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Paper Citation Record · LEDGER

Detecting Multimedia Generated by Large AI Models: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.00045.

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

pith.paper-citation-record.v1
2402.00045 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:22.398590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:45:48.500080Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 d5bd5c36-2147-4430-9236-d04ba2567d70 · inbound

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM cites this paper.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detecting Multimedia Generated by Large AI Models: A Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T21:12:22.398590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:12:22.398590Z digest=sha256:2f3821d9333282124a2abb307673d1c1ddeea92408aefeabc957caae972c6f29

Observation 087827b0-039e-419f-9c50-78a2dac444ba · inbound

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection cites this paper.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Detecting Multimedia Generated by Large AI Models: A Survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T10:26:06.910876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:26:06.910876Z digest=sha256:658c0243dce257ee217b75d95471d00402268c21b3e68b8d5c6d2b04e444d3c1

Observation e3cdb064-4c79-422c-bb06-3890982c06d3 · inbound

Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges cites this paper.

Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges Detecting Multimedia Generated by Large AI Models: A Survey

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.368154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T03:10:30.692394Z digest=sha256:a698c184115a381f85288598bfca10346d3b7c3fa1b3539cc57d7cf110b66394

Observation 65b031cd-0723-47fe-9550-264ae1bac322 · inbound

Rethinking Individual Fairness in Deepfake Detection cites this paper.

Rethinking Individual Fairness in Deepfake Detection Detecting Multimedia Generated by Large AI Models: A Survey

Reference 42

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unresolved
no resolver link, observed 2026-08-06T16:12:08.101157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:08.101157Z digest=sha256:6f8f4bd2d36884f48222a7b1e5660e8eb18bfee4b4d0a5005ce9c7dc2b5116c9

Observation d13c3147-e6d9-411b-812d-b3b6fcc18b68 · inbound

Modeling Human Responses to Multimodal AI Content cites this paper.

Modeling Human Responses to Multimodal AI Content Detecting Multimedia Generated by Large AI Models: A Survey

Reference 49

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unresolved
no resolver link, observed 2026-08-05T20:20:12.629516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:20:12.629516Z digest=sha256:eb1b6d173614a1fbef7e7d3c92258f2ed150d78e5f674be9f8e48726848ff974

Observation e8fbe718-605f-4233-b034-9121cc015ad4 · inbound

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences cites this paper.

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences Detecting Multimedia Generated by Large AI Models: A Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:40.130577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:40.130577Z digest=sha256:b7cf1945da15dd6a2165515ec164fd2af5483acdd443d43b654059740ff6d09d

Observation 750526d9-08f9-48d9-a637-00b5bf7a07f6 · inbound

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization cites this paper.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Detecting Multimedia Generated by Large AI Models: A Survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:28.646194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:28.646194Z digest=sha256:09c1b349b4b49092f2fde869fe3e3a93336f9bd145dba89e633f33df54ec06c1

Observation 66f19aa5-c84e-46b5-b179-439e27caf16f · inbound

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? cites this paper.

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? Detecting Multimedia Generated by Large AI Models: A Survey

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:48:34.517769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T21:46:43.353305Z digest=sha256:8fd5fff5ba40beae74b7023403aefa5de5ac25d6743786fc2271ba43585e3cb3

Observation 1be9fc5a-7355-4f0f-bf85-d733016c3a74 · inbound

XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deception cites this paper.

XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deception Detecting Multimedia Generated by Large AI Models: A Survey

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:40:00.510405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T10:39:09.209094Z digest=sha256:b1f31c8cb8f357c1165fbbe94f8ece1451c2b501eec05accf50a61417bf153d6

Observation 485a876b-58b0-46c2-96c9-69115b5e7a02 · inbound

Beyond Semantics: Uncovering the Physics of Fakes via Universal Physical Descriptors for Cross-Modal Synthetic Detection cites this paper.

Beyond Semantics: Uncovering the Physics of Fakes via Universal Physical Descriptors for Cross-Modal Synthetic Detection Detecting Multimedia Generated by Large AI Models: A Survey

Reference 14

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metadata mismatch
arxiv_id, observed 2026-05-10T23:45:53.248431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:52:34.752473Z digest=sha256:c9c9afeb294193309ff7527451218e9132596a95f350840e03debd92abb7edd6

Observation 127e103b-55cd-4534-8cc7-14e36b802db3 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Detecting Multimedia Generated by Large AI Models: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:19.482743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T11:22:31.988852Z digest=sha256:6c8290b841dbef68730f20a6ce5be92950efd85b5650e299fb03fbefedb1abbf

Observation e4f01c0e-596c-4dd7-92b1-37fb9c32138f · inbound

The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation cites this paper.

The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation Detecting Multimedia Generated by Large AI Models: A Survey

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:51:01.931548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T12:31:10.175160Z digest=sha256:32eb6923a8f5b37f54ca0ef38ac4c081698f35d3bea697b627dcd492a9a46111

Observation 127cae39-8c86-4104-88d1-e95664fa78b7 · inbound

Towards multi-modal forgery representation learning for AI-generated video detection and localization cites this paper.

Towards multi-modal forgery representation learning for AI-generated video detection and localization Detecting Multimedia Generated by Large AI Models: A Survey

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.200579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:00:56.951599Z digest=sha256:39589ec8a943d370909961691945931471e375696a650f4d6790a8533c27bb5e

Observation e445a2eb-55e0-482d-85b9-6983b0648006 · inbound

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images cites this paper.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Detecting Multimedia Generated by Large AI Models: A Survey

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.501473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T01:08:22.794058Z digest=sha256:520c5b335bc0fbceb46b8a177bae983bc49c1cb800431db031719e04581ae6c5

Observation 92fdc97a-8ed7-482f-941a-17ef226e3424 · inbound

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection cites this paper.

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection Detecting Multimedia Generated by Large AI Models: A Survey

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-12T05:07:18.364787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:07:18.364787Z digest=sha256:1b02b7c817b534a78a0b0ce2845d21df9140e7eaf68b8f1fb8f5e2a15f5581ba