Paper Citation Record · LEDGER

Automated Benchmark Auditing for AI Agents and Large Language Models

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2605.26079.

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

pith.paper-citation-record.v1
2605.26079 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:40:30.408782Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:24:59.673010Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a616ed0e-3d9d-4ff7-b6d7-487a95b25a64 · outbound

This paper cites an unresolved cited work.

Automated Benchmark Auditing for AI Agents and Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8944150-d657-4104-8334-73c68e943637 · outbound

This paper cites task" or.

Automated Benchmark Auditing for AI Agents and Large Language Models task" or

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acccf5eb-7c43-4d86-a337-7692cf14b141 · outbound

This paper cites an unresolved cited work.

Automated Benchmark Auditing for AI Agents and Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b205c996-6a48-4e6e-ae68-5bc551b6af2b · outbound

This paper cites unscored.

Automated Benchmark Auditing for AI Agents and Large Language Models unscored

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3865b20d-d8ee-496a-89ef-4a8dcdd17da5 · outbound

This paper cites It defines what counts as a finding, how to distinguish agent error from genuine task issues, and the severity scale.

Automated Benchmark Auditing for AI Agents and Large Language Models It defines what counts as a finding, how to distinguish agent error from genuine task issues, and the severity scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4a49c5-5c35-4b77-99fd-29f8c583aa75 · outbound

This paper cites Open and read every path provided.

Automated Benchmark Auditing for AI Agents and Large Language Models Open and read every path provided

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c40901-569a-45fd-a918-439dd2ce7fe2 · outbound

This paper cites task_id":.

Automated Benchmark Auditing for AI Agents and Large Language Models task_id":

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1675d99e-8656-4c00-903e-3eda34febd57 · outbound

This paper cites It defines what counts as a finding, the severity scale, and the distinction between benchmark issues and expected difficulty.

Automated Benchmark Auditing for AI Agents and Large Language Models It defines what counts as a finding, the severity scale, and the distinction between benchmark issues and expected difficulty

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6491be7-ac7a-4972-a271-af0cbdacdf01 · outbound

This paper cites an unresolved cited work.

Automated Benchmark Auditing for AI Agents and Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b35d33-d0dd-4bb7-9f7b-fc390e9e8a8e · outbound

This paper cites an unresolved cited work.

Automated Benchmark Auditing for AI Agents and Large Language Models Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377efa25-9e50-4507-a2f2-75a080fe562c · outbound

This paper cites task_id":.

Automated Benchmark Auditing for AI Agents and Large Language Models task_id":

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e399d1f3-5d31-4c6e-9e19-b0aedfef05c0 · outbound

This paper cites source-file only.

Automated Benchmark Auditing for AI Agents and Large Language Models source-file only

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T21:40:30.408782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c5a6f6b5-3bd7-4527-8feb-e3baa75a3d7e · inbound

Automated Transcript Analysis for Detecting Flaws in Agentic Benchmarks cites this paper.

Automated Transcript Analysis for Detecting Flaws in Agentic Benchmarks Automated Benchmark Auditing for AI Agents and Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T06:24:59.673010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.