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Paper Citation Record · LEDGER

Olaf-World: Orienting Latent Actions for Video World Modeling

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2602.10104.

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

pith.paper-citation-record.v1
2602.10104 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:20:05.857938Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T09:42:44.654825Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:29:37.344466Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 52071e9b-e375-4f87-96a4-3c7465b46f9b · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Olaf-World: Orienting Latent Actions for Video World Modeling Cosmos World Foundation Model Platform for Physical AI

Reference 1

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source=pdf_text observed=2026-08-03T01:20:04.586979Z digest=sha256:6d65179549dba502442e01537c40a3034ef70ed43e588e8c7f3883a76fbe6de1

Observation 43ef84fc-5994-4ce2-bc01-e72497136123 · outbound

This paper cites Motus: A Unified Latent Action World Model.

Olaf-World: Orienting Latent Actions for Video World Modeling Motus: A Unified Latent Action World Model

Reference 4

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source=pdf_text observed=2026-08-03T01:20:04.689537Z digest=sha256:f3e94c5535ed9fcafb95faa6c1d2e0ea963322b1b042be15d047c09bdf9a6adf

Observation 13b2f4b7-e832-4f2e-94d7-7ab0a2411131 · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

Olaf-World: Orienting Latent Actions for Video World Modeling UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 5

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source=pdf_text observed=2026-08-03T01:20:04.726504Z digest=sha256:d426ae2fa39ee85de4a0a77719a2b0060529692f83760f3babde4904492cccfc

Observation a5237902-803f-4c63-88f0-1a1ce5e7505b · outbound

This paper cites VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models.

Olaf-World: Orienting Latent Actions for Video World Modeling VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Reference 6

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source=pdf_text observed=2026-08-03T01:20:04.762038Z digest=sha256:df44ae64c5da9bd54f110118be3535cbf958681f0f45be27b1ca32bbe72469cb

Observation 5a9966e7-249e-4536-8d2d-1ce8cd88630d · outbound

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

Olaf-World: Orienting Latent Actions for Video World Modeling SkyReels-V2: Infinite-length Film Generative Model

Reference 7

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source=pdf_text observed=2026-08-03T01:20:04.797838Z digest=sha256:483efe413465661481ccebdf887c51a7f9af5cac18f15c43a4df0c801a0a120d

Observation da343538-6d13-4a19-9490-fb0384b84915 · outbound

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

Olaf-World: Orienting Latent Actions for Video World Modeling Seedance 1.0: Exploring the Boundaries of Video Generation Models

Reference 8

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source=pdf_text observed=2026-08-03T01:20:04.834334Z digest=sha256:6ea85afd98020ea602a9b661c963e2d473bb8c62f5076103e11a5e10c9bedff6

Observation a802e553-33bd-4666-b674-f5116de657b6 · outbound

This paper cites Learning latent action world models in the wild.arXiv preprint arXiv:2601.05230,.

Olaf-World: Orienting Latent Actions for Video World Modeling Learning latent action world models in the wild.arXiv preprint arXiv:2601.05230,

Reference 9

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source=pdf_text observed=2026-08-03T01:20:04.868697Z digest=sha256:32b2ecc773be42b5b2c72978689cf1df875b4c739ee121c6a5534ed850b34cc6

Observation 33a510f0-6f5f-46c0-918d-3eeca10bd830 · outbound

This paper cites World Models.

Olaf-World: Orienting Latent Actions for Video World Modeling World Models

Reference 11

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source=pdf_text observed=2026-08-03T01:20:04.942278Z digest=sha256:d583415f80adb9122e2bc4bb146bbd4b82d0ee589b5e1df6440d42e105a7c89d

Observation 736ddd35-5f3e-4def-83fe-e5cc57226648 · outbound

This paper cites ViPE: Video Pose Engine for 3D Geometric Perception.

Olaf-World: Orienting Latent Actions for Video World Modeling ViPE: Video Pose Engine for 3D Geometric Perception

Reference 15

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source=pdf_text observed=2026-08-03T01:20:05.068180Z digest=sha256:9831d64cd6ed22b6325367ec73a6ae2135647ff285b4d528c3e19853e3a1ff5f

Observation faeefcb4-f2c9-4913-89e2-b32bc9491dbe · outbound

This paper cites VChain: Chain-of-Visual-Thought for Reasoning in Video Generation.

Olaf-World: Orienting Latent Actions for Video World Modeling VChain: Chain-of-Visual-Thought for Reasoning in Video Generation

Reference 16

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source=pdf_text observed=2026-08-03T01:20:05.104048Z digest=sha256:c69115f6eda05f20d374091b4f2f8b0d27d3e78e87225aaa0b8b5b8a0c88215d

Observation 309db6c4-7de5-4cf6-b322-d0672ef371fb · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Olaf-World: Orienting Latent Actions for Video World Modeling HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 18

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source=pdf_text observed=2026-08-03T01:20:05.160714Z digest=sha256:6d2201de34fe3c36ef80c2e3c9d500189c17f7119c71b78354f055dccf5634d1

Observation 58588272-fc98-4b23-9a36-892eaf3e12b0 · outbound

This paper cites What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425,.

Olaf-World: Orienting Latent Actions for Video World Modeling What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425,

Reference 19

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source=pdf_text observed=2026-08-03T01:20:05.187392Z digest=sha256:86780c3647eb1e0bfb3c6d07e9f70c3318c20f17d0e442a6098bc43f919d7176

Observation d84a29e6-874c-4c8e-99f9-c89210758a77 · outbound

This paper cites REPA-E: Unlocking vae for end-to-end tuning with latent diffusion transformers.arXiv preprint arXiv:2504.10483,.

Olaf-World: Orienting Latent Actions for Video World Modeling REPA-E: Unlocking vae for end-to-end tuning with latent diffusion transformers.arXiv preprint arXiv:2504.10483,

Reference 20

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source=pdf_text observed=2026-08-03T01:20:05.220090Z digest=sha256:77efa5bb7ada99d2a07238a449bbc46b85e9bcc14a7e5e75dda7b59f092366b2

Observation 42ad66a7-f86c-46ee-97b0-21c9d5390935 · outbound

This paper cites C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation.

Olaf-World: Orienting Latent Actions for Video World Modeling C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation

Reference 21

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source=pdf_text observed=2026-08-03T01:20:05.240723Z digest=sha256:fc31329c5e31ad4fbbc6464390c339f6a2ff7873292752917615a58feee88cd5

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

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

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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source=pdf_text observed=2026-08-03T01:20:05.279081Z digest=sha256:806a92fbfaf1dd61bce78441e1e4834e0e5bfad1994358a185b2b41d33bbc44a

Observation fb938414-a4d9-4490-a804-b479e94119fc · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?arXiv preprint arXiv:2512.10794,.

Olaf-World: Orienting Latent Actions for Video World Modeling What matters for representation alignment: Global information or spatial structure?arXiv preprint arXiv:2512.10794,

Reference 23

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source=pdf_text observed=2026-08-03T01:20:05.315656Z digest=sha256:0f575a9c7e682d42a6d716170999cd6ab0d2bbbfb56653caf8946b7499ba4e93

Observation c233663b-9f45-4410-a8ac-6b02cfc926ab · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

Olaf-World: Orienting Latent Actions for Video World Modeling WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 24

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Observation a7785d32-b6f0-4c38-b681-7821f6e41bc9 · outbound

This paper cites Hunyuan-GameCraft- 2: Instruction-following interactive game world model.

Olaf-World: Orienting Latent Actions for Video World Modeling Hunyuan-GameCraft- 2: Instruction-following interactive game world model

Reference 25

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Observation e68baeef-f02d-4719-879c-080c64073f28 · outbound

This paper cites Advancing Open-source World Models.

Olaf-World: Orienting Latent Actions for Video World Modeling Advancing Open-source World Models

Reference 26

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source=pdf_text observed=2026-08-03T01:20:05.415787Z digest=sha256:6cdbfd8cc38473829ef2997bea1422d65127ee4a3e808e4d852b8ef2e537a090

Observation 879f17e1-9231-44e1-9cd9-6a0bc4927fb0 · outbound

This paper cites MAGI-1: Autoregressive Video Generation at Scale.

Olaf-World: Orienting Latent Actions for Video World Modeling MAGI-1: Autoregressive Video Generation at Scale

Reference 27

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source=pdf_text observed=2026-08-03T01:20:05.452452Z digest=sha256:bb01179785f51c038fda0b2758c0d4767d96eb16527bc738d69265e17b070072

Observation dcb3cf1f-16ce-4c59-9c65-562e836051d8 · outbound

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

Olaf-World: Orienting Latent Actions for Video World Modeling Wan: Open and Advanced Large-Scale Video Generative Models

Reference 28

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source=pdf_text observed=2026-08-03T01:20:05.488049Z digest=sha256:e27089296bedd46bd5c1a915dd7c400f741871b8f5752eb5b3b27d8e7721d636

Observation 0e07ce05-91b2-40dc-9d2c-b0b1c7801cd2 · outbound

This paper cites Posterior Collapse and Latent Variable Non-identifiability.

Olaf-World: Orienting Latent Actions for Video World Modeling Posterior Collapse and Latent Variable Non-identifiability

Reference 29

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source=pdf_text observed=2026-08-03T01:20:05.524183Z digest=sha256:9aad519a964d3319342de8389d390c36364fcfc267837ca1d59edb2a841373b4

Observation 98db06a2-b101-4f05-bdc4-bc0e9f6d82c7 · outbound

This paper cites Co-Evolving Latent Action World Models.

Olaf-World: Orienting Latent Actions for Video World Modeling Co-Evolving Latent Action World Models

Reference 30

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Observation d4271ad1-e621-4140-b318-795f780d4f68 · outbound

This paper cites Video models are zero-shot learners and reasoners.

Olaf-World: Orienting Latent Actions for Video World Modeling Video models are zero-shot learners and reasoners

Reference 31

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Observation c6a8283b-4728-41b7-84fa-13ad89c0f4a4 · outbound

This paper cites VideoAuteur: Towards long narrative video generation.

Olaf-World: Orienting Latent Actions for Video World Modeling VideoAuteur: Towards long narrative video generation

Reference 32

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Observation fbc78494-4d02-4b2e-afbd-169caaea4faa · outbound

This paper cites an unresolved cited work.

Olaf-World: Orienting Latent Actions for Video World Modeling Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-03T01:20:05.668370Z digest=sha256:b905a2371ec4723eee2abcdbd551bd9645af66c0b5ad659c92b69877597978bf

Observation 802d0bb7-ad06-4f6c-b8e5-34ab778c7730 · outbound

This paper cites GameFactory: Creating new games with generative inter- active videos.arXiv preprint arXiv:2501.08325, 2025a.

Olaf-World: Orienting Latent Actions for Video World Modeling GameFactory: Creating new games with generative inter- active videos.arXiv preprint arXiv:2501.08325, 2025a

Reference 34

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Observation d5d8b808-8ec5-45c7-9ece-95dc7f9a5a55 · outbound

This paper cites Light-weight probing of unsupervised representations for Reinforcement Learning.

Olaf-World: Orienting Latent Actions for Video World Modeling Light-weight probing of unsupervised representations for Reinforcement Learning

Reference 35

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source=pdf_text observed=2026-08-03T01:20:05.740347Z digest=sha256:1a3440780d390968c9490a19966cd5573a33ec43bf43bce94e170440fdc3927e

Observation fea40679-2fe9-42ba-a4d7-980a8fee9702 · outbound

This paper cites VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models.

Olaf-World: Orienting Latent Actions for Video World Modeling VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models

Reference 36

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Observation 81d0d2b5-30a2-433e-84a8-f77b306b15f0 · outbound

This paper cites same action.

Olaf-World: Orienting Latent Actions for Video World Modeling same action

Reference 37

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source=pdf_text observed=2026-08-03T01:20:05.811946Z digest=sha256:5a395dbcaf719e39c4b56a8e3c948f74f01981d822df780c56ddc45f0cd8fee2

Observation 034ff4bc-f013-47ee-af42-a7fcc0f11675 · outbound

This paper cites Training.We train with AdamW using learning rate 2.5×10−5 and weight decay 10−2, with total batch size 32 on 8×H200 GPUs.

Olaf-World: Orienting Latent Actions for Video World Modeling Training.We train with AdamW using learning rate 2.5×10−5 and weight decay 10−2, with total batch size 32 on 8×H200 GPUs

Reference 38

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Observation 76495e30-a435-4715-9b62-e47cdaa7142f · outbound

This paper cites Boat Drive Forward then Turn Left.

Olaf-World: Orienting Latent Actions for Video World Modeling Boat Drive Forward then Turn Left

Reference 39

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source=pdf_text observed=2026-08-03T01:20:05.857938Z digest=sha256:73521afb8e25d29673bfe396003f345e37e561615b84313f68d24632db89d16e

Observation 20c1d0e2-b665-437f-b463-1a40d85220d0 · outbound

This paper cites RELIC: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040,.

Olaf-World: Orienting Latent Actions for Video World Modeling RELIC: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040,

Reference 2017

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source=pdf_text observed=2026-08-03T01:20:05.040281Z digest=sha256:294efe6a52f194a0feb365f4694c93812f6a6cd723bd789f54090b3f6ff60d4b

Observation db35b54e-fa35-4ecb-8f49-6b8463e1bf10 · outbound

This paper cites J., and Lee, Y.

Olaf-World: Orienting Latent Actions for Video World Modeling J., and Lee, Y

Reference 2020

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Observation 663b81eb-0896-4230-b10f-c580c93de66e · outbound

This paper cites Mastering Diverse Domains through World Models.

Olaf-World: Orienting Latent Actions for Video World Modeling Mastering Diverse Domains through World Models

Reference 2022

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Observation 9b6a8d40-7881-4f8d-a1f3-0b8f701fccc8 · outbound

This paper cites Matrix-game 2.0: An open-source real-time and streaming interactive world model.

Olaf-World: Orienting Latent Actions for Video World Modeling Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 2023

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Observation 612e5dc3-2012-409f-9649-c32baa742f19 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Olaf-World: Orienting Latent Actions for Video World Modeling V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2024

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Observation eb6b682b-51a6-49f1-9ce5-19aa58252902 · outbound

This paper cites G., Habibian, A., and Ghafoorian, M.

Olaf-World: Orienting Latent Actions for Video World Modeling G., Habibian, A., and Ghafoorian, M

Reference 2025

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no resolver link, observed 2026-08-03T01:20:04.654870Z

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source=pdf_text observed=2026-08-03T01:20:04.654870Z digest=sha256:cf7f5f99db7ce2e2e92ed87ed6b3e16428691dc1cec69eaf3777aa5b8c201d9e

Observation 5fc3c6d6-0be7-44f8-87a6-27b7cc2f9438 · outbound

This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.

Olaf-World: Orienting Latent Actions for Video World Modeling Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 2026

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no resolver link, observed 2026-08-03T01:20:04.905745Z

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source=pdf_text observed=2026-08-03T01:20:04.905745Z digest=sha256:d2c68958bb55a6f20b071ea8273b0322deb6718797c714e19dcea45fb1cd1e4a

Pith citing papers

Observation 03467068-3f90-41c2-aff6-98c5a151d989 · inbound

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends cites this paper.

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends Olaf-World: Orienting Latent Actions for Video World Modeling

Reference 61

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local_arxiv, observed 2026-07-01T21:06:13.800395Z

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Observation 842a877a-17df-434d-9764-b3b4928071fd · inbound

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning cites this paper.

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning Olaf-World: Orienting Latent Actions for Video World Modeling

Reference 21

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verified exact
local_arxiv, observed 2026-07-04T06:29:37.345884Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T14:28:36.505775Z digest=sha256:b158f7ae694634ea65d6efd3ebc6cd23d48c46d1c2e6b8375598972d2cd280cf

Observation 6bb3bf1a-7a45-4fdc-aaef-54f4d41d3218 · inbound

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow cites this paper.

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow Olaf-World: Orienting Latent Actions for Video World Modeling

Reference 32

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no resolver link, observed 2026-07-31T09:42:44.654825Z

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source=pdf_text observed=2026-07-31T09:42:44.654825Z digest=sha256:5a9e07131a88ce19c2214fb0868301eae891bd41bac93084dd3d040e1d9622d3