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Paper Citation Record · LEDGER

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2310.03128.

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

pith.paper-citation-record.v1
2310.03128 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 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 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:45.870083Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:59.715072Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bfdcb510-4117-4c31-bdb4-3897e0a75dd1 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.521093Z

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.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:076c4b6caae2363e36a4f872e1dbe986fb0b93d56d5df2bdf2714c19b2898993

Observation 15ec5b6d-4d56-46f8-a061-989c9f6bc2bc · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:43:11.181459Z

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.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:216711c1f1b6d6e7cc2b88574786bd26b63575ce25606e15b20a8cefe923ac20

Observation 55495220-d2ad-4deb-8d59-2736b19284fe · inbound

$\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains cites this paper.

$\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:19:00.864649Z

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.

source=pdf_text observed=2026-05-11T03:19:00.831153Z digest=sha256:50d1247519f46ab5d01eef7fc3bf94efcae2a2facb9f2cdce38f52893a5083a6

Observation c18c7bb9-1a8c-4176-9085-053352f1ff88 · inbound

Prompt Injection Attack to Tool Selection in LLM Agents cites this paper.

Prompt Injection Attack to Tool Selection in LLM Agents MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:08:28.977781Z

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.

source=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:6b685beee63a6fc77ebf69b8be8f091115a10f39cc583fa81f363674ebb49f85

Observation 9e16af64-e263-45dc-b0d4-27ecf863a911 · inbound

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

$\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:52:17.470715Z

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.

source=pdf_text observed=2026-05-12T07:52:17.174347Z digest=sha256:14c93bf65beb9ae745bf340817132ae1b010fce11c116f3eb066250261cce1ee

Observation b59b1997-5a74-45d7-8a59-a4d8437cf4cc · inbound

The Curious Language Model: Strategic Test-Time Information Acquisition cites this paper.

The Curious Language Model: Strategic Test-Time Information Acquisition MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:45.870083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:45.870083Z digest=sha256:0687f08b619d77501e2e40f31e7ee3520e228645ecc3e281ec5275b6052c63dc

Observation 20756517-6596-4bec-9837-d139ff5bdd0b · inbound

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues cites this paper.

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:02:38.861022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:02:38.861022Z digest=sha256:5eeb6222e897e85fdd2b5b972078dfdb884766a92abfc20e112e902341e9d375

Observation 6ac1df20-9361-4c43-82c9-f4898d7e2d0e · inbound

Teaching a Language Model to Speak the Language of Tools cites this paper.

Teaching a Language Model to Speak the Language of Tools MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:48:47.549550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:48:47.549550Z digest=sha256:44b46fc7379428bff729c2e611cb46addc24b6254376588cfa81530eac67fe26

Observation 337c765f-ae53-452a-8937-39caf61300d2 · inbound

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models cites this paper.

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:43.754386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:22:43.754386Z digest=sha256:3a77fdc750b23b9ffc08cfcf446f136e7bf70999ddd56f4637f0b203d7033842

Observation 0b1ca4a9-c1c7-4390-8c31-1e095790d3e2 · inbound

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems cites this paper.

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:39:57.024887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:39:57.024887Z digest=sha256:edb8837f6bf588b87d62097a16dab7f9a0c8021168796eafb47a324fe8754571

Observation 22550fcd-f160-4d2f-bbd9-269ad5bc33d1 · inbound

Towards Compute-Optimal Many-Shot In-Context Learning cites this paper.

Towards Compute-Optimal Many-Shot In-Context Learning MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 2001

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:38.656905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:38.656905Z digest=sha256:a921de837dc46248f2f81dbba15f7195ec7c4cea5826d280fff674c910385e69

Observation 51babeb4-227a-4516-95b0-2f094cd24194 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.463887Z

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.

source=pdf_text observed=2026-05-22T00:37:11.945418Z digest=sha256:8bec7c93786400783baaff67402b30b9106a43592fc6d32e52a392e4d53833e9

Observation 1576480d-e593-4139-8f1a-353f60d92f52 · inbound

Evaluation and Benchmarking of LLM Agents: A Survey cites this paper.

Evaluation and Benchmarking of LLM Agents: A Survey MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T12:44:21.609937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:44:21.609937Z digest=sha256:9d9ae8d170b184a71cf07e9170a53327981385d7331bf89c635097f5325f7d35

Observation 67a0b2f9-4580-4f30-9e34-68085d9089bd · inbound

UserBench: An Interactive Gym Environment for User-Centric Agents cites this paper.

UserBench: An Interactive Gym Environment for User-Centric Agents MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.335428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.335428Z digest=sha256:b1ed45b541a8534561204f2d81c426523c4ea952c78ff72f2fb24b95af54f86e

Observation 915671c3-e5cc-4ec2-9679-5d17a1a45d50 · inbound

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever cites this paper.

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T18:46:16.475327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:46:16.475327Z digest=sha256:488d195b885c92da59110456f53809eb5ddebf77fe01b123a2df0288d78616db

Observation a03ba34e-3ea1-4c44-a50e-849e2df3cda7 · inbound

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents cites this paper.

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:06:17.792208Z

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.

source=pdf_text observed=2026-05-18T11:02:55.529271Z digest=sha256:bde7ec48156bae532fcc7f1de5d18e97eb5ee7f69e497db4ffc79ed68785aab5

Observation 0e9d9af4-cf15-48a8-824e-b99be0ce07c2 · inbound

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents cites this paper.

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T12:44:12.592641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:44:12.592641Z digest=sha256:44bd448fb31c259c93f753bc2320917499041eaff01e43029e9b4ef94387ab21

Observation 523d99e1-82e0-4b96-84b8-3501b8c110a9 · inbound

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception cites this paper.

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.539483Z

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.

source=pdf_text observed=2026-05-18T03:46:03.228969Z digest=sha256:3b188506dca28b115343d5a3eced5df48aaa6bc2e9429bb112842564e7f44f57

Observation 0700dca1-1a6d-46f8-8cd4-7a0dabd4525f · inbound

Memory in the Age of AI Agents cites this paper.

Memory in the Age of AI Agents MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 261

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:18:20.250588Z

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.

source=arxiv_source observed=2026-05-11T18:18:19.911342Z digest=sha256:f3b69ccf2bcd447c0f58c192a02ee656c04df28b94ecd718be3bb28c1dac222e

Observation ad97d443-4774-437f-b967-c37f48d6ce05 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:36.280577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:36.280577Z digest=sha256:418e192e48e6934d57f49d93637f4aeb3f872dd64d30457907b4da1539853032

Observation 59ec2ede-71a8-4033-86a9-01bfcebf3c9f · inbound

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls cites this paper.

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T21:46:33.268448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:46:33.268448Z digest=sha256:f9eb093ae0f97ef704edea15d8defe652840a5c2ecf0d3a02414a287fdaff8e7

Observation 4b853e52-1d2d-404e-83a7-6d6775680c58 · inbound

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents cites this paper.

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T19:59:59.030585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T19:59:59.030585Z digest=sha256:8198bfe5ef4afd1f2b18bcbc7958c534a34c67312bde0121d931b3b7554f188d

Observation 4f2bdf27-338b-487a-8c00-d32a047c8fd4 · inbound

To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling cites this paper.

To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:36:10.333342Z

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.

source=arxiv_source observed=2026-05-09T19:32:57.054584Z digest=sha256:963ddf09f7493efc2b1f942d04f229a99becb5110f856c178bed51b179b4e474

Observation 4a5476e6-df85-4c89-9155-3d38d16c87f8 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:05:33.837524Z

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.

source=arxiv_source observed=2026-05-08T19:04:53.639217Z digest=sha256:7e44e6c168f3e07ada67fd9f6b3b42937f9874970bb368859c84a3199ab5da67

Observation d00cbb03-51f7-491b-9c00-d4a541116888 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 15

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verified exact
arxiv_id, observed 2026-07-01T00:45:12.424114Z

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.

source=arxiv_source observed=2026-07-01T00:25:46.507401Z digest=sha256:d1f5f99944b0eca517f4657a74847971ce7be26027e9abab808621ea6807d5a0

Observation f87b296a-6676-48f1-9d59-9f30edbfe7a2 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T05:24:44.710671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T05:24:44.710671Z digest=sha256:95c19ec65592eaf5575a45f2070c7ca4a4bd5cc844b2bdcf01c35e41d4dd08d8

Observation 7709fb7c-2ad0-4ef3-886e-0853e6383a01 · inbound

Hybrid Inspection and Task-Based Access Control in Zero-Trust Agentic AI cites this paper.

Hybrid Inspection and Task-Based Access Control in Zero-Trust Agentic AI MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:37.672983Z

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.

source=pdf_text observed=2026-05-08T19:06:36.952203Z digest=sha256:22dea1ae43631b0abe1f852aa297ef340346a177f905db267a6cd003bac032a4

Observation 684b6e09-e7cb-4db7-9017-2bb70f976afd · inbound

From Intent to Execution: Composing Agentic Workflows with Agent Recommendation cites this paper.

From Intent to Execution: Composing Agentic Workflows with Agent Recommendation MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:46:42.967662Z

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.

source=pdf_text observed=2026-05-07T16:19:39.392516Z digest=sha256:907c624ea3a02082b9def39345a6c8f10aad5eb1f00776f0b3295ec9d381976a

Observation a86b0777-73cc-4fea-906b-4dfb1a7f260f · inbound

Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning cites this paper.

Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:51.785672Z

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.

source=pdf_text observed=2026-05-11T01:29:47.384341Z digest=sha256:5e43b4bb08ef1ad85f9810b55dcc7c9012d0810c843983991e9a5eda5b68fa19

Observation b053461d-5763-4d1d-8f70-7b549a050ee9 · inbound

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:35:04.476298Z

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.

source=pdf_text observed=2026-05-15T05:31:54.252816Z digest=sha256:12cca4f764f039c53730714e8d35b5dbca8a9ffcb0d580f5c8e9a1af9ab82113

Observation 3e545d30-a3b9-44e7-b915-75cc50001943 · inbound

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:53:43.552641Z

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.

source=pdf_text observed=2026-05-20T20:52:20.975459Z digest=sha256:03e866c00702b4577b4538c3079874556ada70074e956307034749184cfc87fc

Observation d473db4c-3e82-4cd3-9767-bcb8063c5b44 · inbound

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 164

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T03:08:57.998107Z

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.

source=arxiv_source observed=2026-05-15T03:07:38.232966Z digest=sha256:ac68aeb44ca5b187dff4d9105db21a34768d684e0622ff2ab692cc6a2b1e9948

Observation 749d96c9-e863-41ee-9a88-6548c8b301dd · inbound

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 165

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T16:52:39.943407Z

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.

source=arxiv_source observed=2026-05-19T16:51:13.491389Z digest=sha256:2f9adf61f15799fba7e0668de6824d34499832c42a9bf86173ff984815238277

Observation b36e908b-d4c6-4335-a441-73f48c1b2f6c · inbound

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles cites this paper.

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:51:15.401757Z

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.

source=pdf_text observed=2026-05-22T07:51:13.362986Z digest=sha256:4b4c3f7056bd57526fcaa84b2c6a90c8f429a39b51da5c08a765625cd4ebcd09

Observation b7301589-2913-4ce2-9e68-39c437d74e07 · inbound

MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning cites this paper.

MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:35:50.732455Z

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.

source=pdf_text observed=2026-06-30T00:25:59.532059Z digest=sha256:3af6775a1c2b405ef5bdd89e743fdf32e7abc6c18124b73f37cd5263f55fae68

Observation df94b234-2959-4db7-a73e-2469787000e9 · inbound

Capability Self-Assessment: Teaching LLMs to Know Their Limits cites this paper.

Capability Self-Assessment: Teaching LLMs to Know Their Limits MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:32:44.643921Z

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.

source=pdf_text observed=2026-06-28T22:25:50.579196Z digest=sha256:e375c68863f16af867afd00d1fc472a4f92c82206f4929d8566f8485ad03de92

Observation 0cbf862b-fdcf-46a9-adff-cdc6cc2f28a2 · inbound

NTILC: Neural Tool Invocation via Learned Compression cites this paper.

NTILC: Neural Tool Invocation via Learned Compression MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:07:04.773446Z

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.

source=pdf_text observed=2026-06-28T00:05:36.600389Z digest=sha256:4a058a8f0e2b7e58af705c11f0843020dee970e7e9558e5bda584da5c8e73f8a

Observation 7f6a9ba2-b68d-4f41-8fe9-02eb8f016c6e · inbound

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment cites this paper.

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:59.155289Z

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.

source=pdf_text observed=2026-06-28T01:34:23.382705Z digest=sha256:663694fbbc0373f45c660dd77dc54dcefebb62e12393c2badf3b72729ff18b71

Observation c152ec48-6f8b-4634-82ed-6532c4cc7091 · inbound

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment cites this paper.

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T14:59:04.152474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T14:59:04.152474Z digest=sha256:bb6bcf69888e93c93821763035abf455b059d868a60a82a0afdd3e2487e3bbbf

Observation b490de2a-c3a7-4ef9-8b45-7932e70decb2 · inbound

Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose cites this paper.

Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:18:59.716659Z

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.

source=arxiv_source observed=2026-06-27T00:37:50.570757Z digest=sha256:b06ba688a99e02df7ed1171e8b66dbbae71e4869d8154972acec4dd6785ce165

Observation cf78261e-76a9-4938-8b66-59b2e68a263f · inbound

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing cites this paper.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T01:35:09.657698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:35:09.657698Z digest=sha256:d0785b3b03e79ca58c4b55fbdb310e5a84bf3865a79014c715e35fdd7bc05769

Observation f5bd2c1c-a64a-4a8f-bc81-35180af2a342 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 156

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:29.777251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:29.777251Z digest=sha256:c6368efcbcd92e973bcfb0694d13a2fb0c5e65d7811c74c9bb27418dc21bad96