Paper Citation Record · LEDGER

Enhancing Document VQA Models via Retrieval-Augmented Generation

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2508.18984.

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

pith.paper-citation-record.v1
2508.18984 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:05:56.757356Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:54:03.390655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:56:01.593018Z

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy12
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d68244c-9be7-4174-afa0-69de9f55b2fb · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.413784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8da810da-1b9a-469a-8645-b8d9bdfcb9f7 · outbound

This paper cites Proceedings of the AAAI ConferenceonArtificialIntelligence 38(2),709–718(Mar2024).

Enhancing Document VQA Models via Retrieval-Augmented Generation Proceedings of the AAAI ConferenceonArtificialIntelligence 38(2),709–718(Mar2024)

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T16:05:56.795261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 955a6027-0e5b-4581-b998-575a57479053 · outbound

This paper cites Qwen2.5-VL Technical Report.

Enhancing Document VQA Models via Retrieval-Augmented Generation Qwen2.5-VL Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.669794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb763c57-bc83-4dd2-bb04-af1d0f164230 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Enhancing Document VQA Models via Retrieval-Augmented Generation PaliGemma: A versatile 3B VLM for transfer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.674039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92258723-cadd-4b33-adb2-c60619525daf · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.677655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5cc4e8f-657a-4de4-8e4b-a56cd0b033e6 · outbound

This paper cites an unresolved cited work.

Enhancing Document VQA Models via Retrieval-Augmented Generation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:05:57.403932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01d461df-9316-4164-aa38-c67310909a02 · outbound

This paper cites an unresolved cited work.

Enhancing Document VQA Models via Retrieval-Augmented Generation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:05:57.393768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a632f124-0f69-41ae-b664-21a112b970ad · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.383299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94ef4f1d-fa65-4a7b-b630-fb66cbd9d69e · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.371767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3236378f-1900-4b5e-a195-5e011cc1b504 · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.695037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8806abac-a8aa-4457-b10b-943d8aed23cd · outbound

This paper cites Efficient Natural Language Response Suggestion for Smart Reply.

Enhancing Document VQA Models via Retrieval-Augmented Generation Efficient Natural Language Response Suggestion for Smart Reply

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.698517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2324a4-3296-44be-86c2-b0750a6b8b03 · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.359734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6851dd86-42e2-45cf-8e8d-e00bf0fb2a87 · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.348514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f74f966b-8219-4d5a-8b14-379384b65c5f · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.708384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aaa0a39-ca35-4060-9483-5b170166240a · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.336748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adb60cf7-ba12-4ee3-a59f-e62fabd39eb4 · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.325801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a39d9a7-a7bc-4894-81a6-95ca065b22ff · outbound

This paper cites an unresolved cited work.

Enhancing Document VQA Models via Retrieval-Augmented Generation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:05:57.315328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40607a46-7e55-4372-b053-270229c2299a · outbound

This paper cites In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.305072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58839bc9-5f6f-4da6-9b2f-be8e7018075c · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.295106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e73bd093-03f3-4aa3-a5eb-be74a24a58ac · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Reference 20

Resolution: malformed identifier; no resolver link, observed 2026-08-05T16:05:56.727559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf91c0d-5cf3-4d6b-b09e-8d38eed801ef · outbound

This paper cites Journal of Machine Learning Research21(140), 1–67 (2020).

Enhancing Document VQA Models via Retrieval-Augmented Generation Journal of Machine Learning Research21(140), 1–67 (2020)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.730667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bbb803e-bfdb-4864-b7ba-c78a89ee0bdb · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.277900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f781ce0-c820-435b-ad4d-18389c747754 · outbound

This paper cites Pattern Recognition144, 109834 (2023).

Enhancing Document VQA Models via Retrieval-Augmented Generation Pattern Recognition144, 109834 (2023)

Reference 23

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T16:05:56.974181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0297e686-d812-48c6-825e-4c482486bd6f · outbound

This paper cites S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis.

Enhancing Document VQA Models via Retrieval-Augmented Generation S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.740055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe31a1f4-9f4d-4503-8ff0-9d8a71e762fd · outbound

This paper cites DocLLM: A layout-aware generative language model for multimodal document understanding.

Enhancing Document VQA Models via Retrieval-Augmented Generation DocLLM: A layout-aware generative language model for multimodal document understanding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.743619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81a91b1d-81e2-4b6b-a2f1-546bde813f71 · outbound

This paper cites López et al.

Enhancing Document VQA Models via Retrieval-Augmented Generation López et al

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.267838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0cd061ca-b3b9-444b-bdd4-a1ec33712546 · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:05:57.257065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f89e2fb-6e89-4158-8bc7-55c4b1d84ae6 · outbound

This paper cites In: Proc.

Enhancing Document VQA Models via Retrieval-Augmented Generation In: Proc

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.754208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef01e336-adda-4510-91a5-7a3d276f11cb · outbound

This paper cites DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception.

Enhancing Document VQA Models via Retrieval-Augmented Generation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T16:05:56.757356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1979a8c7-15ed-4609-82ce-38b0744388c8 · inbound

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding cites this paper.

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding Enhancing Document VQA Models via Retrieval-Augmented Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:56:01.595830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.