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Paper Citation Record · LEDGER

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.29250.

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

pith.paper-citation-record.v1
2607.29250 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:49:18.143666Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 20c8e519-ca63-4f39-ba0e-fc96fa32a013 · outbound

This paper cites Function calling in large language models: Industrial practices, challenges, and future directions.ACM Comput.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Function calling in large language models: Industrial practices, challenges, and future directions.ACM Comput

Reference 1

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source=pdf_text observed=2026-08-03T10:49:14.688407Z digest=sha256:d90ca186b41e9953d45778ddd4b1543a9fe5700e55c875cc215283c77b86b2c8

Observation 85514e0b-ec64-4707-b5f3-ad524534cab6 · outbound

This paper cites Lane, and Mengwei Xu.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Lane, and Mengwei Xu

Reference 2

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Observation 81081278-eb28-433e-8fe0-1c69e09adb8a · outbound

This paper cites Small Language Models are the Future of Agentic AI.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Small Language Models are the Future of Agentic AI

Reference 3

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Observation c9786447-e727-450a-9473-33f5c0e7f1a9 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Toolformer: Language models can teach themselves to use tools

Reference 4

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Observation 9639b518-6842-4281-927c-a99cb8d5ec48 · outbound

This paper cites Gonzalez.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Gonzalez

Reference 5

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Observation c1b94f0c-69e6-4127-9507-ce011235645c · outbound

This paper cites Hammer: Robust function-calling for on-device lan- guage models via function masking, 2024.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Hammer: Robust function-calling for on-device lan- guage models via function masking, 2024

Reference 6

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source=pdf_text observed=2026-08-03T10:49:15.218815Z digest=sha256:d6e5c223a26e9e5b2b087f3a770e3185b669549f30669ae0343eace2e41e4a73

Observation 49371276-a279-4b82-a89a-6d63820bc769 · outbound

This paper cites xLAM: A family of large action models to empower AI agent systems.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation xLAM: A family of large action models to empower AI agent systems

Reference 7

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Observation 9c6cd556-ae92-42eb-9800-a198908f5360 · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Beyond neural scaling laws: beating power law scaling via data pruning

Reference 8

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Observation faf107e7-4393-44bc-ae4f-ccec9deff41b · outbound

This paper cites Textbooks Are All You Need.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Textbooks Are All You Need

Reference 9

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Observation 29fe8d40-d53a-4347-9203-8d6daffe033f · outbound

This paper cites APIGen: Automated PIpeline for generating verifiable and diverse function- calling datasets.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation APIGen: Automated PIpeline for generating verifiable and diverse function- calling datasets

Reference 10

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Observation 2f06f913-ce2b-4a04-8293-f2df1562801a · outbound

This paper cites On the tool manipulation capability of open-source large language models, 2023.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation On the tool manipulation capability of open-source large language models, 2023

Reference 11

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Observation 94a61012-a49c-43d8-b72c-c7c4c9b46397 · outbound

This paper cites Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E

Reference 12

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Observation 04f4a172-8be3-4423-a8bf-c5fdb00a6238 · outbound

This paper cites an unresolved cited work.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Unresolved cited work

Reference 13

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Observation aea94d91-49f5-4c3b-88a5-e3a05a1dc9c3 · outbound

This paper cites Chi, Quoc V.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Chi, Quoc V

Reference 14

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Observation 5f6b2af0-119e-4fcc-9a28-8eaa62298daf · outbound

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Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Unresolved cited work

Reference 15

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Observation 4d2a1786-e78d-4146-9b06-38b4d1e2d752 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Gonzalez, Hao Zhang, and Ion Stoica

Reference 16

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source=pdf_text observed=2026-08-03T10:49:16.354384Z digest=sha256:af2cab26e10b52564e63c6a1e368f3375c80d90fe14081921cb181ed28924c14

Observation 530987c2-c38b-4a91-a8fc-107ec248bbd3 · outbound

This paper cites Orca: A distributed serving system for Transformer-Based generative models.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Orca: A distributed serving system for Transformer-Based generative models

Reference 17

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Observation b1136d20-c11a-4677-9820-b91ae966f9dc · outbound

This paper cites Gulavani, Alexey Tumanov, and Ramachandran Ramjee.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Gulavani, Alexey Tumanov, and Ramachandran Ramjee

Reference 18

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Observation c4f27557-4577-4687-9a83-29d683426ff2 · outbound

This paper cites Glaive function calling v2 dataset.https://huggingface.co/datasets/glaiveai/ glaive-function-calling-v2, 2023.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Glaive function calling v2 dataset.https://huggingface.co/datasets/glaiveai/ glaive-function-calling-v2, 2023

Reference 19

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Observation de6298f4-f0ca-433e-b371-241f874660dc · outbound

This paper cites Qwen3 technical report, 2025.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Qwen3 technical report, 2025

Reference 20

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Observation 922d0196-5a6e-4523-8ae5-c79f64a3bff5 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 21

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source=pdf_text observed=2026-08-03T10:49:17.103304Z digest=sha256:1dc6569d69a639a0ac4e26752edd9e81f2f8053a7eb5da42cc9f110ce4e704b0

Observation a185264e-cce3-4c10-a05f-651ca4fd084d · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 22

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Observation f5982130-d262-4000-90b0-4c2c51dcd644 · outbound

This paper cites APIGen-MT: Agentic pipeline for multi-turn data generation via simulated agent- human interplay.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation APIGen-MT: Agentic pipeline for multi-turn data generation via simulated agent- human interplay

Reference 23

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source=pdf_text observed=2026-08-03T10:49:17.292269Z digest=sha256:aa8c33e89e2e2b2b4be54b37023f7ec514cc71171ce3cf4636c67a86efd60ecd

Observation 38de9158-5aa1-4dbc-8b80-b0f776639288 · outbound

This paper cites Magnet: Multi-turn tool-use data synthesis and distillation via graph translation.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Magnet: Multi-turn tool-use data synthesis and distillation via graph translation

Reference 24

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Observation feeb02ff-1db7-48b3-852d-9d19b05dc3fc · outbound

This paper cites ToolFlow: Boosting LLM tool-calling through natural and coherent dialogue synthesis.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation ToolFlow: Boosting LLM tool-calling through natural and coherent dialogue synthesis

Reference 25

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Observation 3f4f6f4c-1c57-49bb-88c1-d14fbda64185 · outbound

This paper cites Funreason-mt technical report: Advanced data synthesis solution for real-world multi-turn tool-use, 2025.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Funreason-mt technical report: Advanced data synthesis solution for real-world multi-turn tool-use, 2025

Reference 26

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Observation a6525ca8-2f0c-48f2-aa5d-63f79b959069 · outbound

This paper cites Toolweave: Structured synthesis of complex multi-turn tool-calling dialogues, 2026.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Toolweave: Structured synthesis of complex multi-turn tool-calling dialogues, 2026

Reference 27

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Observation 938c450e-2bf3-4696-a707-70acbd6fbefc · outbound

This paper cites Dis- tilabel: An ai feedback (aif) framework for building datasets with and for llms.https://github.com/ argilla-io/distilabel, 2024.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Dis- tilabel: An ai feedback (aif) framework for building datasets with and for llms.https://github.com/ argilla-io/distilabel, 2024

Reference 28

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Observation 8872871f-e67c-41f4-b4a6-030f095e0057 · outbound

This paper cites Data synthesizer for function calling.https://github.com/Azure-Samples/ function-calling-data-synthesizer, 2025.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Data synthesizer for function calling.https://github.com/Azure-Samples/ function-calling-data-synthesizer, 2025

Reference 29

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Observation eded6632-e900-443d-8e18-32fa7aff79ba · outbound

This paper cites Camel: Communicative agents for ”mind” exploration of large language model society.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Camel: Communicative agents for ”mind” exploration of large language model society

Reference 30

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Observation 59716272-6daa-4b05-aab5-5426521f0c11 · outbound

This paper cites Lastras, and Pavan Kapanipathi.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Lastras, and Pavan Kapanipathi

Reference 31

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Observation e4f34762-debe-4647-8b7a-1c44515686e7 · outbound

This paper cites T-eval: Evaluating the tool utilization capability of large language models step by step.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation T-eval: Evaluating the tool utilization capability of large language models step by step

Reference 32

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Observation f4839172-7dfe-4441-beab-8ca39e256747 · outbound

This paper cites Can you order me a large pepperoni pizza from McDonald’s?.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Can you order me a large pepperoni pizza from McDonald’s?

Reference 33

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Observation c0aeea15-aefc-4469-9257-452324b3ddf0 · outbound

This paper cites an unresolved cited work.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Unresolved cited work

Reference 2022

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Pith citing papers

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