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Paper Citation Record · LEDGER

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:7d9012cf2762f7603ceb8d5a5b47281372e41c034c70898ec3c8942e56e9a2d4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:13.617659Z digest=sha256:b41844250ad3e1b706fc23be97758ed523347a45c55493c7752f3f6672d77dae

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:13.694182Z digest=sha256:deaffb14596db704aad70779f8f1dc5876e6020abb5b23411e343f0f03fa324a

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=sha256:54c1470c8904b49316541a9a5ee754e011dfbf15e01fb5baf9ad1c1a495e4221

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:13.819650Z digest=sha256:3bdd1d2fff96f24aa53d8d7e98754b0da186d607026c4bb5f04ad8f71cf5406f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:13.897906Z digest=sha256:4c125640907f4d2e437c5ec5afe71a8306d49c076b9217a3c0f45e573765dc7d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:13.967434Z digest=sha256:e1ee61e82774bd8513015932a780041704344930059b0cb55de0f968f248b0e8

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=sha256:6e2a4885196dcfdc4c19a4de6862ae68a51b18ecf823b7478288b5ac1b6b0028

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=sha256:2f58a1cb28bf2b88c6cd11c49fba26541997572eeb5337eec488d3879b2aa072

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:ac0ff17593bde8f35f5e3a488cf174f4fa1ac544d8e71ce57e005fb4bdc44dd6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:14.233010Z digest=sha256:2d883e815d883ea6b87bcef15761ca5018dcd1dedfd7a814ae8f31d6b7350b3f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:14.289143Z digest=sha256:ee8440d888f9e919945ff39867079d7e8145414729ddd27987346e6632167dcf

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=sha256:2ee1c71dda9379e9e0dc868e95e8977a50b94c9dbeabf83e8afdae361bb0e7ea

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:af97cefdd91c09b72a061f99fb71d695f93c19b90e69368ad206de915e0004ed

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:14.467464Z digest=sha256:12543fa4b490eafd7629eb99f7082bea88ae197b480a755f236596dc49dc4d18

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=sha256:4cfbece8a0104731729782522ecd7a8785b3d2be3f546a274b2da47120d07d02

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:cd91b77dce44dc4fe8e1e484712a5540887f9d3d8b286bebd6c70fe35f17877e

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:beeefac446381007233f6c27ac5fa2cdb13a9f8e938823ea9688817f20b0bb04

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:14.747455Z digest=sha256:2a21012e2353ee727fd57a56b762dbddf47620cc84dd541c51a20fc85b8e4213

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:b3f47e6215cae9c0428cd868575180dc02072701a94f8f20744ca98c7d15f597

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:14.902068Z digest=sha256:5109a468a11bb1fa38295963324d174928e4caf7ce884c25247cceb75710daf1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:14.950594Z digest=sha256:97b9f8f21612f8a6112ac9352d499fc6a16cc656c021e0aa108919b2bbbb3a4e

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=sha256:37a49aecb3ebb32e75376a84e4a40e2f10923660a2aa528c40eb21c3a5c64cbe

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:cb10cce9d28958a1987da5b5b25aba7df8d9cc9bf5c686402a8318ea21347347

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:c3c8471eefb9c7bf81a966aaffce71aeb40af7121bc4c081f692b03fad546b2c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T05:20:15.073683Z digest=sha256:684f2569cd9d4dd8ef5e7120209f2f9328a014cc94163a54a8f3c48d00547f32

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:d4de4d4d949c10e875ee247ebc6ab89b8f1c699f4c6f974ba26b8455992a19c5

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=sha256:36aad616c777adfb67e352f7bbc43d48b8d9107bcc9ebb12db1a817045c97c93

Pith citing papers

No inbound Pith citation observations are available.