Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T15:29:50.953573Z
Paper Citation Record · LEDGER
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization
As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2601.21458.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
30 of 30 outbound references displayed
- verified exact0
- verified fuzzy28
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c5e3216e-e258-456b-9b7d-18397bf9417e · outbound
This paper cites MesoNet: a Compact Facial Video Forgery Detection Network.IEEE International Workshop on Information Forensics and Security.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization MesoNet: a Compact Facial Video Forgery Detection Network.IEEE International Workshop on Information Forensics and Security
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.130637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 536ca7bd-b3c7-4f59-b8ea-3f005ab070ff · outbound
This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.Advances in Neural Information Processing Systems.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.Advances in Neural Information Processing Systems
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.127793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 98837b54-9a0c-44b0-9ac5-16bb236a0096 · outbound
This paper cites Do You Re- ally Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Do You Re- ally Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.119805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ad7a7483-1673-43a2-953b-89dada02d738 · outbound
This paper cites Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and lo- calization.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and lo- calization
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.078013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b1f19a49-afce-4e02-a51d-c650a6d7f693 · outbound
This paper cites A V-Deepfake1M: A Large- Scale LLM-Driven Audio-Visual Deepfake Dataset.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization A V-Deepfake1M: A Large- Scale LLM-Driven Audio-Visual Deepfake Dataset
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.138427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 91d4a18b-61f2-4cd7-a108-2174e2d46f07 · outbound
This paper cites Full-Stage Pseudo Label Quality Enhancement for Weakly-Supervised Tem- poral Action Localization.IEEE Transactions on Circuits and Systems for Video Technology.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Full-Stage Pseudo Label Quality Enhancement for Weakly-Supervised Tem- poral Action Localization.IEEE Transactions on Circuits and Systems for Video Technology
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.075328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9bfbfae6-b22d-48c1-ac7d-df5cc59d660c · outbound
This paper cites Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.136001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f4904be3-fe72-4b80-b36f-dce9e6d2801a · outbound
This paper cites Towards Open- world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Towards Open- world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.114595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1bc0a2bd-3acd-4355-995f-09d5e17ac6af · outbound
This paper cites Masked Autoencoders Are Scalable Vision Learners.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Masked Autoencoders Are Scalable Vision Learners
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.107825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6b1aeb8a-ec36-4d41-87ed-cd936af465d5 · outbound
This paper cites Masked Au- toencoders that Listen.Advances in Neural Information Processing Systems.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Masked Au- toencoders that Listen.Advances in Neural Information Processing Systems
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.112308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b5df04ce-6590-413b-b292-4cb2a3bcc719 · outbound
This paper cites In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking.IEEE International Workshop on Information Forensics and Security.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking.IEEE International Workshop on Information Forensics and Security
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.117622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6a33d4e9-63c7-4a27-a84d-6c7c89202b8c · outbound
This paper cites Multilevel semantic and adaptive actionness learning for weakly supervised tem- poral action localization.Neural Networks.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Multilevel semantic and adaptive actionness learning for weakly supervised tem- poral action localization.Neural Networks
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.122409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1d908d3b-c625-47b1-ab9a-e9c8a306622a · outbound
This paper cites Audio-Visual Tem- poral Forgery Detection Using Embedding-Level Fusion and Multi-Dimensional Contrastive Loss.IEEE Trans- actions on Circuits and Systems for Video Technology.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Audio-Visual Tem- poral Forgery Detection Using Embedding-Level Fusion and Multi-Dimensional Contrastive Loss.IEEE Trans- actions on Circuits and Systems for Video Technology
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.133440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 962dbc16-5193-4696-ae67-62f991a4d03c · outbound
This paper cites DomainForensics: Exposing Face Forgery Across Domains via Bi-Directional Adaptation.IEEE Transactions on Information Forensics and Security.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization DomainForensics: Exposing Face Forgery Across Domains via Bi-Directional Adaptation.IEEE Transactions on Information Forensics and Security
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.103246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 60208228-c9ae-4ba7-b052-4022ccbab483 · outbound
This paper cites DiR- Loc: Disentanglement Representation Learning for Ro- bust Image Forgery Localization.IEEE Transactions on Dependable and Secure Computing.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization DiR- Loc: Disentanglement Representation Learning for Ro- bust Image Forgery Localization.IEEE Transactions on Dependable and Secure Computing
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.092957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f30b31dd-e211-4b35-b949-087101c5d537 · outbound
This paper cites SUMI- IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization SUMI- IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.105453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aca45e6c-3d61-45e5-805d-ca96042a6239 · outbound
This paper cites TriDet: Temporal Action Detection with Relative Bound- ary Modeling.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization TriDet: Temporal Action Detection with Relative Bound- ary Modeling
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.083155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 117e8ef5-065b-4b6d-af83-3119fc4d22d0 · outbound
This paper cites VideoMae: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training.Advances in Neural Information Processing Systems.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization VideoMae: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training.Advances in Neural Information Processing Systems
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.062513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation edf769d9-6c75-4465-81f2-d021dba2dc51 · outbound
This paper cites Temporal Action Localization in the Deep Learning Era: A Sur- vey.IEEE Transactions on Pattern Analysis and Machine Intelligence.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Temporal Action Localization in the Deep Learning Era: A Sur- vey.IEEE Transactions on Pattern Analysis and Machine Intelligence
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.059570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dae13bf4-569c-4bab-9c7e-81509f251765 · outbound
This paper cites Weakly-Supervised Action Lo- calization by Hierarchically-structured Latent Attention Modeling.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Weakly-Supervised Action Lo- calization by Hierarchically-structured Latent Attention Modeling
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.095469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 75988580-5031-420c-90e1-2bd9701029c4 · outbound
This paper cites Temporal Segment Networks for Action Recognition in Videos.IEEE Transactions on Pattern Analysis and Machine Intelligence.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Temporal Segment Networks for Action Recognition in Videos.IEEE Transactions on Pattern Analysis and Machine Intelligence
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.087980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 20ab1536-80e2-4750-bf02-694b759a85ed · outbound
This paper cites Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.064946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3fc60a4f-6fa9-4270-a0b7-cf707542ad3e · outbound
This paper cites Dynamic Difference Learning With Spatio–Temporal Correlation for Deep- fake Video Detection.IEEE Transactions on Information Forensics and Security.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Dynamic Difference Learning With Spatio–Temporal Correlation for Deep- fake Video Detection.IEEE Transactions on Information Forensics and Security
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.100774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ae4baad-76a2-4c61-8b10-400eb5442a29 · outbound
This paper cites an unresolved cited work.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T15:30:18.097750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dd7271f2-61ef-4378-9e5f-9e0e86e508b2 · outbound
This paper cites CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.080375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4d9793b2-bc25-4db0-9903-8834e2c0c641 · outbound
This paper cites ActionFormer: Localizing Moments of Actions with Transformers.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization ActionFormer: Localizing Moments of Actions with Transformers
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.072874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation eb7e6ac8-f491-4131-9cc9-d8b63a57dd96 · outbound
This paper cites an unresolved cited work.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T15:30:18.069780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5556720a-2c78-42fd-8323-43a44a42c06e · outbound
This paper cites UMMAFormer: A Universal Multimodal-adaptive Trans- former Framework for Temporal Forgery Localization.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization UMMAFormer: A Universal Multimodal-adaptive Trans- former Framework for Temporal Forgery Localization
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.067304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation afea50b2-ad5e-402e-99cf-8e8043db1c64 · outbound
This paper cites MFMS: Learning Modality-Fused and Modality-Specific Features for Deepfake Detection and Localization Tasks.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization MFMS: Learning Modality-Fused and Modality-Specific Features for Deepfake Detection and Localization Tasks
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.090536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1442ce33-132c-43ee-84fd-326b5f548bad · outbound
This paper cites Fine-grained open-set deepfake detection via unsupervised domain adaptation.IEEE Transactions on Information Forensics and Security.
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization Fine-grained open-set deepfake detection via unsupervised domain adaptation.IEEE Transactions on Information Forensics and Security
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T15:30:18.085396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.