DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval | Paper Citation Record

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This paper cites Localizing mo- ments in video with natural language.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Localizing mo- ments in video with natural language

Reference 1

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Observation 8819666a-0375-46b3-b42a-42f9bb34c443 · outbound

This paper cites Vqa: Visual question answering.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Vqa: Visual question answering

Reference 2

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Observation 4628a9ca-b838-4b54-b7ce-56bd9964f1c3 · outbound

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

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 3

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Observation 0b308772-8625-4b7a-b330-03ca9c3b1748 · outbound

This paper cites Cross modal retrieval with querybank normalisation.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Cross modal retrieval with querybank normalisation

Reference 4

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Observation dc198174-2b83-4f14-a585-9fe2ece5a579 · outbound

This paper cites RAP: Efficient text-video retrieval with sparse-and- correlated adapter.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval RAP: Efficient text-video retrieval with sparse-and- correlated adapter

Reference 5

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Observation b5ee4d76-0774-4ee6-9b80-77e60927dd13 · outbound

This paper cites Adaptformer: Adapt- ing vision transformers for scalable visual recognition.Ad- vances in Neural Information Processing Systems, 2022.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Adaptformer: Adapt- ing vision transformers for scalable visual recognition.Ad- vances in Neural Information Processing Systems, 2022

Reference 6

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Observation 23c14efb-88db-425d-b8a0-770b3f7f91d7 · outbound

This paper cites Vast: A vision-audio-subtitle-text omni-modality foundation model and dataset.Advances in Neural Information Processing Sys- tems, 2023.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Vast: A vision-audio-subtitle-text omni-modality foundation model and dataset.Advances in Neural Information Processing Sys- tems, 2023

Reference 7

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Observation 32d8a49a-cd82-4d9a-ac3e-fd9236325f46 · outbound

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

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss

Reference 8

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Observation f48e58cb-3cbe-4924-ba15-f4b2fe443d8c · outbound

This paper cites Prompt switch: Efficient clip adaptation for text-video re- trieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Prompt switch: Efficient clip adaptation for text-video re- trieval

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:39.058173Z

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Observation 97dfb5ab-823f-42b0-a475-1ea517437e7a · outbound

This paper cites Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:39.051684Z

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Observation 41a91c59-7797-47da-890b-a138a5bbbdcf · outbound

This paper cites Repvgg: Making vgg-style convnets great again.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Repvgg: Making vgg-style convnets great again

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:39.044688Z

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Observation 1a91173e-b2c3-4f50-a64c-20c3fbbf3af1 · outbound

This paper cites Improving clip training with language rewrites.Advances in Neural Information Processing Sys- tems, 2024.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Improving clip training with language rewrites.Advances in Neural Information Processing Sys- tems, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:39.038445Z

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Observation 32c04091-3f0f-4b2c-8cd5-ef0c393c6c98 · outbound

This paper cites Multi-modal transformer for video retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Multi-modal transformer for video retrieval

Reference 13

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Observation 9f8a736e-eac1-4dc4-acbb-27e3224e3cfe · outbound

This paper cites X-pool: Cross-modal language-video attention for text- video retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval X-pool: Cross-modal language-video attention for text- video retrieval

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:39.025277Z

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Observation 093d98e5-9f5f-4bc0-af90-1ad33cb684ec · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 15

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Observation 55a5bf61-fbbc-45a9-8b9b-848a786f3dde · outbound

This paper cites Framewise phoneme classification with bidirectional lstm and other neural net- work architectures.Neural Networks, 2005.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Framewise phoneme classification with bidirectional lstm and other neural net- work architectures.Neural Networks, 2005

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:39.018752Z

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Observation 57571e0b-2ffa-47b9-996f-bb3704489bd4 · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Towards a unified view of parameter-efficient transfer learning

Reference 17

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Observation 63af92d2-9708-40f8-bd12-91613cb213f3 · outbound

This paper cites Secret: Self-consistent pseudo label refinement for unsupervised domain adaptive person re-identification.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Secret: Self-consistent pseudo label refinement for unsupervised domain adaptive person re-identification

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:39.008141Z

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Observation 3e4554c0-31bb-48be-b182-ab87fffcf3f1 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Gaussian Error Linear Units (GELUs)

Reference 19

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Observation 82e4b745-76e2-4cf8-b463-6c323e630f29 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Parameter-efficient transfer learning for nlp

Reference 20

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Observation 6625c00c-b459-4507-a833-94e918b277d1 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

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Observation 0329a248-4f29-4b20-8274-a3a2a8f55253 · outbound

This paper cites V op: Text-video co- operative prompt tuning for cross-modal retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval V op: Text-video co- operative prompt tuning for cross-modal retrieval

Reference 22

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Observation 1c1c649c-d85c-4583-90dc-8678cbbb7fbd · outbound

This paper cites Vi- sual prompt tuning.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Vi- sual prompt tuning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.987864Z

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Observation e48bacc2-7389-4021-ac23-3c6a801563a9 · outbound

This paper cites Video- text as game players: Hierarchical banzhaf interaction for cross-modal representation learning.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Video- text as game players: Hierarchical banzhaf interaction for cross-modal representation learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.981161Z

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Observation c79fb09d-18d4-46c3-8db5-a85b3247de15 · outbound

This paper cites Mv-adapter: Multimodal video transfer learning for video text retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Mv-adapter: Multimodal video transfer learning for video text retrieval

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.973336Z

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Observation 903f48d1-5eee-4799-b8b3-5b30427eb340 · outbound

This paper cites Deep visual-semantic align- ments for generating image descriptions.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Deep visual-semantic align- ments for generating image descriptions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.966127Z

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Observation 66598c33-e1f8-43e7-8b1e-b96415f926ba · outbound

This paper cites Maple: Multi-modal prompt learning.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Maple: Multi-modal prompt learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.959199Z

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Observation e1b60c54-ab64-4a65-b8c8-ddbdc45a349a · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Self-regulating prompts: Foundational model adaptation without forgetting

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.952290Z

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Observation be6e81ff-b0a4-4c84-96dd-753df8724479 · outbound

This paper cites Dense-captioning events in videos.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Dense-captioning events in videos

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.945206Z

Source-reported events for the cited work

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Observation 37d14fd7-c852-4144-b417-c8a86a2965dd · outbound

This paper cites Courier Corporation, 1997.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Courier Corporation, 1997

Reference 30

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Observation 0a4cfc7b-c815-4033-bf1b-934abdf1bb8f · outbound

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

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Less is more: Clipbert for video-and-language learning via sparse sampling

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.932510Z

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Observation 92789e07-17c7-4199-bb2a-94da68badea5 · outbound

This paper cites Align before fuse: Vision and language representation learn- ing with momentum distillation.Advances in Neural Infor- mation Processing Systems, 2021.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Align before fuse: Vision and language representation learn- ing with momentum distillation.Advances in Neural Infor- mation Processing Systems, 2021

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.925580Z

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Observation 6669b5e9-2724-497d-9548-25bcd1d9e577 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 33

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

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Unmasked teacher: Towards training-efficient video foundation models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.914431Z

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Observation 2470c477-442b-4551-8d82-6811e1f69e24 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.907185Z

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Observation c4330bd7-a4c8-4b56-b714-198727c40189 · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Sgdr: Stochastic gradient descent with warm restarts

Reference 36

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Observation e6db3627-e858-42d0-b83d-3907c87c4145 · outbound

This paper cites Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning.Neu- rocomputing, 2022.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning.Neu- rocomputing, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.893052Z

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Observation d1a8c765-90e9-45e0-8f5a-0a79c9e6f4c4 · outbound

This paper cites Ea-vtr: Event-aware video-text retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Ea-vtr: Event-aware video-text retrieval

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.886181Z

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Observation 675359d4-1a39-4b9f-b23d-8ee148482d73 · outbound

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

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.879247Z

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Observation cb69a46c-7eb6-4721-ab43-ac139614fd12 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Representation Learning with Contrastive Predictive Coding

Reference 40

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This paper cites Language models are unsu- pervised multitask learners.OpenAI blog, 2019.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Language models are unsu- pervised multitask learners.OpenAI blog, 2019

Reference 41

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Observation f5a8f1e4-476f-4dbb-aadf-fa421504ecd9 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Learn- ing transferable visual models from natural language super- vision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.868194Z

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Observation 3ddc66e8-4b1c-40f1-a540-51cc0dec58eb · outbound

This paper cites The long-short story of movie description.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval The long-short story of movie description

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.859860Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 20943e42-6839-4b62-ad48-600cbe32f003 · outbound

This paper cites TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval

Reference 44

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Observation 5050387a-a682-48d0-87e4-b2319976e873 · outbound

This paper cites X-reid: Cross-instance transformer for identity-level person re- identification.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval X-reid: Cross-instance transformer for identity-level person re- identification

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.852437Z

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Observation a487edaf-4706-4cd6-8dc1-127138457d33 · outbound

This paper cites Zerocap: Zero-shot image-to-text generation for visual- semantic arithmetic.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Zerocap: Zero-shot image-to-text generation for visual- semantic arithmetic

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.845005Z

Source-reported events for the cited work

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Observation f644fda7-d10d-4b96-8176-32ee03ac7e91 · outbound

This paper cites Yolov10: Real-time end-to-end object de- tection.Advances in Neural Information Processing Systems,.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Yolov10: Real-time end-to-end object de- tection.Advances in Neural Information Processing Systems,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.837245Z

Source-reported events for the cited work

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Observation aaef0ede-80b5-4deb-9093-06115b7bdf9d · outbound

This paper cites Text is mass: Modeling as stochastic embedding for text-video retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Text is mass: Modeling as stochastic embedding for text-video retrieval

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.828037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 318d79f3-c194-4bb6-a2ea-277328ae9909 · outbound

This paper cites Disentangled Representation Learning for Text-Video Retrieval.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Disentangled Representation Learning for Text-Video Retrieval

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:38.610482Z

Source-reported events for the cited work

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Observation 300d6d22-2ed4-4a14-89bc-5e3f9fe69607 · outbound

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

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:38.612750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d9f64f-a526-4fb3-8666-890cc69a6917 · outbound

This paper cites Cap4video: What can auxiliary captions do for text-video retrieval? InProceedings of the IEEE Confer- ence on Computer Vision and Pattern Recognition, 2023.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Cap4video: What can auxiliary captions do for text-video retrieval? InProceedings of the IEEE Confer- ence on Computer Vision and Pattern Recognition, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.820295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3bb257c-fec5-4d6a-b455-d1824b8df63d · outbound

This paper cites Demystifying clip data.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Demystifying clip data

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.810675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62a76fcd-6b96-400d-a602-ea4d4ecd08fa · outbound

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

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Msr-vtt: A large video description dataset for bridging video and language

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.802277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2d4fc0f-88d0-4624-877e-0ea3b83a0e31 · outbound

This paper cites Show, attend and tell: Neural image caption gen- eration with visual attention.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Show, attend and tell: Neural image caption gen- eration with visual attention

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.794086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac8193da-961f-4068-b1fb-a10e92076d7c · outbound

This paper cites Clip-vip: Adapting pre-trained image-text model to video-language alignment.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Clip-vip: Adapting pre-trained image-text model to video-language alignment

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.785496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4429bc67-e6b9-413d-8cfc-0eeb2161aa64 · outbound

This paper cites LLMI3D: MLLM-based 3D Perception from a Single 2D Image.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval LLMI3D: MLLM-based 3D Perception from a Single 2D Image

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:04:38.682071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7252e5e-663e-4109-b549-6fbcafb3c3dd · outbound

This paper cites HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:38.627382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbdea981-e643-4f0b-9a62-f98e4d62c816 · outbound

This paper cites Dgl: Dynamic global-local prompt tuning for text-video re- trieval.Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Dgl: Dynamic global-local prompt tuning for text-video re- trieval.Proceedings of the AAAI Conference on Artificial Intelligence, 2024

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.777722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e338126f-3b20-4a2c-813f-89a4f1771003 · outbound

This paper cites Cross-modal and hierarchical modeling of video and text.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Cross-modal and hierarchical modeling of video and text

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.770886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d77fac82-44a4-4399-8190-8b237b154d11 · outbound

This paper cites Neural Prompt Search.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Neural Prompt Search

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:38.634022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e438381-88ec-420d-8564-76c6862d6121 · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Conditional prompt learning for vision-language mod- els

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.763763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60c6db4a-d10a-4ccb-b7c0-3814677297bb · outbound

This paper cites Learning to prompt for vision-language models.Inter- national Journal of Computer Vision, 2022.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Learning to prompt for vision-language models.Inter- national Journal of Computer Vision, 2022

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.755584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 207f0633-d482-4615-9278-a64b4d1f201a · outbound

This paper cites 14,αandβare set to0.3and1.0, respectively.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval 14,αandβare set to0.3and1.0, respectively

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:38.747510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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