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Paper Citation Record · LEDGER

Fact-Checking Complex Claims with Program-Guided Reasoning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.12744.

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

pith.paper-citation-record.v1
2305.12744 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:59:59.423542Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:33:21.513257Z

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 560fe7f5-7e21-4030-9a23-75f5a42f7f8d · inbound

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy cites this paper.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-08T21:59:59.423542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:59:59.423542Z digest=sha256:a776435533621c3106508d04706fbdb4953ae7e882aa42bb2cf95447d6fc4835

Observation 0f68696c-6ef3-4f2b-b450-f8d6f5f12712 · inbound

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing cites this paper.

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:03.855695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:45:03.855695Z digest=sha256:37856fb446f1f334925d38b6fc2a14b4aaf9d82482215300faaacdd6301cca8f

Observation b584d2a8-6a99-4712-8203-2481351ce55d · inbound

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks cites this paper.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T06:05:30.772652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:05:30.772652Z digest=sha256:0d7f50165273cc18613bd6125c94dede8227c8ad7d28e78db31fd1761e5af00f

Observation 5903a929-8588-481a-ac8d-c18c4c1d95e6 · inbound

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking cites this paper.

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:47.145817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:51:47.145817Z digest=sha256:4beaf7187aa69b0c2657e69fa53538fa1cb17286e4110ad33ba80715cf78fccc

Observation 9b2cf839-eefd-4ab1-ba27-3e8dd4b1b587 · inbound

Recon, Answer, Verify: Agents in Search of Truth cites this paper.

Recon, Answer, Verify: Agents in Search of Truth Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:03.150474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:13:03.150474Z digest=sha256:2cbe0ac79a64b38f796a340a91e97ef7a5ab2bd8a75024d596a32eee9c9734c7

Observation 8f34a159-81d0-4fbf-aacf-bce1529d4d05 · inbound

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification cites this paper.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T17:15:44.383025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:15:44.383025Z digest=sha256:079d69fd60e02a093e3f1528a84f1727087fed838f56fb5c6dcd277f76f3c5cf

Observation ce935edc-6c73-4d06-ab6c-793da418bbc6 · inbound

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection cites this paper.

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:33:21.566611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:33:19.657963Z digest=sha256:feabfc037e157cdf9222cdbee39a5c10d030edde3a40fe28b055302d3b8539ac

Observation 344fbdec-9ae2-4340-8ab5-1c1d0bfa7c0c · inbound

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T17:04:35.123149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:04:35.123149Z digest=sha256:805bd1478547735dcdea7a25ce5f25f857ab07195ac64216eb48131375eb69e0