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Paper Citation Record · LEDGER

Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 69 inbound Pith citation observations for arXiv:2503.09642.

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

pith.paper-citation-record.v1
2503.09642 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 69 of 69 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 69 of 69 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:59:31.321644Z

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

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 920a82e0-214c-4678-a179-f6e5abbeb42f · inbound

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

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 66

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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.

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Observation b70c8b50-d6b8-4f14-bb12-5369d0d7d7b7 · inbound

SkyReels-V2: Infinite-length Film Generative Model cites this paper.

SkyReels-V2: Infinite-length Film Generative Model Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 75

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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.

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Observation 904c4401-3050-4138-8152-0c72e9d742a2 · inbound

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video cites this paper.

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 9

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-15T15:40:29.361187Z digest=sha256:5c8541886a20a99e4999f6474aa93704304df1cd95e71d7f666219cf5b24087f

Observation 1075809d-a8ea-44af-84bc-b76411acc859 · inbound

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation cites this paper.

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 48

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verified exact
arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-15T22:39:53.995700Z digest=sha256:4cdcc8f16dc349d602b5f9d3d465b376807a147b618fd368227f83238a2b3f0e

Observation ba6da576-ed99-4693-9004-51229ef2a01c · inbound

Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention cites this paper.

Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 34

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unresolved
no resolver link, observed 2026-08-03T21:59:31.321644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:59:31.321644Z digest=sha256:07c9008833469f0320da9f2b66efc86c9e50c05f9989f12665f1f0d074aa591e

Observation 83b8f0f0-54a2-4d43-a049-3ff7067711b1 · inbound

From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle Velocity cites this paper.

From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle Velocity Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 34

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local_arxiv, observed 2026-05-17T02:28:53.310062Z

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=2026-05-17T02:26:03.356487Z digest=sha256:b81dd9925f6ce65805f545a9fb4833ab9d74ac8e0e9fc7af031fc7f544096557

Observation c35fe64a-43ae-4b79-8ce2-70fc044b5c3d · inbound

RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection cites this paper.

RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 10

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local_arxiv, observed 2026-05-16T23:13:39.343438Z

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=2026-05-16T23:13:02.040618Z digest=sha256:00ae11c745e0ddbec5ad9da425b2d0441f5843a4efad2b3e8e9ec2d3a36176d0

Observation 11369396-e682-4676-a599-25ef3bac7ed1 · inbound

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? cites this paper.

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 40

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local_arxiv, observed 2026-05-16T21:48:34.447730Z

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=2026-05-16T21:46:43.353305Z digest=sha256:e2ffe5d055093965d9c208caeb3d90a4a0ef4a3088a25c2617c8f487e9ae0123

Observation 2ce84a30-86d7-4fed-b502-27154a54e225 · inbound

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting cites this paper.

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 16

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local_arxiv, observed 2026-05-16T19:18:19.613163Z

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=2026-05-16T19:13:50.065004Z digest=sha256:686779607c9ec15781efcb01b8a6a039552256e5b61b623db65653dfab7a8ace

Observation 56a81a38-911b-446a-9ef0-8a1a222faf4d · inbound

SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes cites this paper.

SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 42

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-16T07:32:30.580643Z digest=sha256:ca8bf8ef0d2284ed00a0c1f8b0015a2fb3df0431fc6c381b6a42cba51a1f0915

Observation 56670dff-207b-4700-a755-4fe2b3d1e2b1 · inbound

Olaf-World: Orienting Latent Actions for Video World Modeling cites this paper.

Olaf-World: Orienting Latent Actions for Video World Modeling Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 22

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no resolver link, observed 2026-08-03T01:20:05.279081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:20:05.279081Z digest=sha256:61d255f054322378ad7bd023a115ee90e9dd0028c712784edd55e8b857f34821

Observation df670900-14ed-456c-b8a7-24ac06e85cfc · inbound

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL cites this paper.

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 19

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no resolver link, observed 2026-08-02T23:23:52.343480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:23:52.343480Z digest=sha256:b21b94e317b026982624f933a402bdd8fe0214a5829b9c8e6ba8fc289cca4e3c

Observation 141dbb9b-642f-4bfd-a13b-fb3072dd6a28 · inbound

Pinterest Canvas: Large-Scale Image Generation at Pinterest cites this paper.

Pinterest Canvas: Large-Scale Image Generation at Pinterest Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 25

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unresolved
no resolver link, observed 2026-07-15T13:50:51.666642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:50:51.666642Z digest=sha256:cc302bceace0f0fd5f70952aef27a7285745aa1dc1b85a309cab7d9f61571698

Observation 83927022-654d-4a02-aa64-b0b897c37e45 · inbound

SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents cites this paper.

SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 10

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local_arxiv, observed 2026-05-22T11:16:27.843107Z

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=2026-05-22T11:14:47.943242Z digest=sha256:aedbd9291c5c07cb1a7d2ea1c4eb84e8c265232d0432e4f8c45dc98c55407a42

Observation 0aa3c1e2-e35c-4899-9bbd-f2546e30f5bc · inbound

TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking cites this paper.

TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 65

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unresolved
no resolver link, observed 2026-08-03T02:31:02.214524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:31:02.214524Z digest=sha256:2df927876229462f1f4c11b81671ba0cd9a9c18fbcd117425e5a21499a30f8c9

Observation aab9ee46-f6d8-407c-aee7-f17f71a9266a · inbound

OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models cites this paper.

OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 28

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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.

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Observation b9f8eb1b-7d91-4f47-bcc7-2c46d222a031 · inbound

GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads cites this paper.

GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 45

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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.

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Observation b31e54c2-6657-4d82-8a3f-cbca3e22d95f · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 176

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-10T18:41:38.616611Z digest=sha256:b3912e3f56141018172b07e4d11a486d26060403959f6a1f207e4277fca4807b

Observation b6d30548-342f-4287-b64b-00776aa4fe7d · inbound

Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation cites this paper.

Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 33

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-10T16:10:54.363560Z digest=sha256:9203a55c8c18baf64f74fab46dee5fb1871f00c4c5f2aaca9b52fabc9b33f5b1

Observation 4cf769a2-9986-4b0c-81c5-d513fa9d04a3 · inbound

AnimationBench: Are Video Models Good at Character-Centric Animation? cites this paper.

AnimationBench: Are Video Models Good at Character-Centric Animation? Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 11

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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.

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Observation 1b3faa60-230a-4423-8022-1faa06d4171f · inbound

Motif-Video 2B: Technical Report cites this paper.

Motif-Video 2B: Technical Report Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 54

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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

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Observation 94a61705-8995-44b7-bc9e-7a25f66a2cd3 · inbound

Motif-Video 2B: Technical Report cites this paper.

Motif-Video 2B: Technical Report Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 54

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local_arxiv, observed 2026-05-21T00:13:53.007537Z

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

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Observation 946d4860-acbe-403c-99a5-dd0cf89578d7 · inbound

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models cites this paper.

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 56

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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

source=pdf_text observed=2026-05-10T06:03:06.920592Z digest=sha256:f3f0eea33ddd7789124d023ea31a968551fe2f46c420f4f8f935def9c83c4334

Observation 9933c3d1-a0c6-4b11-8ccf-ee845ac20fe8 · inbound

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models cites this paper.

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 56

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-12T02:52:58.232585Z digest=sha256:0045a3bf12422509934f5da7817109c2a13e6600382b615138a6c7a8f7063402

Observation 11126354-9000-43db-b4ae-9861d0f9ca92 · inbound

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models cites this paper.

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 56

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local_arxiv, observed 2026-07-05T16:51:14.271205Z

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.

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Observation 6d8bab66-7808-4423-8144-6210c2beef50 · inbound

AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe cites this paper.

AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 56

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-09T22:42:52.758195Z digest=sha256:f35710fbd549105015d6704e51f8e6d9599d7f4d064f30f3d30a9c6f9fce3890

Observation a1d9c5c3-9e5d-44b1-ad84-f8344d642602 · inbound

Scaling Properties of Continuous Diffusion Spoken Language Models cites this paper.

Scaling Properties of Continuous Diffusion Spoken Language Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 29

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-08T03:43:10.132447Z digest=sha256:e9019ee029ffa3bc584a3f49d259ed4230f512d0b8c9747d8dbc4a910c49f8d8

Observation 1570e376-bb2e-448c-9943-60816d2cee37 · inbound

Motion-Aware Caching for Efficient Autoregressive Video Generation cites this paper.

Motion-Aware Caching for Efficient Autoregressive Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 26

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-10T15:40:03.605239Z digest=sha256:cb2d8183271b433514f30c1f04a3e9f608fd2711df900d04cfa0fd118c50e551

Observation 51fd0951-e744-4f08-9daf-4557e8e93091 · inbound

Motion-Aware Caching for Efficient Autoregressive Video Generation cites this paper.

Motion-Aware Caching for Efficient Autoregressive Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 46

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-15T07:16:05.225105Z digest=sha256:02a230cc38519d8b7fa4393b4e6224f726412e526cf20a63795ba2771e71c61b

Observation 118701a2-2a6e-4b69-901b-6a3744cd4e01 · inbound

Learning Visual Feature-Based World Models via Residual Latent Action cites this paper.

Learning Visual Feature-Based World Models via Residual Latent Action Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 9

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=2026-05-11T01:37:27.658078Z digest=sha256:4f088647ebc5a46536bf646c32836150d9ed34dfff5ce77d910c5719dcd1b2be

Observation 03bd7dcb-17c4-4a90-acd7-3d474a8f9e2f · inbound

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

Relative Score Policy Optimization for Diffusion Language Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 104

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arxiv_id, observed 2026-05-16T12:09:39.930389Z

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=sha256:219e2b4cfd7f12af7f4a94a84a516c956ee55b2366c4ca6850f8403a273e0f4f

Observation 968722e2-8690-4763-a087-54b756460ed7 · inbound

ReactiveGWM: Steering NPC in Reactive Game World Models cites this paper.

ReactiveGWM: Steering NPC in Reactive Game World Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 25

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local_arxiv, observed 2026-05-19T16:33:08.278587Z

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=2026-05-19T16:32:57.227291Z digest=sha256:2a374f438899ff7fad0c9cfa0a50ed98d984559b0b926495322d1d57d8f3dc25

Observation a88d0a11-ea7e-40c9-95ce-2758fe29d4e3 · inbound

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

Lance: Unified Multimodal Modeling by Multi-Task Synergy Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 91

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verified exact
local_arxiv, observed 2026-05-20T11:48:14.981357Z

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=sha256:12c882645365753e7414712e138c811adb1a7084fcaa3afb746abbb27a24e49f

Observation cc3b0bd5-9e00-4cc4-b811-955a4a1ac514 · inbound

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

Lance: Unified Multimodal Modeling by Multi-Task Synergy Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:59:50.623503Z

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=sha256:79249c75763b5f028c98848d358cac4fa7d33a2acdfeaf0ca63954e85c8f1537

Observation 626cd2ad-7a54-4975-89d5-ad0301584915 · inbound

Toward Native Multimodal Modeling: A Roadmap cites this paper.

Toward Native Multimodal Modeling: A Roadmap Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 184

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:04:02.002481Z

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=sha256:810e43ccfdba5a5c91e551d622175d6f3ebdc3c99e7686b9a0c0d3400dcdf2e1

Observation cb2d84a4-6724-4155-8a49-36619d0b34e0 · 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 Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:54:00.790687Z

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:c68caedcbd9085a41a89ccb24a2763b40479c72700afd5124309a6db1c4dd762

Observation 7a52f2f8-3b1c-4d11-bab1-4db4b4c3222f · inbound

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models cites this paper.

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:53:28.696566Z

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=2026-06-29T13:49:45.095377Z digest=sha256:364ca6aa96c994712ea124b09e3d87f45f9035f964ec4625a1d8fbbb51f891c6

Observation 2c92d4f0-25b2-48a2-9450-0442c9ee4cc7 · inbound

OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning cites this paper.

OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-06-29T13:13:27.491850Z

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=2026-06-29T13:06:02.201607Z digest=sha256:e1551bca0984c0e5c1029bcba3d515668bfeeba4d62fee904b843f6a822d01e6

Observation 807ed6be-737a-4241-9b93-0c625a155c2e · inbound

KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and Editing cites this paper.

KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and Editing Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:53:16.137411Z

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=2026-06-29T08:46:56.390567Z digest=sha256:d01392daee97045fba909d9bcbcc6da510c2af50f514acbc03c5e2a2fa5c5223

Observation b1d7fa2f-2238-42cd-a960-9ca2d61ab926 · inbound

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation cites this paper.

DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:03:13.595934Z

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=2026-06-29T08:00:47.144439Z digest=sha256:909bab97cd1cefdced7ab29f314276717197f62d4d3ca66913f727170e9d94ab

Observation 6f8c9d2e-f6a6-448f-9c47-a625c0be4b26 · inbound

YoCausal: How Far is Video Generation from World Model? A Causality Perspective cites this paper.

YoCausal: How Far is Video Generation from World Model? A Causality Perspective Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:33:15.519319Z

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=2026-06-29T08:27:03.674229Z digest=sha256:46b4db5105aafe00a8577e9dbc3558b879e34de3c0329b86e18d318539a10f38

Observation a4e2be8b-1135-4358-97aa-b5f5fb060b4e · inbound

MedSyn2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts cites this paper.

MedSyn2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:46:14.054958Z

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=2026-06-28T17:43:27.624762Z digest=sha256:8a771a3ec4670be0f7b2b9c3e25f69bd087f3bd5c66a3e06f2fc24b2af6c51f5

Observation 837f0016-0877-4393-a5be-724c0ca2cb0b · inbound

Real-Time Generation of Streamable Talking Portrait Video with Reference-Guided Deep Compression VAEs cites this paper.

Real-Time Generation of Streamable Talking Portrait Video with Reference-Guided Deep Compression VAEs Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:06:17.007451Z

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=2026-06-28T15:41:59.683979Z digest=sha256:f8114b8e2240ae820127479fafb5e900f1399e6363d0a156fa2a9c254e9d004e

Observation 8b47b616-e6d6-4758-bd9a-1ada7bea218a · inbound

WALL-WM: Carving World Action Modeling at the Event Joints cites this paper.

WALL-WM: Carving World Action Modeling at the Event Joints Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:36:22.473839Z

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=2026-06-28T14:15:14.454649Z digest=sha256:6ea0dfe0e4a912c4ffac9397ee011185c6414ada0523ab4e296ed6406c9eb45e

Observation 3a69ab0b-796b-47bd-9210-36e2a676aef6 · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-03T16:28:39.316893Z

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=2026-06-27T05:35:01.339479Z digest=sha256:fab806be9b14d9b0e4e57f004c0aaf3b5eba74ca226f169d0de66d043dcb2d02

Observation 4fab64d1-b6f9-436c-bdd0-19076790e55d · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-03T23:59:06.285188Z

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=2026-07-03T23:50:39.241880Z digest=sha256:9782909a9c27bd3c1c4cc9530aaf21614fcce4471dba70f39732eb8b8c200107

Observation 384ca304-2255-473d-84ae-1c2fcc520b66 · 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 Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:28:44.909797Z

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=sha256:6ebba8b7707b3e5408c9cae6d00d4bf5186ac2caecbe35b504a7e3c11eea1be7

Observation 262627b2-7a15-4dd2-babc-b0441e9367f2 · inbound

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training cites this paper.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T02:49:24.717053Z

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=2026-06-26T19:06:16.100762Z digest=sha256:91f22ce824b0c1ee27b0f004da997e798fefa4183f8f6f72543a89d3cb47a09d

Observation 98e6c622-302c-43ca-9095-d582990aa9d6 · inbound

Towards Error-Free Long Video Generation cites this paper.

Towards Error-Free Long Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T08:59:42.124937Z

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=2026-06-26T10:49:36.838492Z digest=sha256:f815e0bab018fe1ab7e3bc9a7af4784949b819e3d4409a143d49240a5a257474

Observation 6d88a5b1-d84b-4f3b-9f61-cbe0bb4c0e16 · inbound

GeoT2V-Bench: Benchmarking 3D Consistency in Text-to-Video Models via 3D Reconstruction cites this paper.

GeoT2V-Bench: Benchmarking 3D Consistency in Text-to-Video Models via 3D Reconstruction Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:29:57.972229Z

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=2026-06-26T00:28:33.734545Z digest=sha256:7084e92e2a4a12c3266c856b00318c0cea32d61bf1c3f1e59df37bf77b4017b9

Observation 684d294d-a131-4311-b92b-c30df5a290d1 · inbound

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting cites this paper.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:09:52.642440Z

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=2026-06-26T04:33:24.123761Z digest=sha256:2785f4795cba1c48c087651794a58320b46a8645a31ab48a2878d00445a97364

Observation d4a2e50a-2ca5-4621-b6fe-8b29bc80f1f1 · 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 Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:19:53.503584Z

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:d1d6e750b992fc53eb5ada567f3d4319af60f5a315abd9f1c8496c7ed89f4971

Observation 4ce232f0-eaff-45c0-b19f-d20d22452b3c · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T18:25:57.721957Z

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=2026-06-29T02:03:45.564122Z digest=sha256:4a39756def9967b8e69ee6a530243137cdd5e2ce9820ecb55394686369a8fd8e

Observation 06afcf1b-ad8e-4b2d-849d-e7a2d86d81ed · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:35:40.547700Z

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=2026-07-01T06:25:58.872140Z digest=sha256:1c1f33ecc5b7e7cb96b5115b215ba051254c28fe7c473e325f2e6ad8aebb4348

Observation b2cf2076-34ae-4fe9-8eee-b7d630d9d4f3 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T20:57:22.808946Z

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=2026-07-02T20:52:28.444524Z digest=sha256:9b8c87ef967e362914b5a2a359a2b63cb6d5dea39881aee6498f2ce4c89ae10d

Observation 1d64e2e9-e152-4d6a-bca9-23f7e294a059 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T22:49:00.938974Z

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=2026-07-03T22:44:16.272541Z digest=sha256:ae6738e71f2d6edb29261b2979621d60660071f8888a0e9e53750aa52da9d487

Observation 5123804f-f60e-42ba-af06-a2a1d71686e9 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-14T17:14:19.770867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:14:19.770867Z digest=sha256:b517850b7bed3600583c0ba05812712b272179d446f7648d77cf0e965f1bd87f

Observation 9f3e3eb2-9343-40e5-92c4-54410ed9ef62 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T10:00:13.451131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:00:13.451131Z digest=sha256:17362576a21ae74f46b71da2be60d9e2c0bcc20ebadc016e45bc9f89947c1358

Observation 9723408a-818d-47a4-b84c-2c8026a007f6 · inbound

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation cites this paper.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-12T09:35:12.908124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:35:12.908124Z digest=sha256:947ab1519bec75478d87a2eacb78e5b8ce97a74a2ec7661232ef541a8a08e6d4

Observation 38d1292a-0170-44c4-bcb6-94e0867b0276 · inbound

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation cites this paper.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T16:53:34.398685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:44b10279255b5193293212c921511cbe284094e6d1cd0457aca25a14308dc7b5

Observation e3a1f9b2-1935-4a7e-8c5f-539b545053e4 · inbound

Is Energy Guidance All You Need? Training-Free Norm Injection for Driving World Models cites this paper.

Is Energy Guidance All You Need? Training-Free Norm Injection for Driving World Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T09:19:00.292691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:19:00.292691Z digest=sha256:3f74340160038dbfb6ff6c2feadf39da7597fbb26c6b27bd0005437779a12504

Observation af252ccc-095f-40ad-af6d-a61b8033e6f9 · 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 Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-02T05:32:35.408849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:32:35.408849Z digest=sha256:18f36e8c94d4737df0a25a6314503f349a6a9f7f38206cb225cbebb4a7bb2aac

Observation 33d9ae6e-62e1-4d9b-971e-ebb47ab9728b · inbound

LPM: Industrial-Scale Generative Video Restoration cites this paper.

LPM: Industrial-Scale Generative Video Restoration Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-02T05:11:09.835348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:11:09.835348Z digest=sha256:375472254238ce447a5bf66dc57c7b1f8cc9c40000f0f35b1de453b954be34cd

Observation dd0e7d42-f455-4c15-8301-e8f7634e5fec · inbound

Inference-Time Concept Suppression and Video-Centric Evaluation for Text-to-Video Models cites this paper.

Inference-Time Concept Suppression and Video-Centric Evaluation for Text-to-Video Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T03:10:20.830883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:10:20.830883Z digest=sha256:abf22be8941c3c3566f8d47764e1285f44b8bce5e560e3ad0bbc0e49c8f07ff8

Observation a8d52b6c-0528-40ae-a657-ef4b2cac58db · inbound

Inference-Time Concept Suppression and Video-Centric Evaluation for Text-to-Video Models cites this paper.

Inference-Time Concept Suppression and Video-Centric Evaluation for Text-to-Video Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T03:10:20.833689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:10:20.833689Z digest=sha256:9a56782b0f99e74b82e04ee5fc625707cf3c851ae9d0b9e4b784809846a50265

Observation bbfc114a-6312-4c88-a10f-0127a4deedd6 · 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 Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-01T19:06:40.515880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:06:40.515880Z digest=sha256:425b3a9fa8935b8e56f59fb48f3f420af55e3ced41e4a762e760c60ce2991463

Observation 407caaca-ebf6-46d4-bf8f-815ba5901464 · inbound

Between Safe Boundaries: Exploiting Temporal Consistency for Jailbreaking Text-To-Video Generation Models cites this paper.

Between Safe Boundaries: Exploiting Temporal Consistency for Jailbreaking Text-To-Video Generation Models Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 17

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no resolver link, observed 2026-08-01T18:33:04.930353Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T18:33:04.930353Z digest=sha256:e7ed7618a6767f036f456bea40dc02a81660a02ba87fd2e6d3e15f7c5fe4f0ac

Observation acfafd34-ebcd-4684-8db1-d275f6af47c1 · inbound

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation cites this paper.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 45

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unresolved
no resolver link, observed 2026-08-01T14:02:16.807981Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T14:02:16.807981Z digest=sha256:6eb41f13a1fbc66c1f33c2042651c4aaa70b0dc4e9820009ccf7c92580c480f0

Observation 9f939f6d-c5fb-4c6e-92dd-4cef37750e66 · 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 Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 50

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no resolver link, observed 2026-08-01T07:09:10.371272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:09:10.371272Z digest=sha256:620ec9f9afc6c67e931ecc48c03adaaa5c53eceb8a6562b8801b2bde03708ee5