Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:36.974866Z
Paper Citation Record · LEDGER
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation
As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.24745.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved28
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ccad4f91-e86e-430a-9a23-2ffc211caca3 · outbound
This paper cites org/CorpusID:268232499.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation org/CorpusID:268232499
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:33.976786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d14ea9fc-2c69-4de1-a8a2-5e19ec7c4b9d · outbound
This paper cites GPT-4 Technical Report.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation GPT-4 Technical Report
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.031798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1516fc05-bdfd-4869-848d-0a796456aabb · outbound
This paper cites DocFormerv2: Local Features for Document Understanding.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation DocFormerv2: Local Features for Document Understanding
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.132800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec372557-ccdf-4fd0-943d-0645bc8f06e0 · outbound
This paper cites In: Proceedings of the AAAI conference on artificial intelligence.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: Proceedings of the AAAI conference on artificial intelligence
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.220558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a76ad1d2-7d63-4ae5-a3ab-6653846bfc01 · outbound
This paper cites Qwen2.5-VL Technical Report.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Qwen2.5-VL Technical Report
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.356934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7504eafc-1175-42ff-8cd0-a8f38d45eca3 · outbound
This paper cites Key Information Extraction From Documents: Evaluation And Generator.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Key Information Extraction From Documents: Evaluation And Generator
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.519684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08e51205-0894-4c73-ba4a-45cd5abd03ea · outbound
This paper cites an unresolved cited work.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.659519Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f6a528c-8557-439a-92dc-cbc943df0df5 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.723597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b93c9237-615b-4c17-aaef-1813857f4405 · outbound
This paper cites In: Machine Learning for Health (ML4H).
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: Machine Learning for Health (ML4H)
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.851639Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38a3c87b-dc6f-4549-9f4e-b64cea130a23 · outbound
This paper cites Neural Comput.9(8), 1735–1780 (Nov 1997).https://doi.org/10.1162/neco.1997.9.8.1735,https: //doi.org/10.1162/neco.1997.9.8.1735.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Neural Comput.9(8), 1735–1780 (Nov 1997).https://doi.org/10.1162/neco.1997.9.8.1735,https: //doi.org/10.1162/neco.1997.9.8.1735
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:34.951527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83b5c516-afb7-4887-ab32-75712156df3c · outbound
This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: Proceedings of the 30th ACM International Conference on Multimedia
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.036711Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b040e7fd-00db-424f-86d8-6a1cfcac1b2f · outbound
This paper cites In: 2019 International Conference on Document Analysis and Recognition (ICDAR).
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: 2019 International Conference on Document Analysis and Recognition (ICDAR)
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.158719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8eb0a52-252a-4d9d-89c7-50919839c55c · outbound
This paper cites FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.255954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b13461c2-d67f-4300-a57f-b355e72bda45 · outbound
This paper cites In: Al-Onaizan, Y., Bansal, M., Chen, Y.N.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: Al-Onaizan, Y., Bansal, M., Chen, Y.N
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.338864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abbc52e3-a352-43e6-8e07-7a9f17986e61 · outbound
This paper cites Advances in neural information processing systems36, 34892–34916 (2023).
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Advances in neural information processing systems36, 34892–34916 (2023)
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.385996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2774c8d8-9c4f-4ac0-b7c5-6e6d4d973c7e · outbound
This paper cites DocVQA: A Dataset for VQA on Document Images.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation DocVQA: A Dataset for VQA on Document Images
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.492534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce9ca04d-1931-48b9-ba61-67d6138111c7 · outbound
This paper cites an unresolved cited work.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Unresolved cited work
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.596765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 251cd4e5-8a07-4774-8531-457b48e8f009 · outbound
This paper cites In: International Conference on Document Analysis and Recognition.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: International Conference on Document Analysis and Recognition
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.679001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffed1b45-4cb9-4e29-a225-d9e45a52cb27 · outbound
This paper cites An Introduction to Convolutional Neural Networks.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation An Introduction to Convolutional Neural Networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:35.815071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 518b1a93-616b-4e75-807a-ea58a6bbf8e3 · outbound
This paper cites International Journal of Innovative Technology and Exploring Engineering8, 1613–1617 (07 2019).https://doi.org/10.35940/ijitee.I8156.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation International Journal of Innovative Technology and Exploring Engineering8, 1613–1617 (07 2019).https://doi.org/10.35940/ijitee.I8156
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-02T14:43:31.857149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c132b4f4-d694-4266-9525-e4320a8dfc97 · outbound
This paper cites In: Workshop on Document Intelli- gence at NeurIPS 2019 (2019),https://openreview.net/forum?id=SJl3z659UH.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: Workshop on Document Intelli- gence at NeurIPS 2019 (2019),https://openreview.net/forum?id=SJl3z659UH
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.113847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d430e2c-5404-4cfa-8266-e28377c4be7f · outbound
This paper cites Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.213882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3eb994c-add7-4b04-bba3-9c83fca6710e · outbound
This paper cites In: International Conference of the Cross- LanguageEvaluationForumforEuropeanLanguages.pp.105–117.Springer(2022).
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: International Conference of the Cross- LanguageEvaluationForumforEuropeanLanguages.pp.105–117.Springer(2022)
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.323568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87577943-a1d4-442d-ba31-3cbe70f8c0bd · outbound
This paper cites Unifying Vision, Text, and Layout for Universal Document Processing.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Unifying Vision, Text, and Layout for Universal Document Processing
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.430189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebde999f-0b38-4bf6-acfa-eb8876fc9680 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Gemini: A Family of Highly Capable Multimodal Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.525455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64069467-1b88-415a-8ee6-16637554a77a · outbound
This paper cites an unresolved cited work.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.611911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e3eaee2-2b43-4485-8c4c-cf62fbf23850 · outbound
This paper cites LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.756737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a10005f8-6cce-4b94-9435-ee1ac4ba086e · outbound
This paper cites In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.891113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 047e255a-2494-4878-80a9-4fb570e82bef · outbound
This paper cites Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.
DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:38:36.974866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.