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Paper Citation Record · LEDGER

Evaluating the Performance of Large Language Models via Debates

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:34:00.073227Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:41c80932bda609bdee3701fec3ab30da56baab79ed7aba86279ac8ec2ced3790

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:4bacb0a69e0472cf72f4c7698d5e810f68eb98d2fe87b4bba90f5d031ea9d70e

Observation b945e715-2bc8-4460-bcaa-b799810c3a82 · inbound

LLM-based Human Simulations Have Not Yet Been Reliable cites this paper.

LLM-based Human Simulations Have Not Yet Been Reliable Evaluating the Performance of Large Language Models via Debates

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:39.437473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:39.437473Z digest=sha256:defabaeab07573500e5812965e20d7647ae25f49db191f563aff54b7ddd7fca0

Observation 5d338e07-2382-4d6e-895e-b3229c4c8e43 · inbound

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs cites this paper.

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs Evaluating the Performance of Large Language Models via Debates

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T18:52:06.085036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:52:06.085036Z digest=sha256:b82dcbb597d1ee5a65f741e78400e14b008db9f9403e7b4ead58360966cd56f2

Observation 78246a18-2786-45dd-9476-49eb94c52a75 · inbound

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer cites this paper.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Evaluating the Performance of Large Language Models via Debates

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T12:34:00.073227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:34:00.073227Z digest=sha256:a277e2395c6ad8523f6af450a7132daa081dc931ac01830b78f8728ddf413d44

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=sha256:1de2eaa296622ad85d866be83be022d39be015034362b1c40bfef72b65e82a5b