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Paper Citation Record · LEDGER

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.14562.

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

pith.paper-citation-record.v1
2407.14562 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:01:23.206684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:41.740276Z

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 2a2bc575-e57b-4cd8-8d55-def64f500f8b · inbound

Training Language Models to Use Prolog as a Tool cites this paper.

Training Language Models to Use Prolog as a Tool Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:18:48.448837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T01:15:43.096577Z digest=sha256:7cfffacdb76be6044bed8ae30ef4f3763911d138ba30bc4ff0edb96ee22bb931

Observation 9d903bbd-ca62-4b0e-bf1f-793b010f21e0 · inbound

Training Language Models to Use Prolog as a Tool cites this paper.

Training Language Models to Use Prolog as a Tool Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T18:01:23.206684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:01:23.206684Z digest=sha256:cfdb65debe67893306dae32dcb9321447f106a9d98aa7c4c40d80642abb2431c

Observation 566189bc-846c-4ea4-8fb7-5763595491b2 · inbound

PrologMCP: A Standardized Prolog Tool Interface for LLM Agents cites this paper.

PrologMCP: A Standardized Prolog Tool Interface for LLM Agents Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:43.250472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T04:26:22.116601Z digest=sha256:ee5b4d44acdfbf3e821f83a8b4db865da7814477cff82034074c2626571b4c15

Observation 47f9b292-ecb4-4f4b-8822-b6d0eb93d8c9 · inbound

VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows cites this paper.

VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:41.741922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T11:00:19.246229Z digest=sha256:253571b3ec467036bd41552b3e7877796b72f0dc34863c01e329d6d39bf654f5