Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Factuality of Large Language Models: A Survey
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.02420.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:48:18.746771Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:37:22.698075Z
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 f65fc0bd-1523-4229-a7ee-f6471302f18a · inbound
AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models cites this paper.
AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models Factuality of Large Language Models: A Survey
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:48:18.746771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b70240b4-26e7-4d43-8b51-b747422c83f2 · inbound
Conversational AI as a Catalyst for Informal Learning: An Empirical Large-Scale Study on LLM Use in Everyday Learning cites this paper.
Conversational AI as a Catalyst for Informal Learning: An Empirical Large-Scale Study on LLM Use in Everyday Learning Factuality of Large Language Models: A Survey
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:06:32.997345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a55d6146-7fde-416b-b4f3-b006f12a3f5e · inbound
Generating Findings for Jaw Cysts in Dental Panoramic Radiographs Using a GPT-Based VLM: A Preliminary Study on Building a Two-Stage Self-Correction Loop with Structured Output (SLSO) Framework cites this paper.
Generating Findings for Jaw Cysts in Dental Panoramic Radiographs Using a GPT-Based VLM: A Preliminary Study on Building a Two-Stage Self-Correction Loop with Structured Output (SLSO) Framework Factuality of Large Language Models: A Survey
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:36:15.344297Z
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.
Observation b09d09c4-3956-477e-9ba1-a1c4f865550a · inbound
Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks cites this paper.
Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks Factuality of Large Language Models: A Survey
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:10:01.987837Z
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.
Observation 81e58a6a-c422-446a-95c5-9829181198df · inbound
Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation cites this paper.
Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation Factuality of Large Language Models: A Survey
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:37:22.699420Z
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.