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Paper Citation Record · LEDGER

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents

As of 8 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:aac2dba5c68ba94aa22f64790019631de64d3062fc009534c42e4e591ec412e9

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=sha256:38c5790f0d67792b097e43c0845e519733aecd5fa671341aa864c96787840b46

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=sha256:2f83fde4491d3c1746ac9bbbb45c3fd8adf9c7bf4027d9d6d3eb11c85937a09c

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=sha256:6c586af6ff414da7bbe8fae1d4e56f7937273042fc74929f395360419a254ebb

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=sha256:6ce73bcf24431c4d130daf6e5c99fd466dfed368ae34ef24442299fcbbd64fd4

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:a5978b9d15a51370be3712f60ab3278ecce84021a98fb50b400e0cb52a89808c

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=sha256:6bcab92d85705f02ee6491bb3c9522a1123b24f49938f9117a5d0aa7711f98b4

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=sha256:44ea9d4d2d21572dd05e5a13ff69dd42d2f17a5406d50b581e2c5c857c8328f1

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:ef0c5e43dbbf0f0e6572ac52892b57dd9e3f278c84de1ecdd8be6ce0b80c72ae

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:b4625ccdcc16d430998c03087a656fbe727f4b21ffc0dc58c115a17ae68836f4

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=sha256:1394032531f9c128142260a71066ef2a8ec740b01c6320f337883e96debe73b8

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:ea3706f639ee9fe2b8f0b8b4c486f103c61f4eedffc19e6fa93513c4e825f08f

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:ef531d73041b5fca143f8cec3a3e61cff325bf69d50266f3c34d28d251c775a0

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:c882c11206fcca1e37933436e86bc4c460da0da4db444353260313d6bf2b7161

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=sha256:780dd23d8c9575072590dc3a6b8a823dc9f9c15560a617a172ee6ed65e688b15

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=sha256:316f419c9916afc28d48315a3a8232900215b06e6dbb5db4013704a083d35031

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:d92120938f6b95b8d0afa5810f88428bbe701805e3afb3f7ee94658f2287cd33

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

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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:a464f70ff6efb16fd6d1a4a30f0475ed00ff0af48f001ac85e455d836e6ea1bc

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:bcab6179cae3b3a07f742a2b58a550fcb49bcdae48daaa167ced0050f12dcbfa

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=sha256:9360684bbab64bc0ca572df92da60328483b837bf780cb6ad4fa8b36f6898077

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=sha256:694ee222a9d181e3f044cdeebb89023407a53068bb6f8a6b77fcb943702c1b42

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:e4d19fc9c8403efb70f8805da76886bc10f716dcff1f314446c8d23260a68253

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:ba2638e5a603e7be8eafe5ec6189c2debbf6f3676486cc6d765c8bc1266e0632

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:e069eccecfc7b90b6c5939b2e722859ef4b1e2f976736e1baa70256b732da96c

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=sha256:5d3b3bfe843b7ece40c521c33c40c426087bbfdc8ef6590d33a5755194a1aa3b

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=sha256:13257383ba14163a46b5dea1eff9baa86c85be2cfe505eb9fae91673aa3f280b

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:c22fa1d4f175f52ccf65cc5bd64cf6a4ae393b202d5658f84f75a649fc5110d2

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=sha256:82d5125b2c24f4f06d3ad43e2d8879046aa1c46960ffd543fd53ca333fa2f1f9

Pith citing papers

No inbound Pith citation observations are available.