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Paper Citation Record · LEDGER

Collision Resistance of Single-Layer Neural Nets

As of 6 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.03807.

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

pith.paper-citation-record.v1
2606.03807 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T09:21:45.912186Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact11
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04be9c19-68c9-4fc3-a14c-ac3728b6768a · outbound

This paper cites Physical Review Letters115, 128101 (2015).

Collision Resistance of Single-Layer Neural Nets Physical Review Letters115, 128101 (2015)

Reference 1

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.594246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5c24628e-9177-4eea-b556-423ae567a562 · outbound

This paper cites Random Structures & Algo- rithms57(4), 879–891 (2020).

Collision Resistance of Single-Layer Neural Nets Random Structures & Algo- rithms57(4), 879–891 (2020)

Reference 2

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.597229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b5bb449e-2d3f-4764-8d3f-3861f776f533 · outbound

This paper cites an unresolved cited work.

Collision Resistance of Single-Layer Neural Nets Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T09:21:45.912186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ce72b55e-c359-4bd6-9015-1e98e8774f4e · outbound

This paper cites Journal of Statistical Mechanics: Theory and Experiment2025(12), 123303 (2025).

Collision Resistance of Single-Layer Neural Nets Journal of Statistical Mechanics: Theory and Experiment2025(12), 123303 (2025)

Reference 4

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.603258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:f2dd98e4c3d3bee556b4c198409eb6babdaec7fba4fe36ada6cd6afb94ad3d59

Observation 14aa55f9-d990-46da-bb6e-fb9e8f90da9d · outbound

This paper cites Cambridge University Press (2009).

Collision Resistance of Single-Layer Neural Nets Cambridge University Press (2009)

Reference 5

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.569048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7a74391d-0c1f-4350-8aad-83583ff23b89 · outbound

This paper cites The overlap gap property: A topological barrier to optimizing over random structures.

Collision Resistance of Single-Layer Neural Nets The overlap gap property: A topological barrier to optimizing over random structures

Reference 6

Resolution
metadata mismatch
doi, observed 2026-06-28T09:21:48.584593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8f99164e-0ab4-4117-9cae-821b8fa09ed8 · outbound

This paper cites The Annals of Probability49(1), 180–205 (2021).

Collision Resistance of Single-Layer Neural Nets The Annals of Probability49(1), 180–205 (2021)

Reference 7

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.593279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:fd74aa5e9fdfc34eda45c64411558c6e04a1f645b78d6f04f939933763607832

Observation f57c71a5-d94d-4650-a18c-a84c29694493 · outbound

This paper cites 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS) , pages =.

Collision Resistance of Single-Layer Neural Nets 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS) , pages =

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T09:21:48.587704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:d0cc2ea97e8a9fb5abcefd7d1bea7e4b47db3ee274228fe6eada946046338f1b

Observation 5289e205-5674-4bb6-acfc-bc2b7e24a070 · outbound

This paper cites Liu, Richard Peng, Maximilian Probst Gutenberg, and Sushant Sachdeva.

Collision Resistance of Single-Layer Neural Nets Liu, Richard Peng, Maximilian Probst Gutenberg, and Sushant Sachdeva

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T09:21:48.581125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5afddd7e-f8c3-4dcb-b378-8d1587c7217c · outbound

This paper cites https://doi.org/10.1214/16-AOP1114.

Collision Resistance of Single-Layer Neural Nets https://doi.org/10.1214/16-AOP1114

Reference 10

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verified exact
doi, observed 2026-06-28T09:21:48.589196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:6b116714a4557ffce38fbb0c6bc42911aa330e4ce8a84289992dce89c3a430b2

Observation fdb04f98-f55b-42ec-83d9-733d44f11695 · outbound

This paper cites Journal of Physics A: Mathematical and General , volume =.

Collision Resistance of Single-Layer Neural Nets Journal of Physics A: Mathematical and General , volume =

Reference 11

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.600917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e4f857ff-e10a-44dd-a14d-d13163c8107f · outbound

This paper cites Gardner and B.

Collision Resistance of Single-Layer Neural Nets Gardner and B

Reference 12

Resolution
metadata mismatch
doi, observed 2026-06-28T09:21:48.599264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:3672e537876f29daed85f694a200cff30c6b05fff51308feb1808964cfeaf045

Observation 7665c7e9-b04e-4083-9888-df36eacf4eda · outbound

This paper cites In: Proceedings of the Conference on Computational Learning Theory (COLT).

Collision Resistance of Single-Layer Neural Nets In: Proceedings of the Conference on Computational Learning Theory (COLT)

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-28T09:21:48.591194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:18e48a7db87701f134049255b0070c980e4795203cdd46f12014acf61a7d2352

Observation c02ed84f-cb99-406a-8f79-d685ccc6ce11 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

Collision Resistance of Single-Layer Neural Nets In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T09:21:45.912186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:5baf0ff2d10cc68639dd69e385490c25ac65d15409ea544a16cd3c5d0959a9e5

Observation 84852f2d-f827-4827-b6b1-bc3e47ce0027 · outbound

This paper cites Linear-Time Algorithms for k-Edge-Connected Components, k-Lean Tree Decompositions, and More , booktitle =.

Collision Resistance of Single-Layer Neural Nets Linear-Time Algorithms for k-Edge-Connected Components, k-Lean Tree Decompositions, and More , booktitle =

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T09:21:48.602179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:173aca7d8f380d028a9072c19f41254f96ef629ebd5c3bd4932965b5c541a333

Observation 51d7c7d0-4787-4e9d-86ee-6f2475d16e56 · outbound

This paper cites The bulletin of mathematical biophysics , author =.

Collision Resistance of Single-Layer Neural Nets The bulletin of mathematical biophysics , author =

Reference 16

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.583757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:f9728baa2c7279077623b2c6bce4dfff1c74ddee8a881e8243082afe4fe97fcb

Observation fd5b99b7-95fe-4119-951e-8cbdb04e43ca · outbound

This paper cites Oxford Univer- sity Press (2018).https://doi.org/10.1093/oso/9780198814788.001.0001.

Collision Resistance of Single-Layer Neural Nets Oxford Univer- sity Press (2018).https://doi.org/10.1093/oso/9780198814788.001.0001

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T09:21:48.572971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:7afc0d75cea4901b2403c752d71a2db55293d49240a1f6e4dce5862e163ab4f0

Observation 5afe87b8-5cea-48cc-aec8-6cecb40374b8 · outbound

This paper cites Scientific Reports16, 10139 (2026).

Collision Resistance of Single-Layer Neural Nets Scientific Reports16, 10139 (2026)

Reference 18

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.607758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:22cb18819fedbd015d6f401af54fe57d7ce76b9d460d7f2dc685db03d5273b71

Observation 15de5c20-4fbc-4852-bbf5-6f57557c11fa · outbound

This paper cites Rosenblatt.

Collision Resistance of Single-Layer Neural Nets Rosenblatt

Reference 19

Resolution
metadata mismatch
doi, observed 2026-06-28T09:21:48.582229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:698db550fb2ba5269c9904cc2eb1b302f144352c1ae80719281838b256237e75

Observation 30a2230f-c216-4a44-87d7-e81a9255573b · outbound

This paper cites Spartan, Washington, DC (1962).

Collision Resistance of Single-Layer Neural Nets Spartan, Washington, DC (1962)

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-28T09:21:45.912186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:e4bac590a86c787b0443d021b002494fa86cf8a73435cc1eb41fd3d1f4c0fa78

Observation f4b25646-5d72-4198-9374-0006ff9b3cd5 · outbound

This paper cites Inventiones Mathematicae210(1), 135–209 (2017).

Collision Resistance of Single-Layer Neural Nets Inventiones Mathematicae210(1), 135–209 (2017)

Reference 21

Resolution
verified exact
doi, observed 2026-06-28T09:21:48.595195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:8903920b1051fb7bb8105b688a123cfea68927b1fad5bfb51ac0da94d0b55855

Observation aed18834-dbc7-449d-bbdd-2aac67e8decc · outbound

This paper cites Vizing’s theorem in near-linear time.

Collision Resistance of Single-Layer Neural Nets Vizing’s theorem in near-linear time

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T09:21:48.587084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:4f2434741b9dc7694df023a7bac6e888a8a92d085e39fd36cf42f8b819e6e8a3

Observation 909414b8-fe08-4701-a147-5715bae19721 · outbound

This paper cites Comput.54, 2 (2025), 193–232.

Collision Resistance of Single-Layer Neural Nets Comput.54, 2 (2025), 193–232

Reference 23

Resolution
metadata mismatch
doi, observed 2026-06-28T09:21:48.577119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T09:21:45.912186Z digest=sha256:261e47f14367ef71a12b1ce1f937561a2bfabfdd487d97f76f9f212828ee3467

Pith citing papers

No inbound Pith citation observations are available.