volume Hypothesis cites this paper.

Revisiting the Volume Hypothesis Estimating the Probability of Sampling a Trained Neural Network at Random

Reference 300

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:40.833769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.