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Paper Citation Record · LEDGER

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:21:29.074044Z

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 90353897-199d-4e47-9b0e-22aec9c9ce25 · inbound

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction cites this paper.

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:00.823103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:00.823103Z digest=sha256:dceef0ba4b63c82dd9d6f394568cba8b09b0d07e8ee85fee7fce772e41eabf3c

Observation 04eb2e79-7edf-479a-b1cf-dbc7c40d2850 · inbound

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models cites this paper.

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T20:21:29.074044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:21:29.074044Z digest=sha256:614258ad0b3f23278ece768c37ef37b03911ce70442bbe241b7c10e0d8a30be8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:9eb814e0b3a543a1da2b5797427a22c9c368db2c42b7fa8f2805765098cc6a60

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T09:02:40.294491Z digest=sha256:3ed340b8d97112aaa471aebfa6c6556c16b9adb4395d0c495dff46e7b26b1a11

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:5955dababcac3323c7a4e3b8cfcd1702616f392c909c695624702e87d2265b93

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:ec9bea6d9b1159840e7e8dcd069d63f62bbb668e44a7611c7a73eb1584597ed3

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=sha256:0534b74b00c468c5b451b071a6a2516357eaf421cb546b16864d807ec1d5e31b

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=sha256:5303aa640abc2aee1958cbac81c4db2a7337f70a194010eaf95a5337ac365421

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T08:12:10.542542Z digest=sha256:f541a7ec070ce323d56800e9bb03db1f7f6548544547c5223de6cce63742fe7a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T08:26:12.441869Z digest=sha256:ab8cb302eaf2d395c6d85296c5935a04c4741983dade848efec9bdab501abfaf

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=sha256:0ae7f30cbc992fd5edd9c40fec8c6d40a5683a404a4982fd9e9781939f2f86bd

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=sha256:2fe930c15bf63dbb775cdd42327a77dd46baa99fc82c85f18b4bf8a75cb645f5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T11:02:55.529271Z digest=sha256:06de18b342273871e68d1658a5b89fd8ac81bbc4fa268cb0eedbeb54fda5803c

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:b994677441542e92ba31a02b2d4f6076f6d23e84a87598e543df3c5fd9616524

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=sha256:4ac8f55b3aee87f21ff3c1af28a9909f348941815b4ff029160211dd13aa17d2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:a0a530a04b7698e5bdeeb34047d6ec7eea258548139842ac05a3e4d34992227d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T12:17:42.135851Z digest=sha256:7b32e3988129933e0dc680b6873723184d0c19474a4ac44a8b1c373dcd9d9e81

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-08T16:54:17.663989Z digest=sha256:9d6dc7f594d328d04a4abc32f52f189ec2c48ef255789f17765b8735aa7640db

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=sha256:3ad38f2ebe18e117d52110986f74a18c8c2bb225cb0e8e2d2363a92671252f26