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Paper Citation Record · LEDGER

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications

As of 21 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2507.03578.

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

pith.paper-citation-record.v1
2507.03578 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:15:12.043189Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T08:50:05.980191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

72 of 72 outbound references displayed

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  • verified fuzzy43
  • unresolved28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd824d81-7dc1-43cc-ac65-1ed12877a45b · outbound

This paper cites Ac- cessed: November 7, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Ac- cessed: November 7, 2024

Reference 1

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Source-reported events for the cited work

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

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Observation 6a2b04ca-dfa7-44c2-af3b-62e48485b8d7 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.NeurIPS, 2022.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Flamingo: a visual language model for few-shot learning.NeurIPS, 2022

Reference 2

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no resolver link, observed 2026-08-06T20:15:05.667645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:05.667645Z digest=sha256:85bc0c141a09a675e6ab6d6b692bfa2907d00ea46af0c2dba918a216ab6df747

Observation fbf94b98-3803-469a-aa91-306c0abe7191 · outbound

This paper cites Vivit: A video vi- sion transformer.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Vivit: A video vi- sion transformer

Reference 3

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:05.740023Z digest=sha256:e1182471da8163fb234479af227089d6050ba5243a753bbf871a07e365e42de3

Observation 31912892-5277-4454-b46d-65e9b49d2e42 · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation models defining a new era in vision: a survey and outlook

Reference 4

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raw_fallback, observed 2026-08-06T20:15:19.717622Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:05.824314Z digest=sha256:553c07764848e8cd3fb9948525469e028ffc0a326063430d7764c2f92175e9d5

Observation 31bc2ae1-01bb-4158-a96c-c3dd1b7c4ac5 · outbound

This paper cites Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:05.903143Z digest=sha256:2f5a18bd543a034f7720c71b6eeba11fea4a19b744c4c06f766f96ffe15e6b42

Observation 177c5610-3aae-4737-9e02-5adfa637b4ec · outbound

This paper cites Automated audiovisual be- havior recognition in wild primates.Science Advances, 2021.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Automated audiovisual be- havior recognition in wild primates.Science Advances, 2021

Reference 6

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:05.978871Z digest=sha256:74dba00256798a9a1abb33e3f7b7b3645fbfd10adf9ff7f5095f5a48f511dab2

Observation 07c27c2b-39d0-49ef-ae58-41c04cfc5e33 · outbound

This paper cites Revisiting feature prediction for learning visual rep- resentations from video.TMLR, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Revisiting feature prediction for learning visual rep- resentations from video.TMLR, 2024

Reference 7

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:06.055180Z digest=sha256:4aed25ed91e82226b2094f6728ec63e08e90eb20ea16130595d9473a8efd99f1

Observation be6871d9-80ef-4685-bff0-8191cab3de06 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks.Nature, 2023.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Accurate medium-range global weather forecasting with 3d neural networks.Nature, 2023

Reference 8

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raw_fallback, observed 2026-08-06T20:15:18.933296Z

Source-reported events for the cited work

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

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Observation 1ae80cd6-d83d-4367-a3e1-ec496b0cbe17 · outbound

This paper cites A Foundation Model for the Earth System.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications A Foundation Model for the Earth System

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:06.227485Z digest=sha256:edb5dcb9de533464445be93006e50e83d85a7af3a8c24a5a0f84e5ed0a8ccbe9

Observation 971561e2-ebf4-42d2-bbe5-26604c176105 · outbound

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

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications On the Opportunities and Risks of Foundation Models

Reference 10

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no resolver link, observed 2026-08-06T20:15:06.291159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:06.291159Z digest=sha256:a3b50fdcb95fc3048480e67d413256de00b6f1b5257c781bd3441736682f8682

Observation cd2fcdce-93e6-443e-a1d2-e60e744413ca · outbound

This paper cites Scaling 4D Representations.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Scaling 4D Representations

Reference 11

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no resolver link, observed 2026-08-06T20:15:06.382164Z

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source=pdf_text observed=2026-08-06T20:15:06.382164Z digest=sha256:5136f8af54004cc7ce0f8f70a58c7df2fbf664cbb8f7ef1b7154e973a3e7872d

Observation b81a03e5-9d1e-4e90-8706-4351df16e912 · outbound

This paper cites Physical understanding of the tropical cyclone wind-pressure relation- ship.Nature Communications, 2017.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Physical understanding of the tropical cyclone wind-pressure relation- ship.Nature Communications, 2017

Reference 12

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raw_fallback, observed 2026-08-06T20:15:18.637272Z

Source-reported events for the cited work

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

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Observation 65eebbbc-3a56-42b6-962b-db02c3e4df9b · outbound

This paper cites Fuxi: A cascade ma- chine learning forecasting system for 15-day global weather forecast.npj Climate and Atmospheric Science, 2023.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Fuxi: A cascade ma- chine learning forecasting system for 15-day global weather forecast.npj Climate and Atmospheric Science, 2023

Reference 13

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Source-reported events for the cited work

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

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Observation ac1cfd27-df27-43a3-a35b-cdc13106ac53 · outbound

This paper cites Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey

Reference 14

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no resolver link, observed 2026-08-06T20:15:06.651978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:06.651978Z digest=sha256:4ad3e3dd30f72aa81afb3ab0f88eaf1b2407b104cd1fac35f4ba11f1b2d4c2a1

Observation 476e6f64-51d9-4258-b43d-5789276f5f42 · outbound

This paper cites Vision–language foundation model for echocardiogram interpretation.Nature Medicine, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Vision–language foundation model for echocardiogram interpretation.Nature Medicine, 2024

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:18.202978Z

Source-reported events for the cited work

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

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Observation 4e973eb7-2fd0-42f3-a19a-7c2d9497246f · outbound

This paper cites TAP-vid: A bench- mark for tracking any point in a video.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications TAP-vid: A bench- mark for tracking any point in a video

Reference 16

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raw_fallback, observed 2026-08-06T20:15:18.008433Z

Source-reported events for the cited work

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

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Observation 22fabec3-6b73-43cd-9b06-39c354fdaa94 · outbound

This paper cites The Llama 3 Herd of Models.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications The Llama 3 Herd of Models

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:06.897605Z digest=sha256:9066fb635f2986515ed9c24e93ba120caa84ec139d80680cb89bf950b2edbd36

Observation d0409a3f-d82c-4489-9a12-4df4e48b98ff · outbound

This paper cites Scaling Spherical CNNs.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Scaling Spherical CNNs

Reference 18

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no resolver link, observed 2026-08-06T20:15:06.967221Z

Source-reported events for the cited work

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Observation f369b554-ef61-4911-a06b-8dce12553229 · outbound

This paper cites Detecting social actions of fruit flies.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Detecting social actions of fruit flies

Reference 19

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raw_fallback, observed 2026-08-06T20:15:17.806729Z

Source-reported events for the cited work

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

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Observation 4046dd7c-1dbe-445b-b3bd-f554810e089f · outbound

This paper cites PhilEO bench: Evaluating geo-spatial foundation models.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications PhilEO bench: Evaluating geo-spatial foundation models

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:17.614153Z

Source-reported events for the cited work

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

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Observation 959d5ff8-01a3-4ece-9553-accb8c0b727e · outbound

This paper cites Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

Reference 21

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Observation 26e955b2-7fab-4b58-b9b1-a93f9e762d30 · outbound

This paper cites an unresolved cited work.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-06T20:15:17.429755Z

Source-reported events for the cited work

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

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Observation 48ce0fba-8cd9-4e4a-9b59-88254ec69122 · outbound

This paper cites Self-supervised learning for en- doscopic video analysis.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Self-supervised learning for en- doscopic video analysis

Reference 23

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Source-reported events for the cited work

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

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Observation f9c273d3-d4b6-4a99-bef4-3805254a21f1 · outbound

This paper cites LoRA: Low-rank adaptation of large lan- guage models.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications LoRA: Low-rank adaptation of large lan- guage models

Reference 24

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Source-reported events for the cited work

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

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Observation 1ce275c9-d50a-4cfb-a957-6a215b1f2aab · outbound

This paper cites Foundation models for spatiotemporal tasks in the physical world.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation models for spatiotemporal tasks in the physical world

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:17.134679Z

Source-reported events for the cited work

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

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Observation caca4562-e55d-4a82-9029-071207f5c368 · outbound

This paper cites Animal-bench: Benchmarking multimodal video models for animal-centric video understanding.NeuRIPS, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Animal-bench: Benchmarking multimodal video models for animal-centric video understanding.NeuRIPS, 2024

Reference 26

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Source-reported events for the cited work

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

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Observation 13b7153f-c29c-41cd-a07c-db2b09a2c61d · outbound

This paper cites The Kinetics Human Action Video Dataset.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications The Kinetics Human Action Video Dataset

Reference 27

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no resolver link, observed 2026-08-06T20:15:07.522439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:07.522439Z digest=sha256:c0aa7742ef9cb383ced6e7572cc3508563b8aed7014c853f5ae0f938f325b56a

Observation ad4367af-f079-47d4-ab1e-b69a2b96adf5 · outbound

This paper cites Forecasting Global Weather with Graph Neural Networks.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Forecasting Global Weather with Graph Neural Networks

Reference 28

Resolution
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no resolver link, observed 2026-08-06T20:15:07.599701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:07.599701Z digest=sha256:ba1a23b78494f0e5904be71a710a06d12d83c86dc57d1ec7ece2e37047756dcf

Observation 29db881c-a7d5-46c6-b045-ee2a415dbb04 · outbound

This paper cites Digital typhoon: Long-term satellite image dataset for the spatio-temporal modeling of tropical cyclones.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Digital typhoon: Long-term satellite image dataset for the spatio-temporal modeling of tropical cyclones

Reference 29

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verified fuzzy
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Source-reported events for the cited work

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

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Observation eb300df2-19d3-4809-a1f6-eac1c473ccc1 · outbound

This paper cites Neural general circulation models for weather and climate.Nature, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Neural general circulation models for weather and climate.Nature, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:16.821803Z

Source-reported events for the cited work

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

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Observation 9b212f4e-87cd-4a97-9559-802aacf37343 · outbound

This paper cites Four- castnet: Accelerating global high-resolution weather fore- casting using adaptive fourier neural operators.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Four- castnet: Accelerating global high-resolution weather fore- casting using adaptive fourier neural operators

Reference 31

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raw_fallback, observed 2026-08-06T20:15:16.742060Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:07.798101Z digest=sha256:75d3122209d3af0d7216038e3c7467a13c823495aba9c81e783887ce9d2d118f

Observation cdb3a037-ecd8-47df-ba76-63e67dfaf786 · outbound

This paper cites Learning skillful medium-range global weather forecasting.Science, 2023.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Learning skillful medium-range global weather forecasting.Science, 2023

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:16.629854Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:07.848445Z digest=sha256:972dc4eed89a198b5f4d42e37befb7d72533b1c18f21cbf81831ab5eb6c7fd96

Observation a8ace931-45ae-41a2-bcf2-826ac6c4ec44 · outbound

This paper cites VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:07.890675Z digest=sha256:869007b4e859aa25e4e2d1d01258eddc131db0c72b89d8a3297f0d5906f1b286

Observation 1ea49c43-1657-4f6d-b902-8afa32629b3c · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 34

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:15:07.974974Z digest=sha256:03e34583c684d00c51d9ded4319b0fa719257495de430a72c73007e8a18a8841

Observation 96e8d6c8-6b94-4a7c-858a-41c6d6ec7f7d · outbound

This paper cites Discriminative correlation filter tracker with channel and spatial reliability.IJCV, 2018.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Discriminative correlation filter tracker with channel and spatial reliability.IJCV, 2018

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:16.537610Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.019430Z digest=sha256:67d1783fab9a1121075d1c8d43b617de8e9a98c8ccc4834b4ac4b3a5c24e8f60

Observation c3dbb334-521f-4e1a-9a10-e5abb8f48053 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:08.104009Z digest=sha256:79f49b8cc993315f30d5e0eb42598db629ba0ba71befa15b6e5e587d6fc9561b

Observation d21fed4b-9c62-4799-aaf2-71ddaa2232ec · outbound

This paper cites Foundation Models for Video Understanding: A Survey.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation Models for Video Understanding: A Survey

Reference 37

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no resolver link, observed 2026-08-06T20:15:08.167795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:08.167795Z digest=sha256:e3133ae5994d7e9bb86c79564d3b8c014b064ab279bb14db332a0fbe6395b365

Observation 80f7ab7f-4e9f-4b29-8eba-220e55327ab9 · outbound

This paper cites Martinez.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Martinez

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:16.444177Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.209219Z digest=sha256:b1896b21f6a772c3e8576e7eb5a070606e60c393aff16691da62e02812b4260f

Observation 66004637-f84f-44eb-866f-e865db1de428 · outbound

This paper cites AI Foundation Models for Weather and Climate: Applications, Design, and Implementation.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

Reference 39

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no resolver link, observed 2026-08-06T20:15:08.267455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:08.267455Z digest=sha256:f4ad8f691f75519ca127a7fc0f18afd9576cffb35522d1b3c0d682720066bbdd

Observation b2834046-b7cf-43e2-8989-cd980f10e2d0 · outbound

This paper cites Benchmarking foundation models as feature extractors for weakly-supervised computational pathology.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Benchmarking foundation models as feature extractors for weakly-supervised computational pathology

Reference 40

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unresolved
no resolver link, observed 2026-08-06T20:15:08.318879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:08.318879Z digest=sha256:3af72508bd3d867cbf542cd2578d5ce071436824b67947a72f6f5d2ba077cc00

Observation b8e85317-b503-41d0-bcba-93777c1c1d3d · outbound

This paper cites MFT: Long- term tracking of every pixel.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications MFT: Long- term tracking of every pixel

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:16.339892Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.395898Z digest=sha256:a99b7deef4d4ba343f7b67eda6c34574846ea4bcb80e52bfacd4eab2c5b44cac

Observation 8699e68e-0c2d-429b-9970-b407a41058f9 · outbound

This paper cites Foundation mod- els for science: Progress, opportunities, and challenges (fm4science).

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation mod- els for science: Progress, opportunities, and challenges (fm4science)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:16.208517Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.451539Z digest=sha256:b87ffca1a228a389b90768e4ac5ec8fd4e4025b837aac92ba487fb6811d6fda4

Observation 2d177f38-e246-4d1e-bd41-ae456d558b16 · outbound

This paper cites ClimaX: A foundation model for weather and climate.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications ClimaX: A foundation model for weather and climate

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:08.576726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:08.576726Z digest=sha256:aeca31b4aac6bfed5d94f72ab14e0f45f0e385df8812f39b39d5a9b2f40b131d

Observation 1a0a1428-c683-4fb0-9a1f-05ed19bc4cbd · outbound

This paper cites an unresolved cited work.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:15:15.998038Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.723812Z digest=sha256:5e687f3bf173fb982a49a4ee54778b96dcdf842c79fdc5f85e3f5246a60e0179

Observation 55248177-4ef0-4652-b9db-ca2174252667 · outbound

This paper cites Probabilistic weather forecasting with machine learn- ing.Nature, 2025.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Probabilistic weather forecasting with machine learn- ing.Nature, 2025

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:15.862129Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.865527Z digest=sha256:041fd2cada99cdd67bf47472e458507d65ec1974193c16af0d8929ca5f6904ea

Observation a1131a77-0892-410a-914c-6446c1324f2a · outbound

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

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Learn- ing transferable visual models from natural language super- vision

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:08.914035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:08.914035Z digest=sha256:efbbb6ed403230df6024da71a24a2fe8f66d6d6214b8e90cd8da35ec244265dc

Observation 2050d16a-bba9-4017-ad11-da2171f4b141 · outbound

This paper cites Vi- sion transformers for dense prediction.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Vi- sion transformers for dense prediction

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:15.677463Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.923024Z digest=sha256:acb4696ff5a04589d46e9d3ec3cc9db38df8adf1816e8533fe9af78e44f2a4dc

Observation c8d60469-e4e4-4e06-9768-4ae77aedc8b2 · outbound

This paper cites Weatherbench 2: A benchmark for the next generation of data-driven global weather models.Journal of Advances in Modeling Earth Systems, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Weatherbench 2: A benchmark for the next generation of data-driven global weather models.Journal of Advances in Modeling Earth Systems, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:15.508655Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:08.964906Z digest=sha256:24c27089e4413e219672d1f3693fdc2458e559e9f18b6b71f1731e21fb7add11

Observation 6708f4c8-d15e-4e0b-aeb5-770756e91fa7 · outbound

This paper cites Donti, Lynn H.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Donti, Lynn H

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:15.355224Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:09.037059Z digest=sha256:4e4e20a3f716762a0150545ae9e78760dc0c5eb5869cef3c07d1d15b1418a441

Observation 0b04d748-7ade-4cfd-9a52-d7bced045dbb · outbound

This paper cites General surgery vision transformer: A video pre-trained foundation model for general surgery.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications General surgery vision transformer: A video pre-trained foundation model for general surgery

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:09.177953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:09.177953Z digest=sha256:05f93a8654a8ab58b62aca76981144f11976fbf36b34d7b6e9cf6bb63a357d1b

Observation 90b742e2-ecd8-4d46-9486-abb9e0e85b47 · outbound

This paper cites DiMaio, and Sep- timiu E.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications DiMaio, and Sep- timiu E

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:15.227769Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:09.279894Z digest=sha256:e9fc1723b9986bdf5f03da93e76a6d7e6eea1db067504efe27bc5cee661762a7

Observation b70d863a-ee15-4d65-943d-9eac5bc8645c · outbound

This paper cites Deep Learning and Foundation Models for Weather Prediction: A Survey.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Deep Learning and Foundation Models for Weather Prediction: A Survey

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:09.405163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:09.405163Z digest=sha256:4039b3d6917abdcc49fa86143c3dc8df2487fff8cc6cb8747dbb3ca7c1d9ea5f

Observation f910b252-d73f-41a9-94b6-d92c44a0a3c2 · outbound

This paper cites Us billion-dollar weather and climate disasters: Data sources, trends, accuracy and bi- ases.Natural Hazards, 2013.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Us billion-dollar weather and climate disasters: Data sources, trends, accuracy and bi- ases.Natural Hazards, 2013

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:15.068904Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:09.474388Z digest=sha256:e358ed07cb77d3b8a6c0d9f15fff79db3e4273059edb92a6e8cd2cfff15dd5af

Observation f188940f-3cde-4e8b-b72e-b28c17b08689 · outbound

This paper cites Toward collaborative artificial intelligence development for animal well-being.Journal of the American Veterinary Medical Association, 2025.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Toward collaborative artificial intelligence development for animal well-being.Journal of the American Veterinary Medical Association, 2025

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:14.921165Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:09.557158Z digest=sha256:a1a9a4093d0f0ad5b939ebefd56e689d720b72053dbc033d5852e8e6af41eff2

Observation b5d909ec-489f-494a-a919-37b60c19a12d · outbound

This paper cites The multi-agent behavior dataset: Mouse dyadic social interac- tions.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications The multi-agent behavior dataset: Mouse dyadic social interac- tions

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:14.695809Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:09.654254Z digest=sha256:55e41cc7c3642e965b365e30acd5a372a9117a4a33edfe4f380b1dc96c5782c9

Observation 5804aeea-28a1-4797-a42f-434341e2816d · outbound

This paper cites Sun, Ann Kennedy, Eric Zhan, David J.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Sun, Ann Kennedy, Eric Zhan, David J

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:14.586124Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:09.759835Z digest=sha256:6fd93180f2f1cceea55acdefe834e3a135a8ba04c53d86d99d39d8982dde9cbc

Observation d4df4856-8a21-4efd-91da-12329f318bf3 · outbound

This paper cites Video foundation models for animal behavior analysis.bioRxiv, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Video foundation models for animal behavior analysis.bioRxiv, 2024

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:14.422314Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:09.885346Z digest=sha256:920a05ca008008af7e91d8070d59ffd6cb97dceeb278ef468d1fb3949e4b50b1

Observation 931d0775-ffd5-4e86-8082-01c8e024809f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Gemini: A Family of Highly Capable Multimodal Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:10.047549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:10.047549Z digest=sha256:fa87d506da2f3124e9c15411d56c7889b6072706cad93f554d8fa85b114456e3

Observation 8885c466-ae5e-42fc-8e28-fd31a0b7c973 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Raft: Recurrent all-pairs field transforms for optical flow

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:14.307684Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:10.241819Z digest=sha256:b7c80b013fddb33e64dc48f9b562aab8549a649c1a54b063d27e52a375285ca1

Observation eb94b3de-0f8b-45e2-a3a0-71a8be4ce5e6 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.NeurIPS, 2022.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.NeurIPS, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:14.041844Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:10.375407Z digest=sha256:2368e906d2aba5d44b1c4cead2d185a927c61c9eae7f4c65245b3e05cb92134e

Observation 11c50058-3935-418a-aa86-1c5697c77402 · outbound

This paper cites Bergen, Carla P.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Bergen, Carla P

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:13.887690Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:10.479154Z digest=sha256:73a923149f0056f80b4c8fa52ab1459eec8b55516f3e8b6fd8c333e2d7bdda5f

Observation 0766bebb-ce4c-47d4-ad37-3e1914a5a427 · outbound

This paper cites Videomae v2: Scaling video masked autoencoders with dual masking.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Videomae v2: Scaling video masked autoencoders with dual masking

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:13.710702Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:10.628053Z digest=sha256:14dc7e37d372886b9c55cf2c2faf436eb7e2adecce7771d6b125e4bdf7e0ce17

Observation 8bfbe9db-ce8c-43be-b186-adac9a3252d1 · outbound

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

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications InternVideo: General Video Foundation Models via Generative and Discriminative Learning

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Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:10.801532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:10.801532Z digest=sha256:0ceac5b9f374e0beedde56f6a8d2f7e1079bb97615c62025ddbecde31d369d4d

Observation acb0c8dd-bca3-40ce-a280-a3f7559d8d5a · outbound

This paper cites Foun- dation model for endoscopy video analysis via large-scale self-supervised pre-train.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foun- dation model for endoscopy video analysis via large-scale self-supervised pre-train

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:13.547204Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:11.000082Z digest=sha256:809c0274f63ebf75b9d79f9cbf141e26d4354780165cc94a41b2ada5f776e3a6

Observation ca767c78-136b-4920-98e5-5caa724c9c94 · outbound

This paper cites A Multimodal Vision Foundation Model for Clinical Dermatology.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications A Multimodal Vision Foundation Model for Clinical Dermatology

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Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:11.091896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:11.091896Z digest=sha256:cf3b5deceb1d78c689a5e90655bffc5cb1c25719d7d3531db5788cedd2385d96

Observation 1955884b-238c-418f-b897-9b1f7583f23d · outbound

This paper cites X- pose: Detecting any keypoints.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications X- pose: Detecting any keypoints

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:13.421602Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:11.350163Z digest=sha256:5de3f5c4204187fea3a49a2d77678083c39ca17420e4a48f89efe619571341fa

Observation 5812fcff-a851-4dac-a336-93cf7ff6a952 · outbound

This paper cites Superanimal pretrained pose estimation models for behavioral analysis.Nature communi- cations, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Superanimal pretrained pose estimation models for behavioral analysis.Nature communi- cations, 2024

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:13.228041Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:11.530401Z digest=sha256:b9342f5805fcc43a9697cd5a11e7a2c2a5c9512cf447819ed0b855c0df77009e

Observation badfa012-8105-4c44-a646-da33a4610bba · outbound

This paper cites VideoGLUE: Video General Understanding Evaluation of Foundation Models.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications VideoGLUE: Video General Understanding Evaluation of Foundation Models

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Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:11.653133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:11.653133Z digest=sha256:a9eebd1fb1ff492508c7fefb3af59619f125b8baf10886bbf50412b1e34a1749

Observation 84224969-cd44-49b8-a6d5-f99aa27039b9 · outbound

This paper cites A generalist vision–language foundation model for diverse biomedical tasks.Nature Medicine, 2024.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications A generalist vision–language foundation model for diverse biomedical tasks.Nature Medicine, 2024

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:13.075011Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:11.818165Z digest=sha256:5925cd2e1a3bc6d15d5f252aedcdc61f5e8c8453f1abaa393016d9142ca1ea36

Observation 4dcdcc90-6f9b-4b70-9a0b-871c01d1c545 · outbound

This paper cites Videoprism: A foundational visual encoder for video understanding.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Videoprism: A foundational visual encoder for video understanding

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:12.840958Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T20:15:11.897265Z digest=sha256:dd48050146a3d03131ce181203452885b867055d74abf85e5848fa4661b5e414

Observation 753dd348-577b-422b-8fc2-56070624a19d · outbound

This paper cites BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

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Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:11.959823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:11.959823Z digest=sha256:edde1513c2038c5e37dde03b27bbf1b3a09ff8097d5fd62eaac09f22169679e8

Observation 6ccff515-fe59-4df5-b462-29fd71c62f08 · outbound

This paper cites CLIP in Medical Imaging: A Survey.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications CLIP in Medical Imaging: A Survey

Reference 72

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malformed identifier
no resolver link, observed 2026-08-06T20:15:12.043189Z

Source-reported events for the cited work

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Pith citing papers

Observation 6edd2d35-4385-4c45-b3be-0f917bf017c1 · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications

Reference 41

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verified exact
arxiv_id, observed 2026-05-09T04:30:10.750824Z

Source-reported events for the cited work

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

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