Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.17125.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:58:37.754375Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T16:25:50.050825Z
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 28e094ef-14d4-4a59-b32f-c699e1dd84c1 · inbound
Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation cites this paper.
Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity
Reference 126
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T12:58:37.754375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2eed400-1f26-405c-b1eb-9360515b8074 · inbound
LLM-Based Config Synthesis requires Disambiguation cites this paper.
LLM-Based Config Synthesis requires Disambiguation To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:51:53.663464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b10ae6b-0d52-4571-b6ae-39c56af6d019 · inbound
What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs cites this paper.
What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity
Reference 101
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T16:25:50.052240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.