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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.192411Z digest=sha256:a269d0591f61ca5008ac696f94e52a312a1a2b22731d95bc8c2ec90bcf5d82ce

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.244272Z digest=sha256:cadeb1b3f67f6ff487d7de22ca8a9937991995c2509c739f6b03c003bf756a7f

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=sha256:2e69344e752ed7f6b9e1b8e153a94ab15cfa7af692f131b709c35d6624da7058

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:bb9c05ae0c0630df4ab805b44c8c08a06a4cb3ae4a07a8881fb753a50cababb2

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:c47cf1a369ec4d4c5f419badbd7b668bb56eae8ec40f996a31de25870c86d1e3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.329024Z digest=sha256:998ad011eadb1bbb5a63f07f2579e5d8ec022d7df8de12dd72d4419f12910ba3

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=sha256:98e5e5df534e63f0fa8ef1ac7857d53eaf0e346abb5d5920fd2c346e5b4dcdb5

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=sha256:16e74dffbaa145b4aafa1180c24017370f6def13d85763745d4240795cbb75fe

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=sha256:9689c3c0c8a37783c4c6f8c1d1c11b5f0dd1759f4ddd71f2e0b800ea4943725d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.350499Z digest=sha256:77c89be4b717bd6fe286bb64968f3e52348ab8012d60a694d82c66379ea192c1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.374536Z digest=sha256:c7e7e811ed6af7db2eae99dcb82446080f64e09c377aac8968287c8897e271f4

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=sha256:791018d44edb51d84cb6d7328ceff16b0448e0903e2fd01523adbe4d5274f8fd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.464403Z digest=sha256:38dc2f0331bb4ac3c260a95589e9065817aa21cbe931a63c08ab0ed7c7b0af98

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=sha256:85ca12fa9f4802ff08115528d1ba5014c1dd58c0b5d94170e3fbdf4608b83540

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:aa843d80bba081032c5c054ed6775f0a23a964fb91725781e3298281b10410a1

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=sha256:75b3ba4470c6cc68b5fe4ed45902454c51cc683f3ff8e5c190b358cc017e28aa

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=sha256:7eb5d543dd6c4c5ab5b8bcaa8f656c8a9e1f5d45d0523e75c670042fa0e3167e

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:cfa2a264b3ae9aa98f8ac15517cea3fe99f79fba0108f361e122e559b7132389

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.721006Z digest=sha256:f23435062afed00b080a2cdaf741f0d1bd340ff0cd54b47b92695fbd119b5be5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.726012Z digest=sha256:3cc4d297c43f1510e6ba72a6fd099418103a9894550ea32657374b56bb149b27

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.744967Z digest=sha256:98dff8b0d93e82ed9a49a5b65860e256366d5cd68947294d1b9218fde33d1621

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.749658Z digest=sha256:b427f82af3dbe79a684f2155f7ad59b23b960799354f59715f2d0902bc12fba4

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:c1a960db0410932908d727fbb331d76ed19de37ad3d29ea48ec73572841a8c93

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:d4490561e088c72c62b01b0b543955c8bccc317150386c0bb98fa2a1bc683b7f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:22.810053Z digest=sha256:52a456216d6f3806a8f1608a216317b0d83ba60372645f7c765a349a2833ecdb

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=sha256:65ee68ea27cbbc62d7af2c160b48a0f7f571e64b6f199d949808a43a0d8274b8

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:b4b238c4c6332fd9d2e035ff5fc215c69051d2044869e64fd4ca8ff20b936130

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.023904Z digest=sha256:1beeafe895a0127b8b09574df85e5fac3d8757129b808882a03fae2f8fd739ef

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=sha256:158d5f3fdcffba511fc651c24e61103420860211b9c1fdd6d0842acaea1a1759

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=sha256:5ef82adb63e6f35653e7e8494a509ba74fec0a88627b0aeb8c3ec78c39dbf800

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=sha256:3a7de5e2b29618666d4fc32818e9b874249d6f058c9390dfb5b35a65ceb88665

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.056181Z digest=sha256:988a1b46d0d19e8e234bcb1d43089edd1dad72c9e69d509bcefd42b252cc3164

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.060560Z digest=sha256:5f1a012e1efdce52d40bfe3112bc5ae40758c6b03db8f0349247d0e898ce1a5b

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:b511594ceb657396f1ae745b0a8e2a74ba2329ab7c9c446ae81fdfa7070022cc

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.068731Z digest=sha256:67991ef4b768985674dfd662447c54c8417ad35cb985a0a685c362c7cf61cb36

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=sha256:4c513001a185f7dd7a60ad595164fd973db1ab4c38741f8a08c7a4ec80768494

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.096347Z digest=sha256:b11680f52b3a213e2e93ce4295fed8cd99c757944b2fe05bf004a1d02479f955

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.153399Z digest=sha256:ad6cb52090c58e25e23473d4a2f248d8047b0f08bb06c9da8884ee0f2c666413

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.228227Z digest=sha256:f66075f68a336ac12ad67dae300fb210ea25a8465ca2d6b3b6e6ad74eb91ed0b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.255889Z digest=sha256:4a8bdca31391c533ddd4fd0f41cab1bddd03fbf714b5df237db80e27ac4ee65e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.285442Z digest=sha256:e16c9f3b841267115266d6f4ca1bff96fc1d7e3654be3a376fd48dc9f5d2ca82

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:fb6afd5a1b290c430e285c395efaac6c0a28e34adada53600bfcc4ace5369a7b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.299718Z digest=sha256:1d0b9e90f6a8edda6eedab79efe66e97672f1eac21b3a3a95b11dd91eac00f2c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.305049Z digest=sha256:996a4eae7d211666aaace9dc38fb4f4e325e6d8f3790313d0e048d5422ce2428

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=sha256:2a999271769dedbfcfa89355c75f03640e2ab70cb15b83d62ce02df64ed57817

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:13:23.319416Z digest=sha256:3532bb683519bd9fb07d0909066f7ffdbdd12dd6a89bb0c57feb15a54a9d4895

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:fa7d28918dcb1ba733b546d23ec94ca8aa062acef1ff19238972a64a315b6adc

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:c52ef960b4f65144c60df2bb79ff451cc5333be3fe4a85e304d0b941e6c6685f

Pith citing papers

No inbound Pith citation observations are available.