Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09182.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:41:06.174679Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fbcf8bed-f946-4a04-aad8-8f441aa1212c · inbound
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories cites this paper.
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:41:06.174679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89195774-307d-418e-aacd-e0f4d868f60a · inbound
SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science cites this paper.
SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:38:12.128810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.