Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.11629.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:43:37.090464Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:22:09.521459Z
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 32853662-41c9-4182-b0a5-e7992800e634 · inbound
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
Reference 211
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:08:34.799179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 484a4072-e04a-48de-ab28-1cc81f520af0 · inbound
MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning cites this paper.
MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:43:37.090464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5c8d339-ff00-4549-8964-23ffda544f23 · inbound
A Survey of Scaling in Large Language Model Reasoning cites this paper.
A Survey of Scaling in Large Language Model Reasoning Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
Reference 188
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:22:09.524141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.