Paper Citation Record · LEDGER

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 6 inbound Pith citation observations for arXiv:2411.08466.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.08466 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

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measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:41:46.263737Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T23:35:05.394191Z

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation 97085144-945e-4d1c-9114-61480fd36d05 · outbound

This paper cites an unresolved cited work.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Unresolved cited work

Reference 1

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Observation 261affba-45d6-4c7d-a464-6ff2955a3d2e · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Flamingo: a visual language model for few-shot learning

Reference 2

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Observation 38334622-3801-429a-8883-069d586db59c · outbound

This paper cites Boundary content graph neural network for temporal action proposal generation.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Boundary content graph neural network for temporal action proposal generation

Reference 3

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Observation 09336ad7-3c97-48fb-ae14-e9c972815aed · outbound

This paper cites Lan- guage models are few-shot learners.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Lan- guage models are few-shot learners

Reference 4

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Observation 36779a57-94f6-4842-9b6a-eb4cb1d12b87 · outbound

This paper cites Activitynet: A large-scale video benchmark for human activity understanding.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Activitynet: A large-scale video benchmark for human activity understanding

Reference 5

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Observation 600d8cc2-c59a-4ac2-a54c-1a88469f2027 · outbound

This paper cites Ross, Jia Deng, and Rahul Sukthankar.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Ross, Jia Deng, and Rahul Sukthankar

Reference 6

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Observation 39eaff1e-1cf9-4801-953a-17a6821f4a71 · outbound

This paper cites Dual-evidential learning for weakly-supervised tempo- ral action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Dual-evidential learning for weakly-supervised tempo- ral action localization

Reference 7

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Observation 86716db9-bca9-4a6e-a39c-32888fd56e20 · outbound

This paper cites GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

Reference 8

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Observation 20deaa4e-b21d-4519-a17a-389b31bc4c32 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 9

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Observation 8a4c02c5-c110-49fb-9a0e-b6932ae9c350 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Imagebind: One embedding space to bind them all

Reference 10

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Observation 1d45a2f4-09e0-433e-9012-465930d6bdd2 · outbound

This paper cites Cross-modal consensus network for weakly supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Cross-modal consensus network for weakly supervised temporal action localization

Reference 11

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Observation 4db7b917-08a1-49c1-a973-da2380f8982d · outbound

This paper cites in the wild.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models in the wild

Reference 12

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Observation b17a1e44-be00-404a-b803-fb4244765137 · outbound

This paper cites A hybrid attention mechanism for weakly-supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models A hybrid attention mechanism for weakly-supervised temporal action localization

Reference 13

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Observation 1a5ea49f-278e-4fd8-9397-0d422a9a5af1 · outbound

This paper cites Distill- ing vision-language pre-training to collaborate with weakly- supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Distill- ing vision-language pre-training to collaborate with weakly- supervised temporal action localization

Reference 14

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Observation bcc98d08-6822-4593-825b-9bc4ab4a172b · outbound

This paper cites Weakly-supervised temporal action localization by uncer- tainty modeling.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Weakly-supervised temporal action localization by uncer- tainty modeling

Reference 15

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Observation bc4f8965-66ec-469e-a4ac-e83353684fac · outbound

This paper cites Otter: A Multi-Modal Model with In-Context Instruction Tuning.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Otter: A Multi-Modal Model with In-Context Instruction Tuning

Reference 16

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Observation da9dbb40-df71-4b10-863d-1ff79759fef7 · outbound

This paper cites Boosting weakly-supervised temporal action localization with text information.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Boosting weakly-supervised temporal action localization with text information

Reference 17

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Observation d0ca7528-3d02-4a9f-92d1-4a5850410aab · outbound

This paper cites Exploring denoised cross-video contrast for weakly- supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Exploring denoised cross-video contrast for weakly- supervised temporal action localization

Reference 18

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Observation 3831a3f9-736f-4389-a001-9eb0cdca190e · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 19

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Observation d3735fa2-fcab-41b4-8dc6-b610c4e096e3 · outbound

This paper cites Revisiting foreground and background sepa- ration in weakly-supervised temporal action localization: A clustering-based approach.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Revisiting foreground and background sepa- ration in weakly-supervised temporal action localization: A clustering-based approach

Reference 20

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Observation 0e568180-5dce-46e2-b60c-d930976fead8 · outbound

This paper cites Pivotal: Prior-driven supervision for weakly-supervised tem- poral action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Pivotal: Prior-driven supervision for weakly-supervised tem- poral action localization

Reference 21

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Observation ac17e594-17ca-45c6-93ce-91f7937f0051 · outbound

This paper cites Weakly supervised action localization by sparse temporal pooling network.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Weakly supervised action localization by sparse temporal pooling network

Reference 22

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Observation 52fb9456-c874-41e7-997b-e4be013c4002 · outbound

This paper cites GPT-4 Technical Report.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models GPT-4 Technical Report

Reference 23

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Observation 2ac5cd9a-1fda-4223-9a70-a8d8336a720b · outbound

This paper cites W- talc: Weakly-supervised temporal activity localization and classification.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models W- talc: Weakly-supervised temporal activity localization and classification

Reference 24

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Observation 122c751a-a5cc-4fde-97d2-cace70bf17a2 · outbound

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Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Glove: Global vectors for word representation

Reference 25

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This paper cites Proposal-based multiple instance learning for weakly-supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Proposal-based multiple instance learning for weakly-supervised temporal action localization

Reference 26

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Observation 5fc1b78f-ec68-474d-91cb-c97c1e7414f7 · outbound

This paper cites Dynamic graph modeling for weakly-supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Dynamic graph modeling for weakly-supervised temporal action localization

Reference 27

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Observation 4d5875be-b636-47dd-9302-bcfec9d5cc99 · outbound

This paper cites Ddg- net: Discriminability-driven graph network for weakly- supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Ddg- net: Discriminability-driven graph network for weakly- supervised temporal action localization

Reference 28

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Observation 8c245d6f-d29c-41fb-bcc3-e5165c5a259a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 29

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This paper cites ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System

Reference 30

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This paper cites Untrimmednets for weakly supervised action recognition and detection.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Untrimmednets for weakly supervised action recognition and detection

Reference 31

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This paper cites Two-stream net- works for weakly-supervised temporal action localization with semantic-aware mechanisms.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Two-stream net- works for weakly-supervised temporal action localization with semantic-aware mechanisms

Reference 32

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This paper cites Task groupings regulariza- tion: Data-free meta-learning with heterogeneous pre-trained models.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Task groupings regulariza- tion: Data-free meta-learning with heterogeneous pre-trained models

Reference 33

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This paper cites Free: Faster and better data-free meta-learning.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Free: Faster and better data-free meta-learning

Reference 34

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This paper cites Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent

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This paper cites G-tad: Sub-graph localization for tempo- ral action detection.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models G-tad: Sub-graph localization for tempo- ral action detection

Reference 36

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This paper cites Uncertainty guided collaborative training for weakly supervised temporal action detection.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Uncertainty guided collaborative training for weakly supervised temporal action detection

Reference 37

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Observation c305d2a5-eeec-4385-9b24-2ee6712a2e21 · outbound

This paper cites Weakly-supervised temporal action localization by in- ferring salient snippet-feature.

Reference 38

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Observation 814cf87b-15ff-4084-9b97-a233af6b960e · outbound

This paper cites Graph con- volutional networks for temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Graph con- volutional networks for temporal action localization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:36:12.153636Z

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Observation a1ff3c2c-7018-45bb-a709-2818e5f398b3 · outbound

This paper cites Two-stream consensus network for weakly-supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Two-stream consensus network for weakly-supervised temporal action localization

Reference 40

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This paper cites Cola: Weakly-supervised temporal action lo- calization with snippet contrastive learning.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Cola: Weakly-supervised temporal action lo- calization with snippet contrastive learning

Reference 41

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Observation 28b6fad0-024c-4177-be9a-da63dfcbf2f0 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 42

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This paper cites Distilling semantic priors from sam to efficient image restoration models.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Distilling semantic priors from sam to efficient image restoration models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:36:12.098688Z

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Observation bf015b08-6896-48a0-a4d3-683d187819c0 · outbound

This paper cites IMDPrompter: Adapting SAM to image manipulation detection by cross-view automated prompt learning.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models IMDPrompter: Adapting SAM to image manipulation detection by cross-view automated prompt learning

Reference 44

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Observation c340076f-f02f-47af-8969-591674eb56e7 · outbound

This paper cites Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction

Reference 45

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This paper cites Equivalent classification mapping for weakly supervised temporal action localization.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Equivalent classification mapping for weakly supervised temporal action localization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:36:12.063208Z

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Observation a5af33e2-847c-46b9-b007-6d250328252d · outbound

This paper cites Temporal action detection with structured segment networks.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Temporal action detection with structured segment networks

Reference 47

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Observation 81c3e45f-dca6-41b3-bff4-ac02220ac7c6 · outbound

This paper cites Improving weakly supervised temporal ac- tion localization by bridging train-test gap in pseudo labels.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Improving weakly supervised temporal ac- tion localization by bridging train-test gap in pseudo labels

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:36:12.028875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c12398e9-0c05-4d2b-ae6b-78b3c5635b34 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T21:36:11.822339Z

Source-reported events for the cited work

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Pith citing papers

Observation f56252a4-3235-4d7b-86b6-5dadfd0e446e · inbound

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction cites this paper.

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T18:41:46.263737Z

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Observation 3678d028-2e12-4e16-9437-163810683175 · inbound

IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning cites this paper.

IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T12:09:14.625616Z

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Unavailable: canonical work link unavailable.

Observation 7a53f4de-b7b7-40fc-88cd-a4056a624f73 · inbound

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting cites this paper.

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:35.241122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bedf9601-f849-45c1-893d-4433e4ec5471 · inbound

CLIP-AE: CLIP-assisted Cross-view Audio-Visual Enhancement for Unsupervised Temporal Action Localization cites this paper.

CLIP-AE: CLIP-assisted Cross-view Audio-Visual Enhancement for Unsupervised Temporal Action Localization Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:46.650668Z

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Unavailable: canonical work link unavailable.

Observation a3ed2881-9cd1-469e-bad0-9fa6ec7dcede · inbound

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices cites this paper.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.468809Z

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Observation 25f38f2e-2f51-40c5-92f9-cb4d5f11d566 · inbound

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization cites this paper.

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:35:05.494183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.