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Paper Citation Record · LEDGER

Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2504.08685.

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

pith.paper-citation-record.v1
2504.08685 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:39:37.772784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:38:28.927888Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6b84ede0-2f62-4a7b-984f-62c4ec85f2a1 · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 63

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metadata mismatch
arxiv_id, observed 2026-05-10T16:23:41.923027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:23:41.854132Z digest=sha256:e684f63ab794e63a544383aefc470f4168d7a933803dd578dbaaee2ab3d159cc

Observation c4ccb7b5-f4c3-41b0-ba6d-ad1f01aa7b90 · inbound

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

Seedance 1.0: Exploring the Boundaries of Video Generation Models Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-11T12:09:57.251803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T12:09:56.836351Z digest=sha256:4c81e878fc3babf0456ae59c902c07dec0d610659b296ec6a8d1e472c4f203d7

Observation b9d3063a-c2df-4442-8503-695cfd082d09 · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 93

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arxiv_id, observed 2026-05-12T18:51:15.574878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T18:51:15.428692Z digest=sha256:4162e34ee13c40219736b90baee1bb227cebdda1e7140586f30424324581ec96

Observation b9f1566c-5209-4af6-aef1-84856189071d · inbound

FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers cites this paper.

FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 43

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unresolved
no resolver link, observed 2026-08-06T16:39:37.772784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:39:37.772784Z digest=sha256:37a9446f47260354df3f339adc02570db671f769cc5ba691974e91b153bc601a

Observation 28f4dee5-1382-4b9f-a426-c16db3a73d7f · inbound

Captain Cinema: Towards Short Movie Generation cites this paper.

Captain Cinema: Towards Short Movie Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 60

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unresolved
no resolver link, observed 2026-08-06T14:37:19.596333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.596333Z digest=sha256:411a6a03d01bb4ee8a90cae15c7a8f5c28371dbe27e5bb8e71cfd40fd6d30085

Observation 175b1055-3894-440e-9fca-dd99857bf171 · inbound

X-UniMotion: Animating Human Images with Expressive, Unified and Identity-Agnostic Motion Latents cites this paper.

X-UniMotion: Animating Human Images with Expressive, Unified and Identity-Agnostic Motion Latents Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 4

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no resolver link, observed 2026-08-05T21:09:29.294406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:09:29.294406Z digest=sha256:7d668418383cc84c515c4599ac084a62807ab11e4c5b0bef9277d9bd412b0041

Observation 0c85decf-415d-402c-9e4e-9a7b071d41b3 · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 64

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no resolver link, observed 2026-08-05T20:20:23.748468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:23.748468Z digest=sha256:e33320ceb810faefd88d3fdc393c63b63fe558fa57a18f62a19027a6c68d6209

Observation 8cfe1255-ea62-4d71-9c79-71a691a2bd3f · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 64

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no resolver link, observed 2026-08-05T20:17:49.372195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:17:49.372195Z digest=sha256:cdfaba84326052abcd7fb2d4ade5e4a0187cf93eb4e7f26976eb6b1a0164849e

Observation 791f305a-286a-49ef-9a59-252815a6f1cc · inbound

Waver: Wave Your Way to Lifelike Video Generation cites this paper.

Waver: Wave Your Way to Lifelike Video Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 17

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no resolver link, observed 2026-08-05T17:45:17.936676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:45:17.936676Z digest=sha256:4a7eac3347f9c236611652a81ef62b9cfd9c4cf878b1d209ccd27a37779e50b2

Observation 1342596d-7656-46e5-9770-fa20a0badf5b · inbound

HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning cites this paper.

HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 27

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no resolver link, observed 2026-08-04T20:35:30.335032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:35:30.335032Z digest=sha256:64b54e150aad94bf2353a108ec8c9f80d1c47fd9efe0b05d98db70bbc9e312dc

Observation 064fc98f-5828-48a3-ba5a-292bb297fa5d · inbound

RewardDance: Reward Scaling in Visual Generation cites this paper.

RewardDance: Reward Scaling in Visual Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 51

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unresolved
no resolver link, observed 2026-08-04T20:08:59.968870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:08:59.968870Z digest=sha256:d9f2275429da01cdb3c3dbae6639b1f0d19e16f63c65976be47bdd950287a4b2

Observation e5dcf589-b48e-4b3e-8e42-adcb370bc1ce · inbound

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time cites this paper.

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 89

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metadata mismatch
arxiv_id, observed 2026-05-16T11:15:29.198883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T11:15:29.102090Z digest=sha256:3e4829c6f9566ea91b35ba248d965156c243a50c47f4c76e146cf957e0fda5ee

Observation 5378e822-f5a8-4f1a-9e08-a1239c89cff5 · inbound

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection cites this paper.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 102

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unresolved
no resolver link, observed 2026-08-04T10:54:31.637144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:54:31.637144Z digest=sha256:c531547c7fc7b5580aa84c98e1180db32df5e6721ab1f11d17eafdf3d4f0e65c

Observation 3d243cd6-0b4c-44d6-8aaa-ed8033a9fd5f · inbound

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space cites this paper.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 31

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unresolved
no resolver link, observed 2026-08-03T22:12:45.176013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.176013Z digest=sha256:1b0e3eafcf9cc9bbeb45b9fac1bc783433ee5024a3e59bb2e6ff15e7fccecff5

Observation ae2a22b7-c5d1-4f12-adc2-212570349f14 · inbound

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models cites this paper.

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T16:28:05.546053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T16:25:03.743594Z digest=sha256:070c962d77635d47e41ef72c9c46a8f98fced17d7e733c7d43ef45364274fbbd

Observation 88b42dd4-ed3a-497d-8b16-483cdf4dec0e · inbound

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models cites this paper.

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 51

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metadata mismatch
arxiv_id, observed 2026-05-21T16:04:14.655606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T16:01:52.150950Z digest=sha256:217ca928b2a7dfec6c50b8b77378eb40175f77a52f373decab7e2d33110375a4

Observation c45ec9d2-b244-4ece-b62f-1ef8f8aa6643 · inbound

Transition Matching Distillation for Fast Video Generation cites this paper.

Transition Matching Distillation for Fast Video Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 43

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no resolver link, observed 2026-08-03T10:35:06.585793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:35:06.585793Z digest=sha256:d6069cf24d48eb57cdbb42779210f2d1c2459777858180c245c0ad13eb630c72

Observation 070a6990-8b71-4a0f-9955-9a99132f5687 · inbound

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards cites this paper.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 5

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no resolver link, observed 2026-08-03T05:43:10.883557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:43:10.883557Z digest=sha256:91e1b8e493ba8dd2eafed87a76bd6ceb77cf0e1a888dde154bfaea2d58d5a8eb

Observation bef62dfa-142c-4cd7-84bf-a9760e83b1c4 · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 160

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metadata mismatch
arxiv_id, observed 2026-05-11T00:05:51.601744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:41:38.616611Z digest=sha256:b582eb769515d3022b67dcd8c1f966b7d2b9984ddaf60d00a4baa47a58b3a0b0

Observation f67a55ab-d8e8-4512-bffe-c20c90643fc6 · inbound

Grounded Forcing: Bridging Time-Independent Semantics and Proximal Dynamics in Autoregressive Video Synthesis cites this paper.

Grounded Forcing: Bridging Time-Independent Semantics and Proximal Dynamics in Autoregressive Video Synthesis Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 20

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metadata mismatch
arxiv_id, observed 2026-05-11T00:25:51.523044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:32:01.665435Z digest=sha256:b6ab7188c2678cea31e2d03e5102662a67f2d07f876aed25a7aa5afd831a0415

Observation 972c68cd-7ee9-4c17-b85f-b2e0073622ad · inbound

Continuous Adversarial Flow Models cites this paper.

Continuous Adversarial Flow Models Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 65

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arxiv_id, observed 2026-05-11T10:36:02.482704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:25:53.420119Z digest=sha256:e88d1be302484488d66636b8a8af9b0dc0af477976de9cf2114a4c4233f1b9fd

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

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

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

Reference 15

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:34:36.248186Z digest=sha256:feea36333fe7af2d853ffd2e72bac4f9b7f45bd3806e406b2a97e5a1488ce588

Observation e5a4cc87-e31e-40db-b47a-969ca3d1fc61 · inbound

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

Leveraging Verifier-Based Reinforcement Learning in Image Editing Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 47

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metadata mismatch
arxiv_id, observed 2026-05-12T10:06:27.515842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T08:00:33.307429Z digest=sha256:f7f494c27ba83640e16ab414b9ef8a2ed2d7f1d8872e648a4022cfa563503fb0

Observation acf8dc46-ef0c-435e-a7fe-05c800caa990 · inbound

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

Leveraging Verifier-Based Reinforcement Learning in Image Editing Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 47

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arxiv_id, observed 2026-05-21T09:14:05.916949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T09:11:02.183133Z digest=sha256:978f880577a5128de335f2afb40eb9c73978f2c261cda41c280e1cbf7e0d281b

Observation 0e74b0de-6789-4086-ae9f-8ad9f2aa1c4a · inbound

EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation cites this paper.

EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 15

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verified exact
arxiv_id, observed 2026-05-25T05:00:22.406491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:57:13.479165Z digest=sha256:44e5c26b683743612eb60b572bf5f0ee7535ec531250e7a9d9107060eeb7bd43

Observation eb757cd4-dc63-4b45-919e-b94a234eea85 · inbound

Explicit Critic Guidance for Aligning Diffusion Models cites this paper.

Explicit Critic Guidance for Aligning Diffusion Models Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 64

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arxiv_id, observed 2026-06-29T18:23:50.815168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T18:18:46.456767Z digest=sha256:8a3f908dee4da5145620640c67afe532252cb8924cebe8b9a1e49097535d9296

Observation cbe024a4-6b1b-48b1-9879-37be57156de4 · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 193

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arxiv_id, observed 2026-07-03T14:38:28.929253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:e4eefb3ea9ba75b4d900d8bf1f92cd502c8a44654bc6f7d48c8a1af83de69fd4

Observation 98dafb60-bd48-49f8-a3b1-6452588dc52e · inbound

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations cites this paper.

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 63

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unresolved
no resolver link, observed 2026-08-02T03:51:50.803561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:51:50.803561Z digest=sha256:bb44d98a7e516339be12afaa70f95e8cc612ed7671a8f549290a09661a662d0c