Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T09:22:55.693589Z
Paper Citation Record · LEDGER
RM-Distiller: Exploiting Generative LLM for Reward Model Distillation
As of 19 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2601.14032.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T05:56:17.737907Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 45c36267-7c52-478e-99cd-8facc28a1d18 · outbound
This paper cites an unresolved cited work.
RM-Distiller: Exploiting Generative LLM for Reward Model Distillation Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:22:55.562956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8adebea6-7fb7-46de-b6df-78a16cd9cf67 · outbound
This paper cites an unresolved cited work.
RM-Distiller: Exploiting Generative LLM for Reward Model Distillation Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:22:55.693589Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 9a773957-8649-4b9b-ad69-1914364fe1e5 · inbound
Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization cites this paper.
Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization RM-Distiller: Exploiting Generative LLM for Reward Model Distillation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:56:17.737907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.