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Paper Citation Record · LEDGER

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.02761.

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

pith.paper-citation-record.v1
2410.02761 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:51:35.561166Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:06.975646Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cd8e89db-88be-43e1-8de1-5a72b9dc32ce · inbound

Toward Generalizable Forgery Detection and Reasoning cites this paper.

Toward Generalizable Forgery Detection and Reasoning FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:27:12.385538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T22:26:49.062978Z digest=sha256:afc4f9addaa39c35d67403e3617479a2eac569e1961210123f08e897c358b884

Observation 005d271a-24ed-49be-bee5-d1d446d37c24 · inbound

ImgEdit: A Unified Image Editing Dataset and Benchmark cites this paper.

ImgEdit: A Unified Image Editing Dataset and Benchmark FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:17:45.407699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T18:17:45.123690Z digest=sha256:6dbd0d6ab36cb19a488841ab898e41d72cfbb5f2bada6b82690f8c03f1f42ecb

Observation e66e89f4-d440-4e3e-b524-5e817001d8cf · inbound

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images cites this paper.

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.396809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T10:13:08.112072Z digest=sha256:45ebe22e165d034ba323c3d0cf635449a6a3c5c43f312f396414917699e30e67

Observation a89a5bee-50ef-413b-8943-a2fbb685cd4e · inbound

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning cites this paper.

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-21T16:44:15.981166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T16:43:11.995960Z digest=sha256:1dc0aae1259247ddd1589a7ad3a8b7f1931e07841fd57cc7a63c164980aecb67

Observation 16cde057-80c5-4e58-a711-67a9a463ca5d · inbound

VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection cites this paper.

VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-07-13T20:48:11.937716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:48:11.937716Z digest=sha256:22dc4beb6989358c4787b1de59e53d065a3408149325bb49a7376048bc2af362

Observation bd99a927-0452-4651-8eaa-778ebaeca0f5 · inbound

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection cites this paper.

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:06:04.294489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T14:04:52.065878Z digest=sha256:b810e82277197b16f73fba4136692d88675aec111630fab1febd7e8519df6436

Observation eb3f9761-48be-4873-a4ef-b9ca3c2541ea · inbound

HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection cites this paper.

HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:53:51.120762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T18:51:53.451225Z digest=sha256:53d586c5818902e0514fc2ba2883cdf904addd6c86a427e353f47f21b198bee3

Observation 748d961b-87e0-4c69-974c-ba8c66d45ca4 · inbound

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection cites this paper.

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.077799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T07:59:44.436264Z digest=sha256:904b848c8103bcf421daa6fee27d4deedcb7d0f1288df450c61a5c926faa7974

Observation eab86270-b099-4c16-846f-bb893b612833 · inbound

CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection cites this paper.

CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:33:51.016531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T18:25:06.278124Z digest=sha256:c0e90097fd2c243d524724c8db43e38fcfc37d61ae38aaf7b1df43c933294f78

Observation 8e61b8ad-8c72-442b-baaf-9fb2561b130d · inbound

When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing cites this paper.

When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T17:07:13.145296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T22:08:57.792229Z digest=sha256:007679f09f590d017b06a1761098866c683bce97d27764b87eafb762c6a004ba

Observation 25af9c2e-bc8e-444c-b3fe-47649a9e759a · inbound

Text Over Image: Auditing Multimodal Robustness in Synthetic Medical Image Detection cites this paper.

Text Over Image: Auditing Multimodal Robustness in Synthetic Medical Image Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:40:06.978378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-25T21:06:50.675960Z digest=sha256:a67f527c347b683d9dc60a2f3a3192ff7f92ce229c3b816a459fab7f15581bf8

Observation 474e307a-d768-4004-a170-6097f800b6ac · inbound

Text Over Image: Auditing Multimodal Robustness in Synthetic Medical Image Detection cites this paper.

Text Over Image: Auditing Multimodal Robustness in Synthetic Medical Image Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:37:24.277064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T21:30:16.229864Z digest=sha256:1a842365af26d34855157bb40f798b27a2f37a33849f07c348a05fe5c84b6312

Observation 69da079a-2b1c-4132-974a-73982a8e90c3 · inbound

XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection cites this paper.

XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-12T01:35:43.979206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:35:43.979206Z digest=sha256:2834a9c44cae161615a6190e320837e992f6264133d991994ec29d9724832ddb

Observation b82256ba-5471-4d47-bc66-572e309952d2 · inbound

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System cites this paper.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T05:51:35.561166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:51:35.561166Z digest=sha256:9039e606a21d26ce05131ac7ce7609a2f348ad6d39869f801c902aa1c8e46038