Paper Citation Record · LEDGER

Verifying Cross-modal Entity Consistency in News using Vision-language Models

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2501.11403.

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

pith.paper-citation-record.v1
2501.11403 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:23:09.926126Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:22:43.617829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.904591Z

Reference resolution

40 of 40 outbound references displayed

verified exact6
verified fuzzy11
unresolved18
parse uncertain0
malformed identifier4
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0f99002-21c2-4cfe-8fd2-a413abacff9d · outbound

This paper cites In: IEEE/CVF Con- ference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: IEEE/CVF Con- ference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022

Reference 1

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Source-reported events for the cited work

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Observation f49ec8bc-d54a-4320-a79a-c137080cb855 · outbound

This paper cites ChartCheck: Explainable Fact-Checking over Real-World Chart Images.

Verifying Cross-modal Entity Consistency in News using Vision-language Models ChartCheck: Explainable Fact-Checking over Real-World Chart Images

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:23:09.751926Z

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Observation 4c0a86ba-d65d-4187-931d-a64e87d1e1a6 · outbound

This paper cites an unresolved cited work.

Verifying Cross-modal Entity Consistency in News using Vision-language Models Unresolved cited work

Reference 3

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Observation 6a9fdab3-59c4-4646-a04f-6ab7070a935f · outbound

This paper cites Routledge (2014).

Verifying Cross-modal Entity Consistency in News using Vision-language Models Routledge (2014)

Reference 4

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Observation a3eb337a-88b8-421f-93f1-da7d4cf3b23f · outbound

This paper cites Proceedings of SiKDD472 (2017).

Verifying Cross-modal Entity Consistency in News using Vision-language Models Proceedings of SiKDD472 (2017)

Reference 5

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Observation b1992a4b-d021-4ad2-b1c3-26d0ea4a8745 · outbound

This paper cites Frontiers in Artificial Intelligence6 (2023).

Verifying Cross-modal Entity Consistency in News using Vision-language Models Frontiers in Artificial Intelligence6 (2023)

Reference 6

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Source-reported events for the cited work

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Observation d956a084-0161-4ef7-a6b1-7fa00d16f823 · outbound

This paper cites Tahmasebi et al.

Verifying Cross-modal Entity Consistency in News using Vision-language Models Tahmasebi et al

Reference 7

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Observation 26b5191d-c336-4cec-a8b4-c4a74408fdea · outbound

This paper cites The Conversation 14, 1 (2020).

Verifying Cross-modal Entity Consistency in News using Vision-language Models The Conversation 14, 1 (2020)

Reference 8

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Observation 60491c7b-9773-4585-b26d-24bce9a80671 · outbound

This paper cites In: International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania, June 6-9, 2017.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania, June 6-9, 2017

Reference 9

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Observation f7b97e8a-85aa-4b27-9976-27b0a8d81ce7 · outbound

This paper cites To appear 7(1), 411–420 (2017).

Verifying Cross-modal Entity Consistency in News using Vision-language Models To appear 7(1), 411–420 (2017)

Reference 10

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Observation 2a831a7d-4bb9-4815-afa6-4cc6a62bf4c0 · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-10T18:23:10.935495Z

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Observation 99866e23-58a2-4531-83d5-71c6caf810cc · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

Verifying Cross-modal Entity Consistency in News using Vision-language Models MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 12

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Observation 3d9a4495-8276-4b24-bfa3-08859101b11b · outbound

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Verifying Cross-modal Entity Consistency in News using Vision-language Models Unresolved cited work

Reference 13

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Observation 7bc6873f-d7ba-4393-86cc-7bed03171c4d · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Verifying Cross-modal Entity Consistency in News using Vision-language Models SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 14

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Observation 18b6eadc-e5b7-47ed-a9d7-145624038e1f · outbound

This paper cites In: International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:23:11.268277Z

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Observation c5b11571-2612-4d10-82e9-0835ca4893f0 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Verifying Cross-modal Entity Consistency in News using Vision-language Models VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 16

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Observation bf8e5f7b-6ab6-4ea7-946c-ab8be5c413ca · outbound

This paper cites In: Annual Conference on Neural Information Processing Systems, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023),https://openreview.net/forum?id=w0H2xGHlkw.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: Annual Conference on Neural Information Processing Systems, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023),https://openreview.net/forum?id=w0H2xGHlkw

Reference 17

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Source-reported events for the cited work

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Observation bbb92b7d-ebeb-489a-b9bf-044d71a45a48 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Verifying Cross-modal Entity Consistency in News using Vision-language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 18

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Observation 2037b2f9-1a60-4f27-b708-2ce14bc70f3b · outbound

This paper cites In: Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Re- public, 7-11 November, 2021.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Re- public, 7-11 November, 2021

Reference 19

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Observation 21760ef2-20c5-4263-a056-a1a6679c29fa · outbound

This paper cites In: European Conference on Title Suppressed Due to Excessive Length 15 Computer Vision, ECCV 2018, Munich, Germany, September 8-14, 2018.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: European Conference on Title Suppressed Due to Excessive Length 15 Computer Vision, ECCV 2018, Munich, Germany, September 8-14, 2018

Reference 20

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Observation fa5ed51b-b6ce-452b-87cd-7ffa93243b02 · outbound

This paper cites an unresolved cited work.

Verifying Cross-modal Entity Consistency in News using Vision-language Models Unresolved cited work

Reference 21

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Observation 7b57e540-eb53-4d09-9a18-609accbcb1ba · outbound

This paper cites In: International Conference on Multimedia Retrieval, ICMR 2020, Dublin, Ireland, June 8-11, 2020.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: International Conference on Multimedia Retrieval, ICMR 2020, Dublin, Ireland, June 8-11, 2020

Reference 22

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Observation 3b420174-b466-4722-a1da-63580e4c520a · outbound

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Verifying Cross-modal Entity Consistency in News using Vision-language Models Unresolved cited work

Reference 23

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Observation c6dabdf7-2abd-43ee-b2c7-0dfc5f666396 · outbound

This paper cites In: International Conference on Multime- dia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: International Conference on Multime- dia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019

Reference 24

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Verifying Cross-modal Entity Consistency in News using Vision-language Models Unresolved cited work

Reference 25

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Observation 73e587b0-354a-4424-a775-9f4875d09068 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024

Reference 26

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This paper cites In: International Conference on Machine Learning, ICML 2021, Virtual Event, 18-24 July, 2021.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: International Conference on Machine Learning, ICML 2021, Virtual Event, 18-24 July, 2021

Reference 27

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Observation 0cb17e40-a966-4851-ae46-e97b2aa16eb3 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 40(5), 1072–1085 (2018).

Verifying Cross-modal Entity Consistency in News using Vision-language Models IEEE Transactions on Pattern Analysis and Machine Intelligence 40(5), 1072–1085 (2018)

Reference 28

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This paper cites In: ACM Multimedia Conference on Multimedia Confer- ence, MM 2018, Seoul, Republic of Korea, October 22-26, 2018.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: ACM Multimedia Conference on Multimedia Confer- ence, MM 2018, Seoul, Republic of Korea, October 22-26, 2018

Reference 29

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This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015

Reference 30

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This paper cites In: International Conference on Informa- tion and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21 – 25.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: International Conference on Informa- tion and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21 – 25

Reference 31

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This paper cites In: European Conference on Information Re- trieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: European Conference on Information Re- trieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II

Reference 32

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Observation 8c680eb3-dc4f-4086-907d-26040ac7acf7 · outbound

This paper cites Communications of the ACM57(10), 78–85 (2014).

Verifying Cross-modal Entity Consistency in News using Vision-language Models Communications of the ACM57(10), 78–85 (2014)

Reference 33

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Observation d8fbf5e8-8c9c-4833-9d1c-5fe202a2af4e · outbound

This paper cites In: Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020

Reference 34

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Observation 4bf8a21d-55ee-47e1-9789-ef5b356198c0 · outbound

This paper cites LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.

Verifying Cross-modal Entity Consistency in News using Vision-language Models LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Reference 35

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Verifying Cross-modal Entity Consistency in News using Vision-language Models A Survey on Multimodal Large Language Models

Reference 36

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This paper cites In: British Machine Vision Conference 2018, BMVC 2018, Newcastle, UK, September 3-6, 2018.

Verifying Cross-modal Entity Consistency in News using Vision-language Models In: British Machine Vision Conference 2018, BMVC 2018, Newcastle, UK, September 3-6, 2018

Reference 37

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Observation 1abd12b6-c6a7-4544-b257-458547e2c631 · outbound

This paper cites ACM Computing Surveys51(2), 32:1–32:36 (2018).

Verifying Cross-modal Entity Consistency in News using Vision-language Models ACM Computing Surveys51(2), 32:1–32:36 (2018)

Reference 38

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Observation c6cb5f43-1fd5-4f24-a9de-9aa499af071b · outbound

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Reference 592

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Observation f190dce0-502b-407f-8c6b-0f9d74452233 · outbound

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Verifying Cross-modal Entity Consistency in News using Vision-language Models 2189–2199

Reference 2024

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Pith citing papers

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COVE: COntext and VEracity prediction for out-of-context images cites this paper.

COVE: COntext and VEracity prediction for out-of-context images Verifying Cross-modal Entity Consistency in News using Vision-language Models

Reference 45

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Observation 68c6b9c8-872f-4124-83f1-afdb874fbf8d · inbound

The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking cites this paper.

The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking Verifying Cross-modal Entity Consistency in News using Vision-language Models

Reference 58

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