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Paper Citation Record · LEDGER

Are Expert-Level Language Models Expert-Level Annotators?

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.03254.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.03254 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T23:59:27.228553Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T00:02:17.562253Z

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 b596c50b-a255-4471-8d87-4f96212a20ae · 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 Are Expert-Level Language Models Expert-Level Annotators?

Reference 229

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:35.522811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:9d231ee8a7445a291fac378217e2cdb9872594aa45b6da4e93fbdcaf5f1a6cac

Observation b32719bc-b44b-438a-b58d-6cdea0a1f50e · inbound

Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators cites this paper.

Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators Are Expert-Level Language Models Expert-Level Annotators?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:02:17.565591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T23:59:27.228553Z digest=sha256:1770e988b7650ce0c5a164f590cc131b84bfb7d209d7b3e3a3185b78f05f6947