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Paper Citation Record · LEDGER

Learning to Use Tools via Cooperative and Interactive Agents

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.03031.

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

pith.paper-citation-record.v1
2403.03031 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:49:21.917941Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T08:39:42.679267Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6ebc0d49-9386-4d35-bd02-4e7454df09cd · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey Learning to Use Tools via Cooperative and Interactive Agents

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:16:41.782995Z

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.

source=pdf_text observed=2026-05-16T23:16:41.679855Z digest=sha256:9fd3b04254d81e61ce2997a1ac56cab46788ca8656b866c44e394e2eab92d659

Observation 40d9b284-540a-4915-8395-48c3c8b4c95f · 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 Learning to Use Tools via Cooperative and Interactive Agents

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T15:49:21.917941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:49:21.917941Z digest=sha256:54efadac0d9de1e94868a4522ccd5dea85c7ef56222df81b0d329d5cfe7c6851

Observation 3c85e1e3-96e1-4089-bac5-d2aa1516019e · inbound

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists cites this paper.

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists Learning to Use Tools via Cooperative and Interactive Agents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:42.866610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:21:42.866610Z digest=sha256:4728e630dd2651926a6f1a379eaa67b60f6d8ecc2aec2622c1fbab27f745346a

Observation 418588fb-d4d6-44f5-ac66-95ce48176972 · inbound

DeepShop: A Benchmark for Deep Research Shopping Agents cites this paper.

DeepShop: A Benchmark for Deep Research Shopping Agents Learning to Use Tools via Cooperative and Interactive Agents

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:01.415899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:01.415899Z digest=sha256:b1cb5f9409407c99262bdf640ab8ea01903bb5ec7084a2f118551f3e0b430e26

Observation fa30607d-fc55-44c5-8c5e-6169d89105f1 · inbound

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering cites this paper.

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering Learning to Use Tools via Cooperative and Interactive Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:33.948303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:33.948303Z digest=sha256:1698dbfedd4af75a658bf5c023cdd376880f0a22709d6185118ac9de4e6eb1ce

Observation 92b7a793-cd8e-43b0-ae7b-db1c37d0569b · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Learning to Use Tools via Cooperative and Interactive Agents

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-04T08:06:15.109060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:06:15.109060Z digest=sha256:f1e830b2d203c519d94eab0d2ff8caa4edd6586ff1b9e3fc4b1255bce616a4da

Observation c3c71609-21b8-4934-9990-0d33401b8718 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Learning to Use Tools via Cooperative and Interactive Agents

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:42:21.980401Z

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.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:59dcd4f977144a578a827ec8b2d2d55c4a22bdd98200c5133df0c8a1e703d125

Observation 5fa503df-629f-462a-9c8d-a202192e01f5 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Learning to Use Tools via Cooperative and Interactive Agents

Reference 229

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:26.281768Z

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.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:d8c51a5e5a58d82fc9a6501aa6717d79c9524b34e97e04fdf5fcd0a3b411c9c7

Observation b37339e4-526e-4d27-af69-dc5d7bc0d03c · inbound

AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports cites this paper.

AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports Learning to Use Tools via Cooperative and Interactive Agents

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T23:18:01.237347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:18:01.237347Z digest=sha256:f69f3e20b026a5fa417ff2711e6d0737e8dee7af0feb889ea766fae9b30587cb

Observation 765dc48f-c1cd-4242-bfba-1b7f2140dabf · inbound

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls cites this paper.

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls Learning to Use Tools via Cooperative and Interactive Agents

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T21:46:33.347746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:46:33.347746Z digest=sha256:f67639dd4752008b188db4165ecd16ee427b0d4a2bd0810fe96dd8a952bc93c8

Observation 2771504f-08d4-449d-ab8e-092e010fbd80 · inbound

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

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Learning to Use Tools via Cooperative and Interactive Agents

Reference 106

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:39:42.680533Z

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.

source=arxiv_source observed=2026-06-26T11:06:28.690956Z digest=sha256:80216dd16602f8564b737bff170a25c594b30979e4be424ee24ef6bed98b3243