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Paper Citation Record · LEDGER

Tool Learning with Large Language Models: A Survey

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 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 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:10:21.996838Z

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T14:16:23.842092Z digest=sha256:55ef0a4421906e93b9ea555f7645017783ee518fa465e3b782f783a8aff8ede6

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:161fa9272e219e77e5d37f558a41c94b31b7ca10d1ed859c126256ff29fd23cc

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:065dca4d8a5d727f729038d75bda2e17a17752f156ba9f703600965205fdd061

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:b87cede5054b0cd76cf2a37a9b2bae1d70b2d007aaea575c35a4932bc8dacaa1

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:6c2de8bd2f5c8639e4a1e57f70d71098e64bb84bd2c405f5092aa3f7888623b4

Observation 5dbce96a-f30c-4db5-a1f3-980f380100a2 · inbound

Action Engine: Automatic Workflow Generation in FaaS cites this paper.

Action Engine: Automatic Workflow Generation in FaaS Tool Learning with Large Language Models: A Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T10:10:21.996838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:10:21.996838Z digest=sha256:58a0c13430b4bf8a570ca80433358b011fa91c8a4e99de142f319e535295518f

Observation 4460cd20-39c3-4a10-a62c-b122135d3766 · inbound

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation cites this paper.

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation Tool Learning with Large Language Models: A Survey

Reference 19

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no resolver link, observed 2026-08-12T04:43:33.005861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:43:33.005861Z digest=sha256:4d7a78e5d26aadfd5248a20b61b673826e2f841353a27a3f73dabcb92001f8b0

Observation 460b2754-3430-4ff0-bd86-fa64385ab668 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Tool Learning with Large Language Models: A Survey

Reference 43

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no resolver link, observed 2026-08-11T22:41:14.606247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:14.606247Z digest=sha256:6c82af020526de295afcde5db63f2ee4fcb81c2be2bd89b3f61fd4472b58b91b

Observation 2d2048da-d857-4899-9dbe-4945caa4fb8c · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks Tool Learning with Large Language Models: A Survey

Reference 80

Resolution
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no resolver link, observed 2026-08-10T23:07:33.776780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:33.776780Z digest=sha256:6f11954c48056cae873ba59251a00b1ec7cf722a5b39420e2ea4032d1c127413

Observation 4a815dc1-c1fc-43b2-8621-a4bd8c573499 · inbound

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction cites this paper.

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction Tool Learning with Large Language Models: A Survey

Reference 2002

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no resolver link, observed 2026-08-10T22:54:43.796997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:43.796997Z digest=sha256:d05b70ad5ed22818a5bf76512e10b8174bd7da27edca5662adf0d3502abf73f7

Observation 5cfc76f1-8c5a-41fb-82c1-ab3c64a5624b · inbound

IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently cites this paper.

IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently Tool Learning with Large Language Models: A Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:49:57.679353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:49:57.679353Z digest=sha256:3cd22239f0b83dc05f537f9b098c6714529c987050a757fe9208dd438fe289a4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:c82fda1b436be55dc36a594f15332492af4a5eb1149807e75cc172e2e12280d7

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=sha256:5668e1ccd976e39e2977aa6d9d78996db3ff64b9b2cefbbd92f752dc266bbe8a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:d2bf50f437ec7da836070633ad1368f02844b429689ad30d428e3fe55192ede6

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=sha256:9608e14b5b5865bfd3506a11c514a438d6dde585c8307f4f5d5db2677b896725

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:d68fda6d04b7a373ef14f65ce730b7c77d40c6a445be74ac4f80e7a6a3f2f8cd

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=sha256:1e8212fefef017dae7d77397a79e240fc5dec743f94bee996ff612baea147282

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:d4c6bb7e8d50fd16005ca7eaf63359df35e4a796c1767f8915dcf48c9e29b0e6

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:b1cf209979df298b9264b0c8657ee6823c6c3c9500787e16e45694e10608cd60

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T15:00:51.162221Z digest=sha256:68881dffc81694b87bb2dfcb4a9aeb6e888c2cd59158299b3e7a9590956620a5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T19:16:31.563686Z digest=sha256:e5cc98fa81147d46c1793f98c52c49e6574d272fb59bcdf1372049deec6612a6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:49:16.409834Z digest=sha256:b785123fed4f3e27ac563c28b1c8b79838c79687d47f2243ce0fb144df85b60d

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

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T17:40:14.733882Z digest=sha256:3c92a1a22b8bb633fd371a6dee862b871ba05b932da707d9869f67fb9e918b47

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:0187d20608a24267af9e0ac11107601fdc86170819933b61576ee030733ee89f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T05:29:11.490033Z digest=sha256:0194b38186bbc406e00fef8cccd6acaacda22619b7dc2ced093cf21871fa5b48

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
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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:e849d4d0d50a99cb573a05cd33f81f769b13637e4973fa980f64610c34224fa3

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=sha256:080a1ecc38f46b4f9c1fb8fdcb4b520d5bf5d9c7dec1f195ac21d0f112feec6e

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

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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=sha256:598b0ea7039b6f98563c05e38218fe62a2dda44dec3e2573cd7845e7508ac86d