Pith. sign in

Paper Citation Record · LEDGER

Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.01379.

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

pith.paper-citation-record.v1
2405.01379 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:30.223009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:46:14.557251Z

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 5894d4ff-3ce2-452b-828a-ad0ab1158df2 · inbound

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks cites this paper.

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:30.223009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:30.223009Z digest=sha256:af1687d6b93c7f3130b10fd6ac2a4bc9afa701bf462be64b4910ea368d661cd2

Observation 0677d04a-6515-4019-b1cc-8f396a307ee0 · inbound

Formalising Software Requirements using Large Language Models cites this paper.

Formalising Software Requirements using Large Language Models Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:32.618962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:32.618962Z digest=sha256:3e90f475c577f8eb15d12063dbbddec22ec1d7d9160f7a05a4e4642df451eb9d

Observation 01cb34fd-2da7-469e-a76b-04fd576f38ff · inbound

A Short Survey on Formalising Software Requirements using Large Language Models cites this paper.

A Short Survey on Formalising Software Requirements using Large Language Models Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T01:07:26.821274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:07:26.821274Z digest=sha256:a4d3d833d14e2b961ea0c528c5c3651e749a9a3895b2dc1ac906ed15939e5001

Observation 95701591-969b-4024-8c52-33761089e888 · inbound

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects cites this paper.

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T16:13:49.215071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:49.215071Z digest=sha256:d0d71218be066e1a3e7947b8d0c1df8d7dd6212e11c0be3c9c4fd249c1368991

Observation 47ea0f62-985d-4aa6-938d-c7bc67e6aaae · inbound

When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL cites this paper.

When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:14.561791Z

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=2026-05-08T07:59:54.260305Z digest=sha256:6e123dff28ae7c9cad517e604b6801e781362d809bef8db0d1d7a742debac897