Pith. sign in

Paper Citation Record · LEDGER

Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2406.16862.

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

pith.paper-citation-record.v1
2406.16862 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:00.845679Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:04:26.253123Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7bf51a50-cdb3-450e-b276-1f093362f7a4 · inbound

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation cites this paper.

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:17:01.445669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T12:17:01.294466Z digest=sha256:8ab1d4d11830c5b360e700f29a6d4130200e541dc103428c7cdce78336210a60

Observation e15e0d37-d20b-425f-9fbd-a0e04fa81b58 · inbound

ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions cites this paper.

ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T00:04:08.852974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:04:08.852974Z digest=sha256:42b10236a0e4017ac0469aa56cef5f8fd714eedd0ea1b20eafea7e205c1d9e28

Observation 7dd9c07c-e3d5-463b-af48-43e754b0d8bb · inbound

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model cites this paper.

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T18:07:55.135473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:07:55.135473Z digest=sha256:8b94db10a4d2178f3545333f7abcb92953a7144bb3d8fa2c4acc41f871af7e9e

Observation 47002f1c-9acb-431e-977a-2ac912fdc0ca · inbound

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges cites this paper.

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:23.336245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:23.336245Z digest=sha256:9bdbc7241d89cc191f029f2b01a190ccb41ddde4f4ebcb689e5f248f7dba521a

Observation 44dfe1b6-7bd1-4773-b452-2a379feef768 · inbound

VILP: Imitation Learning with Latent Video Planning cites this paper.

VILP: Imitation Learning with Latent Video Planning Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T14:33:35.423656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.423656Z digest=sha256:414516cbc9b6b5545ee51780ca965a0b32a2afbfa7b67e0ba58a39d785d7a75f

Observation 5528f362-71d3-4c40-b732-4bd10594960f · inbound

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models cites this paper.

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:21:45.195212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T05:21:44.903048Z digest=sha256:1428af793a4ecee34fa510147a59f6a5a8ec76b214b10dafb854fd1a1cbaf3ff

Observation 51c8893f-8572-4192-a5b0-6a67f6f4ca40 · inbound

Solving New Tasks by Adapting Internet Video Knowledge cites this paper.

Solving New Tasks by Adapting Internet Video Knowledge Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T11:33:00.845679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:33:00.845679Z digest=sha256:1871c30083e81228afe928a31a25e83a57206dfdfce19b6a1d3a122b33700a24

Observation 261fc9fe-99cd-42c1-8ec3-988d4281aac4 · inbound

TesserAct: Learning 4D Embodied World Models cites this paper.

TesserAct: Learning 4D Embodied World Models Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:56.542808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:56.542808Z digest=sha256:676d030e5a6a616176cd2df866957990cacc325b98bb9ffd16ab1a0191e81259

Observation e02a5c04-bbd2-44e5-b133-2628ce3964b5 · inbound

Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt cites this paper.

Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:26.746451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:51:26.746451Z digest=sha256:954de388232af213f7fbd215de7a0cca65949e8ce95eda2719b2a97093c45c71

Observation 669975e1-3c9b-4f9f-aebc-ad7f8e47dfad · inbound

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation cites this paper.

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:50:29.253724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T07:48:33.832017Z digest=sha256:4557eafab148d26c66376cf2fee2a50106c638b9a59bf20aa1d1f0d0bb2c9fa4

Observation 334ba018-0cee-46fd-9851-a627f3f841ff · inbound

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos cites this paper.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:28.433785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.433785Z digest=sha256:849b82423bbdc6d1a34d33b137f042cd7ed9656682537b36fbc9e088a4973280

Observation 696934a0-dcad-425d-89f4-23c0347c66ab · inbound

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:37:07.305473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T06:36:13.144868Z digest=sha256:7418cec88cba7a3257df611e2c2699ec05c6db77a2640a51c71f7e9cfb8a9b9b

Observation f79772b2-0054-4973-82f3-263257369076 · inbound

Geometry-aware 4D Video Generation for Robot Manipulation cites this paper.

Geometry-aware 4D Video Generation for Robot Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:14:27.884033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T00:12:39.787489Z digest=sha256:c0a10807f4b07f74329ca76b78bfffd0f696ef635e84d2a3296fce5603ec6754

Observation 982eec53-54ac-4390-9dbe-77f9028ebe5b · inbound

GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning cites this paper.

GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:16.479752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:16.479752Z digest=sha256:e2a7a09b7462fb63feb5a1fb04f369d9dcea43ad3aa05a673bb5c59423e008fb

Observation ec15c64e-e179-40d1-842e-775872f48e36 · inbound

Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation cites this paper.

Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T13:46:42.190907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:46:42.190907Z digest=sha256:3a380e6b25f2020609f3795f447e934e97c736c609bffb0868b67e971b031eb8

Observation caa28f53-b6f4-4a3e-a39f-a025a7b12aa7 · inbound

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs cites this paper.

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:41:00.342113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T10:41:00.142543Z digest=sha256:ab2bb5b2d217b1911f20f26d0ba24d78f24a4c20592ee841df29c65263e253ec

Observation 64bd6233-9932-4394-b58a-bce55cb9a266 · inbound

Large Video Planner Enables Generalizable Robot Control cites this paper.

Large Video Planner Enables Generalizable Robot Control Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:28:33.968348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T21:26:32.048309Z digest=sha256:5781e91c28730117fa4a18d5951d2a508a5505638e1774c576bee0f64c4415bf

Observation 6649c285-688d-4903-8454-803e12168c16 · inbound

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning cites this paper.

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T05:21:36.855439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:21:36.855439Z digest=sha256:df580155cb88b37816293e5d4fab181f7f42ac4fe0d8de7f5805f8e0d1daf101

Observation 2450f2a5-996f-4fc8-95f0-5f3313ae8295 · inbound

MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation cites this paper.

MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T02:45:07.166991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:45:07.166991Z digest=sha256:efe077f72015f150047131b801db2a48f9bff0d14474a9c2b0ff01b95dd64f26

Observation 9d3dcf4d-fad2-41f5-b0d4-a89fdda96f40 · inbound

PlayWorld: Learning Robot World Models from Autonomous Play cites this paper.

PlayWorld: Learning Robot World Models from Autonomous Play Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:05:54.587400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T14:05:32.112432Z digest=sha256:a03b97b8c989781a25e99b15235ad69e2a265c222afd93d0bbbc95fb9ac237a4

Observation 6f6344db-7ba2-4cde-87ca-055415a5aca3 · inbound

VistaBot: View-Robust Robot Manipulation via Spatiotemporal-Aware View Synthesis cites this paper.

VistaBot: View-Robust Robot Manipulation via Spatiotemporal-Aware View Synthesis Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:41:15.698372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T21:18:12.192842Z digest=sha256:4a3d021d5727cec18b437756149739844060ac59d371b65e2620557f07f7dd87

Observation a7d0a91d-4bc0-4118-a456-d83e8cd36f80 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:02:17.885588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:b790319f2e3c31e11e5440de7a4acda5a587b0405094eb8e651dd8f239635b0e

Observation a410089f-a6ac-4699-9217-18dee161c133 · inbound

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players cites this paper.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:53:29.072890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:1d79d5a73c460f64409cb61f937ebb1a99af6ba405bafcf12eb0d5d8b2abb912

Observation 1d208fd3-f883-41fd-866a-b7d63be24ec6 · inbound

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

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:56:47.496904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T06:33:03.192410Z digest=sha256:289f000db5fc4b37e2b0396bb9a1acb78085064bfb5ad9f60c9e1ee19b3e0455

Observation 642dda2d-4f0b-415b-8500-f0b9a00f36c6 · inbound

Next Forcing: Causal World Modeling with Multi-Chunk Prediction cites this paper.

Next Forcing: Causal World Modeling with Multi-Chunk Prediction Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:57:38.465704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T13:31:53.905704Z digest=sha256:8dfd3640bd3772222560db88c14ada81f3a23f1c55f474f17c6a9c472395dd72

Observation dfbb8428-6a15-45cc-95f8-6bce5700922e · inbound

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position cites this paper.

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:34:36.513994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T10:31:37.108792Z digest=sha256:d20a92d424eb18a2ceccbfbbb392bbb450a9d0022203fe0a6eea884cf0beed03

Observation 157e930f-ef18-40cb-b0a5-bb97c8a34d6f · inbound

ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning cites this paper.

ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:59:20.283368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T20:49:01.269513Z digest=sha256:e0ff1434c3b5d83e005dd3160b90fd7e187fdf104e5b898b7febf8698333f053

Observation 99f5512c-fe96-42b1-901b-e30795d594d7 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:35.446108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:034d5f63b1aedde28185884c1cd81c80818debf6e7b191f0719de14ef47e9bde

Observation d6719368-3924-4b30-9b62-086d573cc5f4 · inbound

Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data cites this paper.

Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.723733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T11:47:54.951618Z digest=sha256:c3b173e22465e02a1b87788e141a164b525b6719dde8c15de31937ec053918f4

Observation a8320374-7948-4fc0-adbd-e24c6de68087 · inbound

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation cites this paper.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-08T02:04:26.255255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:79da9144d8a919b875d69ea9bb754c37cda440cfb2e0ecc991279b7629681af9

Observation 88dc05cd-c5fc-4fa2-9d21-a6d5acb375d6 · inbound

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories cites this paper.

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T00:04:04.293371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:04:04.293371Z digest=sha256:7b53df94c162d79d2491db6c844efa4e160dab59db7510b056d3a07a1d84636b

Observation f8351085-71b3-4046-b884-51628f00edf5 · inbound

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration cites this paper.

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T20:30:42.818011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:30:42.818011Z digest=sha256:d7f1eca71545a51bea42e81f9d92ba4e0454bc3c971bbb93e3acbc422c1ca5d3

Observation 8093cdbc-cf45-48df-a281-fa92e6af386d · inbound

Distilling Physical Priors into Streaming World Models cites this paper.

Distilling Physical Priors into Streaming World Models Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T00:40:08.237283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:40:08.237283Z digest=sha256:3f899bce0792003e7b84bd79987854a048ed344d339bafb7ddb5639986a0a8e7