Pith. sign in

Paper Citation Record · LEDGER

Tool Learning with Large Language Models: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:46.515086Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T14:16:23.842092Z digest=sha256:769e6ed336a3638ba26c52cac55c237d4a3f17820b4ef49e1358d81a4a60781d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:46e25a5979e99d6685c5e4140ae077799f56c7b9540d230db57b87776f1e2507

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:97fff79677f185d6b2ee0ed2e15389597ac40c9326032aa3cdd220053bc91418

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:1fec852c3e12ef26a07d41f14c25faacf3a8b35a8a544922b88aae7609e2a447

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:edc6c30aba5dccf2074c1b35251bdfa2e3693032e54f497c5e6aabb9b670862c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:230104c1eaa217471d1b35804958e7f58aeec48165c08b4d122a26899450ed26

Observation 0b188d76-8f2e-4a63-b6bf-411e9f8cd342 · inbound

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools cites this paper.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Tool Learning with Large Language Models: A Survey

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:46.515086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:46.515086Z digest=sha256:a284e56c7ccc0ff4346a5575de77456aafb5dda501dcfba435b1830516547275

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:0226fec91fba2f640ffc848e45410157dbb5df869bb95f5857f1d986666c461d

Observation 890e9a32-47b4-4f61-b362-0ef8df65bc56 · inbound

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning cites this paper.

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning Tool Learning with Large Language Models: A Survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:06.492485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:06.492485Z digest=sha256:6705c9bdba4df1ae198284bffb57ac1ae7bcbe1f7fd15b6396ff5bc82a79498c

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=sha256:6f0b4588db47224ebed5d5a2347a9ed06ad7af0345c16a290c17d6e152e22ef6

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=sha256:3d8884571fcaff9e0d0e129e7f3004469d25bb889e4eba5485fcb65324ced919

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T15:00:51.162221Z digest=sha256:db4eb6271ccd7d903e7ea04bfe312c594ef0f7711a37985ece632f09e74b496d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:16:31.563686Z digest=sha256:57e0239e4a17736101cfad66b6fa696295f25b9f978c818f58415b509a55450d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:49:16.409834Z digest=sha256:8a31d78257867b1ef1c156b314d28f7fed6cd8455a2836ff49cfe8d1ca734d59

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T17:40:14.733882Z digest=sha256:fd539da61221fd6dda767f25e87e0808183e415f32ee7b724e27ac3d8395955e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:db7a5f01d81b138e057046a743e8c1823b94e576523352790e4bfa1eac3f55b4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T05:29:11.490033Z digest=sha256:a4bfe4df210c952e336f994d4b2067841c107d95a6bde069ac47d2da9c4e4158

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=sha256:1f1ec549c2fc44fec49f1278c3e7ed025b64269839bef7e9896723381bd70663