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Paper Citation Record · LEDGER

Leveraging Large Language Models for Automated Proof Synthesis in Rust

As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.03739.

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

pith.paper-citation-record.v1
2311.03739 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:40:36.638795Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:52.478249Z

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 8ed6d005-1735-48ef-ba72-3632ac01bcf5 · inbound

Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? cites this paper.

Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? Leveraging Large Language Models for Automated Proof Synthesis in Rust

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:35:36.384385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-18T01:34:03.866227Z digest=sha256:6c5cff88b8ff0f8ad38b447446ddd1df92601ff2d7fcf4cb0f85721a9c798504

Observation 6bcc3ecf-b03f-4b91-ab52-0cdbdfc1cef6 · inbound

An Empirical Study of LLM-Generated Specifications for VeriFast cites this paper.

An Empirical Study of LLM-Generated Specifications for VeriFast Leveraging Large Language Models for Automated Proof Synthesis in Rust

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:49:52.479787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-26T04:49:18.958925Z digest=sha256:109682af0a0fb18707b7bd46ed68343ebf28a9ac1b125025e8064943df1ac3ec

Observation 8a8a1cc0-646b-4a22-b170-bfbd985686ab · inbound

HarnessLLM: Rust Verification Harness Generation with Large Language Models cites this paper.

HarnessLLM: Rust Verification Harness Generation with Large Language Models Leveraging Large Language Models for Automated Proof Synthesis in Rust

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-01T05:40:36.638795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:40:36.638795Z digest=sha256:faa1267b759898023d1e1a631d700a70b92ad4087f1171bd51a0842faee90697