Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:36.420554Z
Paper Citation Record · LEDGER
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2506.08493.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:40:51.554150Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7d3a8f7b-396a-4f94-8ff5-590e41f3a0eb · outbound
This paper cites Audio multi-view spoofing detection framework based on audio-text-emotion correlations,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Audio multi-view spoofing detection framework based on audio-text-emotion correlations,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.924777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 50b95873-cc68-499f-9633-334373593996 · outbound
This paper cites Learning from yourself: A self-distillation method for fake speech detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Learning from yourself: A self-distillation method for fake speech detection,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.916202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 905328f0-e401-4a30-a696-0cda347cfae9 · outbound
This paper cites Dynamic difference learning with spatio-temporal correlation for deepfake video detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Dynamic difference learning with spatio-temporal correlation for deepfake video detection,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.906244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c61ca414-f5cf-4631-9979-b7a6fe5973a3 · outbound
This paper cites Deepfake detection via inter-frame inconsistency recomposition and enhancement,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Deepfake detection via inter-frame inconsistency recomposition and enhancement,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.896841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7d961f44-c628-4ec1-811e-99e17c40e413 · outbound
This paper cites Where deepfakes gaze at? spatial-temporal gaze inconsistency analysis for video face forgery detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Where deepfakes gaze at? spatial-temporal gaze inconsistency analysis for video face forgery detection,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.887595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation faae575d-cb2e-49fe-8c61-7adfed814f84 · outbound
This paper cites Semantic contextualization of face forgery: A new definition, dataset, and detection method,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Semantic contextualization of face forgery: A new definition, dataset, and detection method,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.877203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a5f714d2-5a1b-48e4-a212-298cecc22716 · outbound
This paper cites Fine- grained multimodal deepfake classification via heterogeneous graphs,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Fine- grained multimodal deepfake classification via heterogeneous graphs,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.866232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ce2354e4-06d6-4a18-b55a-c6d56d6d6995 · outbound
This paper cites Avoid-df: Audio-visual joint learning for detecting deepfake,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Avoid-df: Audio-visual joint learning for detecting deepfake,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.855030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 12bdb277-7b28-41be-9249-089e5c860de5 · outbound
This paper cites Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:14:36.489545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1c9ab9ed-f016-45f5-9642-dce7c9b1e199 · outbound
This paper cites Not made for each other-audio-visual dissonance-based deepfake detection and local- ization,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Not made for each other-audio-visual dissonance-based deepfake detection and local- ization,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.844911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8da9e98b-6136-4c2d-a11d-be705587b28f · outbound
This paper cites Audio-visual temporal forgery de- tection using embedding-level fusion and multi-dimensional contrastive loss,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Audio-visual temporal forgery de- tection using embedding-level fusion and multi-dimensional contrastive loss,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.834963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a89fe335-7651-4d5e-a693-ba01739559a8 · outbound
This paper cites DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.277635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9868303-7c6c-4790-92ee-746e12daac01 · outbound
This paper cites Um- maformer: A universal multimodal-adaptive transformer framework for temporal forgery localization,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Um- maformer: A universal multimodal-adaptive transformer framework for temporal forgery localization,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.824867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7714478a-1bc6-46bb-af04-3bdb7af3eba2 · outbound
This paper cites Mfms: Learning modality-fused and modality- specific features for deepfake detection and localization tasks,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Mfms: Learning modality-fused and modality- specific features for deepfake detection and localization tasks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.815342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4cdb5edf-c890-4ae2-ab22-4c4b53d62ab3 · outbound
This paper cites Attention is not all you need: Pure attention loses rank doubly exponentially with depth,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Attention is not all you need: Pure attention loses rank doubly exponentially with depth,
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.286833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bf1a814-8b2c-4d79-8c8e-e238f07e20fa · outbound
This paper cites Av-deepfake1m: A large-scale llm-driven audio- visual deepfake dataset,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Av-deepfake1m: A large-scale llm-driven audio- visual deepfake dataset,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.800416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 45c0f527-4640-4daa-a74a-d598375e3bd3 · outbound
This paper cites Half-Truth: A Partially Fake Audio Detection Dataset.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Half-Truth: A Partially Fake Audio Detection Dataset
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.292682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 381bf6f8-3303-4dcc-9740-278921d9b175 · outbound
This paper cites Localizing fake segments in speech,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Localizing fake segments in speech,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.791036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6c4af9cb-f029-4b12-a3ce-6cf2811492a9 · outbound
This paper cites Emotions don’t lie: An audio-visual deepfake detection method using affective cues,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Emotions don’t lie: An audio-visual deepfake detection method using affective cues,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.781671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e0845b8d-a937-4076-9228-144aba32dbdf · outbound
This paper cites Multimodal forgery detection using ensemble learning,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Multimodal forgery detection using ensemble learning,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.772552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6430d2b0-11c4-4aa6-9cbf-63a6fbd8b1f0 · outbound
This paper cites Using graph neural networks to improve generalization capability of the models for deepfake detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Using graph neural networks to improve generalization capability of the models for deepfake detection,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.763912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 781da907-9259-450b-a95e-6529c91df66a · outbound
This paper cites Joint audio-visual deepfake detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Joint audio-visual deepfake detection,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.754444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a2023744-ede5-487b-b50b-9a3eaf505d87 · outbound
This paper cites Avfakenet: A unified end-to-end dense swin transformer deep learning model for audio–visual deepfakes detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Avfakenet: A unified end-to-end dense swin transformer deep learning model for audio–visual deepfakes detection,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.744500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation df9bda77-f887-4f64-8dcc-42f043961fc6 · outbound
This paper cites Audio-visual person-of-interest deepfake detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Audio-visual person-of-interest deepfake detection,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.734486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 49f301c9-29e8-4f14-8826-27b13bf57e8c · outbound
This paper cites Contextloc++: A unified context model for temporal action localization,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Contextloc++: A unified context model for temporal action localization,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.725279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6c68e50f-8a74-4c95-a880-497fa3e88137 · outbound
This paper cites Deep learning-based action detection in untrimmed videos: A survey,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Deep learning-based action detection in untrimmed videos: A survey,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.715990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ee908738-0d14-4ee3-a940-c3ac9476b333 · outbound
This paper cites Semantic and temporal contextual correlation learning for weakly-supervised temporal action localization,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Semantic and temporal contextual correlation learning for weakly-supervised temporal action localization,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.705788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 91156095-b0c3-4695-a932-0092dd4da528 · outbound
This paper cites Gaussian temporal awareness networks for action localization,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Gaussian temporal awareness networks for action localization,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.696343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f5dc23e9-5642-4e22-be1d-81aeeb838c60 · outbound
This paper cites Mid-level fusion for end-to-end temporal activity detection in untrimmed video.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Mid-level fusion for end-to-end temporal activity detection in untrimmed video
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.686641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fe1b953b-2b15-4382-a142-5d8ac1cf5630 · outbound
This paper cites R-c3d: Region convolutional 3d network for temporal activity detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization R-c3d: Region convolutional 3d network for temporal activity detection,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.676911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 63244e45-be92-43b0-886a-60508bfeada7 · outbound
This paper cites Rethinking the faster r-cnn architecture for temporal action localization,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Rethinking the faster r-cnn architecture for temporal action localization,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.665388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9875b8d3-9ac7-4609-b423-274a60877ae1 · outbound
This paper cites Graph attention based proposal 3d convnets for action detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Graph attention based proposal 3d convnets for action detection,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.654460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b9fb1b56-cb77-4482-99be-4732883a3d09 · outbound
This paper cites Bsn: Boundary sensitive network for temporal action proposal generation,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Bsn: Boundary sensitive network for temporal action proposal generation,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.642857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 744a9a04-3eeb-461e-9aac-2a700debae43 · outbound
This paper cites Bmn: Boundary-matching network for temporal action proposal generation,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Bmn: Boundary-matching network for temporal action proposal generation,
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.347321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 624f1721-18fa-438e-964d-b660e7359a63 · outbound
This paper cites Actionformer: Localizing moments of actions with transformers,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Actionformer: Localizing moments of actions with transformers,
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.350440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41a922b9-873a-42bf-a0fb-728178bbbd84 · outbound
This paper cites Tridet: Temporal action detection with relative boundary modeling,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Tridet: Temporal action detection with relative boundary modeling,
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.354463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fa4ae62-0ce1-4ce3-bb21-1d256f70ab2c · outbound
This paper cites Temporal action localization in the deep learning era: A survey,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Temporal action localization in the deep learning era: A survey,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.616423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d721b690-9d84-4833-8467-8a15718b060d · outbound
This paper cites A simple framework for contrastive learning of visual representations,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization A simple framework for contrastive learning of visual representations,
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.360588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61b15b56-d8c7-4f48-b4c8-a6a0c12e8911 · outbound
This paper cites Exploring simple siamese representation learning,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Exploring simple siamese representation learning,
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.364461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd3ca517-c649-4285-9530-a66a26341010 · outbound
This paper cites Momentum contrast for unsupervised visual representation learning,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Momentum contrast for unsupervised visual representation learning,
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.367706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b4dd7ac-fa83-4345-a08d-1dfaafc223bf · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Representation Learning with Contrastive Predictive Coding
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.370808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4aa4c86-4721-4dc3-b0e6-a2e12fc01b6c · outbound
This paper cites Unsupervised feature learning via non-parametric instance discrimination,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Unsupervised feature learning via non-parametric instance discrimination,
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.375025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d65306f1-ab22-4627-a3e8-07c80ebca915 · outbound
This paper cites Fully unsupervised deepfake video detection via enhanced contrastive learning,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Fully unsupervised deepfake video detection via enhanced contrastive learning,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.584578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7d345e91-8944-4a31-90a3-6414e7128d89 · outbound
This paper cites Frequency-aware discrim- inative feature learning supervised by single-center loss for face forgery detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Frequency-aware discrim- inative feature learning supervised by single-center loss for face forgery detection,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.574510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0f5c296e-9b82-44a0-80ed-13381dcf581f · outbound
This paper cites Dual contrastive learning for general face forgery detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Dual contrastive learning for general face forgery detection,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.562933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e428c8a8-e02e-4fb6-ab83-74ea7a37a0b7 · outbound
This paper cites Supervised contrastive learn- ing,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Supervised contrastive learn- ing,
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.388668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 464a61a3-406b-480d-b0a4-5911c2246696 · outbound
This paper cites Temporal segment networks: Towards good practices for deep action recognition,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Temporal segment networks: Towards good practices for deep action recognition,
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.392169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea54a899-6f96-4329-870d-96e1f5aee266 · outbound
This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Quo vadis, action recognition? a new model and the kinetics dataset,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.541857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a28424ea-e652-4255-a1ef-767465922d09 · outbound
This paper cites Byol for audio: Self-supervised learning for general-purpose audio represen- tation,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Byol for audio: Self-supervised learning for general-purpose audio represen- tation,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.532397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2fd6b2fd-c5d7-4a18-9088-c950c21cc692 · outbound
This paper cites Focal loss for dense object detection,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Focal loss for dense object detection,
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.403124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed0d8098-03b6-4198-b53a-26d4d60acedc · outbound
This paper cites Distance-iou loss: Faster and better learning for bounding box regression,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Distance-iou loss: Faster and better learning for bounding box regression,
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.406421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da7d3222-0a85-46bb-b703-7ae9801868ef · outbound
This paper cites Soft-nms–improving object detection with one line of code,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Soft-nms–improving object detection with one line of code,
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.410095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e0445ed-d735-45d9-8e5a-27832b0a8e88 · outbound
This paper cites Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.413254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0553532-a118-4fbf-aec8-76f44f25fb08 · outbound
This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization wav2vec 2.0: A framework for self-supervised learning of speech representations,
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.417318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5d3541b-1920-431f-a87d-0d42e9e4c223 · outbound
This paper cites Vigo: Audiovisual fake detection and segment localization,.
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization Vigo: Audiovisual fake detection and segment localization,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:36.501293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation 0d1ab653-4e8a-4612-95b3-fd652a5f02c6 · inbound
UniSkip-Mamba: A Frequency-Aware State Space Model for Audio-Visual Temporal Forgery Localization cites this paper.
UniSkip-Mamba: A Frequency-Aware State Space Model for Audio-Visual Temporal Forgery Localization Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T18:34:29.549966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bbae765-f38c-4904-b766-81eee8c685c2 · inbound
UniSkip-Mamba: A Frequency-Aware State Space Model for Audio-Visual Temporal Forgery Localization cites this paper.
UniSkip-Mamba: A Frequency-Aware State Space Model for Audio-Visual Temporal Forgery Localization Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:40:51.554150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.