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Paper Citation Record · LEDGER

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.06329.

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

pith.paper-citation-record.v1
2608.06329 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:15.085691Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e8c73ef-a157-47f0-be59-8223d60498e9 · outbound

This paper cites 2024 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2024 , eprint=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:13.564295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:13.564295Z digest=sha256:6471ff4406d7d5f393fd4d3cdf686c8b2b41324c6e1695372ec66ad934982aa0

Observation 4321654b-8ad3-42f8-95c0-f28b5362a22f · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.827288Z

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=arxiv_source observed=2026-08-07T05:20:13.617659Z digest=sha256:aa68d64a469b6adeae29cbbb72c2e12ff7da7ffc4d5a281e2ef2d4eb89bd2a95

Observation 8040c8a6-c499-417a-8c05-6840c8e3878e · outbound

This paper cites Biometrika , volume =.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Biometrika , volume =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.809376Z

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=arxiv_source observed=2026-08-07T05:20:13.694182Z digest=sha256:81dbc5d33b2a2e3adbcec5d1b67f1a19c509e79362d6dec3edab5d3a34798e95

Observation 33a569df-e775-487f-bb0a-c97a2bdc4d03 · outbound

This paper cites 2025 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2025 , eprint=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:13.736829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:13.736829Z digest=sha256:0c6bd6118618f62ffdde526f66362e6e600b0f1487bfbaf05ce5c45ba768d694

Observation e04b2ca1-7090-40a4-a415-791ff2786571 · outbound

This paper cites 2025 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2025 , eprint=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.777958Z

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=arxiv_source observed=2026-08-07T05:20:13.819650Z digest=sha256:d350db010fd8c3844313d7d51e2f7660eb4b4b8e1fccd60adc270db719b8c639

Observation cb609a9d-396d-4b08-853a-658f33a21848 · outbound

This paper cites an unresolved cited work.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:15.753484Z

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=arxiv_source observed=2026-08-07T05:20:13.897906Z digest=sha256:f0b0b8c8251d82aceeb269e04059710f39df7aad4dc1c1827e4f601347206dc3

Observation f0579000-f432-48ad-905b-a26e96170a52 · outbound

This paper cites 2024 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2024 , eprint=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.729328Z

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=arxiv_source observed=2026-08-07T05:20:13.967434Z digest=sha256:56b4a5c23ea7db4d1938188984b1aa7a4cd1832ef135b242578acf74568a0bb3

Observation 923874bb-2a78-4d38-b47c-ee4ca853ffa1 · outbound

This paper cites M ulti WOZ - A Large-Scale Multi-Domain W izard-of- O z Dataset for Task-Oriented Dialogue Modelling.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents M ulti WOZ - A Large-Scale Multi-Domain W izard-of- O z Dataset for Task-Oriented Dialogue Modelling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.026399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.026399Z digest=sha256:885cdd75edef7cddb4a72ef8ccd91a73f2364beb8300ec73ca9a4cb04e0ccb5f

Observation 3a990bcc-b74d-43c0-abf1-1d4e00836877 · outbound

This paper cites Towards Enforcing Company Policy Adherence in Agentic Workflows.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Towards Enforcing Company Policy Adherence in Agentic Workflows

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.089691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.089691Z digest=sha256:a242c76f76ae1ff5606982f7c53b86543dce0f7144e410d48d43a19916bfc3dd

Observation ec4e96bf-2dd3-4f30-8b55-83a75ea8116a · outbound

This paper cites 2025 , isbn =.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2025 , isbn =

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.151335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.151335Z digest=sha256:b3442c808791b85329bfa9f44e6336edbbad2ddbee4db99a6e5d73d7ae447284

Observation 07bee70b-4dee-4424-a1eb-4815677def87 · outbound

This paper cites 2026 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2026 , eprint=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.709399Z

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=arxiv_source observed=2026-08-07T05:20:14.233010Z digest=sha256:cafb632c617e6db1b58b351c70080f40a35803f088f585e4f51f69272de32dd5

Observation 5aed78d5-ae0e-4233-8735-edbc776c98e4 · outbound

This paper cites 2024 , howpublished=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2024 , howpublished=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.682363Z

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=arxiv_source observed=2026-08-07T05:20:14.289143Z digest=sha256:d3ee0d00aadcd4388fef179535489f69acb3c98d5d3a9966b0a0d7cc644f7e9b

Observation a73f6982-9722-48bd-9a5c-5a2056b43704 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Advances in Neural Information Processing Systems , volume=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.353384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.353384Z digest=sha256:d2a3da97caabe636688a0c00de006e137f2e260fefc77f444b27210ced44d914

Observation 9d011802-59c6-41d8-8f56-d1b6d9833a72 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Advances in Neural Information Processing Systems , volume=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.410620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.410620Z digest=sha256:feda3a6cc6a2d594fa4a50627098b4da1de57df7456ecb2bec791d583a03decb

Observation 42d4dd64-0b58-4ab4-9b0c-87ddca914997 · outbound

This paper cites ArXiv , year=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents ArXiv , year=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.608631Z

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=arxiv_source observed=2026-08-07T05:20:14.467464Z digest=sha256:87a2657e47f5842ecc5eefbca6eefee0b1f8c35ef96b88a4a4fe87a67c64e477

Observation 65f94613-f33d-4790-b46e-859ed12cbb77 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.525116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.525116Z digest=sha256:49f21d63d4862c3b84ee044a9829035d989e42e146d6e5acaf2c7b41def20014

Observation 569c2335-0adc-4805-8838-fe1c4ae066e8 · outbound

This paper cites A pp W orld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents A pp W orld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.590129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.590129Z digest=sha256:3947b3cef9f29aee5d771719bf4f38ade8ef6d0995aa517baf32c32aa5c5933f

Observation e8662d9f-a520-4e7d-a1b0-f9b044b80802 · outbound

This paper cites SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.667222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.667222Z digest=sha256:d1888adee8ec17e567a71288fdc210c2eca6a2a116e3726c8007a1492f8e4f70

Observation 8b8a38a0-df2f-48e9-ab09-ec4151a41e89 · outbound

This paper cites 2024 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2024 , eprint=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.585487Z

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=arxiv_source observed=2026-08-07T05:20:14.747455Z digest=sha256:9e885c15eac50ea1695cc9557f77718722a5b79b9723eba1334241efdef17f77

Observation 33013a20-0739-4f9d-a0da-e56a09d54e18 · outbound

This paper cites and Zhang, Hao and Gonzalez, Joseph E.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents and Zhang, Hao and Gonzalez, Joseph E

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:14.813652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:14.813652Z digest=sha256:bfc3e6351a90fea41698a9c1477e13b70335879c53df34cbd0f7f2384573f3fd

Observation a668dfd3-b58e-4b32-98a8-f179a111838f · outbound

This paper cites an unresolved cited work.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:15.548321Z

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=arxiv_source observed=2026-08-07T05:20:14.902068Z digest=sha256:d987825b1e943aad34cbbc2893558c63818a481c34670a3decf14f73cabfcf26

Observation fd45945e-cf58-48d6-b002-9f6436f95937 · outbound

This paper cites 2025 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2025 , eprint=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.529234Z

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=arxiv_source observed=2026-08-07T05:20:14.950594Z digest=sha256:79b533a4efc11e90af8a444b7f9072e39ee22ce4d0a2c24e38db12fd76a4771f

Observation 3805642d-3eed-4869-a7c6-8420e0da7aea · outbound

This paper cites Proceedings of the 2023 conference on empirical methods in natural language processing , pages=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:15.028255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:15.028255Z digest=sha256:52e08767ab99024bd7d639fe29105690ff589d8ac0a1bf943785b18495d02be6

Observation ec17f9f3-bc3a-4b86-ada7-1936ac1ac5e9 · outbound

This paper cites an unresolved cited work.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:15.062796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:15.062796Z digest=sha256:9d226083e1a3a8233f11ebd553c4636c9a15362c5d0ecdda9e2804c821a7b2e6

Observation 990bf10c-8a45-4186-a9b0-db48f839a5bc · outbound

This paper cites The Llama 3 Herd of Models.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents The Llama 3 Herd of Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:15.067564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:15.067564Z digest=sha256:8ad0f7269bdce01af960ef1ffaf3b6ef503d0e0a2f3e111a18ecb67ea55b7c57

Observation aea02b38-81f3-4306-9d2c-e7f5699180e3 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:15.468783Z

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=arxiv_source observed=2026-08-07T05:20:15.073683Z digest=sha256:d5241c06305e3829997a39407255a0ab788d0b0763e995f6e200af869d7ac5fe

Observation 931892eb-34c1-4a52-a619-51171f68ccb5 · outbound

This paper cites 2023 , eprint=.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents 2023 , eprint=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:15.079297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:15.079297Z digest=sha256:ee54ccf66e6a3a105e33714a023cc6613b1c630553da1bc73ef2d401eaaf524c

Observation 5df0d76d-c106-4fb2-b600-e5bf2446b874 · outbound

This paper cites Aligning Large Language Models through Synthetic Feedback.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents Aligning Large Language Models through Synthetic Feedback

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:15.085691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:15.085691Z digest=sha256:197487cb0f871b6dd98e443b1468bb2df03f83e57dc32db796fa441d45f80297

Pith citing papers

No inbound Pith citation observations are available.