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Paper Citation Record · LEDGER

Evaluating Large Language Models as Expert Annotators

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.07827.

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

pith.paper-citation-record.v1
2508.07827 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:36:22.389047Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:43:59.674035Z

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 c8a8e6be-c643-4a74-8401-59d26806e229 · inbound

Agentic-imodels: Evolving agentic interpretability tools via autoresearch cites this paper.

Agentic-imodels: Evolving agentic interpretability tools via autoresearch Evaluating Large Language Models as Expert Annotators

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:36.282145Z

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.

source=pdf_text observed=2026-05-07T16:37:43.371592Z digest=sha256:585b4eeb73ff7dcc3ad0b21cf157e0575529706fe86d7f86beb27a485376e0c0

Observation 7de7f1b9-5adf-4e10-b065-2fa6ed303ab6 · inbound

Double Triangle Annotation: A Scalable Human-in-the-Loop Framework for High-Precision Historical Document Annotation cites this paper.

Double Triangle Annotation: A Scalable Human-in-the-Loop Framework for High-Precision Historical Document Annotation Evaluating Large Language Models as Expert Annotators

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:43:59.676021Z

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.

source=pdf_text observed=2026-06-29T21:36:22.389047Z digest=sha256:89f8105741aef5d0bf74187ebdd512c2c0a9666aa59677070231b65e2561ccd8