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Paper Citation Record · LEDGER

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.09873.

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

pith.paper-citation-record.v1
2608.09873 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:13:23.327672Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact12
  • verified fuzzy10
  • unresolved25
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a3e78b0-ae59-4461-9628-3d7f4c828ef6 · outbound

This paper cites CoRR , volume =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains CoRR , volume =

Reference 1

Resolution
verified exact
doi, observed 2026-08-11T05:13:24.522573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.192411Z digest=sha256:2a71cde55a9eb43f437dfc2317096410409f2f765370d69308de4367c464cba6

Observation f23b3e42-9877-4086-983c-693937b3a45c · outbound

This paper cites CoRR , volume =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains CoRR , volume =

Reference 2

Resolution
verified exact
doi, observed 2026-08-11T05:13:24.331419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.244272Z digest=sha256:fe5ee60306376bee2d9be79b32b9914d1868d3fbd1557ddd380f189562fc5569

Observation 7314f596-b6b4-4c6f-a10c-127b1ec8b0af · outbound

This paper cites 2024 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2024 , url =

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.273079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.273079Z digest=sha256:4acc5836b4d02ae6505ff21842c8ec26de2a6a1a0aa1bf1ddb193c3201d1971f

Observation ef8d48a4-a866-4943-b68d-b10c80435177 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.298512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.298512Z digest=sha256:e0f2de4f45de720d4236f3adf00f6af3551bab89ef3ff3c8f3f008005782d308

Observation 646c45fc-7f83-48dc-8b61-75e135b1c6d2 · outbound

This paper cites GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.316438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.316438Z digest=sha256:55658d2d01955c1ed4dfbc32cd378b474b53fc5c0c22b204d62237f748f1a19d

Observation 807d39f1-b8c6-4c10-aa5c-d084d2f2a2e0 · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains VideoPhy: Evaluating Physical Commonsense for Video Generation , booktitle =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:25.339389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.329024Z digest=sha256:9b58f2b483bafc35f57c047a748ca1f6f66cc522d964308d8b8d2e0b3f8e6dee

Observation 156b59e2-2784-42b2-a309-02c81c1a42c8 · outbound

This paper cites WorldModelBench: Judging Video Generation Models As World Models.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains WorldModelBench: Judging Video Generation Models As World Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.334567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.334567Z digest=sha256:46d5fa66db7ceeea17b802ffcca1a01bf5586cc091d35cc13671282e64d1cab2

Observation 239471a0-f019-4c4e-bf3c-aaedcba1138e · outbound

This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.343005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.343005Z digest=sha256:92f2b97acd7efb434a332c0e5c976d6699f2902d15895671c148654cd1923139

Observation c149ee93-1acc-4c99-b9e5-92cd9becff02 · outbound

This paper cites VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models , journal =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models , journal =

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.346992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.346992Z digest=sha256:b3818c5fa48401a978fc7e95cf0141c74e3483928af4f81004d52150ee605d80

Observation 0d2c25ea-7ea8-4cad-906f-db4c4d1280e2 · outbound

This paper cites CoRR , volume =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains CoRR , volume =

Reference 11

Resolution
verified exact
doi, observed 2026-08-11T05:13:24.209829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.350499Z digest=sha256:f8a9d2a52548499c06b6208268b37e0fd16d5591df58ebaf0a698a81cfb335ca

Observation 1a10379e-d719-4a24-bc93-1a1a72accc11 · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation , booktitle =

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:25.251129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.374536Z digest=sha256:06216dd5dfbe2310816ee5b2bbb12078595a5c83eca397af39a7223a309025de

Observation aac7615d-85c8-4afb-b937-f62b49d8968b · outbound

This paper cites an unresolved cited work.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.408411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.408411Z digest=sha256:f3aaa332dc320558e69b002119bcb976d82564b82c8688f4b36f46297316aa43

Observation 618a8b7c-477b-4e19-9e47-1387cd2b166f · outbound

This paper cites 2024 , month = feb, day =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2024 , month = feb, day =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:25.233225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.464403Z digest=sha256:be2eb0144f28850ab97bda0649c70fc3923f2244d714e1e1368a08fb868b9319

Observation 37d2fd9f-af1c-47a9-b49e-01b893af6a65 · outbound

This paper cites an unresolved cited work.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Unresolved cited work

Reference 15

Resolution
parse uncertain
no resolver link, observed 2026-08-11T05:13:22.520417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.520417Z digest=sha256:6a1fe66afdf9d2a6ae454436efb651b58eecb74fe54c8219f0db490f7955ab8b

Observation c91179c1-c0f8-4390-a19a-b050bee21504 · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains The Thirteenth International Conference on Learning Representations,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.602319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.602319Z digest=sha256:9e094df52062cdf2568a4769c7fa47e7661f7207f8cda6068fcfb2df69df89b7

Observation 3ce59617-6bec-4497-b315-a6b9355572db · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Wan: Open and Advanced Large-Scale Video Generative Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.643639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.643639Z digest=sha256:d71a3ee4570e15c2d4551a423c75ce6d5ce6f0f4d04ff066a69e07dc61df8208

Observation 0f72da33-3052-44fd-a5ef-aba37a758e95 · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains HunyuanVideo 1.5 Technical Report

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.690482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.690482Z digest=sha256:fbe8f5800f470ebd82a0946564f2ee4ed7961f931bd5ab38e590790a9677c509

Observation 55f224d9-bbb0-4574-ba80-bb559535b429 · outbound

This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains LTX-2: Efficient Joint Audio-Visual Foundation Model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.716875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.716875Z digest=sha256:4111c2b362d74027a3d0189d13f259cf8f6a2a6ed6f1bb638d4611552bad0f82

Observation 22adc833-0492-4a4b-b853-c873e5d65c86 · outbound

This paper cites 2025 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2025 , url =

Reference 20

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.974093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.721006Z digest=sha256:ba2809a41b909712a47a14fa44ca4c39354334f4e8be682db2eb53cef41d83cd

Observation 955fd2f6-ec99-4d8d-a07b-ba747329d948 · outbound

This paper cites 2025 , month = dec, day =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2025 , month = dec, day =

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:25.208459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.726012Z digest=sha256:cd2b515b8a31b97fff058ffce952923c87eba017c0edff2c6a51a846bf2e9bfd

Observation cb43a306-cb85-4096-b81d-05d44fe5da7b · outbound

This paper cites an unresolved cited work.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:13:25.195581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.744967Z digest=sha256:39a2eb44d2e9ee98f05c2d8ecec4b57d7a8b69f7f8cd7ef175f48bfe41c186be

Observation 793883cc-561f-4dda-9648-9e16f5718671 · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains The Thirteenth International Conference on Learning Representations,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:25.084667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.749658Z digest=sha256:803279e6e3d123620da317064e571aba1e149330b6d7fae9d0e12f93cb8b9f10

Observation 36d17aa0-01db-42e8-a8a6-857b15b56432 · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.753693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.753693Z digest=sha256:41182aeec927b7bba13d5248efe3cf7d2464da6792e00a09a2d7c3c83dc214f9

Observation ce2d5d91-1fd3-48c6-a8be-bdd31daa4ac5 · outbound

This paper cites HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.764311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.764311Z digest=sha256:40a988f92d8c1aec82bc64c35ad2f32bbf7a69a0c72bb504027b319b5ef8a435

Observation d54d0523-28da-425c-acad-8622422b105c · outbound

This paper cites Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals , booktitle =

Reference 26

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.810592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.810053Z digest=sha256:d388d75cfc92fd7623bf2d04e8a27a5df0b7f5208bf9aa6bdc6e862b753269c3

Observation 1c37ce4f-9e6a-4b02-9719-f068ab887170 · outbound

This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation , booktitle =

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.949416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.949416Z digest=sha256:70cc66bcb25bb35716d0d37a7fdcd84ca69d67e4310847f35f6608f0516981f5

Observation ae7f62ea-4e3f-4637-bd58-10c236186932 · outbound

This paper cites CoRR , volume =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains CoRR , volume =

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:22.995626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.995626Z digest=sha256:37f50f5760940af8fd640b2440bcea29ba33b73dc298cfa6d73d6a9b7ae2ccd7

Observation 7e0db290-62a3-4e20-8fa5-bc9ba5fdde26 · outbound

This paper cites Improving Video Generation with Human Feedback , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Improving Video Generation with Human Feedback , booktitle =

Reference 30

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.727881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.023904Z digest=sha256:e08471b015fd2920da7b132a199a0a88277bf4afc382262cf189b122bea9a1ca

Observation fa2d48c1-c4d4-4a7d-a9e7-3531c770f6a2 · outbound

This paper cites 2025 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2025 , url =

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.044813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.044813Z digest=sha256:abd1d5f41720f35b090270a1c3145d546a486b8a985d629dea1355b3e4de35eb

Observation 1cdf9238-9d4c-45a3-a97d-2cdfe769e976 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains World Simulation with Video Foundation Models for Physical AI

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.048651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.048651Z digest=sha256:fbf14016eb8214ed4c7ab7cf7e95d3e606cf5e15a5e28a5f767aafe49b7b7eb7

Observation 535e35e6-e929-42f5-a58d-aa11add43c2b · outbound

This paper cites 2025 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2025 , url =

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.052550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.052550Z digest=sha256:f64e0a5174758d89c3f40127c749743ca57187fac1891783af56c97995f362fe

Observation 04ac9ee6-e110-4ad4-9c58-c96f0df31106 · outbound

This paper cites VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:13:23.704761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.056181Z digest=sha256:b7446465e9a99831bab89d72501f21e5e8d6cd7ac86b6a1e4e33e9786777db89

Observation b1b8d40c-ff53-4c5a-b9a5-dc50a2eae602 · outbound

This paper cites VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on

Reference 35

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.689226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.060560Z digest=sha256:b1fc3e70cdfb1092a8b7d76e8e62e30cb9b2c059518dd730f5d4cb06a91ca385

Observation 3e7563ed-8e25-4a5b-8af2-05ce7fda8c2a · outbound

This paper cites Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.064317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.064317Z digest=sha256:17db6ec93b62c6ffbf097b3170c0ada89432ad6aa3f463a4e0a3e478738194db

Observation b871e7db-9e6b-4074-b848-94c36a7b510d · outbound

This paper cites SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models , journal =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models , journal =

Reference 37

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.635188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.068731Z digest=sha256:28306ef355f0097df883e9cea68e5441e5c81eb56f4d09bbecc13538d96ff43a

Observation 26bcd011-c2c9-4421-bfc2-9c79cffe362e · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Seedance 2.0: Advancing Video Generation for World Complexity

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.075404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.075404Z digest=sha256:382cbf3a5a38cf4b642445990f1580e02ad4ac7d81c10a7b9ae93182adb18a8d

Observation 024bb159-e406-4772-92b2-875e265c44bb · outbound

This paper cites 2026 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2026 , url =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:24.920662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.096347Z digest=sha256:3388113fa7452952c16f1ee96963af1caa8f3d95ed1a62b639b8ccd7fb22bcc6

Observation 03f1ce09-2de3-4410-a201-468ae0d061b6 · outbound

This paper cites 2026 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2026 , url =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:24.907621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.153399Z digest=sha256:7210993d110e791dbbf47b910b551dfa8627f6a3d1439c825bfbc118a89f34e3

Observation 170d50d6-e7b6-4058-8e9e-d3439f376f3d · outbound

This paper cites 2026 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2026 , url =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:24.894789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.228227Z digest=sha256:697f2248fce57c961318aaf8dfab08d9933a8362ff2d420c1eef06140dad58db

Observation 718deec0-f648-4dee-8b6f-f0324c2bac98 · outbound

This paper cites 2026 , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains 2026 , url =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:24.882291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.255889Z digest=sha256:dbc2c6a332af9d0aaae74ee32ca584b48eea83d34b8d101b784ed592a46cbecb

Observation b5626c58-e5fe-4f10-83e9-f94fcc6aa85f · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains The Thirteenth International Conference on Learning Representations,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:13:24.868576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.285442Z digest=sha256:b7a708801adc96d1d8846f80f0a92aea3e3b90d808b91003b220653c900bcfbe

Observation 289f1dc1-4616-437a-a4d7-1a565c45fa50 · outbound

This paper cites AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research , booktitle =

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.291190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.291190Z digest=sha256:d25027ce1dc4a200892851973d8f30c32945b7ad5289373806b12b88f9dcd4c8

Observation ee3fe919-4880-4f03-a5c7-15a3407d6f1f · outbound

This paper cites SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks , booktitle =

Reference 45

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.491909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.299718Z digest=sha256:9f33af4965c54ccb71908e7d7da3c926620bb18db2dc9a86fb7cc5ffaf9ca88a

Observation e9bd80c7-b24a-48d3-872b-e8d2b73218e2 · outbound

This paper cites SciSketch: An Open-source Framework for Automated Schematic Diagram Generation in Scientific Papers , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains SciSketch: An Open-source Framework for Automated Schematic Diagram Generation in Scientific Papers , booktitle =

Reference 46

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.479856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.305049Z digest=sha256:6c49ff7f6f5643032e717440bf7b149762535bbcd674b19d715c50c2872d3d10

Observation 67495db2-0056-403f-b8a0-a3f2b20e2b2e · outbound

This paper cites SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification , booktitle =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification , booktitle =

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.314626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.314626Z digest=sha256:e35aba6aca89b81afbd117624092c6f3dc5899ca4f6e0c675540a2cf29e01b99

Observation 8092220e-2bcf-498e-9f2d-aa12f894a896 · outbound

This paper cites Han and Manasi Patwardhan and Arman Cohan , editor =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Han and Manasi Patwardhan and Arman Cohan , editor =

Reference 48

Resolution
verified exact
doi, observed 2026-08-11T05:13:23.421075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.319416Z digest=sha256:6dbe7e36a8519874de3f3680e7cd0cc79c6855f0dcd4e1448587af21be132959

Observation 5ebfa4d7-dc1d-4475-95d0-e2aa003dfe28 · outbound

This paper cites Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.323552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.323552Z digest=sha256:5a14de36727c2260cba730b76b7e2a08514ff9c82381bb094858b8c5c2db4173

Observation 9fcecebd-a251-4cd0-90b1-b34f52d5c2f0 · outbound

This paper cites Attention is All you Need , url =.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains Attention is All you Need , url =

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:23.327672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:23.327672Z digest=sha256:5caa05ddf93fd70200e548fe16e4b01309f0e16ffb6d2e00d6f0857dc90caf4d

Pith citing papers

No inbound Pith citation observations are available.