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Paper Citation Record · LEDGER

Tool Learning with Large Language Models: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2405.17935.

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

pith.paper-citation-record.v1
2405.17935 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:02:39.878785Z

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

5
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 12023131-c631-4f07-8e40-00e52a5b0f09 · inbound

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters cites this paper.

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Tool Learning with Large Language Models: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:16:23.893242Z

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=2026-05-10T14:16:23.842092Z digest=sha256:fdfb0ecee0cfb9a3d6866a13ff1baf305d5a25eee00b3a2ed423caf7cdf86d83

Observation 1025727e-9fc0-4c49-b42d-8faf71c1085e · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems Tool Learning with Large Language Models: A Survey

Reference 196

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:07:54.922871Z

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=2026-05-15T08:07:54.611771Z digest=sha256:a2581ae76ebd862a54557bb0d6bf8f8025b9716e57dea118c5cf67be0cf1963a

Observation f1ccc726-303b-46bb-82a8-73ff48c2dae5 · inbound

Learning to Ask: When LLM Agents Meet Unclear Instruction cites this paper.

Learning to Ask: When LLM Agents Meet Unclear Instruction Tool Learning with Large Language Models: A Survey

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:13:28.022745Z

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=2026-05-23T21:08:42.276002Z digest=sha256:e55cfd81225e81ea7c8907aadfaa8f20197d241a3405942f4f8a47fa3fb74ee9

Observation 29af874b-2efb-48f9-b9c1-bf6c2027f489 · inbound

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Tool Learning with Large Language Models: A Survey

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:32:19.654219Z

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=2026-05-15T19:32:19.405615Z digest=sha256:a2a55936963646f451d6bdd61950956b1b252a7d1c0c43429c96199593b2cdfa

Observation 47f1e53f-9387-4a73-ae84-917bd9d95f1e · inbound

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Tool Learning with Large Language Models: A Survey

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:32:19.820682Z

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=2026-05-15T19:32:19.405615Z digest=sha256:b84a24f0540f900d23c738b13c19f1a00bfbdc36092a8c51eab47e3d37e31638

Observation d8770e04-bf5d-4746-be05-a4b5aa0bc3ff · inbound

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

Prompt Injection Attack to Tool Selection in LLM Agents Tool Learning with Large Language Models: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:08:29.116138Z

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:acc338cdeccab0cd9762dcbd32e71a09c4ce7037cd006dce4dfcf21c2e0b0452

Observation ce4d9c65-3f31-4245-ba8c-c163250d21b2 · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Tool Learning with Large Language Models: A Survey

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:52:16.388873Z

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=2026-05-19T11:49:36.574471Z digest=sha256:a763020cdac93b0c8d0b5b42b57671d594a6102745b62f2c54bc7f00829d31f1

Observation ebd8a6f6-34b6-4430-8e74-939421a62030 · 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 Tool Learning with Large Language Models: A Survey

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T22:02:39.878785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:02:39.878785Z digest=sha256:4a194d6690d16096a4184863d40fbf61067c506c5b7b54d7dd212c1e2b372f18

Observation 04edeb75-c25f-418c-9c4b-8cdfaee00868 · 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 Tool Learning with Large Language Models: A Survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:43.813982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:22:43.813982Z digest=sha256:88ffecdb08a316ef047ff14dea063737a3b6b1cddf9ee7d228c4e099b7e0f554

Observation 24f604b3-d825-4bd4-b48d-2fe5dd0fbe6c · 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 Tool Learning with Large Language Models: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:39:57.879132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:39:57.879132Z digest=sha256:e748d8a29d6f450d636adb6b6cf84bf1cb4be5a04b8055d43e5450cc1cadbad0

Observation a19c9c5d-70b4-4c68-ac4f-4f105cc607c5 · inbound

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution cites this paper.

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution Tool Learning with Large Language Models: A Survey

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-06T15:34:30.338927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:34:30.338927Z digest=sha256:6653fe8e38cc7d9aaf1a2d88236ceb0a8404d99f3c6097f71951cb628d5b1a34

Observation e8ff2903-fdca-421d-8943-12dd086d3176 · inbound

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions cites this paper.

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions Tool Learning with Large Language Models: A Survey

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:01:31.235884Z

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=2026-05-18T15:00:51.162221Z digest=sha256:32d31cd12405c1ffb17c73c198d94b3b3cbe2f3758a2bf8b93fb8051b6a21303

Observation adf9c5c2-7fee-4615-8743-e8b9ce6f5556 · inbound

Beyond Tools and Persons: Who Are They? Classifying Robots and AI Agents for Proportional Governance cites this paper.

Beyond Tools and Persons: Who Are They? Classifying Robots and AI Agents for Proportional Governance Tool Learning with Large Language Models: A Survey

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:15:48.247885Z

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=2026-05-10T19:16:31.563686Z digest=sha256:6d688ba612eb98e1e2caa0caa4649f525a2c382863432320e2df5dc6ffd32c91

Observation b2a9ff8b-4b05-4af3-8693-b7f486365c28 · inbound

IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling cites this paper.

IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling Tool Learning with Large Language Models: A Survey

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:05:56.807943Z

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=2026-05-10T17:49:16.409834Z digest=sha256:9035c091c9f3fef062d1f4110a08e94cf68ec10e767f0cbdea055237ec0564f6

Observation 12182416-7033-4972-8c0f-96c6a8aed84f · inbound

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering cites this paper.

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering Tool Learning with Large Language Models: A Survey

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:20:59.502730Z

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=2026-05-10T17:40:14.733882Z digest=sha256:90916493d2e656471324bad86d4df552d8816bac2fa86b2c37a98ac26ceca1e9

Observation cd91c22e-44aa-4e57-b596-f37b7653c2fa · inbound

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models cites this paper.

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models Tool Learning with Large Language Models: A Survey

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:49:37.539352Z

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=2026-06-26T14:13:13.678245Z digest=sha256:b6f6a5127e1463b615d82ff941ce2a8b6e63dc678b47bfc2fc2cc7fbe7f3383f

Observation 70f6ecff-ac47-40b1-96f8-acf45c531087 · inbound

Generative Skill Composition for LLM Agents cites this paper.

Generative Skill Composition for LLM Agents Tool Learning with Large Language Models: A Survey

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:42.182867Z

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=2026-07-01T05:29:11.490033Z digest=sha256:64a2d759bbb6146cdfea65a5ba2cecfcff3a3c1833851a3c415ba8aeb0381fec

Observation 8028ca9f-7bbc-4c28-a26f-a64ddd824116 · inbound

Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results cites this paper.

Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results Tool Learning with Large Language Models: A Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T06:26:24.512653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:26:24.512653Z digest=sha256:927e723a9f28a71546613ca72ff8207ee28e872d3e8bb0fb2aa9b982b9429046

Observation 588c80af-a2ff-46ac-8ef3-0938054b599e · inbound

Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results cites this paper.

Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results Tool Learning with Large Language Models: A Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-15T08:58:21.654258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T08:58:21.654258Z digest=sha256:ffda89a790dae7f98f7ed7a63bf3b8c1a6f045128c639886b9a58cf4424070ae

Observation 298d186a-c180-43d8-b4f5-1190d42b51b1 · inbound

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control cites this paper.

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control Tool Learning with Large Language Models: A Survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T16:35:15.456484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:35:15.456484Z digest=sha256:0b0c3bf24262228e5623566eca6481734a67436142c4fb73ad4ca61483a3288d