Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:00:57.651118Z
Paper Citation Record · LEDGER
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2507.04009.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:30:33.667986Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T06:27:24.602548Z
Reference resolution
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy5
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 34d92c10-3497-4568-8af6-ffb8519c82af · outbound
This paper cites an unresolved cited work.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:00:59.247232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 36d54536-f167-494f-8e3f-88700851076e · outbound
This paper cites an unresolved cited work.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:00:59.017243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 13b98738-b50d-41e8-836c-b6bc57a65787 · outbound
This paper cites Evaluation Method:.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Evaluation Method:
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:00:58.833425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1368a9cd-6727-49e6-afd3-f224425ba63b · outbound
This paper cites In The Twelfth Inter- national Conference on Learning Representations.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents In The Twelfth Inter- national Conference on Learning Representations
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:00:59.657904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e902a8e1-d254-45a5-845d-efebf1709496 · outbound
This paper cites DeepSeek-V3 Technical Report.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents DeepSeek-V3 Technical Report
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:00:56.479445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24e4a5e5-13fc-4058-85e3-0faa9280c5c7 · outbound
This paper cites Qwen3 Technical Report.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Qwen3 Technical Report
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:00:56.601453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f39ec340-5fbe-4baf-886c-3bb038d5fa71 · outbound
This paper cites Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:00:56.735409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27186558-5ee5-4af0-94bb-81dbcc107fab · outbound
This paper cites an unresolved cited work.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:00:58.647750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 97554f1c-c8e2-4396-836c-2d45edcf5eee · outbound
This paper cites an unresolved cited work.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:00:58.409740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eb835723-f3cc-4a5a-938d-438e417ddeae · outbound
This paper cites an unresolved cited work.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:00:58.210500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b8ede898-6dd1-47ef-96a0-c163b3ab5ef8 · outbound
This paper cites correctness.
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:00:58.050882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e48144f0-2ab9-45fb-90d8-86eebb6f50a8 · outbound
This paper cites In International Conference on Learning Representations.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents In International Conference on Learning Representations
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:00:59.845147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation daa47417-8c7c-49f4-8709-8bdd66ef4e04 · outbound
This paper cites Advances in Neural Information Pro- cessing Systems, 36:46595–46623.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Advances in Neural Information Pro- cessing Systems, 36:46595–46623
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:00:59.407766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 82803e05-adef-47e4-97d3-62496c05490e · outbound
This paper cites https://github.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents https://github
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:00:56.054221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dde05f2d-f7b4-4d0d-9660-c04418cba721 · outbound
This paper cites GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation.
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:00:56.113141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation e2c1e0eb-253e-437b-ba48-d56990a7624b · inbound
OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning cites this paper.
OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:15:48.624800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a1a5c31f-b2d1-4d79-ac21-ef82865b8c0b · inbound
OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning cites this paper.
OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:27:24.604139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5875d3a8-1187-4099-a349-9a4a1244a743 · inbound
OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning cites this paper.
OpsLLM: Construction of Large Language Model for Software Operations with Multi-stage Learning Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:30:33.667986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.