Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:40:56.235575Z

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

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 2026-08-09T06:31:02.800959+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

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.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

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.

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.

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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

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.

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 2026-08-09T06:31:02.800959+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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.