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Paper Citation Record · LEDGER

DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.23754.

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

pith.paper-citation-record.v1
2505.23754 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:05:18.196322Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:17:33.798014Z

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 f29534e2-07d8-4d36-83ac-1b05ebe13ea5 · inbound

Learning to Reason with Insight for Informal Theorem Proving cites this paper.

Learning to Reason with Insight for Informal Theorem Proving DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:53:04.873243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T08:35:11.082440Z digest=sha256:80a16e6372d22b7244aa859b2ab7796dc72859d40da1d51ddb058eea33a918af

Observation fb3ea233-d89d-488a-8b38-3707d39e6771 · inbound

OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving cites this paper.

OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:16.211148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T06:33:29.860024Z digest=sha256:1163df615d2434918f7c92e1bf40b6b18dcb497b552c3e2942d59390b2c876a6

Observation 512ae2c2-7fc5-4d6f-ba82-4279e2f50625 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Reference 201

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:25.871094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T18:39:44.696961Z digest=sha256:bb455048a00cd3b6986a1d032e949f00663858e11dd9f68cb0eacd7c7ee19369

Observation 30042887-c63a-4dac-b0d3-30814b93582f · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Reference 203

Resolution
unresolved
no resolver link, observed 2026-08-02T12:05:18.196322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:05:18.196322Z digest=sha256:ffbb5a537cb6dc1401ce5adada7c06963fa6a47a9d35e6d6a04ba71efa4f55a9

Observation 42e619b2-7556-421e-bc75-16f39d5103dd · inbound

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier cites this paper.

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Reference 299

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:17:33.799184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-10T18:16:31.176239Z digest=sha256:88112d2ea0614819fea72768220a7cb97f11426207a2ac55462bd9629a33366f

Observation 55de8454-f5f5-4d43-8286-cb072f624e11 · inbound

AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification cites this paper.

AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-14T02:43:21.225324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T02:43:21.225324Z digest=sha256:003e18cb345f26025bdbda4e04dd301c545300824b88de26b429537f933e0c94