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Paper Citation Record · LEDGER

Evaluating the Performance of Large Language Models via Debates

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.11044.

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

pith.paper-citation-record.v1
2406.11044 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:44:09.381842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:35:43.963141Z

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 d7b7f57a-d576-432d-833c-6f084ab4d494 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge Evaluating the Performance of Large Language Models via Debates

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:35:43.966005Z

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.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:9604baf9c390d0d472490c7729a6246451ed6050de2f12f0d3e540e95f07d889

Observation 4920742b-8605-4fce-b84a-a72a01b7563d · 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 Evaluating the Performance of Large Language Models via Debates

Reference 163

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:37.429892Z

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.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:0141c136be578d971d9cdd6afcb68ef8d151bc98071de34740511d3617c0e0b3

Observation e966dac2-cd50-4d15-baaa-94f3454d0b18 · inbound

Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks cites this paper.

Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks Evaluating the Performance of Large Language Models via Debates

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:09.381842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:44:09.381842Z digest=sha256:ca71cb96ff4d8eb0554f392c62f460d3546df2b9a87b2e4998c8c80f1ba1d4e8