Paper Citation Record · LEDGER

Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.16533.

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

pith.paper-citation-record.v1
2405.16533 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:49:21.913843Z

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

6
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 9c16682a-3a92-45b3-91cf-a173fd94975f · inbound

TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models cites this paper.

TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:21.913843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f5647a-bcf0-4de3-9815-dc426a3607c2 · inbound

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions cites this paper.

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:02:40.341505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1bbadf7a-eb55-403f-ade2-fb13aff91af2 · inbound

Self-Challenging Language Model Agents cites this paper.

Self-Challenging Language Model Agents Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:55.929577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473a2f24-a5ff-465e-b1c5-a7d6deb4ca5e · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.738682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e77377f8-9080-4d98-b4ee-120742379768 · inbound

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation cites this paper.

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T23:05:11.026016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 053fba17-8db5-4fc5-8448-f8c92db70abd · inbound

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench cites this paper.

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:00.715428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74983267-a4cf-4b30-85a4-a1b6e06b686c · inbound

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services cites this paper.

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T18:00:17.570643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.