Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T20:21:25.433389Z
Paper Citation Record · LEDGER
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
As of 3 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2604.04634.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:38:46.928546Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
19 of 19 outbound references displayed
- verified exact1
- verified fuzzy8
- unresolved7
- parse uncertain0
- malformed identifier2
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 18ca1c4c-653f-4195-a0c5-11cb76b3b43b · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:42:05.623155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 689759ea-141b-41fb-9e98-8e9f569e3e96 · outbound
This paper cites Vbench++: Comprehensive and versatile benchmark suite for video generative models.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Vbench++: Comprehensive and versatile benchmark suite for video generative models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.591470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ef1fb604-369e-49f9-a5f9-59df9dfa9243 · outbound
This paper cites Stiv: Scalable text and image conditioned video generation.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Stiv: Scalable text and image conditioned video generation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.604947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 66245739-8d28-4411-a908-c910bdcf76aa · outbound
This paper cites Towards universal fake image detectors that generalize across generative models.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Towards universal fake image detectors that generalize across generative models
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.627683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 338a597b-53a2-4eda-a2c2-720a17b6499e · outbound
This paper cites Roformer: En- hanced transformer with rotary position embedding.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Roformer: En- hanced transformer with rotary position embedding
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.611819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 91b720a6-8e72-45e2-bba0-150a98163e23 · outbound
This paper cites MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T20:25:46.030366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 564421b3-3cf4-48d8-87b0-1470346694aa · outbound
This paper cites Qwen2.5 Technical Report.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Qwen2.5 Technical Report
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T22:00:48.541550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cc8c4b22-8922-4ce2-be55-7b7ac0fd1b70 · outbound
This paper cites • Section B: Cross-validation experiment.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale • Section B: Cross-validation experiment
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.618508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 40e5d78d-98a7-4c09-b55b-179750afa2dd · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:42:05.607162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a57a4b8a-4682-40c1-a94f-70f5081106f2 · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:42:05.615999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation eb3c800d-c72c-4ad6-b23a-a7cd0209eaa3 · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 11
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-16T01:42:05.602719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 229fbbf6-257d-4954-ad14-0763dd7ff191 · outbound
This paper cites A.1 TRAININGSET.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale A.1 TRAININGSET
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.613885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 545a91b4-23b4-476d-beac-e24dff05b2f6 · outbound
This paper cites The models differ significantly in training methodology, data scale, output resolution, and video duration, contributing to a richly diverse training set.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale The models differ significantly in training methodology, data scale, output resolution, and video duration, contributing to a richly diverse training set
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.609533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 89181653-34fd-40b2-8c37-640a475d1ede · outbound
This paper cites These videos are pro- vided at resolutions up to 1080p to ensure both high fidelity and content diversity.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale These videos are pro- vided at resolutions up to 1080p to ensure both high fidelity and content diversity
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:42:05.621018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2795c819-86a0-4c6b-a02b-a15d35f5608c · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:42:05.625424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 731eea59-ff4b-4767-a3bc-550e607d6583 · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:42:05.598573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0a048b6a-295d-4e19-89de-48fb860a8e85 · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:42:05.600497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 64ac9546-970c-44b9-a840-5f3a613d4255 · outbound
This paper cites Since the cross-validation data is directly sampled from VBench’s evaluation set, the VBench scores pro- vide an accurate proxy for the generation quality of each subset.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Since the cross-validation data is directly sampled from VBench’s evaluation set, the VBench scores pro- vide an accurate proxy for the generation quality of each subset
Reference 18
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-16T01:42:05.596327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 74250d60-4da0-4dfc-8ecc-4deb45bd3f21 · outbound
This paper cites an unresolved cited work.
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:42:05.594008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
Observation 9bca872c-5f01-429f-8ed1-c7d40eec634c · inbound
G2VD: Generalizable AI-Generated Video Detection via Counterfactual Intervention and Causal Disentanglement cites this paper.
G2VD: Generalizable AI-Generated Video Detection via Counterfactual Intervention and Causal Disentanglement Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:38:46.928546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.