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Paper Citation Record · LEDGER

A Survey of Deep Learning for Mathematical Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2212.10535.

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

pith.paper-citation-record.v1
2212.10535 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:31:35.618310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:13:24.733048Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
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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 9b1d8e68-7486-4b70-ae9f-f5065efb7443 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models A Survey of Deep Learning for Mathematical Reasoning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:39.723163Z

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.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:9cf41f8e646c931f2a10da631f5719dfb1f1e23d2c1ed8c792d47b83cb6b8ca5

Observation 4add98e9-d240-4094-9622-d47fb5d22cda · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection A Survey of Deep Learning for Mathematical Reasoning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:13:24.737121Z

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.

source=arxiv_source observed=2026-05-23T20:10:59.264484Z digest=sha256:9fc86bffab95ab57b8950bab5ef2fc4295175190171b44b214b8e841e305a372

Observation 38b49547-1091-4bd6-b74f-452fa692f9eb · inbound

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models cites this paper.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models A Survey of Deep Learning for Mathematical Reasoning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T15:31:35.618310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:31:35.618310Z digest=sha256:753ea3a97589691208460c0903fb844c6a21dba3b8c3cca3bef9a81024bfa940

Observation 58a1ba5a-9ed7-4e07-85cb-4a5b363ff483 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning A Survey of Deep Learning for Mathematical Reasoning

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.089368Z

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.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:8e4970e9b1e63270ecd85ad7c147f948a31257107c45f8592cd453a50d6f747f

Observation 00e78025-7152-48f8-b200-8688be57cbfa · inbound

STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework cites this paper.

STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework A Survey of Deep Learning for Mathematical Reasoning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:46:59.523795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:59.523795Z digest=sha256:7afdabf3810f6efe2576aab48b4cc839248ffb83e3601556fd0574b221fcf641

Observation e66f9d06-fbe0-4640-85e4-121f58bfe3cc · inbound

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness cites this paper.

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness A Survey of Deep Learning for Mathematical Reasoning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:28.262314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:28.262314Z digest=sha256:7e8dd9a9765937a2fb3e7b384d5ec2effa08bc7acdf1d09c99ce38d454c2b3c1

Observation 4f2d73f5-1375-4dde-92bc-f3bc39fa2951 · inbound

Augmenting speech transcripts of VR recordings with gaze, pointing, and visual context for multimodal coreference resolution cites this paper.

Augmenting speech transcripts of VR recordings with gaze, pointing, and visual context for multimodal coreference resolution A Survey of Deep Learning for Mathematical Reasoning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T20:21:26.646950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:21:26.646950Z digest=sha256:54a2f329377605889fba4c21f21f92754ade1d5cfca7844a249a05660ccfc9ca