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Paper Citation Record · LEDGER

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions

As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2502.10335.

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

pith.paper-citation-record.v1
2502.10335 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:38:00.513987Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

19 of 19 outbound references displayed

  • verified exact2
  • verified fuzzy14
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 70e075f7-5238-4ac9-9178-e21e962ec893 · outbound

This paper cites Adleman and Kevin S.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Adleman and Kevin S

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.558259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.297628Z digest=sha256:2eb50cedd7b5f8e51e1836a0cabcb63614eaeaafc999fff0104f6db0c164b6f3

Observation 7881e815-f105-408e-8f52-48e5ca918a85 · outbound

This paper cites Booker, Ghaith A.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Booker, Ghaith A

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.531441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.307526Z digest=sha256:7f1e5a03c868be4e56ca73d39cfb8157f4b4c430fc648c6ffda2d7f41cc4e421

Observation dbc79bef-4808-4aa1-9601-330704abedae · outbound

This paper cites Transformers to Predict the Applicability of Symbolic Integration Routines.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Transformers to Predict the Applicability of Symbolic Integration Routines

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T18:38:00.852822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.312707Z digest=sha256:9cfc5b17b4d5908e8e4f4e2772c7115ca28ca0c81b28d1739cfb1196a1947971

Observation 4500b7f2-97ab-4231-8590-fbea7f8b7934 · outbound

This paper cites Computing the roots of polynomials.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Computing the roots of polynomials

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.473916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.321932Z digest=sha256:f22c4f161f311eed6e94a74221ff1049b6f73edc68c2b1efad4de935737005c0

Observation ced92f47-5370-489f-81b7-7f70c5719c37 · outbound

This paper cites Linear algebra with transformers.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Linear algebra with transformers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.391571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.327482Z digest=sha256:864219786f9170db42e16ec5c0cb150047eb75312e5e9e821b057f9c906cb9c4

Observation 88a74714-73ad-46a7-a4a8-4ff9276ba9cb · outbound

This paper cites Int2int, 2024.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Int2int, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.285922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.332386Z digest=sha256:594577f7706e8fc4555f6eee8e98a944b16b757ba51c1eb3a4cb428bfac48a87

Observation 42c39f16-e0ac-4bd4-87d9-76df95a08f2f · outbound

This paper cites Learning the greatest common divisor: explaining transformer predictions.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Learning the greatest common divisor: explaining transformer predictions

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.227082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.341504Z digest=sha256:64825df6464f13981389171bfb468655a37379ae4c9aad50539734266375e036

Observation 03faf340-ec85-4180-a69f-04109e665f0f · outbound

This paper cites What does machine learning have to offer number theory? Available at https://youtu.be/jjA2CqY5Ang, 2024.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions What does machine learning have to offer number theory? Available at https://youtu.be/jjA2CqY5Ang, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.177354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.351486Z digest=sha256:79883bf2fac09fe17d20374fa640dd95eab89f1f8412bec76885081918cbec59

Observation 00853063-03dd-4322-889c-e7fe46e9afdd · outbound

This paper cites The M \"obius function is strongly orthogonal to nilsequences.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions The M \"obius function is strongly orthogonal to nilsequences

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.144703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.367535Z digest=sha256:1334f62c3a72e3ead8bb950952d48e2bd4c7ad99215c81a3f74e297a52dea86e

Observation 8a93d238-3e02-4267-ad65-228869172e97 · outbound

This paper cites Kreber, Markus Norman Rabe, and Bernd Finkbeiner.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Kreber, Markus Norman Rabe, and Bernd Finkbeiner

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.117641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.393926Z digest=sha256:4a8dfd1be8987b5e1ca3ce060e12d76b92761d4239238fcabbbd237815805016

Observation 252c5ce3-081b-4e0e-aa35-f30a17baef9b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Adam: A Method for Stochastic Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T18:38:00.407640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:38:00.407640Z digest=sha256:794aba6cc72129e6a33ab04db6e9b275b1f92bcd0f3360f42bb82d6aa6528ba2

Observation 441634d8-1522-425a-a505-8c9aa0cc70c4 · outbound

This paper cites Neural GPUs learn algorithms.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Neural GPUs learn algorithms

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.087356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.420025Z digest=sha256:3699a3c93c1597bfe0cac22e5b0fc3b4d91044d9064a4dbfc5fc2c33667db24d

Observation d0614185-442e-49eb-b504-2756a45af32b · outbound

This paper cites Code accompanying ``Studying number theory with deep learning: a case study with the M\" o bius and squarefree indicator functions'' , 2025.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Code accompanying ``Studying number theory with deep learning: a case study with the M\" o bius and squarefree indicator functions'' , 2025

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.053893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.429105Z digest=sha256:392b2c59483fe559b732f6ff6a5856c8704d55264279a4c18e11022134cb38db

Observation 974c0862-186d-4b87-9095-3484d494f813 · outbound

This paper cites Montgomery and Robert C.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Montgomery and Robert C

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T18:38:00.446289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:38:00.446289Z digest=sha256:1432f039f06e11cc6c3e33353f833a792cb8b69ac9e773ddd606cb15b6c24b72

Observation 26f74712-452e-43c9-b5f8-f98c45e1f0ec · outbound

This paper cites Investigating the ability of neural networks to learn simple modular arithmetic.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Investigating the ability of neural networks to learn simple modular arithmetic

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:01.001832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.466124Z digest=sha256:950e9025c6175c97fd9a611f188d06aaf6f8f8bb4b02506bebf40341adfa90fd

Observation 0b44bf4c-d91f-4965-8401-5d09c16a50bd · outbound

This paper cites Generative Language Modeling for Automated Theorem Proving.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Generative Language Modeling for Automated Theorem Proving

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T18:38:00.487359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:38:00.487359Z digest=sha256:2b33d277d41a96c844d9623c1fb7a0a08954d47b3c5655233852b4ff4e2c0275

Observation da5f9b78-b22c-4087-9dee-802c750f9e76 · outbound

This paper cites Three lectures on M öbius randomness.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Three lectures on M öbius randomness

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:00.969053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.492585Z digest=sha256:2db28851b226b07d8179e0828c44729a7967baa5684ddab59a4d754d73c74ba7

Observation 6facfc28-7978-4fb0-9167-64dcde37d017 · outbound

This paper cites Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T18:38:00.629392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.498786Z digest=sha256:e4527a6610f180dedf0d94d018f789bc8f206bd8cf4a604c0113e9107d847a36

Observation b9a2d851-7f53-40ef-8f7a-1b8872e79a1b · outbound

This paper cites Number-theoretic functions which are equivalent to number of divisors.

Studying number theory with deep learning: a case study with the M\"obius and squarefree indicator functions Number-theoretic functions which are equivalent to number of divisors

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:00.926526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.513987Z digest=sha256:10efc2607cfb069f9e83316b9cf377e6a2557309401f8b59c55ec53b327921f6

Pith citing papers

No inbound Pith citation observations are available.