Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning | Paper Citation Record

Observation 9fc1bf43-b827-4330-835c-6a2b45ab28c6 · outbound

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

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Flamingo: a visual language model for few-shot learning,

Reference 1

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Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Unresolved cited work

Reference 2

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This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments

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This paper cites BEiT: BERT Pre-Training of Image Transformers.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning BEiT: BERT Pre-Training of Image Transformers

Reference 4

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Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Recur- rent memory transformer

Reference 5

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

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Quo vadis, action recognition? a new model and the kinetics dataset

Reference 6

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This paper cites PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning PaLI-X: On Scaling up a Multilingual Vision and Language Model

Reference 7

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This paper cites PaLI: A jointly-scaled multilingual language- image model.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning PaLI: A jointly-scaled multilingual language- image model

Reference 8

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This paper cites VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation

Reference 9

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This paper cites Uniter: Universal image-text representation learning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Uniter: Universal image-text representation learning

Reference 10

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This paper cites TALLFormer: Temporal Action Localization with a Long-memory Transformer.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning TALLFormer: Temporal Action Localization with a Long-memory Transformer

Reference 11

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This paper cites Monotonic chunkwise attention.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Monotonic chunkwise attention

Reference 12

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This paper cites Vision Transformers Need Registers.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Vision Transformers Need Registers

Reference 13

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This paper cites An empirical study of training end-to-end vision-and-language transformers.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning An empirical study of training end-to-end vision-and-language transformers

Reference 14

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This paper cites Violet: End-to-end video-language transformers with masked visual-token mod- eling.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Violet: End-to-end video-language transformers with masked visual-token mod- eling

Reference 15

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This paper cites Soda: Story oriented dense video captioning evaluation framework.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Soda: Story oriented dense video captioning evaluation framework

Reference 16

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This paper cites Mist: Multi-modal iterative spatial- temporal transformer for long-form video question answer- ing.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Mist: Multi-modal iterative spatial- temporal transformer for long-form video question answer- ing

Reference 17

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This paper cites The” something something” video database for learning and evaluating visual common sense.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning The” something something” video database for learning and evaluating visual common sense

Reference 18

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This paper cites Videollm: Modeling video sequence with large language models.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Videollm: Modeling video sequence with large language models

Reference 19

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This paper cites Multimodal pretraining for dense video cap- tioning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Multimodal pretraining for dense video cap- tioning

Reference 20

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This paper cites A better use of audio-visual cues: Dense video captioning with bi-modal transformer.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning A better use of audio-visual cues: Dense video captioning with bi-modal transformer

Reference 21

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This paper cites Long movie clip classification with state-space video models.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Long movie clip classification with state-space video models

Reference 22

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This paper cites Perceiver: General perception with iterative attention, 2021.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Perceiver: General perception with iterative attention, 2021

Reference 23

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This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Scaling up visual and vision-language representation learning with noisy text supervision

Reference 24

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This paper cites The Kinetics Human Action Video Dataset.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning The Kinetics Human Action Video Dataset

Reference 25

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This paper cites Dense-captioning events in videos.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Dense-captioning events in videos

Reference 26

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This paper cites MaMMUT: A simple architecture for joint learning for mul- timodal tasks.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning MaMMUT: A simple architecture for joint learning for mul- timodal tasks

Reference 27

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This paper cites Selvaraju, Akhilesh D.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Selvaraju, Akhilesh D

Reference 28

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This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 29

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This paper cites Unmasked teacher: Towards training-efficient video foundation models.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Unmasked teacher: Towards training-efficient video foundation models

Reference 30

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Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Oscar: Object-semantics aligned pre-training for vision-language tasks

Reference 31

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Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Eclipse: Efficient long-range video retrieval using sight and sound

Reference 32

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Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks

Reference 33

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This paper cites Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

Reference 34

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Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

Reference 35

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This paper cites CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

Reference 36

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This paper cites Howto100m: Learning a text-video embedding by watching hundred million narrated video clips.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

Reference 37

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This paper cites Moments in time dataset: one million videos for event understanding.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Moments in time dataset: one million videos for event understanding

Reference 38

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This paper cites Re- thinking video vits: Sparse video tubes for joint image and video learning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Re- thinking video vits: Sparse video tubes for joint image and video learning

Reference 39

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Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Dynamic pretraining of vision-language models

Reference 40

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This paper cites Mirasol3B: A multi- modal autoregressive model for time-aligned and contextual modalities.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Mirasol3B: A multi- modal autoregressive model for time-aligned and contextual modalities

Reference 41

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This paper cites Timechat: A time-sensitive multimodallarge language model for long video understanding.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Timechat: A time-sensitive multimodallarge language model for long video understanding

Reference 42

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This paper cites Ryoo, AJ Piergiovanni, Anurag Arnab, Mostafa Dehghani, and Anelia Angelova.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Ryoo, AJ Piergiovanni, Anurag Arnab, Mostafa Dehghani, and Anelia Angelova

Reference 43

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This paper cites Ryoo, Keerthana Gopalakrishnan, Kumara Ka- hatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, and Anurag Arnab.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Ryoo, Keerthana Gopalakrishnan, Kumara Ka- hatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, and Anurag Arnab

Reference 44

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This paper cites Tridet: Temporal action detection with relative boundary modeling.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Tridet: Temporal action detection with relative boundary modeling

Reference 45

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This paper cites Flava: A foundational language and vision alignment model.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Flava: A foundational language and vision alignment model

Reference 46

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This paper cites Ucf101: A dataset of 101 human action classes from videos in the wild.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Ucf101: A dataset of 101 human action classes from videos in the wild

Reference 47

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This paper cites Long-form video-language pre- training with multimodal temporal contrastive learning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Long-form video-language pre- training with multimodal temporal contrastive learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.937238Z

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Observation 72a9ef8c-a6be-41f9-87f5-904215e960a3 · outbound

This paper cites Lxmert: Learning cross- modality encoder representations from transformers.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Lxmert: Learning cross- modality encoder representations from transformers

Reference 49

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This paper cites CLIP4Caption: CLIP for Video Caption.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning CLIP4Caption: CLIP for Video Caption

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:06:05.353751Z

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Observation abaf2d17-1bd9-45b9-b3fa-65160eba14cb · outbound

This paper cites Cider: Consensus-based image description evalua- tion.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Cider: Consensus-based image description evalua- tion

Reference 51

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Observation 84909b79-6f9a-438a-9985-b6e0e2125196 · outbound

This paper cites Bidirectional attentive fusion with context gating for dense video captioning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Bidirectional attentive fusion with context gating for dense video captioning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.897753Z

Source-reported events for the cited work

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Observation ecb8d9d6-4849-4fc7-a288-f1d99e3102e3 · outbound

This paper cites GIT: A Generative Image-to-text Transformer for Vision and Language.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning GIT: A Generative Image-to-text Transformer for Vision and Language

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.063232Z

Source-reported events for the cited work

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Observation 25f47987-40a1-46cb-8ca5-451b566e3853 · outbound

This paper cites Omnivid: A generative framework for universal video understanding.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Omnivid: A generative framework for universal video understanding

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.883020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad699342-6b75-4888-a562-47e8d54a4a59 · outbound

This paper cites OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.072176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2844a8a3-3fc3-485b-b257-5efe1d665c05 · outbound

This paper cites End-to-end dense video captioning with parallel decoding.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning End-to-end dense video captioning with parallel decoding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.867617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3866e6e4-4cd8-4a15-8fd0-c16be4a0a892 · outbound

This paper cites Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.081141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77202398-63d6-4180-bcfc-77319f3070f1 · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.085716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c79ed25-29e0-4b4f-a0ea-a4ffcf36494a · outbound

This paper cites SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.090407Z

Source-reported events for the cited work

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Observation dedb013e-e3c7-44ee-9654-c3856e996084 · outbound

This paper cites Vl-bert: Pre-training of generic visual- linguistic representations.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Vl-bert: Pre-training of generic visual- linguistic representations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.852537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a2d0625-250b-4b1d-a5ab-ee791bbe4902 · outbound

This paper cites Towards long-form video understanding.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Towards long-form video understanding

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.838141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ffc5d5d-b2d5-41a5-abc9-b57b2ba4d9fb · outbound

This paper cites Dibs: Enhanc- ing dense video captioning with unlabeled videos via pseudo boundary enrichment and online refinement.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Dibs: Enhanc- ing dense video captioning with unlabeled videos via pseudo boundary enrichment and online refinement

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.823791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 484716e0-2545-429b-98de-c9ffdd87a54e · outbound

This paper cites mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.108091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f11a6134-c2e5-4735-9bcf-4d2ba70a9829 · outbound

This paper cites VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.112688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea51806-a878-4d44-a798-21e8c1530627 · outbound

This paper cites Vid2seq: Large-scale pretraining of a vi- sual language model for dense video captioning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Vid2seq: Large-scale pretraining of a vi- sual language model for dense video captioning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.808297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f72021f7-070e-4aaa-8326-44b87f8ca744 · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Coca: Contrastive captioners are image-text foundation models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.121604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5448c75-05e4-445e-9a98-1004fab46069 · outbound

This paper cites Hierarchical video-moment retrieval and step-captioning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Hierarchical video-moment retrieval and step-captioning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.783130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7cd6d66b-6d22-4bc3-8426-b728a86d9794 · outbound

This paper cites Mer- lot: Multimodal neural script knowledge models.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Mer- lot: Multimodal neural script knowledge models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.768846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3c8c9704-693c-4510-a8dd-0692858bcee5 · outbound

This paper cites Actionformer: Lo- calizing moments of actions with transformers.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Actionformer: Lo- calizing moments of actions with transformers

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.754096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3faccc33-6290-4dae-ad00-4adfd538343c · outbound

This paper cites VinVL: Revisiting Visual Representations in Vision-Language Models.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning VinVL: Revisiting Visual Representations in Vision-Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:05.139120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113ed232-ae2d-4a3c-bdd6-b7a0a89bc616 · outbound

This paper cites Unifying event detec- tion and captioning as sequence generation via pre-training.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Unifying event detec- tion and captioning as sequence generation via pre-training

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.738616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 786bfcf7-53f3-4260-9b5d-ef716e770842 · outbound

This paper cites Open-ended long-form video question answering via hierarchical convolutional self-attention networks.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Open-ended long-form video question answering via hierarchical convolutional self-attention networks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.722709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6f167a0-1b80-45b5-8251-af197a0a4cbf · outbound

This paper cites Towards automatic learning of procedures from web instructional videos.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Towards automatic learning of procedures from web instructional videos

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.708283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01ea6556-418e-491e-94a0-f39784588f12 · outbound

This paper cites End-to-end dense video captioning with masked transformer.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning End-to-end dense video captioning with masked transformer

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.693993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b0e473b-4958-4e01-be53-f7d53ff8bc8b · outbound

This paper cites Streaming dense video captioning.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Streaming dense video captioning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.679149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 981ea771-ddc3-4beb-b52f-4a1c4a08eb2e · outbound

This paper cites Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:06:05.215806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6919d268-601d-4346-ab9b-df06ec865e03 · outbound

This paper cites Thapliyal, William Yang Wang, and Radu Soricut.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning Thapliyal, William Yang Wang, and Radu Soricut

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:06:05.664229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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