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Paper Citation Record · LEDGER

Tool Learning with Large Language Models: A Survey

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 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 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:48.059099Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T14:16:23.842092Z digest=sha256:c89db0d7cad890828d8112be63c9ee56e70eefa6190f43e8bb4dd42ef58e340c

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:9aefab21b8ff50044f3864b85da9613361671ccc5276573c8c8779c417134cda

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:97ab65c6d1ffe4698cad073a19ba70c513c714fcd55168071be9048bf4f23097

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:278e9f52303631e10e87b937549894da91fef953b5fdd430869277210d980cdb

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:dde3bd925cde5b25bcff72420609c4fdc909828af4932a02439b371320c5cc8e

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

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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:c6c9fbda3b5351aa428912256366bdcc64914fe8d0194d6fc34c43fdeada31f0

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

Resolution
unresolved
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=sha256:4a5f08dfb7ac0ddd883f6265a91c570cecb28e2a679976ac8f5e55871d2a68ba

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=sha256:380dc5f2e9d55bf4a3bee8ec32e58e0ed788d5c9d4083c07ddd085cc96fd0731

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

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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=sha256:664c36b92ce586b8637c7560de420db1b7e433b09e1d058ccbf176f67efe322c

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=sha256:4421b311e816935c88d4ee782dc0ef413f9f7d6c4375de1f5567e6e679805905

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
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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:f921ef8bfe9caedbf7942ce03b80fd3b93ec3d22942720003ba38e04b378838c

Observation d61735ca-3bd7-483f-a239-79cc5624514e · inbound

When2Call: When (not) to Call Tools cites this paper.

When2Call: When (not) to Call Tools Tool Learning with Large Language Models: A Survey

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:48.059099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:48.059099Z digest=sha256:5bf848219a2f8f2ed3fb0cd08912e9a5ed4df4239be7e4cb551b3599dce5c6d3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:66ea0580070d6066f2cc57c065e9c3b0983484ae7321114048c9fa1a0bfb5ed5

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=sha256:0af27bb7dbc0c114af32ac987f52e85bcdceddf2dc1a79233a06cff3cb69bea3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:d91f786ee161198b7fb458769ecf80a8c7dbdb14928ce40e0b4f12f40c4c4e3e

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=sha256:2573867952ca527c7c719e4561ddf7969c59d8beeb7cb0aaac93dade5b75da23

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:d740e6343d5aa10d656e243b67bc630cc0120d566b97d349ee4e15d0ade98f51

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=sha256:969ab57a4f1129e00bc20e521859c665f713f6a09f56dce6060e0302a89a7a74

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=sha256:38cd4474af9b6cb2556f594fe36ad6dc4979a604c87af4333e2f42fe9606c9a5

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

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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=sha256:9a3870af79c497f312dfab961591721c4c23718e8c93d262f0861049b58d9ae9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T15:00:51.162221Z digest=sha256:3ab771af6121c064dba7fcafc628dd4eb6d5d816e7d72f8cd2287b6e3000732a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:16:31.563686Z digest=sha256:c72ea46ea158201e0fefbf72de050b10929ede8d5fc09ddd799196ac6f403623

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:49:16.409834Z digest=sha256:abaf1f6f12e40beda23dd039ac3a1ca5d32e3af4fe6ab7f0c19ffcd325453453

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T17:40:14.733882Z digest=sha256:a0ee6f8bc271040f7628614409d91034b1f9268d7ba96c7df81116ce3c73d0f8

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:4a01ca0f4173ab5427eab1e3978bf7ee0ed6861d6fdd032195b23d121401489a

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-01T05:29:11.490033Z digest=sha256:c8912ea2e579a9157b90a64734092b7851701d40375b3c63976194581e1a6277

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

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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:f8f8751a22d35d83d73e5cfd40fab789473b7ce6bc8479bbbf64db434a36db1a

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:b84766d8927f14b1771b118b44b03ac4796763b240e198807f3da8b49a0a303a

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:cfdc629ec4ded24b020036845eccf0d90cff1a4d8e959e2bf6e9db741d1bfd18