Paper Citation Record · LEDGER

InternVideo: General Video Foundation Models via Generative and Discriminative Learning

As of 11 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 100 inbound Pith citation observations for arXiv:2212.03191.

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

pith.paper-citation-record.v1
2212.03191 v2

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T00:36:53.235740Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 100 of 101 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:59:13.473248Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 111 outbound references displayed

verified exact21
verified fuzzy76
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

93
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3904b6a7-d161-4169-b3a8-96a507d5c664 · outbound

This paper cites Nsnet: Non-saliency suppression sampler for efﬁcient video recognition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Nsnet: Non-saliency suppression sampler for efﬁcient video recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.508727Z

Source-reported events for the cited work

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Observation cbffbc11-917c-4ad1-94dd-385cab12fc97 · outbound

This paper cites Learn to cycle: Time-consistent feature discovery for action recognition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Learn to cycle: Time-consistent feature discovery for action recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.514105Z

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Observation dd35ef7d-c1ef-4b64-bb92-257903cfba94 · outbound

This paper cites Self-supervising action recognition by statistical moment and subspace descriptors.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Self-supervising action recognition by statistical moment and subspace descriptors

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.516789Z

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Observation 4551cede-8f60-46b9-b39f-c6229ae96a31 · outbound

This paper cites Actionformer: Localizing moments of actions with transformers.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Actionformer: Localizing moments of actions with transformers

Reference 4

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Observation e626acfb-cab5-4f20-a700-3e5a8e8b8b37 · outbound

This paper cites Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.522177Z

Source-reported events for the cited work

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Observation 57446b8b-8a03-4a00-80e3-ad5434efd26c · outbound

This paper cites Masked feature prediction for self-supervised visual pre-training.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Masked feature prediction for self-supervised visual pre-training

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.524483Z

Source-reported events for the cited work

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Observation 041299c2-4743-4bdf-a2d4-5450b4b6993a · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:36:53.357463Z

Source-reported events for the cited work

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Observation afaab448-fd03-4875-8d07-d6e643c521f0 · outbound

This paper cites Multiview transformers for video recognition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Multiview transformers for video recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.526483Z

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Observation 66281555-6776-43b3-9d94-1a1e57adb8a1 · outbound

This paper cites Merlot: Multimodal neural script knowledge models.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Merlot: Multimodal neural script knowledge models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.528653Z

Source-reported events for the cited work

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Observation ff7620d4-1be5-4c82-843f-88a18b392ccb · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning On the Opportunities and Risks of Foundation Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:36:53.354621Z

Source-reported events for the cited work

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Observation 72dfe7fc-0cf1-4782-9d65-7bbbd4f9d610 · outbound

This paper cites Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text

Reference 11

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Observation 1df9fb52-dc1e-4933-bc0d-c08c2db0eec2 · outbound

This paper cites INTERN: A New Learning Paradigm Towards General Vision.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning INTERN: A New Learning Paradigm Towards General Vision

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.329293Z

Source-reported events for the cited work

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Observation e4da4d3c-8d47-45b6-b5ff-48a6252475e3 · outbound

This paper cites Learning transferable visual models from natural language supervision.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Learning transferable visual models from natural language supervision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.533740Z

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Observation 9b2314a5-8cee-4968-9d4b-1cc13321daf3 · outbound

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

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Scaling up visual and vision-language representation learning with noisy text supervision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.536310Z

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Observation 109f2a8e-3b42-4a52-a230-15d8417d5650 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Florence: A New Foundation Model for Computer Vision

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:36:53.308902Z

Source-reported events for the cited work

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Observation 4f1d64d9-2c27-4878-a18f-787c3dc6ce92 · outbound

This paper cites Uniﬁed contrastive learning in image-text-label space.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Uniﬁed contrastive learning in image-text-label space

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.538927Z

Source-reported events for the cited work

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Observation ba08958b-c143-46ad-8cf5-da2b9005a221 · outbound

This paper cites SimVLM: Simple visual language model pretraining with weak supervision.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning SimVLM: Simple visual language model pretraining with weak supervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.541465Z

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Observation a06c1fe5-9bea-4dad-a1f9-59470a7f62ec · outbound

This paper cites Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework

Reference 18

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Observation f2dbac5c-c1d7-41a8-9f03-5ea139503240 · outbound

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

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Reference 19

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Observation 398788ad-629b-4001-b807-112e6bf10745 · outbound

This paper cites BEit: BERT pre-training of image transformers.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning BEit: BERT pre-training of image transformers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.547292Z

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Observation f564919a-d241-4b27-8dc5-089f0e45c941 · outbound

This paper cites Pathways: Asynchronous distributed dataﬂow for ml.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Pathways: Asynchronous distributed dataﬂow for ml

Reference 21

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Observation 10b34b71-aa82-49fb-893b-7c79dec90fe5 · outbound

This paper cites X-clip: End-to-end multi-grained contrastive learning for video-text retrieval.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning X-clip: End-to-end multi-grained contrastive learning for video-text retrieval

Reference 22

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Observation e835e721-e8bb-49eb-917e-7d8738d2da5b · outbound

This paper cites VideoMAE: Masked autoencoders are data-efﬁcient learners for self-supervised video pre-training.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning VideoMAE: Masked autoencoders are data-efﬁcient learners for self-supervised video pre-training

Reference 23

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Observation d592edaf-3d7a-463e-a2e4-c647938fae95 · outbound

This paper cites All in One: Exploring Unified Video-Language Pre-training.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning All in One: Exploring Unified Video-Language Pre-training

Reference 24

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Observation ed71fbf0-5b96-40a4-8947-b5943e26dab4 · outbound

This paper cites Masked autoencoders are scalable vision learners.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Masked autoencoders are scalable vision learners

Reference 25

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Observation f6427790-add4-4399-ba0e-9dd4f2a67756 · outbound

This paper cites Learning Spatiotemporal Features via Video and Text Pair Discrimination.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Learning Spatiotemporal Features via Video and Text Pair Discrimination

Reference 26

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Observation a1d8d62b-3f27-4931-b883-56bd2c53aaa5 · outbound

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

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Quo vadis, action recognition? a new model and the kinetics dataset

Reference 27

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 28

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This paper cites MultiMAE: Multi-modal Multi-task Masked Autoencoders.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning MultiMAE: Multi-modal Multi-task Masked Autoencoders

Reference 29

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This paper cites VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling

Reference 30

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This paper cites LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling

Reference 31

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Observation 37845baf-0dba-4d3b-915d-9899e0d124a2 · outbound

This paper cites Merlot reserve: Neural script knowledge through vision and language and sound.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Merlot reserve: Neural script knowledge through vision and language and sound

Reference 32

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This paper cites Unsupervised visual representation learning by context prediction.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Unsupervised visual representation learning by context prediction

Reference 33

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This paper cites Unsupervised learning of visual representations using videos.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Unsupervised learning of visual representations using videos

Reference 34

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This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 35

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This paper cites Colorful image colorization.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Colorful image colorization

Reference 36

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This paper cites Masked Autoencoders As Spatiotemporal Learners.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Masked Autoencoders As Spatiotemporal Learners

Reference 37

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This paper cites Unsupervised feature learning via non-parametric instance discrimination.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Unsupervised feature learning via non-parametric instance discrimination

Reference 38

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This paper cites Momentum contrast for unsupervised visual representation learning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Momentum contrast for unsupervised visual representation learning

Reference 39

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This paper cites A simple framework for contrastive learning of visual representations.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning A simple framework for contrastive learning of visual representations

Reference 40

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This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Bootstrap your own latent-a new approach to self-supervised learning

Reference 41

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This paper cites Exploring simple siamese representation learning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Exploring simple siamese representation learning

Reference 42

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InternVideo: General Video Foundation Models via Generative and Discriminative Learning Generative pretraining from pixels

Reference 43

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This paper cites Zero-shot text-to-image generation.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Zero-shot text-to-image generation

Reference 44

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Observation 125ac4f9-8d1b-4e65-b57b-9c292d5d28cf · outbound

This paper cites Bevt: Bert pretraining of video transformers.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Bevt: Bert pretraining of video transformers

Reference 45

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Observation 25cf0191-21ab-4879-bf31-b02cacfb6501 · outbound

This paper cites End-to-end learning of visual representations from uncurated instructional videos.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning End-to-end learning of visual representations from uncurated instructional videos

Reference 46

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Observation 1eaf6c1f-7f3f-4dbd-8fe1-793a40eb840d · outbound

This paper cites VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.372393Z

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Observation 0d455d99-3861-4248-9217-1b71bfe27ee0 · outbound

This paper cites Scaling up vision- language pre-training for image captioning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Scaling up vision- language pre-training for image captioning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.393606Z

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Observation 45bb48ee-1534-460b-a89a-e4629a7ed4aa · outbound

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

InternVideo: General Video Foundation Models via Generative and Discriminative Learning An empirical study of training end-to-end vision-and-language transformers

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.395470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb05c3d7-b7f6-4b6a-aace-20d7ebb73939 · outbound

This paper cites How Much Can CLIP Benefit Vision-and-Language Tasks?.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning How Much Can CLIP Benefit Vision-and-Language Tasks?

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.287756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 394409b5-09ee-46ff-b7a7-49f06cd927e2 · outbound

This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.293435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94c2227e-51bf-41c5-9628-3d813875b9b9 · outbound

This paper cites Murphy, and Cordelia Schmid.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Murphy, and Cordelia Schmid

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.397390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a3db7f46-f5c6-47cf-ac64-c8eacf823504 · outbound

This paper cites Actbert: Learning global-local video-text representations.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Actbert: Learning global-local video-text representations

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.399479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab0c1b3e-9a54-42b4-9d74-cbac6ed77c38 · outbound

This paper cites Less is more: Clipbert for video-and-language learning via sparse sampling.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Less is more: Clipbert for video-and-language learning via sparse sampling

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.401395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed286fd8-33ec-4656-841a-605e03c91755 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.403232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df6acf2d-ce08-4040-9031-ec1f5337f94f · outbound

This paper cites UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.339682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation daf2cd83-44df-4d94-9636-da67314f460f · outbound

This paper cites InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.342706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 125f031c-56af-4fb1-b9c2-54c26841c724 · outbound

This paper cites Vivit: A video vision transformer.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Vivit: A video vision transformer

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.405084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a0f9a437-972d-46b2-8949-b337cfbdb66f · outbound

This paper cites Video swin transformer.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Video swin transformer

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.407101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c835898-0ae6-401d-baf2-dc100efc610b · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Align before fuse: Vision and language representation learning with momentum distillation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.409165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb220de4-fd55-4eb4-88c9-1ec6f7541301 · outbound

This paper cites Bsn: Boundary sensitive network for temporal action proposal generation.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Bsn: Boundary sensitive network for temporal action proposal generation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.410972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f153cb14-1f77-4a63-9bc8-deed1fe2a383 · outbound

This paper cites Bmn: Boundary-matching network for temporal action proposal generation.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Bmn: Boundary-matching network for temporal action proposal generation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.412743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cfb36e00-385d-4d5f-b291-c5053f1307ec · outbound

This paper cites Augment your batch: Improving generalization through instance repetition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Augment your batch: Improving generalization through instance repetition

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.414525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a556e19c-29e9-48f8-9636-437f237f3bcf · outbound

This paper cites Uniformer: Uniﬁed transformer for efﬁcient spatial-temporal representation learning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Uniformer: Uniﬁed transformer for efﬁcient spatial-temporal representation learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.416433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 553d1d0d-c341-41f6-b7f2-3cc8e6a5c298 · outbound

This paper cites Temporal segment networks: Towards good practices for deep action recognition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Temporal segment networks: Towards good practices for deep action recognition

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.418486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c47372a-b8a2-42a4-8a05-2c885d9bebc2 · outbound

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

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.420442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06eee4ec-f8b8-422c-8a69-cea7ef01bac1 · outbound

This paper cites Ava: A video dataset of spatio-temporally localized atomic visual actions.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Ava: A video dataset of spatio-temporally localized atomic visual actions

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.422380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f365664f-37db-4ab0-9990-5cf0a2a5d10d · outbound

This paper cites something something.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning something something

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.424590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a79c3217-3bd8-4419-ac62-458aabe245d0 · outbound

This paper cites A Short Note about Kinetics-600.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning A Short Note about Kinetics-600

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:36:53.312698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25073e3d-7956-4d69-b3ea-815b437f8a5d · outbound

This paper cites A Short Note on the Kinetics-700 Human Action Dataset.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning A Short Note on the Kinetics-700 Human Action Dataset

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.317677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7473c7a-7460-4718-ae07-d8ac09ecd542 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:36:53.321624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49c0baeb-7464-4264-972c-23a6bdcbc89b · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Flamingo: a Visual Language Model for Few-Shot Learning

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:36:53.325661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28f5ce3e-010a-4d07-bc33-0c600825708b · outbound

This paper cites Ean: event adaptive network for enhanced action recognition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Ean: event adaptive network for enhanced action recognition

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.426987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6fb0d7a-bf64-464e-b8bd-c12b02062df7 · outbound

This paper cites Slowfast networks for video recognition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Slowfast networks for video recognition

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.429068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe0f9f6c-549b-44d7-891d-afa458f2b9ed · outbound

This paper cites Temporal context aggregation network for temporal action proposal reﬁnement.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Temporal context aggregation network for temporal action proposal reﬁnement

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.431590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b520d146-266c-40ca-933f-6f726ee4d751 · outbound

This paper cites Tsp: Temporally-sensitive pretraining of video encoders for localization tasks.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Tsp: Temporally-sensitive pretraining of video encoders for localization tasks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.434466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2ab8484b-ddaf-4b2d-9574-27f03a4e1f38 · outbound

This paper cites Actor-context-actor relation network for spatio-temporal action localization.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Actor-context-actor relation network for spatio-temporal action localization

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.437790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1cda90a1-64f6-429e-9734-f7175806b97a · outbound

This paper cites Relation Modeling in Spatio-Temporal Action Localization.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Relation Modeling in Spatio-Temporal Action Localization

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.348925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1bbe1b0d-3e33-46ad-94c2-9f3cbdf14c85 · outbound

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

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Activitynet: A large-scale video benchmark for human activity understanding

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.441544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b058bb58-df2e-4099-800b-aac3f4266817 · outbound

This paper cites Hacs: Human action clips and segments dataset for recognition and temporal localization.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Hacs: Human action clips and segments dataset for recognition and temporal localization

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.444418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21385d48-09e2-42cc-a87e-aa3ed4f73611 · outbound

This paper cites Hmdb: a large video database for human motion recognition.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Hmdb: a large video database for human motion recognition

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.446490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a441b6ad-3c9a-4642-9523-12edc9633dfb · outbound

This paper cites in the wild.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning in the wild

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.448820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e58262bb-91a9-4abe-9fe1-5ecb4a666e31 · outbound

This paper cites Fineaction: A ﬁne-grained video dataset for temporal action localization.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Fineaction: A ﬁne-grained video dataset for temporal action localization

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.451543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 305de34c-d1fc-4b85-9f6a-546e3a9cb41d · outbound

This paper cites The AVA-Kinetics Localized Human Actions Video Dataset.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning The AVA-Kinetics Localized Human Actions Video Dataset

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:36:53.369430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 95ff95e0-14bf-4c78-96b8-15bb76c2dd87 · outbound

This paper cites Microsoft coco: Common objects in context.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Microsoft coco: Common objects in context

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.454159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4bca6380-1687-4bec-a8b5-85130b0ec985 · outbound

This paper cites Mask r-cnn.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Mask r-cnn

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.456500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 395d12ae-d898-47ed-ac60-b6fc9cfe6bb8 · outbound

This paper cites Asynchronous interaction aggregation for action detection.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Asynchronous interaction aggregation for action detection

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.458816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4dc41450-fea2-4490-b286-f4a94198cb14 · outbound

This paper cites Ts2-net: Token shift and selection transformer for text-video retrieval.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Ts2-net: Token shift and selection transformer for text-video retrieval

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.461068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2fab92fb-d8e8-4498-bf7c-4907c4130824 · outbound

This paper cites Bridging the gap between learning in discrete and continuous environments for vision-and-language navigation.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Bridging the gap between learning in discrete and continuous environments for vision-and-language navigation

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.463399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a182d2a-0e0a-4dae-af1e-d1df9e27c009 · outbound

This paper cites 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022).

InternVideo: General Video Foundation Models via Generative and Discriminative Learning 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.298941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 779a5061-293a-4889-b7ae-50a2d3404ad7 · outbound

This paper cites Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.304132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b002104-5b7f-4200-8540-ec9801a7d1a6 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Msr-vtt: A large video description dataset for bridging video and language

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.465903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 35ac8685-0577-4375-8322-4b7df5fdb57b · outbound

This paper cites Deep learning for video classiﬁcation and captioning.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Deep learning for video classiﬁcation and captioning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.468135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc73f63c-03e0-4c40-b633-dcca7f1df363 · outbound

This paper cites Localizing moments in video with natural language.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Localizing moments in video with natural language

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.470503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e29b554-3fed-44f5-b3c5-7e01be66b7ac · outbound

This paper cites A dataset for movie description.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning A dataset for movie description

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.473009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8dc8f73-21ef-41d4-a06e-5d4b69662908 · outbound

This paper cites Vatex: A large-scale, high-quality multilingual dataset for video-and-language research.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Vatex: A large-scale, high-quality multilingual dataset for video-and-language research

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.475759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ab77ef9-76a9-42c5-95ec-bc1c2c80ac1b · outbound

This paper cites Collecting highly parallel data for paraphrase evaluation.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Collecting highly parallel data for paraphrase evaluation

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.478587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc7b93fb-238a-4ac4-9d47-c0f4619a54a2 · outbound

This paper cites Tgif: A new dataset and benchmark on animated gif description.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Tgif: A new dataset and benchmark on animated gif description

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.481235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation afc4b203-517b-48ba-9b13-feab2632f974 · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.484026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 355c2f4b-df10-4abb-bffc-11ef4e25dae4 · outbound

This paper cites Beyond the nav-graph: Vision-and-language navigation in continuous environments.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning Beyond the nav-graph: Vision-and-language navigation in continuous environments

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:36:53.486843Z

Source-reported events for the cited work

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Pith citing papers

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Reference 195

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MVBench: A Comprehensive Multi-modal Video Understanding Benchmark cites this paper.

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Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

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Towards Long Video Understanding via Fine-detailed Video Story Generation cites this paper.

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Multimodal Contextualized Support for Enhancing Video Retrieval System cites this paper.

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Gramian Multimodal Representation Learning and Alignment cites this paper.

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Reference 2019

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Reference 62

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Reference 192

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Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries cites this paper.

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Reference 37

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Reference 50

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Reference 2017

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Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models cites this paper.

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Reference 53

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Reference 173

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Reference 46

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Reference 36

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Reference 67

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Reference 2022

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Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos cites this paper.

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Reference 87

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Reference 70

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Reference 23

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Large-scale Self-supervised Video Foundation Model for Intelligent Surgery cites this paper.

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Reference 30

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Reference 10

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Reference 109

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DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval cites this paper.

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Reference 50

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Vision Generalist Model: A Survey cites this paper.

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Reference 177

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Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model cites this paper.

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Reference 21

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EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric Optimization cites this paper.

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Reference 5

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IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes cites this paper.

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Reference 52

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DIVE: Deep-search Iterative Video Exploration A Technical Report for the CVRR Challenge at CVPR 2025 cites this paper.

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MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding cites this paper.

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Reference 19

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Reference 63

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Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning cites this paper.

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Reference 19

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Reference 43

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Observation dae05960-f941-4840-985e-c37e44273954 · inbound

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding cites this paper.

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Reference 41

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Observation 90af2435-5042-4201-ad4c-2e1abd6c5506 · inbound

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning cites this paper.

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Reference 77

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LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering cites this paper.

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Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T15:53:33.985536Z

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Observation f72bac2e-7def-4f46-a900-25c955dfb1f9 · inbound

A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications cites this paper.

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Reference 137

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Observation 2228c1a3-fef8-4a05-9d27-bde4302af7f0 · inbound

VideoMind: An Omni-Modal Video Dataset with Intent Grounding for Deep-Cognitive Video Understanding cites this paper.

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Reference 19

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Observation 6a9aaa68-a589-4f06-9676-baa83d4ef10e · inbound

Object-centric Video Question Answering with Visual Grounding and Referring cites this paper.

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Reference 57

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Observation af83d3d0-c08e-4df0-801c-d839ffb69237 · inbound

Representation Shift: Unifying Token Compression with FlashAttention cites this paper.

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Reference 62

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Observation d3969c71-fd3e-4fd9-a942-9c16d6e17c84 · inbound

TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding cites this paper.

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Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:36.666749Z

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Observation cdb02b9b-67d9-4830-be24-be0b0b3b54f8 · inbound

VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering cites this paper.

VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T04:49:41.380659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6867581-5b02-4758-9364-ed0c7a825638 · inbound

A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.

A Survey on Video Temporal Grounding with Multimodal Large Language Model InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T23:32:17.441242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42adbfc4-cee6-4148-924c-fb69c2c67615 · inbound

SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding cites this paper.

SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T13:46:01.537622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0fc6081-e0ab-4d7b-aab9-69f4f9ca65f5 · inbound

Video Understanding by Design: How Datasets Shape Video Models cites this paper.

Video Understanding by Design: How Datasets Shape Video Models InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:41.645943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83e97f27-3ede-4322-9404-30dabd8d60ff · inbound

Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs cites this paper.

Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T13:27:57.880798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cab872b-e3ab-488b-b404-c942bc03d25f · inbound

POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency cites this paper.

POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T13:22:35.256568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f8e7fc-8aca-4f6f-b9a0-9fe7d3c6f1cb · inbound

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding cites this paper.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.841249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54858588-607d-4546-a315-28a6f8808edb · inbound

Calibrated Multimodal Representation Learning with Missing Modalities cites this paper.

Calibrated Multimodal Representation Learning with Missing Modalities InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:10:22.648940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0bd9ef4e-cd8a-4dfd-8f4b-c25aa71efffe · inbound

MemVerse: Multimodal Memory for Lifelong Learning Agents cites this paper.

MemVerse: Multimodal Memory for Lifelong Learning Agents InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T18:49:01.911861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c5d2f2-9c0e-49b3-b0e0-b42e0379d4fd · inbound

TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning cites this paper.

TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-17T02:18:52.306944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37572fa0-5626-4f10-9f5a-258f3dde406e · inbound

Streaming Video Instruction Tuning cites this paper.

Streaming Video Instruction Tuning InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bfaab06c-71e3-421d-9609-00e72cfd5b0b · inbound

A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos cites this paper.

A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb0ed3f3-8518-488b-8bc7-54393e26bd03 · inbound

UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding cites this paper.

UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f3da1ce-7e24-4264-83c9-dc24e3758d6c · inbound

InstrAct: Towards Action-Centric Understanding in Instructional Videos cites this paper.

InstrAct: Towards Action-Centric Understanding in Instructional Videos InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e9056e4-6d5b-4ad1-a422-e1c4b943801b · inbound

Efficient Spatial-Temporal Focal Adapter with SSM for Temporal Action Detection cites this paper.

Efficient Spatial-Temporal Focal Adapter with SSM for Temporal Action Detection InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80c999f0-f809-4892-80c9-05670df423ee · inbound

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T22:04:31.302192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c3bf265-d301-486d-a0dd-5db372730b9f · inbound

V-Nutri: Dish-Level Nutrition Estimation from Egocentric Cooking Videos cites this paper.

V-Nutri: Dish-Level Nutrition Estimation from Egocentric Cooking Videos InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5abab684-03bd-4f0f-94bf-1dca71245f25 · inbound

Training-Free Semantic Multi-Object Tracking with Vision-Language Models cites this paper.

Training-Free Semantic Multi-Object Tracking with Vision-Language Models InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9b6d375d-c00b-435d-a506-c1877d4b37fa · inbound

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding cites this paper.

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d83e73e6-b449-424e-a5af-6322efd980fc · inbound

FreqFormer: Hierarchical Frequency-Domain Attention with Adaptive Spectral Routing for Long-Sequence Video Diffusion Transformers cites this paper.

FreqFormer: Hierarchical Frequency-Domain Attention with Adaptive Spectral Routing for Long-Sequence Video Diffusion Transformers InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87782323-821d-4a64-9cac-a087cc63c553 · inbound

TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions cites this paper.

TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6bcde318-897e-4397-a625-9d49d956b91c · inbound

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore) cites this paper.

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore) InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 12b3b07f-e37d-4890-a123-a673735728e3 · inbound

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives cites this paper.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 540ed8ae-eb16-47ec-84c2-4491799d41fd · inbound

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs cites this paper.

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:43:28.717924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 548a9304-72f2-43f2-a259-ec377032e5c8 · inbound

Masked Diffusion Vision-Language Models for Temporal Action Localization cites this paper.

Masked Diffusion Vision-Language Models for Temporal Action Localization InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:13.675969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c32974c2-d111-475b-8892-da0514548ff6 · inbound

SlotMemory: Object-Centric KV Memory for Streaming Long-Video Generation cites this paper.

SlotMemory: Object-Centric KV Memory for Streaming Long-Video Generation InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:25:59.915450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15d7c3b1-9c1e-4b97-8b57-739a3057391c · inbound

Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval cites this paper.

Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.675454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3bb252a5-28db-4320-8be4-cd59e35bf2ed · inbound

Hand Trajectory Fusion for Egocentric Natural Language Query Grounding cites this paper.

Hand Trajectory Fusion for Egocentric Natural Language Query Grounding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:16:23.361936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 02c8d935-0e67-4f5c-bb43-a3de99cb64fd · inbound

Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation? cites this paper.

Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation? InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.973260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 783c631f-84aa-4d63-91a5-94c250fdfd21 · inbound

Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding cites this paper.

Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:07:12.866731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80ea8512-3fdd-4a73-a8a0-9b80926e8809 · inbound

OmniGen-AR: AutoRegressive Any-to-Image Generation cites this paper.

OmniGen-AR: AutoRegressive Any-to-Image Generation InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:47:29.719943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 819f3b21-28cb-44ed-80f0-95472100bc9e · inbound

CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning cites this paper.

CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:17:29.029387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0370a05a-f20c-4ca0-81a3-e3dabcc01d6a · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 118

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.081920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c65d055d-8457-4dd4-ad6e-f5aea84e5f40 · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 259

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T14:28:32.148227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 298abd9b-abef-4d23-bef4-ee332f59169d · inbound

CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation cites this paper.

CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-07-03T14:58:32.699908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 896845f4-3d43-4c4e-b595-bd8a8b081d21 · inbound

LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams cites this paper.

LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-03T20:38:56.183828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cbf220b3-9e5e-4017-9a65-c6385dd757a5 · inbound

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval cites this paper.

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T05:49:36.553029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba56b6ce-d30e-499e-a94c-ef4e93ca4736 · inbound

T-MOR: Learning Motion-Aware Skeleton Representations for Human Action Recognition cites this paper.

T-MOR: Learning Motion-Aware Skeleton Representations for Human Action Recognition InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:09:37.770438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5144b89b-7a7f-47d7-a87e-287d799f017e · inbound

TuringViT: Making SOTA Vision Transformers Accessible to All cites this paper.

TuringViT: Making SOTA Vision Transformers Accessible to All InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-04T16:29:57.892760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 51a988bd-d8ea-4162-a98f-522828bf77c1 · inbound

TuringViT: Making SOTA Vision Transformers Accessible to All cites this paper.

TuringViT: Making SOTA Vision Transformers Accessible to All InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T15:03:32.165860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10770e63-f3c8-4620-824e-8f9dae2936e3 · inbound

Toward Low-Latency Vision-Language Models with Doubly-Correct Predictions in Egocentric Visual Understanding cites this paper.

Toward Low-Latency Vision-Language Models with Doubly-Correct Predictions in Egocentric Visual Understanding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:20:00.467194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8e3dfb14-5527-4d05-8da4-b95867e89cb9 · inbound

Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction cites this paper.

Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-06-30T07:54:22.348256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6c80b62f-cce4-4116-aa83-1fa1c792e7a0 · inbound

Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data cites this paper.

Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-14T14:53:56.693464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a0f75f7-93bf-4245-8d69-58171fbfda0b · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-14T12:26:27.446079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0e695a-a4a4-444a-a26d-3d23e63848d7 · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T07:21:32.526822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1713cb65-6caf-4f72-b2fc-2735c535ed09 · inbound

VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders cites this paper.

VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T02:51:46.752509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.