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Paper Citation Record · LEDGER

The Necessity of a Unified Framework for LLM-Based Agent Evaluation

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2602.03238.

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

pith.paper-citation-record.v1
2602.03238 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:04:16.033411Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T00:54:15.317631Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T00:59:19.106605Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3922ce92-068b-4bcc-9018-0e722b0902d1 · outbound

This paper cites System card: Claude opus 4 claude sonnet 4, 2025.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation System card: Claude opus 4 claude sonnet 4, 2025

Reference 1

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source=arxiv_source observed=2026-08-03T05:04:11.553642Z digest=sha256:a300254c6071f99fb76c13bb73f2212828ea379e80e2e78fce614e335a7d742b

Observation 34c8e4c8-a9f3-490f-8b39-9d8e7013a46d · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 2

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source=arxiv_source observed=2026-08-03T05:04:11.649622Z digest=sha256:174ae69c0221c511324907e028571cbe77c1fe5305c5b346af6b3500363a19f1

Observation dc7ad3bf-a18f-44b2-b19e-7202f3182eed · outbound

This paper cites Evaluating Large Language Models Trained on Code.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Evaluating Large Language Models Trained on Code

Reference 3

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source=arxiv_source observed=2026-08-03T05:04:11.811130Z digest=sha256:9aa94886eee3c32eb8768c43a75db073df2385bff53de03982b87717d237ea17

Observation 9ef6e35f-f6ae-4223-ae9e-1861cbcfc6bf · outbound

This paper cites E motion Q ueen: A benchmark for evaluating empathy of large language models.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation E motion Q ueen: A benchmark for evaluating empathy of large language models

Reference 4

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source=arxiv_source observed=2026-08-03T05:04:11.977240Z digest=sha256:86709f98d270535304cfcf4caf9c6af9f96b46895ff76f8b66d4d54b1a388f1b

Observation 19ef4d3c-983e-4bd8-ad02-8857d00e57fc · outbound

This paper cites Browsecomp-plus: A more fair and transparent evaluation benchmark of deep-research agent.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Browsecomp-plus: A more fair and transparent evaluation benchmark of deep-research agent

Reference 5

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source=arxiv_source observed=2026-08-03T05:04:12.200208Z digest=sha256:2fcdc05a93bbfd9bf24bf474bf30b4f04f3174a086b32bbd0206f237c2e877b6

Observation c106b8ef-3b7d-41af-8ec0-27d7743c4635 · outbound

This paper cites Agentic Reinforced Policy Optimization.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Agentic Reinforced Policy Optimization

Reference 6

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source=arxiv_source observed=2026-08-03T05:04:12.365872Z digest=sha256:68fbdc4b60f4854d2b7fb32ea7de4fafd5d99ac5fa283d1b54eb8eb430c28de3

Observation 5e8f0007-a966-404c-b0e1-9558a67444bb · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 7

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source=arxiv_source observed=2026-08-03T05:04:12.559160Z digest=sha256:9159137189694251adbcdb02a6b3c175c7856395ad2f940eed7d1364412d05da

Observation 86e854b7-97a1-405a-96e8-d42892274f3e · outbound

This paper cites an unresolved cited work.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-03T05:04:12.660787Z digest=sha256:29a84344d58ec58c45bd8fd97661d138607ca1d5aed3a1a34b2f272ad72a5a00

Observation 98d2d223-b0c4-4aaa-a5fa-776d7f936a88 · outbound

This paper cites Function calling | gemini api | google ai for developers.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Function calling | gemini api | google ai for developers

Reference 9

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source=arxiv_source observed=2026-08-03T05:04:12.770744Z digest=sha256:00ffedc1b0af99b5dec913a0d8c3d8be2ee73245fa6b200c11bfa47b767766dd

Observation 5dfab1a4-ba26-4c23-a8f8-073f10c0d9f2 · outbound

This paper cites Measuring massive multitask language understanding.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Measuring massive multitask language understanding

Reference 10

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source=arxiv_source observed=2026-08-03T05:04:12.849791Z digest=sha256:82261cdf27ab2a02adf24635828988169b524fdb1df9459370b8f3c9b353bd0a

Observation 14a490a8-2ab8-4a36-8792-22154fff3d9b · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Measuring mathematical problem solving with the MATH dataset

Reference 11

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source=arxiv_source observed=2026-08-03T05:04:12.964046Z digest=sha256:444401feca74366240fb56078543aedde425669718d0857d1100dbac762a3437

Observation 4043b787-97d1-4fd2-9374-b707d4edf547 · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 12

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source=arxiv_source observed=2026-08-03T05:04:13.042270Z digest=sha256:a4caf05aae073cd50e8d663ba72b0ac8045cec579c5aa7e630e18666df20f5bc

Observation ba4de379-39ac-445a-8e94-ad915b42e0e0 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Understanding the planning of LLM agents: A survey

Reference 13

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source=arxiv_source observed=2026-08-03T05:04:13.121362Z digest=sha256:2188fd7a1d02a0be1b70f338dd7447ef389761ec3a395bd143da4eeaf916e926

Observation 130178d3-ac4b-41b2-a8b6-fe50ccc4ebcb · outbound

This paper cites H., Gonzalez, J.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation H., Gonzalez, J

Reference 14

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source=arxiv_source observed=2026-08-03T05:04:13.230224Z digest=sha256:cbd6c19cf548c913b8e05bca495b99dc3087aa9a022ac12c4030bf0696cf3259

Observation 89038156-7eae-4733-b7db-fc14f309a366 · outbound

This paper cites Langgraph: Build resilient language agents as graphs.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Langgraph: Build resilient language agents as graphs

Reference 15

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source=arxiv_source observed=2026-08-03T05:04:13.339020Z digest=sha256:4eea776f949d4364a4e8a7f82280a35072b28b59ec9e923b75418f7362ec3e9c

Observation 03da8a3d-7471-44b3-ba44-65137b9e1f09 · outbound

This paper cites The tool decathlon: Benchmarking language agents for diverse, realistic, and long-horizon task execution, 2025.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation The tool decathlon: Benchmarking language agents for diverse, realistic, and long-horizon task execution, 2025

Reference 16

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source=arxiv_source observed=2026-08-03T05:04:13.452404Z digest=sha256:8cb5c56ecdf24d410755e05ca62f5d64f04fed1ea0adabaf8475a280c4495150

Observation 66d9d27a-6277-442a-978f-13594772cd8e · outbound

This paper cites Agentbench: Evaluating LLM s as agents.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Agentbench: Evaluating LLM s as agents

Reference 17

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source=arxiv_source observed=2026-08-03T05:04:13.492949Z digest=sha256:8d8163aa3322a00cff3b27b262b1cac4b181c90e08e9281a594dc575cc13fc0f

Observation f158cfed-04e4-4902-9f6e-83a441a3b82f · outbound

This paper cites LangChain v0.3.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation LangChain v0.3

Reference 18

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source=arxiv_source observed=2026-08-03T05:04:13.571550Z digest=sha256:bc0ae239da41741e500a9a4769e0119ce194d82a8951ea53f8928df994e62a23

Observation 378cf889-ba57-475d-ac26-67db445109dd · outbound

This paper cites GAIA : a benchmark for general AI assistants.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation GAIA : a benchmark for general AI assistants

Reference 19

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source=arxiv_source observed=2026-08-03T05:04:13.728504Z digest=sha256:8ecec2267ef343d8bfac6ee1d58c333c808557887ca0cd0c14544ed4a32468c0

Observation 96f72ca1-9ef4-4b61-8561-f97bbc4c1db5 · outbound

This paper cites Azure OpenAI service content filtering.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Azure OpenAI service content filtering

Reference 20

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source=arxiv_source observed=2026-08-03T05:04:13.836265Z digest=sha256:f07405f6df8afd53cf31486a17c8037031da74acaf792c6ee69e5ef56bbaa15f

Observation db88210b-8749-4036-9c9c-4d316f149e1e · outbound

This paper cites A Survey on Large Language Model Benchmarks.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation A Survey on Large Language Model Benchmarks

Reference 21

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source=arxiv_source observed=2026-08-03T05:04:13.908579Z digest=sha256:ab886ebc1490e9e24b64292455542232f354d5e921d2d89a5a11979136038eff

Observation 4eef9df0-8edb-4402-9289-0b1344d2b6ad · outbound

This paper cites Function calling - openai api documentation.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Function calling - openai api documentation

Reference 22

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source=arxiv_source observed=2026-08-03T05:04:13.974461Z digest=sha256:98ff9caa3aebc9981b05af6004721c926d9649e0f1a84f6843a7ba181d189f53

Observation 42f1b1de-4e34-4903-beee-b2106e918c3f · outbound

This paper cites GPT-4o System Card.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation GPT-4o System Card

Reference 23

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source=arxiv_source observed=2026-08-03T05:04:14.057324Z digest=sha256:bdb201d16a1e2f3c60f295cbcd12e4cbd659902c17abfc158449da876aee2070

Observation 5d09e4dc-ee68-40a9-9ce6-ca110743ebb0 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation MemGPT: Towards LLMs as Operating Systems

Reference 24

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source=arxiv_source observed=2026-08-03T05:04:14.139977Z digest=sha256:863d1dd53f8afcc279ac2bc42e47466d8a2361e72aefd0e2968f105a43c128fe

Observation d2981640-1520-450f-bd77-70b243ffccdd · outbound

This paper cites S., O'Brien, J., Cai, C.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation S., O'Brien, J., Cai, C

Reference 25

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source=arxiv_source observed=2026-08-03T05:04:14.230687Z digest=sha256:6ac32f6a04abf041e7a280e3d502ac3d305320d896e36bf971ec8c064d4494b8

Observation 22a646c9-a7f2-4cc7-a22c-80c1c86d7ed6 · outbound

This paper cites G., Mao, H., Yan, F., Ji, C.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation G., Mao, H., Yan, F., Ji, C

Reference 26

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source=arxiv_source observed=2026-08-03T05:04:14.325530Z digest=sha256:4da294fad71d8027d54b47975c89e37771f471597ca070e393830fb763610e02

Observation 6778dd92-366c-4159-9a06-ef617fd1bb84 · outbound

This paper cites G., Mao, H., Yan, F., Ji, C.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation G., Mao, H., Yan, F., Ji, C

Reference 27

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source=arxiv_source observed=2026-08-03T05:04:14.419946Z digest=sha256:198315329b091fbcb60045e8eb4afb0a7acb9aced90d43a7d9bcb239a9f07c71

Observation 252b5d42-54a0-47b2-b8e0-738ab7ad5b26 · outbound

This paper cites L., Stickland, A.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation L., Stickland, A

Reference 28

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source=arxiv_source observed=2026-08-03T05:04:14.488605Z digest=sha256:8bc28d2642b4d04eabc1ae6c35abdd1e6ebc8dc43427d4c52e7cdb015c86e914

Observation 01e41707-d24a-45cb-9cbc-4e003ec2cb9b · outbound

This paper cites V., Wolf, T., von Werra, L., and Kaunismäki, E.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation V., Wolf, T., von Werra, L., and Kaunismäki, E

Reference 29

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source=arxiv_source observed=2026-08-03T05:04:14.588872Z digest=sha256:cfcdea19eb00349904e72420a142692d00aa7b410da10a044942770ebca13683

Observation 520e85b2-a3a8-4ea0-bace-bef0a15e27d3 · outbound

This paper cites an unresolved cited work.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-03T05:04:14.693687Z digest=sha256:a49bd8dcbcd18dedec9bfddcb17c153ba682cf175ee8b1a8f670ff204df4dd8c

Observation bb249512-9a9f-4bec-bf69-09ee06011c01 · outbound

This paper cites an unresolved cited work.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-03T05:04:14.791913Z digest=sha256:6dc7fd5ace34a9cf0957461f4123ab634566c4e08fbb172202d19721e7c93cf2

Observation 4ec55e08-3610-460a-8fa8-978bf76a9612 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 32

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source=arxiv_source observed=2026-08-03T05:04:14.889884Z digest=sha256:42633fc92061846ae9cea7f33911e1e0d4beacd6e108d0093f2f6f7761fd43f6

Observation 72944ad9-c834-43ba-80d4-89bbc66e5aae · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Gemini: A Family of Highly Capable Multimodal Models

Reference 33

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source=arxiv_source observed=2026-08-03T05:04:14.958910Z digest=sha256:43b78d19f215ac62569369d58c83bce7044cc6952a2b78f21c2ee8f437b97f4d

Observation 35708533-ccd4-4fce-83af-99656ff3ee5b · outbound

This paper cites K.-W., and Lim, E.-P.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation K.-W., and Lim, E.-P

Reference 34

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source=arxiv_source observed=2026-08-03T05:04:15.053674Z digest=sha256:addbbc2f38f093b081e226f60e8e90c46ecfa74ae697730ff5eaac31e421898d

Observation ea711ec0-09bc-444b-8cfd-600a0b411635 · outbound

This paper cites H., Le, Q.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation H., Le, Q

Reference 35

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source=arxiv_source observed=2026-08-03T05:04:15.158259Z digest=sha256:3a0f7bfcb9e4125c8830fcec7e17842363726400630c29f79d601f276db516ae

Observation 7f7c4e4c-2dc0-4641-9dc0-38283dc68d21 · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 36

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source=arxiv_source observed=2026-08-03T05:04:15.262351Z digest=sha256:3d785a252570fa1ff4890e00c7b3f528b3dc3d03f6f860c6cc038e00621ded5f

Observation 30420ef0-b37c-4c03-a73f-fc65250f0d99 · outbound

This paper cites Transformers: State-of-the-art natural language processing.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Transformers: State-of-the-art natural language processing

Reference 37

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source=arxiv_source observed=2026-08-03T05:04:15.329849Z digest=sha256:b0a10f8ef72567864883d6aadc01617ecf34230c7a07a1912e39483a9df59af8

Observation 63de209f-4ae3-458f-8d20-3d976c57c1ae · outbound

This paper cites The rise and potential of large language model based agents: a survey.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation The rise and potential of large language model based agents: a survey

Reference 38

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source=arxiv_source observed=2026-08-03T05:04:15.398443Z digest=sha256:6804ff19e3af45e0843e98424677f6697dc3c062f87afdf2b8b7c5933ee2cb24

Observation 22e99c27-6cce-4499-8e9d-28ad12a93701 · outbound

This paper cites an unresolved cited work.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Unresolved cited work

Reference 39

Resolution
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Unavailable: canonical work link unavailable.

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This paper cites R., and Cao, Y.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation R., and Cao, Y

Reference 40

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9762af1a-e321-4455-bd31-9ced99ef36fe · outbound

This paper cites an unresolved cited work.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation Unresolved cited work

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites A survey on trustworthy llm agents: Threats and countermeasures.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation A survey on trustworthy llm agents: Threats and countermeasures

Reference 42

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unresolved
no resolver link, observed 2026-08-03T05:04:15.737840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e932584d-6be4-476e-bf41-8e77a32c0b86 · outbound

This paper cites H., Cao, S., Kozyrakis, C., Stoica, I., Gonzalez, J.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation H., Cao, S., Kozyrakis, C., Stoica, I., Gonzalez, J

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites M ulti A gent B ench : Evaluating the collaboration and competition of LLM agents.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation M ulti A gent B ench : Evaluating the collaboration and competition of LLM agents

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites write newline.

The Necessity of a Unified Framework for LLM-Based Agent Evaluation write newline

Reference 45

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 7f1f5dd7-b149-4f7b-bd64-12608902d8d7 · inbound

A Unified Framework for the Evaluation of LLM Agentic Capabilities cites this paper.

A Unified Framework for the Evaluation of LLM Agentic Capabilities The Necessity of a Unified Framework for LLM-Based Agent Evaluation

Reference 6

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local_arxiv, observed 2026-06-29T13:23:28.331741Z

Source-reported events for the cited work

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Observation 1cbaf70d-ff79-4ad2-bf31-3afcb84d84e8 · inbound

A Unified Framework for the Evaluation of LLM Agentic Capabilities cites this paper.

A Unified Framework for the Evaluation of LLM Agentic Capabilities The Necessity of a Unified Framework for LLM-Based Agent Evaluation

Reference 6

Resolution
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local_arxiv, observed 2026-07-04T00:59:19.110971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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