Paper Citation Record · LEDGER

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.12490.

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

pith.paper-citation-record.v1
2507.12490 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:07:54.402782Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

22 of 22 outbound references displayed

verified exact2
verified fuzzy11
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f40e080-bd1d-4602-a9a9-299172ff8252 · outbound

This paper cites In: Proceedin gs of the IEEE/CVF international conference on computer vision.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: Proceedin gs of the IEEE/CVF international conference on computer vision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:56.878906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49e34a29-2d3c-479a-9316-6c6c8e621f93 · outbound

This paper cites 4290–4300.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering 4290–4300

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:52.513301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792ca61a-d574-44fc-bbd4-8aa07850e039 · outbound

This paper cites Pattern Recognition Letters 150, 242–249 (2021).

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering Pattern Recognition Letters 150, 242–249 (2021)

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T17:07:54.543867Z

Source-reported events for the cited work

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Observation 1e4266db-48e4-4e6e-90ed-a8f540d82797 · outbound

This paper cites mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:52.666510Z

Source-reported events for the cited work

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Observation 57f7fc36-5dae-4faa-aa87-e576c9420f82 · outbound

This paper cites In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR).

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:52.747544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b80b483-998d-4af9-8f1a-fd14e141652a · outbound

This paper cites , Le, Q., Sung, Y.H., Li, Z., Duerig, T.: Scaling up visual and vision-langu age representation learning with noisy text supervision.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering , Le, Q., Sung, Y.H., Li, Z., Duerig, T.: Scaling up visual and vision-langu age representation learning with noisy text supervision

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:56.649166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe155ab4-0f54-40be-aba1-65d4068bdd88 · outbound

This paper cites In: European Conference on Computer Vision.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: European Conference on Computer Vision

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:56.509448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2033bde0-f91e-484d-80fe-e51dd8abe144 · outbound

This paper cites In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlet t, J.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlet t, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:56.395421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63e3231a-10b2-406a-aa7c-06d68f5fc3de · outbound

This paper cites In: Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:56.258565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64518d66-6287-431b-bb90-c0e23b7515cb · outbound

This paper cites Multimodal Rationales for Explainable Visual Question Answering.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering Multimodal Rationales for Explainable Visual Question Answering

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:07:54.956540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43fea144-a5dd-4d2c-8b09-ac79d5b0b30b · outbound

This paper cites In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:56.118590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 604c8031-6688-4ef7-9f19-cd35ea01d861 · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference o n applications of computer vision.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: Proceedings of the IEEE/CVF winter conference o n applications of computer vision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:55.976919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8fcff72-8148-4bbc-8735-301968efb62e · outbound

This paper cites DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:53.544005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32de7c0-4fbb-423c-8390-52f65fd8c9d4 · outbound

This paper cites , Pietruszka, M., Pałka, G.: Going full-tilt boogie on document understanding with t ext-image-layout trans- former.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering , Pietruszka, M., Pałka, G.: Going full-tilt boogie on document understanding with t ext-image-layout trans- former

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:55.852534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 75f70c2c-573a-45c4-aa15-8ff741b25099 · outbound

This paper cites In: Meila , M., Zhang, T.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: Meila , M., Zhang, T

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:55.576413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f96db652-053a-411e-b546-c39eb88f723c · outbound

This paper cites an unresolved cited work.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:07:55.747430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b65e2db-c640-4bb8-8cb1-04bb8cdf930f · outbound

This paper cites In: 2019 IEEE/CVF Conference on Computer Vi sion and Pattern Recognition (CVPR).

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: 2019 IEEE/CVF Conference on Computer Vi sion and Pattern Recognition (CVPR)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:53.924438Z

Source-reported events for the cited work

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Observation e0075ca2-de6a-4548-8926-de07ac41acc3 · outbound

This paper cites I n: International Confer- ence on Document Analysis and Recognition.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering I n: International Confer- ence on Document Analysis and Recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:55.448109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41c2d7c5-b59b-4419-b8d9-31c5b137352a · outbound

This paper cites In: 2017 IEEE International Conference on Computer Vision (ICC V).

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: 2017 IEEE International Conference on Computer Vision (ICC V)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:54.117543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e6df6a-3035-4fc7-ae12-9fe0bf21b657 · outbound

This paper cites In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recogni tion (CVPR).

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recogni tion (CVPR)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:54.246311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45eb9f88-24a5-4f21-9c0a-c4f896218a83 · outbound

This paper cites In: Proceedings of the 26th ACM SIGKDD International Confer - ence on Knowledge Discovery & Data Mining.

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: Proceedings of the 26th ACM SIGKDD International Confer - ence on Knowledge Discovery & Data Mining

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:54.339787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf8540d-5b29-4241-8ae6-4ecb408f8a18 · outbound

This paper cites In: The E leventh International Conference on Learning Representations (2022).

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering In: The E leventh International Conference on Learning Representations (2022)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:55.243516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.