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Paper Citation Record · LEDGER

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2309.17428.

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

pith.paper-citation-record.v1
2309.17428 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:18.011583Z

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

8
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 f9e14c18-ca0b-4655-898e-ea84cba6f710 · 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 CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 166

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.122640Z

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=2026-05-22T21:51:34.309870Z digest=sha256:667d4b77cc6b6a4853a21d98e9c7d7713287edec8186f0702e9209cbb897c4fd

Observation d8a5f53b-f2d4-49f1-8662-89b96d9e18d2 · inbound

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

Prompt Injection Attack to Tool Selection in LLM Agents CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:08:29.013525Z

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:d37ad326da1b99fa6bf84800f67f4a3cf08eaea5b527aca7ddbd95d85ee8a181

Observation e5ed659d-70c9-4c99-9d76-b2e6d4d45c5e · inbound

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking cites this paper.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:18.011583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:18.011583Z digest=sha256:041e979b840a57fe55de100c35f95625cf969d931bb486a5ddc363f9e4dfc39a

Observation 931ce1fb-1cfb-41cc-a164-95b45fb7cff2 · inbound

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution cites this paper.

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:35.265944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:35.265944Z digest=sha256:9b7f1cca989a2d3a068845c71cfb266703e65f5a63cc158977f5063729f4ea8f

Observation 36b90d28-34cd-4e24-925c-1b0637d5b54c · inbound

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System cites this paper.

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:41.428788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:41.428788Z digest=sha256:369215a34f071ba80a280acc0c332642b5a5bc50cbaada5e04f1cecefe8415ca

Observation 2033cb1a-a003-4ea7-8564-6a1b39722ed9 · inbound

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations cites this paper.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:49.797926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:49.797926Z digest=sha256:4103a358ccbf5c29e48021da09406851914dcc57b4755fe222a30af584a63e32

Observation 2aecf8cc-6820-42c9-b956-9b10838ccf7a · inbound

A Compute-Matched Re-Evaluation of TroVE on MATH cites this paper.

A Compute-Matched Re-Evaluation of TroVE on MATH CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:05:19.263975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:05:19.263975Z digest=sha256:edb8adf29aaac19ece500e31bbe5ffb8f1708e1b69da9a8e3fa473074affd2d5

Observation 6e6b4860-f14f-4c60-a595-ebe9ec49ad65 · inbound

Augmented Vision-Language Models: A Systematic Review cites this paper.

Augmented Vision-Language Models: A Systematic Review CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-06T14:33:44.391433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:33:44.391433Z digest=sha256:3dccea0ee768de4ddcd62f32a9a94c3ded6333106eaa6fb878a5a798f68496e7

Observation 5c326d64-8a65-42d6-9c86-575c8ef6a86e · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 251

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:08.253816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:08.253816Z digest=sha256:b60f9a9a9ab174f455a5ca8d141a5f169b3a779307d5068341d03647f10cd70b

Observation 37c209e9-d4c0-4f9d-9176-ed54e8751f04 · inbound

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning cites this paper.

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-03T16:30:42.624466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:30:42.624466Z digest=sha256:ddb0586293cf0b25eb4f0214a33930fc4e5032a21d98d23fbc75cbcbda24cc9b

Observation 6abe51fd-8485-4463-a1cf-6e96c1823959 · inbound

TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation cites this paper.

TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:10:59.582144Z

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=2026-05-10T17:16:35.875601Z digest=sha256:41f12089e3e09a295313fee4975a952b00aebb2ef32e3a8760c4b97b408ca966

Observation ca26a0d6-a4d6-43d0-a853-ce322c4ec1b2 · inbound

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning cites this paper.

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:10:52.030923Z

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=2026-05-10T18:40:04.944348Z digest=sha256:d8cd47fd58de4a4b65905098cb118a7fef44f82ea7dece0be7870eb6ce96659b

Observation 6e2d67bd-6e10-4d95-a12f-26dee40bed5a · inbound

From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills cites this paper.

From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T00:14:27.097891Z

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=2026-05-08T04:05:49.308804Z digest=sha256:9a245b7e768ce88732010b8acd773468a2faba19acbaf94f169def48d25a0c09

Observation d5557cc3-78b4-487f-a755-73e92af401ee · inbound

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles cites this paper.

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:51:15.383153Z

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=2026-05-22T07:51:13.362986Z digest=sha256:3321c29663504487002a9d682c7a488861c25cbe2828440020a513a14ee9f1a2

Observation 21ec0efb-95c4-465c-a353-61431def895f · inbound

SEAL: Synergistic Co-Evolution of Agents and Learning Environments cites this paper.

SEAL: Synergistic Co-Evolution of Agents and Learning Environments CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:44:40.900796Z

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=2026-06-30T13:38:10.466713Z digest=sha256:cb8a4a85cfd18a08b410be409f37b6783182f07965473d48185f4e880a096459

Observation 1b5f3f9a-164a-4a0f-854e-c35f685b25d6 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:39:42.672226Z

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=2026-06-26T11:06:28.690956Z digest=sha256:a5c053d344be16ff47d2e281cea8993e8878775ec09ed05623aedfdc5607dca4

Observation 4e3adec8-d897-4724-81fc-c39897aefaac · inbound

Generative Skill Composition for LLM Agents cites this paper.

Generative Skill Composition for LLM Agents CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:42.155021Z

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=sha256:879644d7669ae77e824baa790d0c18fe89e480abbce84e925e4422312cd022e3

Observation 7a3762a2-f8e6-48f2-b76a-3c3bc64cc1e6 · inbound

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills cites this paper.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.805805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.805805Z digest=sha256:08faed67c648080c5e71cabde5df39909654061fad590d0a110a50aa44cabe3c