Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:15:12.043189Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:15:12.043189Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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72 of 72 outbound references displayed
External citation measurements
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Observation bd824d81-7dc1-43cc-ac65-1ed12877a45b · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Ac- cessed: November 7, 2024
Reference 1
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Observation 6a2b04ca-dfa7-44c2-af3b-62e48485b8d7 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Flamingo: a visual language model for few-shot learning.NeurIPS, 2022
Reference 2
Source-reported events for the cited work
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Observation fbf94b98-3803-469a-aa91-306c0abe7191 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Vivit: A video vi- sion transformer
Reference 3
Source-reported events for the cited work
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Observation 31912892-5277-4454-b46d-65e9b49d2e42 · outbound
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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Observation 31bc2ae1-01bb-4158-a96c-c3dd1b7c4ac5 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 177c5610-3aae-4737-9e02-5adfa637b4ec · outbound
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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Observation 07c27c2b-39d0-49ef-ae58-41c04cfc5e33 · outbound
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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Observation be6871d9-80ef-4685-bff0-8191cab3de06 · outbound
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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Observation 1ae80cd6-d83d-4367-a3e1-ec496b0cbe17 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications A Foundation Model for the Earth System
Reference 9
Source-reported events for the cited work
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Observation 971561e2-ebf4-42d2-bbe5-26604c176105 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications On the Opportunities and Risks of Foundation Models
Reference 10
Source-reported events for the cited work
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Observation cd2fcdce-93e6-443e-a1d2-e60e744413ca · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Scaling 4D Representations
Reference 11
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Observation b81a03e5-9d1e-4e90-8706-4351df16e912 · outbound
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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Observation 65eebbbc-3a56-42b6-962b-db02c3e4df9b · outbound
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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Observation ac1cfd27-df27-43a3-a35b-cdc13106ac53 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey
Reference 14
Source-reported events for the cited work
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Observation 476e6f64-51d9-4258-b43d-5789276f5f42 · outbound
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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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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Observation 22fabec3-6b73-43cd-9b06-39c354fdaa94 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications The Llama 3 Herd of Models
Reference 17
Source-reported events for the cited work
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Observation d0409a3f-d82c-4489-9a12-4df4e48b98ff · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Scaling Spherical CNNs
Reference 18
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Observation f369b554-ef61-4911-a06b-8dce12553229 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Detecting social actions of fruit flies
Reference 19
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Observation 4046dd7c-1dbe-445b-b3bd-f554810e089f · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications PhilEO bench: Evaluating geo-spatial foundation models
Reference 20
Source-reported events for the cited work
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Observation 959d5ff8-01a3-4ece-9553-accb8c0b727e · outbound
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
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Reference 22
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Observation 48ce0fba-8cd9-4e4a-9b59-88254ec69122 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Self-supervised learning for en- doscopic video analysis
Reference 23
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Observation f9c273d3-d4b6-4a99-bef4-3805254a21f1 · outbound
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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Observation 1ce275c9-d50a-4cfb-a957-6a215b1f2aab · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation models for spatiotemporal tasks in the physical world
Reference 25
Source-reported events for the cited work
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Observation caca4562-e55d-4a82-9029-071207f5c368 · outbound
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
Source-reported events for the cited work
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Observation 13b7153f-c29c-41cd-a07c-db2b09a2c61d · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications The Kinetics Human Action Video Dataset
Reference 27
Source-reported events for the cited work
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Observation ad4367af-f079-47d4-ab1e-b69a2b96adf5 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Forecasting Global Weather with Graph Neural Networks
Reference 28
Source-reported events for the cited work
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Observation 29db881c-a7d5-46c6-b045-ee2a415dbb04 · outbound
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
Source-reported events for the cited work
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Observation eb300df2-19d3-4809-a1f6-eac1c473ccc1 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Neural general circulation models for weather and climate.Nature, 2024
Reference 30
Source-reported events for the cited work
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Observation 9b212f4e-87cd-4a97-9559-802aacf37343 · outbound
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
Source-reported events for the cited work
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Observation cdb3a037-ecd8-47df-ba76-63e67dfaf786 · outbound
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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Observation a8ace931-45ae-41a2-bcf2-826ac6c4ec44 · outbound
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Reference 33
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Observation 1ea49c43-1657-4f6d-b902-8afa32629b3c · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Reference 34
Source-reported events for the cited work
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Observation 96e8d6c8-6b94-4a7c-858a-41c6d6ec7f7d · outbound
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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Observation c3dbb334-521f-4e1a-9a10-e5abb8f48053 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Reference 36
Source-reported events for the cited work
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Observation d21fed4b-9c62-4799-aaf2-71ddaa2232ec · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Foundation Models for Video Understanding: A Survey
Reference 37
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Observation 80f7ab7f-4e9f-4b29-8eba-220e55327ab9 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Martinez
Reference 38
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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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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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SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications MFT: Long- term tracking of every pixel
Reference 41
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Reference 42
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SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications ClimaX: A foundation model for weather and climate
Reference 43
Source-reported events for the cited work
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Observation 1a0a1428-c683-4fb0-9a1f-05ed19bc4cbd · outbound
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Reference 44
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Observation 55248177-4ef0-4652-b9db-ca2174252667 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Probabilistic weather forecasting with machine learn- ing.Nature, 2025
Reference 45
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Observation a1131a77-0892-410a-914c-6446c1324f2a · outbound
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Reference 46
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Observation 2050d16a-bba9-4017-ad11-da2171f4b141 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Vi- sion transformers for dense prediction
Reference 47
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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
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Observation 6708f4c8-d15e-4e0b-aeb5-770756e91fa7 · outbound
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Donti, Lynn H
Reference 49
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Reference 50
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Reference 51
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Reference 52
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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
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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
Source-reported events for the cited work
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Reference 55
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Reference 56
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Reference 57
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Reference 58
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Reference 59
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Reference 60
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SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Bergen, Carla P
Reference 61
Source-reported events for the cited work
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Observation 0766bebb-ce4c-47d4-ad37-3e1914a5a427 · outbound
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Reference 62
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Reference 63
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Reference 64
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Reference 65
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Reference 66
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Observation 5812fcff-a851-4dac-a336-93cf7ff6a952 · outbound
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Reference 67
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Reference 68
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SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications A generalist vision–language foundation model for diverse biomedical tasks.Nature Medicine, 2024
Reference 69
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SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Videoprism: A foundational visual encoder for video understanding
Reference 70
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Reference 71
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Reference 72
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Reference 41
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