Paper Citation Record · LEDGER

Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization

As of 9 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.

pith.paper-citation-record.v1
2506.08493 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:36.420554Z

measured 57 of 57 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:40:51.554150Z

measured 0 of 1 external citation measurements

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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Source-reported events for the cited work

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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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 2026-08-09T06:31:02.800959+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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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Source-reported events for the cited work

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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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

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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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.

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.