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Paper Citation Record · LEDGER

Is deep learning a useful tool for the pure mathematician?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.12602.

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

pith.paper-citation-record.v1
2304.12602 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:39:38.067385Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:18:00.791743Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fe0d8362-401c-4d09-8697-0e3064b16ecb · inbound

Big data approach to Kazhdan-Lusztig polynomials cites this paper.

Big data approach to Kazhdan-Lusztig polynomials Is deep learning a useful tool for the pure mathematician?

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T04:39:38.067385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:39:38.067385Z digest=sha256:a3217a75971eb344b051f9380260ae9f27b93e86dea5efbddc78785612a9f776

Observation 81fb63eb-64db-43b2-bf5b-75be4762c7b0 · inbound

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? cites this paper.

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? Is deep learning a useful tool for the pure mathematician?

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-09T23:13:21.969517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:13:21.969517Z digest=sha256:8a1c6f26982e7174967ae542220274fc2f995db301c12827bfd7802a1c8fb22c

Observation 999db711-e158-4b4c-8313-a2921d0c7d2c · inbound

Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity cites this paper.

Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity Is deep learning a useful tool for the pure mathematician?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T11:43:56.925203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:43:56.925203Z digest=sha256:df62ba89bd00cb1032b585672acee0a2b8ffeb30581c1d2e3acde9a922041e19

Observation 73b1acc5-f06a-43f0-98c2-4c84da3e9a47 · inbound

A Hybrid Framework for Healing Semigroups with Machine Learning cites this paper.

A Hybrid Framework for Healing Semigroups with Machine Learning Is deep learning a useful tool for the pure mathematician?

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:18:00.838521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T12:18:00.576759Z digest=sha256:130a96e720be89a7e4e3b0e58d90258d2ed72793f7474994d6c37b59ffc4c1a3