Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09336.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-18T20:54:30.449792Z
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 7a5f72b0-486c-475a-9874-9b454c8931c8 · inbound
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention cites this paper.
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T20:56:50.436665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa90ed5f-c288-496d-a858-8dba83f0ea9f · inbound
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
Reference 160
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:17:56.280390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.