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Paper Citation Record · LEDGER

Seedance 2.0: Advancing Video Generation for World Complexity

As of 4 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 100 inbound Pith citation observations for arXiv:2604.14148.

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

pith.paper-citation-record.v1
2604.14148 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:34:36.248186Z

measured 123 of 123 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 105 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:47:37.054638Z

measured 0 of 1 external citation measurements

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

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

Reference resolution

23 of 23 outbound references displayed

  • verified exact12
  • verified fuzzy10
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42b0e81b-8964-4c75-9a42-97fcb7777f45 · outbound

This paper cites Wan2.6.https://wan.video/introduction/wan2.6.

Seedance 2.0: Advancing Video Generation for World Complexity Wan2.6.https://wan.video/introduction/wan2.6

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.724773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:d155b0b712f83ef5490fb33cc9e0f654bfe4584b539be37ea1f6a4d8b7c08bda

Observation 745907b4-d293-4d07-87c1-6d8206834043 · outbound

This paper cites Arena ai leaderboard.https://arena.ai/leaderboard.

Seedance 2.0: Advancing Video Generation for World Complexity Arena ai leaderboard.https://arena.ai/leaderboard

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.693274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:f79f0f559c09b76c517f684c859b0615f0ced5e8b1cd55bf83fa764585348a41

Observation a36819bb-a4cc-4a95-bbc9-708bc461a62c · outbound

This paper cites Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Com- plexity.

Seedance 2.0: Advancing Video Generation for World Complexity Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Com- plexity

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.711038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:14ff385b7ca4bfa3766379fc0ad3cbcfcf5e83421355d4718cf085076e06c985

Observation a8a6e1a6-0ee3-4ccd-a344-b66785d7675a · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

Seedance 2.0: Advancing Video Generation for World Complexity Emerging Properties in Unified Multimodal Pretraining

Reference 4

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verified exact
arxiv_id, observed 2026-05-10T16:23:42.412235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:142d58d7d4069d9129906a9923d2f5d10933faadc123a83cd0262dfce805970b

Observation 8236c3f0-4b48-4a16-844f-5d583afa0965 · outbound

This paper cites Seedream 3.0 Technical Report.

Seedance 2.0: Advancing Video Generation for World Complexity Seedream 3.0 Technical Report

Reference 5

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verified exact
arxiv_id, observed 2026-05-13T07:55:38.865721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:6c04422a70f05ddf72e0b7461b5b387de8f3199bd9e65db39d741e59c0197967

Observation 8632b087-13c6-498e-bf7c-85d18347efe4 · outbound

This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.

Seedance 2.0: Advancing Video Generation for World Complexity Seedance 1.0: Exploring the Boundaries of Video Generation Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:09:57.662354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:3e8ed1f05e4d266e2e061af306c8d11c3849382392906e7ba5653b43c566e907

Observation 27bda902-0bea-44cc-913c-6a4d72a2ee6d · outbound

This paper cites Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model.

Seedance 2.0: Advancing Video Generation for World Complexity Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-17T08:27:36.473449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:f9598675d6c235e0b1a5fa04a56de644461610425b3e6cf6c802b5997ff10459

Observation 53fd1611-ea26-47a1-ab35-cf1c346cf430 · outbound

This paper cites Veo 3.1.https://deepmind.google/models/veo.

Seedance 2.0: Advancing Video Generation for World Complexity Veo 3.1.https://deepmind.google/models/veo

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.714014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:2007be4a33075b95462f072fdd276215db7a537d6fa124e7dc5928d2baf3f890

Observation 30c6fd44-077b-4ec3-a935-a855b3328712 · outbound

This paper cites Seed1.5-VL Technical Report.

Seedance 2.0: Advancing Video Generation for World Complexity Seed1.5-VL Technical Report

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:26:06.820639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:d4a69b62ad76eb4ef1e09753cbdde147569005eeabc07957bee0ae4fe008748f

Observation 84f0a77a-8258-4885-9b92-c96828f12424 · outbound

This paper cites Kling video 2.6.https://kling.ai.

Seedance 2.0: Advancing Video Generation for World Complexity Kling video 2.6.https://kling.ai

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.717413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:670b9ff61543d0062b9329a2e62ed4f6c58c44b681172fa24ebed9303d5d6653

Observation d70b2889-ed64-4040-b637-87aaf2db89e3 · outbound

This paper cites Kling o1.https://kling.ai.

Seedance 2.0: Advancing Video Generation for World Complexity Kling o1.https://kling.ai

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.721323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:9df22d897f1a8fec008ee4d6239a1bd4ca68c09f50edd39b6ccdef4595bf85be

Observation 632942dd-7113-4e40-b3c5-5caacee682be · outbound

This paper cites Kling 3.0.https://kling.ai.

Seedance 2.0: Advancing Video Generation for World Complexity Kling 3.0.https://kling.ai

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.700643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:91a8314727de326dbb9c13bc646e958d1cb0e77834acf0b83fd39fcb6925fb64

Observation 01b06189-f47a-4dd3-a94c-5d7744fd7bb5 · outbound

This paper cites Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation.

Seedance 2.0: Advancing Video Generation for World Complexity Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-17T07:24:05.047503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:e332300f6c0905a5f1c40b788f70f51b48523034c5619bb891b2e371da47e735

Observation 558b59b5-8fa6-4e8a-8bd2-3a4da28cf01c · outbound

This paper cites Sora 2.https://openai.com/index/sora-2/.

Seedance 2.0: Advancing Video Generation for World Complexity Sora 2.https://openai.com/index/sora-2/

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.704125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:ce345a18c9d245d1fe40f12a6f2a4fb492168f5f2f8d42a54877fe8b7230b7b0

Observation eb15abcf-3982-4142-9ad8-1a9a09813049 · outbound

This paper cites Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model.

Seedance 2.0: Advancing Video Generation for World Complexity Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:35:26.281325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:64019d6c74494eaf6791b5a647e16aea5ce4b9d524ae64e84e50093fb4f06065

Observation d44bfb3c-8401-40f5-bb6f-2176210b7468 · outbound

This paper cites Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model.

Seedance 2.0: Advancing Video Generation for World Complexity Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T01:35:37.953991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:ec8e89b8b3e54c0f563dc8b223f44fd0ddebdbcec2e71aee2212b9d3412df726

Observation e892d7d1-5023-42a5-92bf-0b2cf47976b9 · outbound

This paper cites Seedream 4.0: Toward Next-generation Multimodal Image Generation.

Seedance 2.0: Advancing Video Generation for World Complexity Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T16:39:00.957431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:730af7be175691ab8903e4b360e41a0c9c713fb1ef900857a0a2d32bb556f658

Observation d4032385-d1dc-4ab8-93c0-5f02f1065ee3 · outbound

This paper cites Vidu q2 pro.https://www.vidu.com.

Seedance 2.0: Advancing Video Generation for World Complexity Vidu q2 pro.https://www.vidu.com

Reference 18

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verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.707744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:f745acf0cd1fefe3683baedc60c3bdfb29b83c61316c3ec2c2664f748cec2961

Observation 9f4d36a8-87c3-4960-a8e2-0e25fb12aec5 · outbound

This paper cites SeedEdit: Align Image Re-Generation to Image Editing.

Seedance 2.0: Advancing Video Generation for World Complexity SeedEdit: Align Image Re-Generation to Image Editing

Reference 19

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verified exact
arxiv_id, observed 2026-05-10T13:35:26.304616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:69fc5e7f74ea95ca4f4757ac7c9d1c7f9183c0cc819f3c719527666446bf4c88

Observation 1d025f5c-3e28-44ce-ad82-e0a6588c4e43 · outbound

This paper cites SeedEdit 3.0: Fast and High-Quality Generative Image Editing.

Seedance 2.0: Advancing Video Generation for World Complexity SeedEdit 3.0: Fast and High-Quality Generative Image Editing

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.278745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:cb293637b8b1c0893671c1a262ee1fe4454dcb3103287fc70208d0fb79b20c9e

Observation ee3ef21c-0e70-4519-894f-780fdc8f522d · outbound

This paper cites RewardDance: Reward Scaling in Visual Generation.

Seedance 2.0: Advancing Video Generation for World Complexity RewardDance: Reward Scaling in Visual Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.276205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:ac85052a58959ac2dd1d9fd7cadee4d14c028faedf003724da22fc4df0c263b4

Observation fa6f65c7-43f4-4d3b-a1a8-e925044068a1 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

Seedance 2.0: Advancing Video Generation for World Complexity DanceGRPO: Unleashing GRPO on Visual Generation

Reference 22

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verified exact
arxiv_id, observed 2026-05-11T22:28:29.121023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:8c08d1a7bfdae9f98d39a353fe48a2d8a9d53b458e2ef93e9b6313baad0141e8

Observation 1a4f51e1-b8ca-449d-9d8f-6b5105957244 · outbound

This paper cites Make pixels dance: High-dynamic video generation.

Seedance 2.0: Advancing Video Generation for World Complexity Make pixels dance: High-dynamic video generation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T23:32:53.697389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:ce768be285fed19c43999fca45574eed88cf33e2775d41624c23e68a024c3cd9

Pith citing papers

Observation 3dbee24c-c126-4151-9066-a648d0a79e04 · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing Seedance 2.0: Advancing Video Generation for World Complexity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:06:27.613376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T08:00:33.307429Z digest=sha256:71fcc92cf1d5ef8a9d220d581bce28fd00448d858de2cf7960672696177031ba

Observation 43092386-720a-411e-aa3c-a2137ed7a3bc · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing Seedance 2.0: Advancing Video Generation for World Complexity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-21T09:14:05.912684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T09:11:02.183133Z digest=sha256:ddf1193fbd1e072f31eb6a2c238045df191858e04e28d7c3c0348ba0b4604027

Observation b3be6dc9-8caf-4899-903a-5d93bb316b1c · inbound

ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control cites this paper.

ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control Seedance 2.0: Advancing Video Generation for World Complexity

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:21:30.522852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T06:24:47.014162Z digest=sha256:4516bc6760651ba1d9ac68f59694a05751260cfa9efa1b318a2e5688b3e8e0a4

Observation b8e3bb99-dc39-4ec7-9f02-431b78b99d43 · inbound

Video Generation with Predictive Latents cites this paper.

Video Generation with Predictive Latents Seedance 2.0: Advancing Video Generation for World Complexity

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-11T16:26:09.265703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T16:55:54.709581Z digest=sha256:f641158e7f3474dcc120b40454edb9bc381b9a5df81489482226cb533fa498ce

Observation 98de8d42-24c3-47fd-81a5-10ef19a313ec · inbound

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics cites this paper.

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics Seedance 2.0: Advancing Video Generation for World Complexity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:56:32.162208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T01:23:27.990472Z digest=sha256:3790b3c50fbb81dc1e49d3b017bc311429a0d11399607e4053f9d788016741d3

Observation 7f802ddd-c9ea-4497-8e19-be35c3dd827a · inbound

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics cites this paper.

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics Seedance 2.0: Advancing Video Generation for World Complexity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-09T06:05:34.476408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T19:04:02.414172Z digest=sha256:301e3e73b3bf2093085e5e82ca96e5107b84477de54bb66b1e648a24179b0152

Observation c6279cf1-f526-4e17-8ecb-3269dba793ff · inbound

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics cites this paper.

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics Seedance 2.0: Advancing Video Generation for World Complexity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-12T07:11:24.291891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T03:39:47.335022Z digest=sha256:e245a0c5937ce82044aa7b69f5968fd8cba7eba42ac85fe66c043601cbcd702f

Observation 7cd7f66a-0405-4f01-b09c-06053e8d3e75 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 82

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T17:36:05.832154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T17:25:26.391582Z digest=sha256:0b8df05e7377e17188b81f4c1b41fc19f37e6d602cd03922867669f7f0fa1ce1

Observation ef4f1cfb-3e03-4fe1-bdf2-8447c06d1f8b · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 83

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T23:19:13.417450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T23:18:35.390642Z digest=sha256:47a825ad51e0c25002db91f7723bef055d88a12c86f4487e1509fe0375ec41fd

Observation 0f3e96aa-b47f-4db5-b830-4792894da5e7 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 83

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T23:45:07.647262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:44:10.302520Z digest=sha256:1909798768ea469472788e292fee8bac588be6e70748f900894a98e4d1215db9

Observation 2ee7bed3-1832-4aa1-9e11-b46864b7acb2 · inbound

Do Joint Audio-Video Generation Models Understand Physics? cites this paper.

Do Joint Audio-Video Generation Models Understand Physics? Seedance 2.0: Advancing Video Generation for World Complexity

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:56.911698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:12:04.230076Z digest=sha256:e09e5408de0095087c79673751f786837e4417e6bd452095f6a4a7efe490c97f

Observation d376540a-2246-45e3-be74-25853a0dd631 · inbound

Do Joint Audio-Video Generation Models Understand Physics? cites this paper.

Do Joint Audio-Video Generation Models Understand Physics? Seedance 2.0: Advancing Video Generation for World Complexity

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:45:08.275677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:39:22.070629Z digest=sha256:a125408beba7550511da42141449d08a4cc128788211da6f8b7be4469fef78d0

Observation 52499637-8250-4a8f-859d-04dea73c3729 · inbound

SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models cites this paper.

SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:40:54.628424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:21:52.861714Z digest=sha256:914fa0626103fb83882213fb0c60a1a8cd12c4817d56d6dd9af591c885ab8adc

Observation d1d38215-1cd5-44f9-aace-0595704b0b27 · inbound

SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models cites this paper.

SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:15:07.966888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:13:31.195562Z digest=sha256:d9cebdf1c4f844fa99d4ae50d7c2b8a68f65e809ddd2004b9ab056a8b33eb7bb

Observation 31f9ed9b-f396-49a2-b03a-8d7ff3eac0a9 · inbound

Relative Score Policy Optimization for Diffusion Language Models cites this paper.

Relative Score Policy Optimization for Diffusion Language Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:56:29.772570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T03:47:42.196931Z digest=sha256:40f79316aa13a39038a3fdbbbf3b6b1cff80fcc5296d8e692e9dc63e7a5ef723

Observation 20b197fc-1265-4047-bb84-e63fbf54542c · inbound

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives cites this paper.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Seedance 2.0: Advancing Video Generation for World Complexity

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.318565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:e7cf8186c506ef8641ed6e44e72ae41af6e11ba1edbee6f15d0aadcad4146af3

Observation 3625439a-ac75-4401-886e-d19c77808a98 · inbound

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation cites this paper.

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:53:28.811165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T01:52:14.874049Z digest=sha256:927ebb6ce54f79096676aaece96ba23de9593443f5e7eb13093b68427fc6a615

Observation bdbc4cf5-13bb-4878-a123-18099ccac1ee · inbound

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation cites this paper.

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-20T21:59:06.566196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T21:54:33.902256Z digest=sha256:e1f51c6d737fd45103ffd0dcf54f1b28445e0396e98ac7b747891cd58c6bce39

Observation e2bc1071-3a48-46bb-bd2b-6b53daca81f3 · inbound

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation cites this paper.

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-21T09:14:05.679179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T09:12:35.777810Z digest=sha256:5c53d00078835c15e1f6e637c90374d70a3f0aad2f1bf70492f5adf60a6d7ed9

Observation d761f4bd-bb75-4194-9d12-457687b039ea · inbound

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation cites this paper.

Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:45:05.483821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T21:44:21.427570Z digest=sha256:551c99420a6f6ef4d7f8de002ce1b54d44b8759b36dcc080e6a19996424b6b5c

Observation d59ecb4b-bdde-46e3-ad21-5f1df4ae2479 · inbound

RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO cites this paper.

RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO Seedance 2.0: Advancing Video Generation for World Complexity

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:35:47.207931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T20:38:28.328436Z digest=sha256:a12d1427e6cbb794139b480b5012bf243d0c2f110463e74096c6414bd8471313

Observation 8a6ed3ce-d576-45b8-9b55-edc16e01b93e · inbound

Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation cites this paper.

Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-20T14:13:21.350991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:08:30.802619Z digest=sha256:e8954ddeed96f2056d89cc69a0cfb9671649885deb4802876a460c50ee3f3b1e

Observation c123315a-839b-4182-ab12-49d5706fa1cb · inbound

Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion cites this paper.

Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion Seedance 2.0: Advancing Video Generation for World Complexity

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:23:14.088109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T11:19:21.721494Z digest=sha256:1c00b40f499eea453f79a7975d490b79a68be568ab92fcf247670ab0c752a56b

Observation af3a250d-f9b1-42ba-a1ec-b32737c3edd2 · inbound

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models cites this paper.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-20T10:58:13.621060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T10:57:38.853154Z digest=sha256:9ef13d9b2eda09f27ea44b9e0895616d37403fc83f30129b853e5fd699d2cc2e

Observation a3b836b9-16c7-4f36-a463-721592ee5dab · inbound

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models cites this paper.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-14T18:52:51.601629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:b778eddb62ec194fad202aeb01f38c501ee9e9f628de9e0958b2144b75998d2c

Observation b93c77db-f01b-4cc7-a4e0-c047fa53f754 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Seedance 2.0: Advancing Video Generation for World Complexity

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:48:15.033739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T11:46:52.658984Z digest=sha256:989d78e09a67b5e906409753065e935600a69a83a8d98a5cec476d12ca3d49db

Observation 62f27ca6-ab3f-4be2-b2d4-9c0efd6cab93 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Seedance 2.0: Advancing Video Generation for World Complexity

Reference 99

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:59:50.536388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T07:56:34.034047Z digest=sha256:2f7fa547e7b4bddb31543294d0203a20496374891e89c4dbdf04635648059332

Observation c29445d5-5fef-453d-881d-3e1900efcd94 · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-20T05:18:03.082649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T05:17:11.690484Z digest=sha256:6226a8eb51296cb22d62cc026b80e90b738ae3fea9f15bcac35fa92c844db4e3

Observation 3cd957c4-9bb1-4c81-b13b-ce033e8ec2b7 · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-06-30T18:04:58.092032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T18:00:39.556424Z digest=sha256:caa17e9823bde41190d050fdc669e559053351d4afd255ec4e38d4ee5735484f

Observation 3ad24f7a-0287-457d-ad71-04651f2dc389 · inbound

Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation cites this paper.

Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:19:46.846868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T07:17:58.742306Z digest=sha256:0e3dc28aeda73ebed9a3d337ea7e7ce12ed05c196f92aa1b4992f7852bb5e3c9

Observation 037ba582-8d8c-465b-9a31-492f170dfe0f · inbound

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation cites this paper.

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:53:59.174557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T05:51:36.599060Z digest=sha256:2a8dc9ecc79dba091d8712ab822691a689b978bfb76e241ee33dd39a2886bdf6

Observation 91621ba5-010b-4e39-a501-324018af7ec5 · inbound

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation cites this paper.

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:14:57.163550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:08:05.028194Z digest=sha256:a2eacdebb92d627134774e0881553c9a2240992bd785ebda4ecfc80b6f561d26

Observation c97cd65c-4e4a-4ab2-8354-7762882e2807 · inbound

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation cites this paper.

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T02:17:50.758950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:17:50.758950Z digest=sha256:878e338f505a3714fcb334fadc06d7270764610aa38c1918233616a16c9b0d5a

Observation d8efd325-ff19-4d45-b85a-5c7593eca572 · inbound

One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems cites this paper.

One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems Seedance 2.0: Advancing Video Generation for World Complexity

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-22T06:54:42.274628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T06:51:58.805848Z digest=sha256:3d0accb274b05aa915ca24160f72b40c474ff01340fc64d16da0ba04c6eb3749

Observation 9c4e14bd-e2ab-47b0-adcc-b24895201046 · inbound

VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis cites this paper.

VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis Seedance 2.0: Advancing Video Generation for World Complexity

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-22T07:14:42.757412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T07:12:02.612292Z digest=sha256:45fb2b1a9175604a0a2c928f6b6004c5194009e7b67c685767938cae110b9b72

Observation ead94372-356d-4aee-a158-ce75fb1f7944 · inbound

One-Forcing: Towards Stable One-Step Autoregressive Video Generation cites this paper.

One-Forcing: Towards Stable One-Step Autoregressive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:40:23.663402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T04:38:41.949350Z digest=sha256:75d5b522cb93b8b7b4d0c60106999e02711bef17cdcb753f38a76cf06781180f

Observation 6f6138e4-3119-41cc-a2b5-7a9e50004bc6 · inbound

Toward Native Multimodal Modeling: A Roadmap cites this paper.

Toward Native Multimodal Modeling: A Roadmap Seedance 2.0: Advancing Video Generation for World Complexity

Reference 293

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:04:01.995953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:58:38.610609Z digest=sha256:4c8470fc9073f1b339bd035e5cf6b9a19f9489bbe758cba7073c091cabdd4a1f

Observation ac4b6789-6d1f-4675-a5f0-e7847c41b3a4 · inbound

ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement cites this paper.

ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement Seedance 2.0: Advancing Video Generation for World Complexity

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:04:00.870356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T23:03:05.701686Z digest=sha256:0a233f0b8df12b563381fba34a556a4db64cd6aaabce868f5c3d9d0a22a61685

Observation 4b101729-3d6c-4eff-a670-f30cdd4fd390 · inbound

StreamChar: Long-Horizon Streaming Character Audio-Video Generation with Decoupled Orchestration cites this paper.

StreamChar: Long-Horizon Streaming Character Audio-Video Generation with Decoupled Orchestration Seedance 2.0: Advancing Video Generation for World Complexity

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:24:00.885554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:15:17.804936Z digest=sha256:47c3890ae451365b5e0de0ff36aff807a88cd07aaee82e4825fa1d2b58da4f2e

Observation afa92566-a5ec-47f3-8923-57a478f3a098 · inbound

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation cites this paper.

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:34:04.886843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:57:08.381846Z digest=sha256:38526890f066a097325b07d1ffc18c3608bac2ee3bff24601f4040a0574d38d0

Observation 25a01bcf-ea86-445f-9c2c-21f1873af7eb · inbound

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation cites this paper.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:34:02.361333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:7605046a3bcf757a1370eb88aad3ea73fb38586c18873f771c334a64f71cd28b

Observation 8ff5089e-05d1-4b8f-bb2b-86c8bbd2f952 · inbound

LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV cites this paper.

LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV Seedance 2.0: Advancing Video Generation for World Complexity

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:54:00.775546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:52:38.330851Z digest=sha256:5df8dce5a832359083772fcd61516e32838ae9058c23a821aa368b7c5b804bde

Observation 1e34c705-1103-45cc-9cbc-bf50363e3408 · inbound

What-If World: A Causal Benchmark for General World Models in Embodied Scenarios cites this paper.

What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Seedance 2.0: Advancing Video Generation for World Complexity

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:23:50.392770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T18:23:22.987086Z digest=sha256:c5de7762aace6d929ca67664cfc8756754da271a2acdf2ba8024ee51e8d42f19

Observation fc5e9423-b5b4-48e0-bc67-bf7df13520b8 · inbound

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? cites this paper.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Seedance 2.0: Advancing Video Generation for World Complexity

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-29T16:43:40.128384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T16:39:02.568750Z digest=sha256:5c30616a334674975f3fb928cc08b34f7d961418ae49c8b142600eae138af64e

Observation 01548db1-ad4b-4ae6-a556-5d1002df37fd · inbound

Native Audio-Visual Alignment for Generation cites this paper.

Native Audio-Visual Alignment for Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:03:14.776951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T07:53:59.795431Z digest=sha256:4a15efc6c8a629b3136e50504ea2f7662a832318032de31e1ce1fb3447648e18

Observation e4dd837f-eff8-4173-bcdc-bc34d59e1507 · inbound

OptiWorld: Optimal Control for Video World Generation under Physical Constraints cites this paper.

OptiWorld: Optimal Control for Video World Generation under Physical Constraints Seedance 2.0: Advancing Video Generation for World Complexity

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-06-28T19:32:35.647108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T19:02:51.848742Z digest=sha256:2b5da564c96141d8fcb93de0de033d664662a6e800db883408a2d80582ef2040

Observation 653c1899-0801-4061-ae71-f2176892590f · inbound

Knowledge-Intensive Video Generation cites this paper.

Knowledge-Intensive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T21:06:13.334992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T17:33:07.941924Z digest=sha256:8736a62fe1cb66f84c97e8b97a193fa3400756a6239d1ecc667e566d9ee7ff92

Observation a4c91840-d4d0-44f8-916d-0b996939e57e · inbound

VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization cites this paper.

VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization Seedance 2.0: Advancing Video Generation for World Complexity

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:26:17.304127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:26:21.284810Z digest=sha256:54e33b65433ca7446dcd30aeb71d43285b24c71f13b57de3357421a1916b5a8b

Observation df3ae0ed-6b8b-46a7-8275-2f5ebfeadd13 · inbound

VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization cites this paper.

VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization Seedance 2.0: Advancing Video Generation for World Complexity

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-06-30T10:44:36.779852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T10:38:22.619277Z digest=sha256:e4e6434b098fd68a15800c979e916fd0cf92dc6834ce79ad13cc41a325a02035

Observation 53e65885-d6b2-4867-b641-ed29b2b85818 · inbound

Foley-Omni: A Unified Multimodal Generation Model from Task-Level Audio Synthesis to Complete Video Soundtrack Generation cites this paper.

Foley-Omni: A Unified Multimodal Generation Model from Task-Level Audio Synthesis to Complete Video Soundtrack Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T04:56:39.433131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T08:38:44.906160Z digest=sha256:4c3f20f55988ea1b27c00552f8583c2ef611a3569fcf6f93377e9dd70137f774

Observation 606c88d9-59da-4f34-a38f-826bb71cb44d · inbound

When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection cites this paper.

When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection Seedance 2.0: Advancing Video Generation for World Complexity

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:36:26.721981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T10:50:44.514251Z digest=sha256:115247b18299546376b49ff24a6f8719dd80a851bad930eb255952a931036f50

Observation fd472599-e1a1-45a5-9aa5-a71ac5afb99f · inbound

Self-Evolving Deep Research via Joint Generation and Evaluation cites this paper.

Self-Evolving Deep Research via Joint Generation and Evaluation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:56:47.585888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T06:31:27.811744Z digest=sha256:ec3253150f096365f19bb7f2f7372c316e9d9b276f45f0c865b6be961fa2c333

Observation 1e791dc6-69f2-4d89-9acc-93f206226bd8 · inbound

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? cites this paper.

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? Seedance 2.0: Advancing Video Generation for World Complexity

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T07:56:47.485627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T06:33:03.192410Z digest=sha256:4e694b531f5aa9f2284996ed9b470ece046e9b1c23251d835283ed27aadd3564

Observation 6282cecf-5f73-4be1-9bcd-c11e934a94b5 · inbound

VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation cites this paper.

VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T20:57:23.145144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T20:04:10.711238Z digest=sha256:1df875b23e42ee11bd765a2fc4d7aa1d882c800ff05b542494916b910c6ea240

Observation 141ae8a5-01e4-4a05-aedd-d9fe381e51c5 · inbound

Prisma-World: Camera-Controllable Multi-Agent Video World Model cites this paper.

Prisma-World: Camera-Controllable Multi-Agent Video World Model Seedance 2.0: Advancing Video Generation for World Complexity

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-03T00:47:30.151386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:03:29.676482Z digest=sha256:d8480e236d947b6d85ab3b56ca00cf0475723c4f95e494f100bde93293290135

Observation 87454fbf-16bf-4cc6-ba80-054cea2cb4c2 · inbound

CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation cites this paper.

CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:07:28.082370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:30:25.371658Z digest=sha256:ccf81e21becd43abc02d8bfb71fe9d4ab6f96fe7b1e979fedb037cf0f183c560

Observation 143e5936-97ae-4aa3-9894-739be33e5c22 · inbound

AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing cites this paper.

AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing Seedance 2.0: Advancing Video Generation for World Complexity

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-03T01:47:31.495073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T16:19:12.477618Z digest=sha256:6d453eab5ab9c5b573ae0ab37fc0234534f7791cadbb8e1c656f1d1c776ba1dc

Observation 1d580005-2d52-4f4d-a8be-65c35f631e3b · inbound

SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation cites this paper.

SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.791557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T10:00:35.608696Z digest=sha256:fe2bf018e0ad9742d34d1cfc9fd669cc05ea8079b61a9249ffce54d8002c0314

Observation d784884d-bb9f-488c-af76-b428aece4adb · inbound

GenHOI: Contact-Aware Humanoid-Object Interaction by Imitating Generated Videos without Task-Specific Training cites this paper.

GenHOI: Contact-Aware Humanoid-Object Interaction by Imitating Generated Videos without Task-Specific Training Seedance 2.0: Advancing Video Generation for World Complexity

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:18:34.044420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T06:31:12.268523Z digest=sha256:b4e6ba3fbb31b9c5f8aa70c2c2f930a6144f9c51fc8bff030441a03c78312c14

Observation 2e26bcbb-f484-4efc-a138-5e26c441b61a · inbound

GenHOI: Contact-Aware Humanoid-Object Interaction by Imitating Generated Videos without Task-Specific Training cites this paper.

GenHOI: Contact-Aware Humanoid-Object Interaction by Imitating Generated Videos without Task-Specific Training Seedance 2.0: Advancing Video Generation for World Complexity

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T11:44:11.555268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:44:11.555268Z digest=sha256:913b5e97f9c5447749ffc92db0af0986d1e7749a978d9b52a69082b8759b36d3

Observation b66fcd04-4b46-4869-bf8c-d78eb4987a71 · inbound

OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data cites this paper.

OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data Seedance 2.0: Advancing Video Generation for World Complexity

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-07-03T14:08:22.282837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T07:11:06.592722Z digest=sha256:04987daa86bd179e8cc6f49b726bf129e736fb5e9f8b33eb0697eb22d613619e

Observation f7adf1aa-3cca-4881-91bc-34eaf9ca2751 · inbound

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI cites this paper.

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI Seedance 2.0: Advancing Video Generation for World Complexity

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:28:44.837065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T04:02:53.110012Z digest=sha256:b532a9ff90f2c4a1585631cf6f9724aba00f5460a86afd0c002d68be1de1614f

Observation 88e663f1-775b-4098-a93a-e0488dfbaeca · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams Seedance 2.0: Advancing Video Generation for World Complexity

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:29:37.927986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T14:24:19.702588Z digest=sha256:e6ee754b1187fb1608f37f8c7be98af4c54a10b26a05ccf8279aedf4ef7bf188

Observation dfae8d7c-746d-4099-91f3-493cdb7593e4 · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams Seedance 2.0: Advancing Video Generation for World Complexity

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T02:47:37.054638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:47:37.054638Z digest=sha256:d9556832e93c05c0edea49c21fae143578dee28e3d9182d3c480e8ecf29131d9

Observation 813693bc-7591-49b8-9cbc-58002397ee84 · inbound

CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation cites this paper.

CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-04T07:49:38.713009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T12:52:05.465272Z digest=sha256:f8117dc6d1fc73606e6bd591a0a3dc05d65c7b589e3b6231a868d1d0bd0e3df4

Observation c5fa8f1f-5d05-4aa1-8956-3fbde8d9f65b · inbound

Audio Editing in the Era of Foundation Models: A Survey cites this paper.

Audio Editing in the Era of Foundation Models: A Survey Seedance 2.0: Advancing Video Generation for World Complexity

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T12:09:49.466189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T07:10:49.047784Z digest=sha256:d026d352a8cff699f5550f0e5b2dbc8a9757b67d316ebb3714abb638fe6e55a5

Observation 1a4526fa-525f-4115-94b2-ca259bb71f8b · inbound

SteerVTE: Seamless Video Text Editing with Style and Glyph Control cites this paper.

SteerVTE: Seamless Video Text Editing with Style and Glyph Control Seedance 2.0: Advancing Video Generation for World Complexity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:29:44.587961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T08:52:23.330736Z digest=sha256:1b6e900e9c77bc2d1dc16a9ee338731245b220da0cd32e0eceafe72d89b20216

Observation 93f75f5e-c889-405a-ba75-d297b805c1ce · inbound

TailorMind: Towards Preference-Aligned Multimodal Content Generation cites this paper.

TailorMind: Towards Preference-Aligned Multimodal Content Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:59:46.788787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T08:14:07.112511Z digest=sha256:7122fa5e00a95342d269bcd8f0a86c4cc8031d653ae179e97fa810c71fde543f

Observation 6d0cc4d8-65be-4769-b264-7a975d314064 · inbound

Navigating User Behavior toward Personalized Multimodal Generation cites this paper.

Navigating User Behavior toward Personalized Multimodal Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:39:57.271653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T00:26:36.300071Z digest=sha256:c1370fa3264ee6baf5db8eb5a8b730bd469c0c98ec935fc3dcce29202cf65f59

Observation b6917936-4faf-490a-94ee-0e5fdd6b2c29 · inbound

World Value Models for Robotic Manipulation cites this paper.

World Value Models for Robotic Manipulation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-07-04T17:40:00.317277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-25T23:33:50.854261Z digest=sha256:346a31dd0495c5427dbf3a4200e15098f59c2f3a1003a39b4b910be583bd3a1f

Observation c4064b6e-5807-4bd7-884b-9cfe8736205b · inbound

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models cites this paper.

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:49:57.685923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T00:13:38.523397Z digest=sha256:b8ff9e8b2bb605d01449b2ad3f2cb862af7657dcd86b4f5237fe57f2eeec0970

Observation 1f493980-bd64-4972-baa3-29e35ad5886e · inbound

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models cites this paper.

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:09:50.941214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T05:27:24.078053Z digest=sha256:89379f097f1db3270545392fa06c68bee54e79ab4d445dae02f40b2d2280ba30

Observation 396c2756-1eca-4bb8-bbe3-c99bf08ae875 · inbound

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models cites this paper.

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-06-30T09:44:37.393782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T09:43:09.347118Z digest=sha256:82c2b85ee57e086c51564cf41182d079e2ef8b91a0d3c1ea73a2bae9b1fa477a

Observation 02734c3d-0f52-43b6-a0bd-f795428c810a · inbound

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models cites this paper.

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:50:11.437409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-25T20:57:30.765802Z digest=sha256:a2fb8b2d58fd99f56a51cae16f9ecf672ef9cbba95bc99d66ab7c392782f3fcb

Observation 0dd5a808-f39a-4c72-8d93-1472a50a7df3 · inbound

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays cites this paper.

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays Seedance 2.0: Advancing Video Generation for World Complexity

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:19:53.570486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T04:20:26.522615Z digest=sha256:e7ff318da378dddb030d3265139c1f65b3044e75663012b3ca0edf8b53b84367

Observation c9b926ec-40e2-428c-848f-5b3c175a1743 · inbound

NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning cites this paper.

NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning Seedance 2.0: Advancing Video Generation for World Complexity

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T16:55:51.129059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-29T04:26:43.018373Z digest=sha256:dfe401a1bb7abcd2d9454d63433f4588fe6fab11fe1fade7ea8347060d9502b7

Observation c6d8d98a-c647-49e4-a27b-caa0b8e41f6b · inbound

Unleashing Infinite Motion: Scaling Expressive Quadrupedal Motion via Generative Video Priors cites this paper.

Unleashing Infinite Motion: Scaling Expressive Quadrupedal Motion via Generative Video Priors Seedance 2.0: Advancing Video Generation for World Complexity

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-01T17:05:51.252588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T04:10:56.435946Z digest=sha256:5de1217518bd863ea1ee928a61b75f169c98854c94ce078243de55857898dc2e

Observation 7fa65bb3-9b59-45d3-8eda-270e5bf72d10 · inbound

World Narrative Model for Highly Controllable Video Generation: A Paradigm Shift from Pixel Sampling to Physical World Orchestration cites this paper.

World Narrative Model for Highly Controllable Video Generation: A Paradigm Shift from Pixel Sampling to Physical World Orchestration Seedance 2.0: Advancing Video Generation for World Complexity

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-01T10:25:41.691112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T05:31:43.678762Z digest=sha256:ec959ab921c852c0bc80e8174ba3cd187d4d3fc748f4a36b3dfce5edd29e6b61

Observation a0675c2c-f09f-406b-85b2-32e2ef4aba09 · inbound

World Narrative Model for Highly Controllable Video Generation: A Paradigm Shift from Pixel Sampling to Physical World Orchestration cites this paper.

World Narrative Model for Highly Controllable Video Generation: A Paradigm Shift from Pixel Sampling to Physical World Orchestration Seedance 2.0: Advancing Video Generation for World Complexity

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-15T10:20:59.147440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T10:20:59.147440Z digest=sha256:53ce9ad49f5ecdfacaa482839e589dad58e12bd8f86bd44f3b1199c3c96d890e

Observation 3b537df6-55e6-454b-91ab-83fceded49c8 · inbound

Vidu S1: A Real-Time Interactive Video Generation Model cites this paper.

Vidu S1: A Real-Time Interactive Video Generation Model Seedance 2.0: Advancing Video Generation for World Complexity

Reference 4

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no resolver link, observed 2026-07-12T04:46:57.581402Z

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source=pdf_text observed=2026-07-12T04:46:57.581402Z digest=sha256:39b79db1379f2c233c3346b809c7c9b550327f42d407ebd67f300472da27d3ab

Observation d3c08625-a7aa-4c0a-be1f-03b1b8be0acf · inbound

Vidu S1: A Real-Time Interactive Video Generation Model cites this paper.

Vidu S1: A Real-Time Interactive Video Generation Model Seedance 2.0: Advancing Video Generation for World Complexity

Reference 4

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no resolver link, observed 2026-08-02T08:56:31.474238Z

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source=pdf_text observed=2026-08-02T08:56:31.474238Z digest=sha256:5fdd0a207aa1f7f2e3024d41ad983fad093d5dba6ba89e3c4bf93721b47d9819

Observation b9a66042-2bc0-44b6-a58b-79cf79346677 · inbound

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control cites this paper.

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Seedance 2.0: Advancing Video Generation for World Complexity

Reference 25

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no resolver link, observed 2026-07-11T22:42:31.529313Z

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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:2a5a0d68da8503dc2d7ec5ddff3196e345cd15039cc924f2c9e034bc59df3938

Observation 1ed14832-1eb0-4298-933a-4298ac2431d4 · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 94

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verified exact
local_arxiv, observed 2026-07-08T07:14:44.372996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-08T07:10:33.826140Z digest=sha256:15a0cc82834da27dd1e2128cf3c072b7765d5a6637e1019746fc7297b0386886

Observation c47deaf5-7d9f-4e98-973e-5430389a9be2 · inbound

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence cites this paper.

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence Seedance 2.0: Advancing Video Generation for World Complexity

Reference 82

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verified exact
local_arxiv, observed 2026-07-09T03:05:55.356921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-09T02:55:58.018234Z digest=sha256:b1aa224db86165e541a95641999006a69a267670259860948e3a53555e1f1293

Observation 5dd83c35-a621-42e2-991b-2ddf1ddccd6e · inbound

OpenCoF: Learning to Reason Through Video Generation cites this paper.

OpenCoF: Learning to Reason Through Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 33

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verified exact
local_arxiv, observed 2026-07-10T01:46:40.986572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-10T01:43:37.265723Z digest=sha256:8fdf092d1c2253df494075c91ddee83cbbca936fed6b407ff2a7c38b1b4548e6

Observation e6376b50-cc47-4c09-a53b-6c0a86b41969 · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report Seedance 2.0: Advancing Video Generation for World Complexity

Reference 8

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no resolver link, observed 2026-07-14T03:31:19.309532Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T03:31:19.309532Z digest=sha256:d64f36f4a505b015f10648e45db764b819f91ac10b912850a40d40e4d4fedb7a

Observation 34b4b651-446c-4413-8232-0ea0a48d553e · inbound

Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization cites this paper.

Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization Seedance 2.0: Advancing Video Generation for World Complexity

Reference 47

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no resolver link, observed 2026-08-02T05:32:31.818372Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:32:31.818372Z digest=sha256:095f157e390e3250fc15f346b745138e0d23aa3228565458f36068b17dded596

Observation 06be7cc2-5021-4ff5-aec6-71e20b809b86 · inbound

MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation cites this paper.

MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 25

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no resolver link, observed 2026-08-02T03:12:36.717811Z

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source=pdf_text observed=2026-08-02T03:12:36.717811Z digest=sha256:b177ffb06bdafef5af3bb01a2df23aab34c2112d412d099223af657334662f4b

Observation 9bcd8655-7829-4163-a793-729488e3796b · inbound

KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation cites this paper.

KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 28

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no resolver link, observed 2026-08-02T02:56:20.768712Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T02:56:20.768712Z digest=sha256:8ce47b873c2260be5d1d089100f9781103d40fcdd1699e6db95338800ce3c6e5

Observation c73136b2-13bb-4565-8368-b118d93cbe71 · inbound

URVC: A Unified Real-Time Neural Video Coding Model with Temporal, Spatial, and Perceptual Adaptivity cites this paper.

URVC: A Unified Real-Time Neural Video Coding Model with Temporal, Spatial, and Perceptual Adaptivity Seedance 2.0: Advancing Video Generation for World Complexity

Reference 46

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unresolved
no resolver link, observed 2026-08-02T00:27:21.669001Z

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source=pdf_text observed=2026-08-02T00:27:21.669001Z digest=sha256:ecfd91db0de62fcc3f900d5dd795b566e8833f78ff8f811850d542a95f5cc39c

Observation 7ef3200e-3333-4700-9c9a-4f2efcd2e441 · inbound

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence cites this paper.

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence Seedance 2.0: Advancing Video Generation for World Complexity

Reference 55

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no resolver link, observed 2026-08-01T21:07:27.160605Z

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source=pdf_text observed=2026-08-01T21:07:27.160605Z digest=sha256:8621664c2d7fbc59c241c56ed224aa5da3c0cd0d74a66580252816c1ebb3b804

Observation e899f461-212a-466e-be8b-d0c4b0f19e0f · inbound

HarmoHOI: Harmonizing Appearance and 3D Motion for Multi-view Hand-Object Interaction Synthesis cites this paper.

HarmoHOI: Harmonizing Appearance and 3D Motion for Multi-view Hand-Object Interaction Synthesis Seedance 2.0: Advancing Video Generation for World Complexity

Reference 188

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no resolver link, observed 2026-08-01T19:06:47.681614Z

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source=arxiv_source observed=2026-08-01T19:06:47.681614Z digest=sha256:304ee272e773c49832fe65159de5fee3117aa9cf35aa59f23a3dd53e9a8e65ec

Observation c71b465f-ee1e-49a5-a7d9-edef270802bc · inbound

Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention cites this paper.

Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention Seedance 2.0: Advancing Video Generation for World Complexity

Reference 11

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no resolver link, observed 2026-08-01T09:00:22.097504Z

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source=pdf_text observed=2026-08-01T09:00:22.097504Z digest=sha256:783073dcb4ba695df445f50006fd729e37737cd9a171d1b458ae39d458ca598f

Observation b73745d6-0306-48bd-b60a-eaca92f8ca2e · inbound

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation cites this paper.

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 32

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no resolver link, observed 2026-08-01T07:09:07.970233Z

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source=pdf_text observed=2026-08-01T07:09:07.970233Z digest=sha256:2e13ec32e222260b8c129c07f45644fbadc53e977c40c345423deccbc2e70d5a

Observation c157b6c6-1a0e-4025-947e-c8fdd252402b · inbound

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents cites this paper.

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents Seedance 2.0: Advancing Video Generation for World Complexity

Reference 41

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no resolver link, observed 2026-07-30T18:12:00.088705Z

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source=pdf_text observed=2026-07-30T18:12:00.088705Z digest=sha256:c3ee6d25ba36a5eabe5d1717b4c8c84de9812df72aa683f686a87d23eca8f384

Observation b9d2d911-8bea-4449-aadb-21973019abec · inbound

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation cites this paper.

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 30

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no resolver link, observed 2026-07-30T10:35:02.017880Z

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source=pdf_text observed=2026-07-30T10:35:02.017880Z digest=sha256:573951334d8655b972d4a2c538fa0cd2a814f61d1eee6e743b35a557f773d8a3

Observation e996ac06-3573-4d32-b2b9-0bf410c64498 · inbound

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation cites this paper.

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 30

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no resolver link, observed 2026-08-03T01:50:59.779959Z

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source=pdf_text observed=2026-08-03T01:50:59.779959Z digest=sha256:1bce548129b11ff6bb382c2215b3648de4c5ece01e1ca941c40f64e246bc74af

Observation d955b80b-f486-48e3-acf0-ca160cbe39d3 · inbound

Towards High-Level Semantic Intelligence cites this paper.

Towards High-Level Semantic Intelligence Seedance 2.0: Advancing Video Generation for World Complexity

Reference 28

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no resolver link, observed 2026-07-31T23:06:31.421381Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:06:31.421381Z digest=sha256:91c79a9079ecfe77c7027ec1d9e8dfcf1a7837edcdaf652ab7c52a624f2a08ca

Observation bb1e5a00-a7e8-46e7-b49f-40ceb4d1bd88 · inbound

FilmBench: A Film-Grade Benchmark for Cinematic Video Generation cites this paper.

FilmBench: A Film-Grade Benchmark for Cinematic Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 20

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no resolver link, observed 2026-07-31T20:13:33.095980Z

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source=pdf_text observed=2026-07-31T20:13:33.095980Z digest=sha256:fa978a3cabea823c1f0f77443c6be3709355d794835330be3c6afcd879b8aaac

Observation 54db11b1-be71-4c4c-82ad-3571c8245ba4 · inbound

StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation cites this paper.

StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 21

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no resolver link, observed 2026-07-30T22:05:36.710580Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:05:36.710580Z digest=sha256:f34ea74b96464dc330b1779e003bdfb523caf6b426d55891b7945e47c7436a07