Paper Citation Record · LEDGER

DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation

As of 8 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.

pith.paper-citation-record.v1
2607.24745 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:36.974866Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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 2026-08-08T06:32:00.761636+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.