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Paper Citation Record · LEDGER

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs

As of 6 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2605.17558.

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

pith.paper-citation-record.v1
2605.17558 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T22:30:21.756864Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:49:12.070481Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T14:58:33.184885Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact12
  • verified fuzzy10
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd5316e3-0469-44e0-8b81-3f2526c5bb0b · outbound

This paper cites MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers, May 2026.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers, May 2026

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.221646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:eb8109289892047879404f4b38a23c5dce54d74d52266aca406883c9f2998964

Observation d2caee5d-7adf-4b92-bb85-de4a46b9853f · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.683772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:1e30fc81679a2154eb196fe4d6d89d01f375f1ac8bd2fa181c74827578863b2d

Observation 5303d856-de6d-4c06-9137-d7ba02a4eac8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Evaluating Large Language Models Trained on Code

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.689730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:2042cb67504d92b89ec161ed1b25fada1a3d5d99b42cc9e743ce7029065ebe83

Observation d477e8ae-15d8-45d7-84b7-39b20963fb97 · outbound

This paper cites Scaling Agent Learning via Experience Synthesis, November 2025.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Scaling Agent Learning via Experience Synthesis, November 2025

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.226565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:8a299b9737ac2eb5a811aaf695a696f9b85b90dc745f4ec1a00846c39f087998

Observation 90dc69b7-7f6e-4b53-aff8-4fe5b1b3a533 · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.692323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:980cf7bd4c12e4adf0e145aaaf11485813ed2936ed252c2f4f57685c2ab1f4c6

Observation 8d130a63-fc49-477e-bb43-63e1a562f1c0 · outbound

This paper cites Machine Learning for Synthetic Data Generation: A Review.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Machine Learning for Synthetic Data Generation: A Review

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T22:32:49.697954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:20c2fc35ffc0fb4bee1ab340e13a1603f8dd0313bc3fbde7fdf4eacc7521eedf

Observation d8a6a477-8f45-4995-bf17-91d3cdb2b84b · outbound

This paper cites Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks, November 2023.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks, November 2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.224150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:a7854a5c8ff03a2474afd4cd81b73abe82fd04b576d69ae9c4ecd6bbf64ab3ee

Observation 585199ab-1ecd-4bc8-b2b0-05da0791f4af · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.694984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:6505099298385190b495e4d703304e14255fb09ff701f40f61def9925488cc15

Observation f7b139a4-3be4-442c-8425-2c49e10b1e9d · outbound

This paper cites APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T22:32:49.687103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:a7f3f313174ce424738d6e8a8bfe121eefb4de6bebfb2817812be879cb8311bc

Observation bd4a0a5f-19ee-461b-a735-2a32d3f3f625 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Code Llama: Open Foundation Models for Code

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.706909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:3a6290d07d162951ec197d8a1bd70117def2a5de5fc6c2dcb7cad4ecb81fbe05

Observation 3dc4b6e8-731e-4545-8b25-36c3493fa538 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539– 68551.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539– 68551

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.219506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:c040a7b9717fda55451b85b50c630aedb6f7ba4ea2619f0cde4276562a356352

Observation a52249a1-05c8-463e-acd7-074b1516c696 · outbound

This paper cites an unresolved cited work.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-19T22:32:50.215140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:70d564bb38bd3acb7eafdc8bb8163708ced84df1f1121d04d454a6d238f9c1fa

Observation 15ca8cce-74c6-423a-8c1b-54d4a0ec8d72 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.700791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:0648f4014b2917913bb29676fdf0058af88f8f4bf86228d2aa19b1b937b5497f

Observation 789420d6-3639-47c5-bc59-0c50e4dae8c3 · outbound

This paper cites Alpaca: A strong, replicable instruction-following model.Stanford University Center for Research on Foundation Models (CRFM) Technical Report.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Alpaca: A strong, replicable instruction-following model.Stanford University Center for Research on Foundation Models (CRFM) Technical Report

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.217409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:5fccc69a9fbaa83a9239deb977579d8816ab1c4cca70f988ab5605d07d34e08a

Observation 8b33de74-6f9d-4440-9857-5d605896a5d4 · outbound

This paper cites MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.709724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:10a917f304b684d25be8132f58f2854e8dd2faf58c592d70582201c39c55cebd

Observation a6ad14e5-816a-40ec-8dc9-689ab7b3be55 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.718275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:fe6f302c62a125334beb3d5f63f7ac3f5f5f62514430c815a18d5631b8d6d9e1

Observation 9b199f33-4c2a-4d1b-93b1-c918467fba27 · outbound

This paper cites Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents, January 2026.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents, January 2026

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.211203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:121993a6bce766fa9a4647d2343332588e65642e189bbf6afd7f41c630770a3a

Observation 16a96b81-390f-4b0e-aaea-f4c38a8a391b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Chain-of-thought prompting elicits reasoning in large language models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.209090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:0724d436643712a192a7949e3370347ec7ded844dca715a94200d9471fd8fb6a

Observation f6314767-d63b-4938-b266-a4b2611f146b · outbound

This paper cites MCPMark: A Benchmark for Stress-Testing Realistic and Compre- hensive MCP Use, September 2025.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs MCPMark: A Benchmark for Stress-Testing Realistic and Compre- hensive MCP Use, September 2025

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.213339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:daea2ba78c8d63ad056fe8d2c603a3e735377bfdfb91a4688df0375c60e8e360

Observation 01c66ab0-6ac4-484f-8e53-15f68e1d7823 · outbound

This paper cites Wizardlm: Empowering large pre-trained language models to follow complex instructions.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Wizardlm: Empowering large pre-trained language models to follow complex instructions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.205970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:87f18774772e75a175d7ad6dac8d3d9ab7f0b9987904443fe391459e47fe2aaf

Observation d1ad10bc-4d82-4dbe-b6a2-7207ab14cb2d · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs A Survey on Knowledge Distillation of Large Language Models

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.703926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:5707baf25aaf484c9bc834667fbdb813ebf787c91b1d60ffc479f79998a60a02

Observation 1a7e0e56-3350-4102-9853-3d00002afb7b · outbound

This paper cites Toucan: Synthesizing 1.5 m tool-agentic data from real- world mcp environments.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Toucan: Synthesizing 1.5 m tool-agentic data from real- world mcp environments

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T22:32:49.715526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:a0f0afd3e741d49b729b79b7367a35c97d9a08da20228b12da07c5b4fdc8e1e2

Observation 3f91fde3-f9b4-4c56-b27f-62215bc2e17b · outbound

This paper cites Qwen3 Technical Report, May 2025.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Qwen3 Technical Report, May 2025

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T22:32:50.203981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:ec5226d61c3ca4a9d5d593fa36d19306ab541930553a60abf57c910798aacef0

Observation fe6cecc6-e81e-4437-9a92-a91468a1c762 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:32:49.712511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:6cf539d41b1659022517a3157dd4069859f1ffa2c89f5cbbd3816469ee35ea70

Observation eb8f0a76-4976-490a-9435-f3b16721f7ec · outbound

This paper cites Limitations.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Limitations

Reference 25

Resolution
malformed identifier
raw_fallback, observed 2026-05-19T22:32:50.201796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:30:21.756864Z digest=sha256:9f8fb75f8960fa1b4637c3d4bca6f3286978d23e161b118e9a64fe40ffe689f9

Pith citing papers

Observation 33cbcf67-c751-4e06-82df-d41b5a216c8b · inbound

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents cites this paper.

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T14:58:33.186358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T06:49:12.070481Z digest=sha256:396c15d4e79c99d4d72f4a845b3930833156d81b36085f8cf25178418689d714