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Paper Citation Record · LEDGER

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2308.00675.

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

pith.paper-citation-record.v1
2308.00675 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:19:24.773527Z

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

9
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 a55d8fee-3d8d-4d72-b278-8894a5f5ec6e · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 218

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:32:45.599451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:74b7f033f735e1cfa09e695adc750888fc2d3f5b3682df7846da4f71abb25937

Observation 8f73952d-bf56-485f-abb2-87369d3abaa8 · inbound

Reducing Tool Hallucination via Reliability Alignment cites this paper.

Reducing Tool Hallucination via Reliability Alignment Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 14

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no resolver link, observed 2026-08-11T21:47:16.945817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:16.945817Z digest=sha256:024b0ad6d383b93c7111feec9622f543e40fd64022685bbc4f942f53278c23e4

Observation 90bb6b99-f2dd-428c-ad4e-4f0ca97d49b7 · inbound

Self-Training Large Language Models for Tool-Use Without Demonstrations cites this paper.

Self-Training Large Language Models for Tool-Use Without Demonstrations Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 13

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unresolved
no resolver link, observed 2026-08-08T17:40:56.235575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:40:56.235575Z digest=sha256:b5b743ffd93aef9db521175f1b0d48061780c24b882cab1bff9b5f41b701351f

Observation 0a73dafa-4d5d-4f08-b440-36c1e563e015 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:12:21.008074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:6bea56fd1af0cca7e780828c4abb1c11d1e184b9629f5afed8f604837d7d0c1c

Observation 0923edc5-9b0a-4f5a-b3b1-bf3a18377b99 · inbound

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution cites this paper.

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 14

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unresolved
no resolver link, observed 2026-08-15T22:19:24.773527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:19:24.773527Z digest=sha256:ff247bb76a21f2f0186ebbfea198a214181f238c94831edbd5cbb018e26de5a1

Observation 2ac52851-d845-4721-90c0-7b07fd8129b4 · inbound

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers cites this paper.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.380071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.380071Z digest=sha256:883800767b4420822c3ada16707c07427a690ca7918fb4da283b44b9e57e6c6d

Observation ab0ad9a5-5683-426a-b343-92dc66010113 · inbound

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation cites this paper.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 32

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unresolved
no resolver link, observed 2026-08-15T20:12:30.975121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:12:30.975121Z digest=sha256:39184df4fc732ccf3bc0f477c47b4146853eb2f35c7c4e321c223815dae95c91

Observation 891f559a-d704-4351-86c8-8344bece7880 · inbound

CODEMENV: Benchmarking Large Language Models on Code Migration cites this paper.

CODEMENV: Benchmarking Large Language Models on Code Migration Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:59:03.549295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:59:03.549295Z digest=sha256:60b3a09ee8a093bae9a7ef76b5dc274245112751ad39388f6fc4a42ba4cff108

Observation 57efea24-4caf-4dab-a0bd-6d95e2794cca · 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 Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-06T15:34:30.167233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:34:30.167233Z digest=sha256:8e04f679a0fb224026246b7ed2206e03bd25608fc7fd6991255b55bc92a555ad

Observation ee6ba036-1b19-43eb-b496-43c18e9716e1 · inbound

From REST to MCP: An Empirical Study of API Wrapping and Automated Server Generation for LLM Agents cites this paper.

From REST to MCP: An Empirical Study of API Wrapping and Automated Server Generation for LLM Agents Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:27:01.199190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T03:24:00.804285Z digest=sha256:aaed9b977b8c8fec91f9c099a5388ff794aa17faa72baca8abe493c053340479

Observation fcee05e0-2bca-4e21-a978-d0b43612fd93 · inbound

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

Augmented Vision-Language Models: A Systematic Review Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T14:33:33.565983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:33:33.565983Z digest=sha256:a33b26e86c58ddc6df1f3fd5ba41245c1a181bf00811009badb607b5f25dab95

Observation 0bdaea96-8c3d-40f9-9a73-9a3cfd1a0c6f · inbound

ReQuestNet: A Foundational Learning model for Channel Estimation cites this paper.

ReQuestNet: A Foundational Learning model for Channel Estimation Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T21:24:03.314790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:03.314790Z digest=sha256:244a21d9103d2095c6fccf31a4316a0cbde95538e88af8eec4a3ba673bc3a39f

Observation 55687e44-0335-4f2a-8f4a-b8aba726815b · inbound

ReQuestNet: A Foundational Learning model for Channel Estimation cites this paper.

ReQuestNet: A Foundational Learning model for Channel Estimation Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T21:24:03.386564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:03.386564Z digest=sha256:827b3af9285b413de9afec94640a3e4023878aab06466593ca9979cdd6855355

Observation c77928b7-a854-44e7-8ef1-15cf9762ff06 · inbound

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments cites this paper.

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:56:55.244152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T23:53:41.256273Z digest=sha256:a11dd6bdd2fa4d219054f54242abe755ed75b3c1cabd2d87ca08865fe84fac7d

Observation 13156922-a65d-422f-aa14-74db84b10448 · inbound

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments cites this paper.

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T23:56:54.921074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T23:53:41.256273Z digest=sha256:bded3c2d51ae29e400a23fc73ba6cf920ae1fa7e6dcafd795df171f808a01394

Observation 21552fc6-285a-49c7-8477-c3e9c0d7ec92 · inbound

Extended Version: It Should Be Easy but... New Users Experiences and Challenges with Secret Management Tools cites this paper.

Extended Version: It Should Be Easy but... New Users Experiences and Challenges with Secret Management Tools Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 43

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unresolved
no resolver link, observed 2026-08-04T19:50:49.946691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:50:49.946691Z digest=sha256:347c5af3ee55d8028b02fd35e4fa4644257ae5ac083095edb7fadb237f0c6c2e

Observation 46132497-abed-4945-ab06-8561e81a549b · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 215

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:26.246439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:0f8df6751466e21582943d34864b3ff5a2aaf7dfe80833ccc15486041d7168d2

Observation 862e632c-8385-4a6f-a993-1489f8877df2 · inbound

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions cites this paper.

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T23:04:30.321592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:04:30.321592Z digest=sha256:bb8a4b85ebe56e25a2d0471d74607f71a3b4e40f5be3583e92968112e42a5c2e

Observation 3f21d45f-e2c9-4d3c-9a6e-1368b42e3cfc · inbound

Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? cites this paper.

Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:56:33.685845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T19:52:53.443887Z digest=sha256:25f7de7da7b7a699c7868bf052961ecafd9a54d19fd290ef4668583a90f9152a

Observation adfb310d-62bc-45dd-abbe-e9015e727ef4 · inbound

S3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question Answering cites this paper.

S3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question Answering Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 2

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unresolved
no resolver link, observed 2026-07-12T23:31:35.459743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T23:31:35.459743Z digest=sha256:4ca0468a6e39f71a879510b45c9ccba12f75539dcd29e603759dca529fd1df2e

Observation 3969cf2a-a116-4771-904d-61bf95757af8 · inbound

PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models cites this paper.

PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T04:06:34.713405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T09:30:15.567469Z digest=sha256:b333b4757910968b38fc3f63974f194fc295993481a3f34d4998df5f9f56dc1a

Observation f3c7f45d-2abf-434d-a2bf-eb2167804b0e · inbound

MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning cites this paper.

MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:57:56.195171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T10:17:42.831128Z digest=sha256:2806de028ea17fc3b52348ea073b5ee6b50c14843c4c0484c57bd82594f78f1e

Observation a28a25c1-1c2d-458a-92d5-d267cbbab04e · inbound

ToolAtlas: Learning Once, Reusing Everywhere with Tool-Side Memory cites this paper.

ToolAtlas: Learning Once, Reusing Everywhere with Tool-Side Memory Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T06:53:39.552690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:53:39.552690Z digest=sha256:40b2e9a2f889cab3bfddc0a95460727efa72e1e8190a6f1508d33fe1d5100d78

Observation f1185b0c-ab04-4dea-b311-18717026374a · inbound

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution cites this paper.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 7

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no resolver link, observed 2026-08-12T00:38:15.782189Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:38:15.782189Z digest=sha256:49d86be94806e341a33156087cf4fd7ac2d296753afaf58460d4057db778839d

Observation 85e97315-9b49-493a-be2a-541802c25a69 · inbound

DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM Agents cites this paper.

DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM Agents Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 19

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no resolver link, observed 2026-08-14T04:18:14.690786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:18:14.690786Z digest=sha256:25ad2e1efed4e65a92c65f77778ab566e20fe3cce49bceb39db9346227f8be91