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Paper Citation Record · LEDGER

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.18518.

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

pith.paper-citation-record.v1
2406.18518 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:32:48.310645Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-05T04:40:40.645098Z

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 e167368d-f7ab-4f74-a1bf-40c5371b73f2 · inbound

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities cites this paper.

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T15:32:48.310645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:32:48.310645Z digest=sha256:d54ac4f250e1f887a5cdd2c5ee3a8c930bd17983e60cd8600d0ce9b9d58f1603

Observation c6142047-764f-4588-a741-0401caa46358 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:30:02.995518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:7c177f2d2d4662da5f80d1cbaf193b1c3e5ac798b2dc8707754588710ae1c767

Observation 8974eec0-168b-41bf-889e-70aee0fe6b95 · inbound

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models cites this paper.

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:43.791043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:22:43.791043Z digest=sha256:68520d4b53efbe423d7cc2504c75443b0da146ee69f3856d6b635b498a8a6a49

Observation 201cd6c1-3ec3-4890-b5e3-f4830eae074a · inbound

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents cites this paper.

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T23:55:38.242749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:55:38.242749Z digest=sha256:2fe677c1bb19276c0f8eb91130f9d1abbaadda20d912e7f7b0e60f40182f0105

Observation 0e3aa67d-7fb0-4945-9433-92dc32d8ac63 · inbound

RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation cites this paper.

RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T06:09:51.877080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:09:51.877080Z digest=sha256:1ef7ab7b4ff1ed11f8fa0212e4d7a344101fd314a720337fd3c7539a6099f67a

Observation 21349642-9a4f-4fd8-86dd-80f246353dc2 · 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 APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T21:46:33.308122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:46:33.308122Z digest=sha256:e0a335d7f2540e39660627ce1e5f7594b7d37f785568ddf76024c167f3a08086

Observation cf1c8af8-5547-4efc-9376-1e6527f01ce3 · inbound

ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache cites this paper.

ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:54.941253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:16:49.292491Z digest=sha256:4ffdb3e05dd5f738007b8e9b0c981537b3a087b34d0f4b9e9edc590483d48e37

Observation f43b9f12-e28d-4b4d-aa98-c33360617193 · inbound

R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling cites this paper.

R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:46:05.684078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T00:31:31.327074Z digest=sha256:8cd39420230f4c9f2fa5cdc02f9217ad3bec6673eac9bee2871e03d5cd07ec9f

Observation b2d5013e-4788-4fa0-9388-0e3cb9ee698e · inbound

R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling cites this paper.

R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-05T04:40:40.648033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-05T04:32:42.150335Z digest=sha256:7fc1d91545c05f9db1612d2b3af16f35e840ace414ff2fcd01601bc6b6a4cb85

Observation c5f28b09-3106-4c34-a125-56261454ba07 · inbound

BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models cites this paper.

BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:41:11.166440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T11:08:04.684729Z digest=sha256:86839925fbdba5f05f67e3177e76df54d8a93eb5484ea2ce0fc07ff7484f002b

Observation c1e63385-cd95-43ba-9b63-f405b41e3d06 · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:17:41.464678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T12:50:32.024037Z digest=sha256:930c2c2a101d609bd6f0786b5dc7cb0d2c7165aff5dc7a47cf4380b7850be5ba

Observation 1153a630-3a9f-46cb-bd21-a1183050cdbb · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T18:06:15.668254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T18:06:15.668254Z digest=sha256:02e6c3c8589e7d7e977264ecc81e767462fa4c10615cc2522944ed68468f7231

Observation 92067816-87a0-428c-aec3-781014ad956d · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-15T10:51:49.150058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-15T10:51:49.150058Z digest=sha256:fa617ba1c39ca53787a6ff01883b0a555ce526196b33eb0052deb2f7ed62d793

Observation b1f5e046-2670-4fb3-bbd5-010badbd885b · inbound

The "I Don't Know" Filter: Enhancing Agentic Reliability in Function Calling cites this paper.

The "I Don't Know" Filter: Enhancing Agentic Reliability in Function Calling APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-11T22:10:22.729188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:10:22.729188Z digest=sha256:93828105b2b952a1db11e98fb3c766b7dc67bc5feb69c8f3e9dec58d4e9f56d5