Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harnessing Large Language Models as Post-hoc Correctors
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.13414.
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 2026-08-06T19:23:38.556065Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T10:57:46.329406Z
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 824b315f-1c74-4587-ab00-328a63b74041 · inbound
Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs cites this paper.
Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Harnessing Large Language Models as Post-hoc Correctors
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:23:38.556065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70ec1711-0d73-474b-a574-745a536bc3f8 · inbound
What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization cites this paper.
What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization Harnessing Large Language Models as Post-hoc Correctors
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:57:46.332066Z
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 42635871-a5d4-402b-852f-bb2c42ff4a6a · inbound
BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection cites this paper.
BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection Harnessing Large Language Models as Post-hoc Correctors
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:16:01.493881Z
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.