Paper Citation Record · LEDGER

A Survey on Deep Learning for Theorem Proving

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.09939.

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

pith.paper-citation-record.v1
2404.09939 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:11:23.159080Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5eef2327-a35a-4aca-9d21-b3f1438a3d87 · inbound

FormaRL: Enhancing Autoformalization with no Labeled Data cites this paper.

FormaRL: Enhancing Autoformalization with no Labeled Data A Survey on Deep Learning for Theorem Proving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.159080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e3a2d4a-6399-483b-885c-670c6e7c972e · inbound

An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development cites this paper.

An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development A Survey on Deep Learning for Theorem Proving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T11:30:02.918053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b182c3b7-3df4-4b82-aa6d-d164abbc6f10 · inbound

The Search for Constrained Random Generators cites this paper.

The Search for Constrained Random Generators A Survey on Deep Learning for Theorem Proving

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:15:21.833253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 08a71258-e0d0-428a-b289-657eb98f92c0 · inbound

VeruSAGE: A Study of Agent-Based Verification for Rust Systems cites this paper.

VeruSAGE: A Study of Agent-Based Verification for Rust Systems A Survey on Deep Learning for Theorem Proving

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:08:33.063507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 436c686d-2dcf-460e-b360-184163a28336 · inbound

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics cites this paper.

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics A Survey on Deep Learning for Theorem Proving

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:47:31.584790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca3b3f48-6351-431c-8e94-54e2c2f22731 · inbound

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs cites this paper.

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs A Survey on Deep Learning for Theorem Proving

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:19:00.441703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00c307df-1997-40c7-87ea-d407773e7afd · inbound

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs cites this paper.

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs A Survey on Deep Learning for Theorem Proving

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:57.775900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78e04b2-ced6-44f6-896a-952837376704 · inbound

LAMP: Lean-based Agentic framework with MCP and Proof Repair cites this paper.

LAMP: Lean-based Agentic framework with MCP and Proof Repair A Survey on Deep Learning for Theorem Proving

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:44:27.813953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 126126d2-8c00-400b-868e-2267c7d95e7f · inbound

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization cites this paper.

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization A Survey on Deep Learning for Theorem Proving

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-11T15:42:50.296348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 489a765b-edb2-4cc3-acea-d0f95b8829f3 · 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 A Survey on Deep Learning for Theorem Proving

Reference 136

Resolution: verified exact; local_arxiv, observed 2026-07-10T18:17:33.787381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.