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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 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.297628Z digest=sha256:298c8427687be78c56f1b2bc7bda32cbf9525b38943780bc1284c95e88e9d626

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.307526Z digest=sha256:419fe23be658901fc6cd2c23969d99b4b6ee433b5a7ff36734f18cbb01ae556d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.312707Z digest=sha256:3c35a20f724cd92c142b6ce8e0bb15935b223467eb3ca4963a2a827cd6a419ec

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.321932Z digest=sha256:499516e1a5f55875a44ee7327f6907d2b04ceab87c20fd93c2b7261aa4968572

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.327482Z digest=sha256:ed190c2a26237543d0f9b48ac353a6161dc4d2dcd06ed414b4cf17ed984460c4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.332386Z digest=sha256:73100944b47f374834c8cab93569f59b4ca31f03ab300ec126f5d0887894884f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.341504Z digest=sha256:21002ae46459bc218bcd8e42854e10bac1e5f7d225ef23ab7786b55cbdd49095

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.351486Z digest=sha256:f99c349356357c72d7a3bde07e8be5ff7217fbe8f85d4b44d3923a609526ce01

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.367535Z digest=sha256:720b06108f16843faf1a36fdb908e5cc5fbd90353ab2e91bc2753a38aab94678

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.393926Z digest=sha256:3194ac0a596924127b5338ba8a304d786455e34ca02c830b960abda60080c63a

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=sha256:4fdb003d826c4c3193a0dddabf2024d1fa2129d1580196513beae7bebdbe8e49

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.420025Z digest=sha256:2150718fb251131d37ed5100b1c321fbf8dcb70ff3a3290cdd7f5e1caaa1d1ca

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.429105Z digest=sha256:b7059d815a383ebf91bd7f08b2341d8ebcd6a6f9b6766bb6b4cc659c00b6c0ec

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.466124Z digest=sha256:9a12c0b9a713ddb54064f6c5883e39520c9cc1b7216a9e9e25823fa29f1d26d0

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=sha256:3d2d476065186e1163538e5caab3916afa74a96c53f94a7de158f06061184d79

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.492585Z digest=sha256:7a5744dadfad204e822e28181e07b7e9888796a996f9b68f85754ac8106f4419

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.498786Z digest=sha256:5610b8d969af239bf6796b7c3e05e3429d6c9d55ec15bbd6d836035ada343103

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T18:38:00.513987Z digest=sha256:b39678dd4cc57a6b9e7aa0685eeeabb9b5ebe0735bfdcd7a55c5179fddfe5608

Pith citing papers

No inbound Pith citation observations are available.