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Paper Citation Record · LEDGER

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2401.06201.

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

pith.paper-citation-record.v1
2401.06201 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:21.090064Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1952bb70-6a4a-416c-b542-a18bc9d32576 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.392934Z

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=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:5b1028b4f640af5d03cf9e6dcde1d37dab4df20c7d28869dccfc20a8287a496d

Observation 317fad2d-cf2b-4625-a25e-d06f980b7b47 · inbound

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

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-13T09:02:40.367761Z

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=pdf_text observed=2026-05-13T09:02:40.294491Z digest=sha256:077c3563132b3f58488f0b9b7ee2b957d060018ef7ad4a5ceea1ccf4a60032e0

Observation b5a68948-1ab2-4545-8ea1-2020724ecb76 · inbound

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

Prompt Injection Attack to Tool Selection in LLM Agents EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:08:29.024178Z

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=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:e38a784ce0c442db8a0f35dd2c684b3d5ff63f4a3da3e25f07c34d8e4f05d321

Observation e9f68267-02ed-43b9-b69c-8527e21d69ae · inbound

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering cites this paper.

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:52.820435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:52.820435Z digest=sha256:517ec938d788d16a5070bfc8ab043d8f0f6ea086cd883f051bf429842b2339a5

Observation f19a0ba4-1cee-4e09-b7f4-adc0898306ea · inbound

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs cites this paper.

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:21.090064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:21.090064Z digest=sha256:15b13c0b70410fec2058d80a3783dc1fdbc9109709cbd0f1ec431b05bfde3cd8

Observation c6049b07-f49e-4e96-9aed-d247befb0e8b · inbound

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios cites this paper.

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T04:44:05.615100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:44:05.615100Z digest=sha256:843aac72a2b98389cfabfa430b1cc7fa2ced1cd75c58f2147a22058490e2c3a6

Observation 0602e49b-c94f-4c1a-94d6-d08e0e0e08b2 · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.823851Z

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=pdf_text observed=2026-05-19T08:12:10.542542Z digest=sha256:393f2ff24a080890757a1a571da53fc3e957bf1b2e9d26692979f687ae245da4

Observation 63db8759-84f4-46bc-8aec-56dc3adfe769 · inbound

Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training cites this paper.

Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T08:27:11.309660Z

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=pdf_text observed=2026-05-19T08:26:12.441869Z digest=sha256:6247a10f45345852e90d2ae8f8ad05da053b3a8abcc4846291ad710e50fa4cc2

Observation dbf936b8-3f26-41f6-a58a-9832c2d87a9b · 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 EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:43.861474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:22:43.861474Z digest=sha256:53c9dddc53a4f1231237db474f5552e4668cda04d7d9cee01e2c727de197fb26

Observation 4388e16c-9cd4-4ad5-bcbd-b7cff5fb6952 · inbound

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications cites this paper.

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-05T17:26:29.072432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:26:29.072432Z digest=sha256:91b6afa20d6fdd7bdf3a610392000b63f0a30c427a43e1d0f1b327350dbab284

Observation ac37dccf-e0f0-4673-b8ad-6a72384dad32 · 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 EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:06:17.762952Z

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=pdf_text observed=2026-05-18T11:02:55.529271Z digest=sha256:e2005c455ab2a150b75a18e3525765d2d74e8ed2a0afd82c98717fbf64f9c16c

Observation e70ca2d3-a88e-468d-94e2-bcc10f4c57bc · 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 EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T12:44:13.021147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:44:13.021147Z digest=sha256:0346626e7efe5501484df5445e58515a523bf0450717333b3d903421f1759c98

Observation 75527f81-9455-4011-8bc3-626b8ae4806e · inbound

Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory cites this paper.

Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T18:03:39.109210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:03:39.109210Z digest=sha256:218c9952a53db9cf11dc74037df34d34e70a5c8d75e674942f762146a5b3d414

Observation cf55cb18-8314-45db-a8db-263c680950d0 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 216

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:26.251778Z

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=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:e4f6b9d4ae3c68d44063fcba9fff9dc8ad814dc11bc93d0cf59c556476593f78

Observation 4a74d03b-1011-479c-a6ff-b8084f5bed72 · inbound

VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning cites this paper.

VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:17:51.841859Z

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=pdf_text observed=2026-05-16T12:17:42.135851Z digest=sha256:1c72ed457759b8e7d873de1dd4ddfe6bd7a5f39f6101f69f5fc8ddc48704dc77

Observation 991c9287-84df-41d0-af44-cddd32d8c5db · inbound

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise cites this paper.

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:56:07.218164Z

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=2026-05-08T16:54:17.663989Z digest=sha256:a40b365de384157be2e0513bf2f61731e028ed8ceeb8621871abd738573d1433

Observation 9e3d6537-cefe-4037-82d5-9ebe8ebda2a9 · inbound

Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers cites this paper.

Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T05:42:25.486846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:42:25.486846Z digest=sha256:30fd6c49a5d253638f722117a084c7333d69401410a7684a679e3d80bb07f180