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Paper Citation Record · LEDGER

ToolCoder: Teach Code Generation Models to use API search tools

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.04032.

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

pith.paper-citation-record.v1
2305.04032 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:01:54.023981Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:58:14.531236Z

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 835869ba-ae6b-4bf7-aa6d-56fb6cbb8c37 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey ToolCoder: Teach Code Generation Models to use API search tools

Reference 229

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.515524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:ee879c01f7857f217ba3a21e95811f8f8603f07f4b9f79c3e7937e29e5129fef

Observation 27387239-a934-4061-8222-a0463dcbad10 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code ToolCoder: Teach Code Generation Models to use API search tools

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:42.681553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:c90cd8d65b41f3eff6276b839c44a01dc7416e03ca77125a3194982ba213cae3

Observation 8ddaf5fe-cb55-4685-acee-feabaf6e303b · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey ToolCoder: Teach Code Generation Models to use API search tools

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:35:48.311421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:47e7671d77d96fab7447b305c93adfc96c8d8bfc07dd804f45e10e8ab55b7bdb

Observation f8466b6b-a4bb-445b-a3fd-a94d26f4eadd · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models ToolCoder: Teach Code Generation Models to use API search tools

Reference 198

Resolution
unresolved
no resolver link, observed 2026-08-11T12:10:14.707953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:10:14.707953Z digest=sha256:22080b0d313d6ecb2b7a2bdc994c0131fdb81b4b9434a162e8659fcd47abfe2a

Observation 060bca89-95fa-43cd-a398-09b27520e6c3 · inbound

Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling cites this paper.

Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling ToolCoder: Teach Code Generation Models to use API search tools

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T06:01:54.023981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:01:54.023981Z digest=sha256:5938ad2c03b9c56b4a050239292c47b4d6f2e0dffd6b3772c76a1805de570d61

Observation f99e9ae6-eabf-4ff4-89f2-e70e5f56d03e · inbound

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges cites this paper.

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges ToolCoder: Teach Code Generation Models to use API search tools

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T05:22:28.537277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:22:28.537277Z digest=sha256:0fa5d9025b1fa2caee2742f12d5adbd5136a116ab18bb597013b09fc2b26f03e

Observation 16d633e4-d643-4a08-9ff6-8cb7589d3c5d · inbound

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression ToolCoder: Teach Code Generation Models to use API search tools

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:00.757002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:00.757002Z digest=sha256:4fcf048f757fb939981119eeaf409ec2176fa02b3e212e6f4cbcb524ae7096b1

Observation ec2857a0-644b-491a-a21d-edd419c17106 · inbound

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities cites this paper.

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities ToolCoder: Teach Code Generation Models to use API search tools

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T10:30:42.063309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:30:42.063309Z digest=sha256:d70a78b07037940d65737321fce62cf6278752e3bec228b508397b99d3594018

Observation d1490ede-d7c8-4a16-b2d5-b929bbfdd4e1 · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness ToolCoder: Teach Code Generation Models to use API search tools

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:58:14.532884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T10:54:54.558241Z digest=sha256:c90b04a7ba8e0000935d23693ba69572c581c6f74bd24f6c865829f3be6450f6