Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints | Paper Citation Record

Observation e092837a-7e76-4692-a52e-5b59ebd61ef0 · outbound

This paper cites Uncertainty-aware anticipation of activities.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Uncertainty-aware anticipation of activities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.578371Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c1e1c14-2327-4562-9d11-9817c4b5775f · outbound

This paper cites Long-term antic- ipation of activities with cycle consistency.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Long-term antic- ipation of activities with cycle consistency

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.553101Z

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Observation 9deaaf15-856b-4487-8342-51b14e149a95 · outbound

This paper cites When will you do what?- anticipating temporal occurrences of activ- ities.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints When will you do what?- anticipating temporal occurrences of activ- ities

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.523278Z

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Observation 14600717-8d26-47be-a8c3-ca1e407da25f · outbound

This paper cites How much temporal long-term context is needed for action segmentation? In Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision, pages 10351–10361, 2023.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints How much temporal long-term context is needed for action segmentation? In Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision, pages 10351–10361, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.499053Z

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Observation d95d9995-1b77-4e14-873e-7dc66acb374a · outbound

This paper cites Unified fully and timestamp supervised tem- poral action segmentation via sequence to sequence translation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Unified fully and timestamp supervised tem- poral action segmentation via sequence to sequence translation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.478890Z

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Observation 7846971b-5a53-4c69-8c80-cef4deffdf29 · outbound

This paper cites Language models are few-shot learners.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Language models are few-shot learners

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.454736Z

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Observation 8ed348f5-8e82-45b1-b479-71aef4fda0e6 · outbound

This paper cites End-to-end object detection with transformers.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints End-to-end object detection with transformers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.433889Z

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Observation 029ffbc9-b35b-4261-be8a-d90aadf9068c · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Quo vadis, action recognition? a new model and the kinetics dataset

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.413662Z

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Observation db8b4f19-fc6b-4042-953d-ff2e8fec13b8 · outbound

This paper cites Temporal action segmentation: An analysis of modern techniques.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Temporal action segmentation: An analysis of modern techniques

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.383154Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b079008a-cc0e-4af9-ad8c-7ff69f9aa062 · outbound

This paper cites Ms-tcn: Multi-stage temporal convolutional network for action segmentation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Ms-tcn: Multi-stage temporal convolutional network for action segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.365154Z

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Observation 2dd46435-7f80-457f-b66b-c474a810b420 · outbound

This paper cites an unresolved cited work.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:41:45.347176Z

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Observation ae4f0d82-2c8b-4e78-9e6f-107d1a3acda1 · outbound

This paper cites Leveraging tem- poral context in low representational power regimes.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Leveraging tem- poral context in low representational power regimes

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.329513Z

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Observation dcc394ca-09e4-4460-8d16-381440b81237 · outbound

This paper cites Forecasting future action sequences with neural mem- ory networks.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Forecasting future action sequences with neural mem- ory networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.313411Z

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Observation 532da602-f1ce-473c-b5ef-4af517d951ba · outbound

This paper cites Antic- ipative video transformer.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Antic- ipative video transformer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.296019Z

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Observation 5f59b4e7-59d6-459e-a679-f248a6df5687 · outbound

This paper cites Actionvlad: Learning spatio-temporal aggre- gation for action classification.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Actionvlad: Learning spatio-temporal aggre- gation for action classification

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.280031Z

Source-reported events for the cited work

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Observation 6b64080e-5248-44bf-b0c1-5d76606ac5af · outbound

This paper cites Actfusion: a unified diffusion model for action segmentation and anticipation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Actfusion: a unified diffusion model for action segmentation and anticipation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.263460Z

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Observation a711de46-ff54-499b-b6c9-166791076050 · outbound

This paper cites Activity grammars for temporal action segmentation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Activity grammars for temporal action segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.239070Z

Source-reported events for the cited work

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Observation f04026ae-24a0-4d3b-b518-b3596cd756ee · outbound

This paper cites Future transformer for long-term action anticipation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Future transformer for long-term action anticipation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.221287Z

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Observation e871e156-6fe5-4e81-92c2-abe6f945acb8 · outbound

This paper cites A-ACT: Action Anticipation through Cycle Transformations.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints A-ACT: Action Anticipation through Cycle Transformations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T00:41:44.400125Z

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Observation 7e11a56a-f0ef-40d0-9d4b-5ac69fe236a0 · outbound

This paper cites Gaussian error linear units (gelus), 2023.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Gaussian error linear units (gelus), 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:41:44.407032Z

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Observation f8e49a48-c2a6-4302-b2f6-99514063251c · outbound

This paper cites Bidi- rectional lstm-crf models for sequence tag- ging, 2015.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Bidi- rectional lstm-crf models for sequence tag- ging, 2015

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.190687Z

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Observation 74d701c3-7f9c-4f57-917c-53d20f214c5a · outbound

This paper cites Timeception for complex action recognition.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Timeception for complex action recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.170586Z

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Observation 3b73664e-a7f7-4f02-aae2-28bca639a8cb · outbound

This paper cites Videograph: Rec- ognizing minutes-long human activities in videos.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Videograph: Rec- ognizing minutes-long human activities in videos

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.152026Z

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Observation b9829dd2-932f-42ff-89bd-0f39c3dd4d9e · outbound

This paper cites Time-Conditioned Action Anticipation in One Shot.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Time-Conditioned Action Anticipation in One Shot

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.131478Z

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Observation c414e38c-c833-49da-a0c5-042112417d56 · outbound

This paper cites Palm: Predicting actions through language models, 2024.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Palm: Predicting actions through language models, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.114037Z

Source-reported events for the cited work

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Observation 10ffaca0-c31f-41e2-bd62-caf5f4e5299b · outbound

This paper cites The language of actions: Recovering the syn- tax and semantics of goal-directed human activities.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints The language of actions: Recovering the syn- tax and semantics of goal-directed human activities

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.095878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0643354a-8968-4a2d-9cb5-0b67037fee7f · outbound

This paper cites An end-to-end generative framework for video segmentation and recognition.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints An end-to-end generative framework for video segmentation and recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.077665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efb9df89-8786-400f-86ca-42a899dcb35f · outbound

This paper cites A hybrid rnn-hmm approach for weakly supervised temporal action segmenta- tion.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints A hybrid rnn-hmm approach for weakly supervised temporal action segmenta- tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.057356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33b8efc1-3de7-463c-81bd-9699d1446b2b · outbound

This paper cites On information and sufficiency.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints On information and sufficiency

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T00:41:44.452331Z

Source-reported events for the cited work

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Observation 0b8e9b7a-f0bf-4752-819f-9cc2230ff79c · outbound

This paper cites Conditional random fields: Probabilistic models for segmenting and labeling sequence data.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Conditional random fields: Probabilistic models for segmenting and labeling sequence data

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.023224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eec63cff-bfb9-43e2-91b3-478044d386cf · outbound

This paper cites Tem- poral convolutional networks for action seg- mentation and detection.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Tem- poral convolutional networks for action seg- mentation and detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:45.005996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a2db1fc-a99c-4706-b41f-64cfbb562864 · outbound

This paper cites Ms-tcn++: Multi-stage temporal convolutional network for action segmentation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Ms-tcn++: Multi-stage temporal convolutional network for action segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.987956Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03153bad-ad38-447a-a327-2242d7184a76 · outbound

This paper cites In the eye of beholder: Joint learning of gaze and actions in first person video.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints In the eye of beholder: Joint learning of gaze and actions in first person video

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.970836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 704f479d-99d8-46a6-907b-5d3cf066bdab · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints SGDR: stochastic gradient descent with warm restarts

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.955170Z

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Observation 0869ca5a-e0bd-4fdb-881a-ec798b96c399 · outbound

This paper cites Decou- pled weight decay regularization.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Decou- pled weight decay regularization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.939915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd52dc1d-6e7d-41a2-a673-6c92c50d0594 · outbound

This paper cites Fact: Frame- action cross-attention temporal modeling for efficient action segmentation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Fact: Frame- action cross-attention temporal modeling for efficient action segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.920916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91a887f5-acd1-4087-a6d1-b64c9b8a094c · outbound

This paper cites End- to-end fine-grained action segmentation and recognition using conditional random field 12 models and discriminative sparse coding.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints End- to-end fine-grained action segmentation and recognition using conditional random field 12 models and discriminative sparse coding

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.895182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18b08921-636c-4619-9c88-973d9523a876 · outbound

This paper cites Can’t make an omelette without breaking some eggs: Plau- sible action anticipation using large video- language models.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Can’t make an omelette without breaking some eggs: Plau- sible action anticipation using large video- language models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.876945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5bf084d-2c82-400f-832b-a33a6efb0198 · outbound

This paper cites Ego- topo: Environment affordances from egocen- tric video.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Ego- topo: Environment affordances from egocen- tric video

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.858848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6e98bb8-d7bd-41d5-87b6-2148a59ae2e0 · outbound

This paper cites Rethinking learning approaches for long-term action anticipation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Rethinking learning approaches for long-term action anticipation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.839612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c7e165f-dca1-4d6b-b339-6c9d7a75d381 · outbound

This paper cites Temporal aggregate representations for long-range video understanding.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Temporal aggregate representations for long-range video understanding

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.817566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1972f7b0-c658-4dba-8fb3-46e62c5fdc93 · outbound

This paper cites Combining embedded accelerometers with computer vision for recognizing food prepa- ration activities.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Combining embedded accelerometers with computer vision for recognizing food prepa- ration activities

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.800692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aef2ace7-6939-4bf0-9a42-700c415f218d · outbound

This paper cites Attention is all you need.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Attention is all you need

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.782319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54b06b13-cac6-49c3-878d-69e292090c1e · outbound

This paper cites Vamos: Versatile action models for video understanding.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Vamos: Versatile action models for video understanding

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.763934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93931b65-cf84-4b06-8e03-0f4ba4193305 · outbound

This paper cites Don’t pour cereal into coffee: Differentiable temporal logic for temporal action segmen- tation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Don’t pour cereal into coffee: Differentiable temporal logic for temporal action segmen- tation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.746095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76d0ed98-6a52-4837-b5dd-a9ac31d582dc · outbound

This paper cites Gated temporal diffusion for stochastic long-term dense anticipation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Gated temporal diffusion for stochastic long-term dense anticipation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.726533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 553358cf-bb57-465a-a15c-81bcc282e6b2 · outbound

This paper cites Object-centric video represen- tation for long-term action anticipation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Object-centric video represen- tation for long-term action anticipation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.705796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d52cdc8-00c6-4359-9afa-a9f5ff6b594f · outbound

This paper cites On diverse asynchronous activity anticipation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints On diverse asynchronous activity anticipation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.688535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90365dab-21b5-4211-8cc9-ea1f4998cfb9 · outbound

This paper cites Antgpt: Can large language models help long-term action antic- ipation from videos?, 2024.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Antgpt: Can large language models help long-term action antic- ipation from videos?, 2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.672547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27b5e351-646f-4d85-a0de-109c1737c9a2 · outbound

This paper cites A sur- vey on deep learning techniques for action anticipation, 2023.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints A sur- vey on deep learning techniques for action anticipation, 2023

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:41:44.656417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af9aa929-80ea-450a-b039-d735de65c3e7 · outbound

This paper cites DiffAnt: Diffusion Models for Action Anticipation.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints DiffAnt: Diffusion Models for Action Anticipation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T00:41:44.557564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ec0a4a-d670-40b1-b513-d78883715a0f · outbound

This paper cites an unresolved cited work.

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:41:44.638877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers