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Paper Citation Record · LEDGER

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

As of 19 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 14 inbound Pith citation observations for arXiv:2507.05198.

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

pith.paper-citation-record.v1
2507.05198 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:35:42.968918Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:12:50.006253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.078658Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 098726db-6e13-431d-a5c2-5df035d2d692 · outbound

This paper cites Mujoco: A physics engine for model-based control.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Mujoco: A physics engine for model-based control

Reference 1

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raw_fallback, observed 2026-08-06T19:35:44.248052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.666692Z digest=sha256:4aa4685de3cbc22f206c166a1bfeefdb6f710a42b545044679e45866336257bc

Observation d8463b4e-b81e-4e9a-87da-d6fc0e7787da · outbound

This paper cites an unresolved cited work.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.672352Z digest=sha256:eb955f4b08c1b889449556ff45f27c55423f36c7c5f010678f34b1429073ec91

Observation c360eb17-1fa2-4e5c-86df-68987cfafd26 · outbound

This paper cites Chang, Leonidas J.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Chang, Leonidas J

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.219475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.677481Z digest=sha256:1820553986a09cad6ebf0b8808038e117de9d74c30548e30ad9479b026dcfb15

Observation 42128159-58c9-4a10-9c52-fc0fa2d0f93a · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 4

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no resolver link, observed 2026-08-06T19:35:42.682043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.682043Z digest=sha256:86b39d14983d6c07395f44fdbd6faabef622d2cc5ce6fec171c5aeefe0e05506

Observation 697cb242-b79b-4161-95d0-62822ed85429 · outbound

This paper cites Genesis: A universal and generative physics engine for robotics and beyond, December 2024.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Genesis: A universal and generative physics engine for robotics and beyond, December 2024

Reference 5

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raw_fallback, observed 2026-08-06T19:35:44.205364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.686655Z digest=sha256:3cb07eceba6f5b8d5c8e859568628e311c098f099fc475b6d15acf5dd67e3bd1

Observation 94e699ea-cd33-4672-98b3-d8e64f518121 · outbound

This paper cites Vlabench: A large-scale benchmark for language-conditioned robotics manipulation with long-horizon reasoning tasks, 2024.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Vlabench: A large-scale benchmark for language-conditioned robotics manipulation with long-horizon reasoning tasks, 2024

Reference 6

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raw_fallback, observed 2026-08-06T19:35:44.189854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.691003Z digest=sha256:4c6a735445417780521544fc806b15da02a03a63a72b2cadc958e50761a364e4

Observation 8ef06b7f-eaba-4815-b096-6c8df9d86424 · outbound

This paper cites Roboverse: Towards a unified platform, dataset and benchmark for scalable and generalizable robot learning, April 2025.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Roboverse: Towards a unified platform, dataset and benchmark for scalable and generalizable robot learning, April 2025

Reference 7

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raw_fallback, observed 2026-08-06T19:35:44.173800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.696193Z digest=sha256:e9946fed2af7ed353c230fa0eea5b5229537003b8fc1fc05af187587bf40ebe4

Observation 4f65bc6c-fb52-4743-9e75-885746db8ede · outbound

This paper cites RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.700390Z digest=sha256:b19b55aa96f70049e8be31f014f6993527158ef55a8cef0101f9d09be8aea77f

Observation b07aae5d-e43a-4346-91a9-131295e66646 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 9

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no resolver link, observed 2026-08-06T19:35:42.705635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.705635Z digest=sha256:b74c74ca7eb5398d95fe51b397a9bf09360b798d338ddf4c84e1cc60a9764bc6

Observation 21370bd5-8610-494a-9a4f-dfbdb532e257 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 10

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source=pdf_text observed=2026-08-06T19:35:42.711111Z digest=sha256:594fcace9aa8c160846da2edc0ce37fe39fcd64dcfb763e926d9ae34e3f39662

Observation c7dc4424-519f-47e8-87d5-2305771dbc6f · outbound

This paper cites HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation

Reference 11

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no resolver link, observed 2026-08-06T19:35:42.716067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.716067Z digest=sha256:8c6dfd27a5db79f8c7f6f7f58b8bc22d07518e79410eb161a180751778a1ec27

Observation 30086f37-76ba-4951-82d3-8fa6b30516ce · outbound

This paper cites Humandreamer-x: Photorealistic single-image human avatars reconstruction via gaussian restoration.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Humandreamer-x: Photorealistic single-image human avatars reconstruction via gaussian restoration

Reference 12

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no resolver link, observed 2026-08-06T19:35:42.720856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.720856Z digest=sha256:53ebffc06db9c42e7817c42b2a87fa97c5e1be47cf9eaa0e99ce6bef7f171719

Observation f36a22bb-295f-420b-b386-4209928b6343 · outbound

This paper cites Rebot: Scaling robot learning with real-to-sim-to-real robotic video synthesis, 2025.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Rebot: Scaling robot learning with real-to-sim-to-real robotic video synthesis, 2025

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.158640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.725173Z digest=sha256:4b275833d5a1affce37922e20079cf2c92918465a3357ef4c8af7ac9460c722d

Observation 8814bd0b-3793-48cb-960f-b6261a79b68a · outbound

This paper cites RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.729988Z digest=sha256:dec535ffefa0d0fc59e426a49b388f4280715cc89238e011794bfe78872cd770

Observation 6974edb0-c1a7-4457-8aa6-8e574cd5d707 · outbound

This paper cites Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty

Reference 15

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local_arxiv, observed 2026-08-06T19:35:43.646679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.734438Z digest=sha256:47652f6bf91b77bac07f927e3d85e5ad4ddc0a1268164e7022857517443daa36

Observation ea8265ef-bf2d-40e9-a068-fde322850d81 · outbound

This paper cites Dexterous hand manipulation via efficient imitation-bootstrapped online reinforcement learning.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Dexterous hand manipulation via efficient imitation-bootstrapped online reinforcement learning

Reference 16

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source=pdf_text observed=2026-08-06T19:35:42.738843Z digest=sha256:b50ec89d7ceebc2ab1f850b4c3247a38994c7013e18a116f278b27595bb13d48

Observation c4e526d2-775a-4c95-9f1b-b20b29253777 · outbound

This paper cites A survey of imitation learning: Algorithms, recent developments, and challenges.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling A survey of imitation learning: Algorithms, recent developments, and challenges

Reference 17

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raw_fallback, observed 2026-08-06T19:35:44.144311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.742941Z digest=sha256:31b28932dbb1b2d5a38d316580fedf34c3c5a71ee47a229837fd38b693e7095f

Observation 2ff71508-b003-46eb-aada-152922a1d90b · outbound

This paper cites Deep reinforcement learning for robotics: A survey of real-world successes.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Deep reinforcement learning for robotics: A survey of real-world successes

Reference 18

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raw_fallback, observed 2026-08-06T19:35:44.128691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.747063Z digest=sha256:6e14c1c7d91b0e29271a25385eeb93c9fde4e478eff7b0edc6b38e307fe226bf

Observation da968e74-2d7c-4adb-8318-c8c0bb92f731 · outbound

This paper cites Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.751656Z digest=sha256:a98b7f30ec91e1f5fbbc5d674e7c77da695e081d15a6f73af67d504d72903675

Observation 95afc9ed-12f0-47c2-bebf-a76652c4f769 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 20

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source=pdf_text observed=2026-08-06T19:35:42.756539Z digest=sha256:245ddb36e60757cf2aabab1d827b9d4d7d2013543873253025f0ff1d94cd49b1

Observation 36d144d5-b722-41b0-86b4-8001a1814a45 · outbound

This paper cites an unresolved cited work.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.761341Z digest=sha256:3264ae6c5ba806bad57eb284ed1224cabf0363c8d7a2795c1909db701379f817

Observation 81c35e69-70a1-43f8-bf35-b286251e064f · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Octo: An Open-Source Generalist Robot Policy

Reference 22

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source=pdf_text observed=2026-08-06T19:35:42.766279Z digest=sha256:662a301a577837ab2acdba2f652ce115226280c0700d20326bd482db93b44fac

Observation 3e9ba480-af55-47e2-9148-691cb2a1d917 · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Motion planning diffusion: Learning and planning of robot motions with diffusion models

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.770785Z digest=sha256:d9a14799f7cfd0b9bbe804da814b950927507f4db044496777d22af016adcde1

Observation 7746ea33-acd1-4a15-a2a7-6da70c2d1912 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.774921Z digest=sha256:a282bb67b8f30badfb72810f317eb42f4f16712f2926f4ae462b4a9e0d186ba0

Observation bfd8dd80-bb77-4a35-9171-2da480673289 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Direct preference optimization: Your language model is secretly a reward model

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.088845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.779505Z digest=sha256:e06e8539db517ca47ed96783c62a9c45e95b01428c5cf5378446cb3fdc5d4fa4

Observation 59d9ddc2-f3db-4432-b363-6e6c16d99cd5 · outbound

This paper cites Grape: Generalizing robot policy via preference alignment, 2024.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Grape: Generalizing robot policy via preference alignment, 2024

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.074254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.784014Z digest=sha256:393d21cdb9984773a4f9fb58134dfb102990492995745509d25cf26460d8feeb

Observation ceb6e2f1-3eec-40f8-95ee-3e60b50d3aae · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.792778Z digest=sha256:73a518e6da02677e5048c4e5061d7a30b428fa69d36d72b5224da9f901986731

Observation 6bd11997-e82f-473e-9b39-48813ca2319c · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Diffusion policy: Visuomotor policy learning via action diffusion

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.060490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.798079Z digest=sha256:54b609dff755e4edaeecc936f42f7d5015997636b5299475861c9abd927693e1

Observation 5589af18-c6e5-4a64-9491-40d1ccb17c52 · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 30

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source=pdf_text observed=2026-08-06T19:35:42.802151Z digest=sha256:296fdd67a529b883045a2761b03b4db6892c60f07329b4747648f0dbef10ae75

Observation 5143a481-d546-4c3b-a849-b7c443a5af87 · outbound

This paper cites Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.806435Z digest=sha256:824da1346cedbb1c64df5c609c9c3718c3f9cd8d3971cd5fecba712b2a522dd4

Observation cf352e00-b1e8-429d-891d-7cd44256d5cb · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling OpenVLA: An Open-Source Vision-Language-Action Model

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.810971Z digest=sha256:25ec0b8eb01f0de6b1ec01925d6b861aa9ec6c8c2eb1160de74e38a36afed8e9

Observation 19181159-4aa2-48ca-9da0-4d571ee65523 · outbound

This paper cites Octo: An open-source generalist robot policy.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Octo: An open-source generalist robot policy

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.046347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.816448Z digest=sha256:2a2428472d60d08a0b076c65560d11c043edee685a6e72b28282c8734ce0323f

Observation d8f3143b-7cba-437b-b1d5-0457c05f1582 · outbound

This paper cites Dexgraspvla: A vision-language-action framework towards general dexterous grasping.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Dexgraspvla: A vision-language-action framework towards general dexterous grasping

Reference 34

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no resolver link, observed 2026-08-06T19:35:42.820783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.820783Z digest=sha256:393b681fe0ac28d476b098baaf85fa08aab7b31648983e0f13f4dad1355a3b0e

Observation db5ccb79-794e-4365-aa29-2631ca33dddc · outbound

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

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Reference 35

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source=pdf_text observed=2026-08-06T19:35:42.825309Z digest=sha256:3451a35bcbeeb8ee46f7be74691d908b2ac5910a2d39b8b8d42b8669f27d138c

Observation 0ca191fb-bf4c-493a-82a1-6fdaef15ce93 · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Bridgedata v2: A dataset for robot learning at scale

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.032404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.829718Z digest=sha256:ee63714428cb37fc728e0fc750f031392b130b895e49db916ab394f089beb00b

Observation 293099c1-85de-4ac2-8554-9ee4182845a0 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling RT-1: Robotics Transformer for Real-World Control at Scale

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.833924Z digest=sha256:cc6649b2e9868d983c57af7c6bdabb6eb880afa336257b08d4408d7dc95f64fc

Observation a35adf55-72c9-4f12-b890-8a660a5e2ddb · outbound

This paper cites MagicDrive: Street view generation with diverse 3d geometry control.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling MagicDrive: Street view generation with diverse 3d geometry control

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.018742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.838499Z digest=sha256:534cdbb30647992804dfc9704d4e0e8cbd87ab9a0098f58312600ec2fd11c368

Observation 98954f10-8e05-493d-a750-0c617e4f74e3 · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:35:42.842936Z digest=sha256:0c2b8f5c9f8d3adaae6ef29c8a9ab70eb1fd3f153a3ef4c233df915d8f0786f4

Observation d07a90e7-d50c-4e12-aa4a-6cac09631bd7 · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Reference 40

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no resolver link, observed 2026-08-06T19:35:42.847397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.847397Z digest=sha256:78818e2182bbc78a4c91c31133ccaa27fe78fdcc3d2a97a7fc3192164f9d92f6

Observation 40282bf9-35ce-43b2-9c0e-a06ccd039163 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling GAIA-1: A Generative World Model for Autonomous Driving

Reference 41

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no resolver link, observed 2026-08-06T19:35:42.851719Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:35:42.851719Z digest=sha256:02603f405eef43dd88f5831a91931015e8220a4959b5b43c6812d8bbc51aef59

Observation 89e8924d-15e9-436e-bb08-0646223bf63a · outbound

This paper cites DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 42

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no resolver link, observed 2026-08-06T19:35:42.856117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.856117Z digest=sha256:54a4dba1c2fa28b797238b584c21f1e5d4a754c29b6572e3ef8658240af0dfa3

Observation 8b070ab7-1533-449b-9c4f-d61013a86e64 · outbound

This paper cites Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Reference 43

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no resolver link, observed 2026-08-06T19:35:42.860692Z

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source=pdf_text observed=2026-08-06T19:35:42.860692Z digest=sha256:a0c04eaf243babe99a576d7ab544bf17c034b193fdd22ed66abea3fb3510acf5

Observation 34993e37-2244-41ce-9e54-f8cd10c43b6f · outbound

This paper cites ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration

Reference 44

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no resolver link, observed 2026-08-06T19:35:42.865057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.865057Z digest=sha256:c58c38a2c92176f41e2db8fb8f867328f3e056246a15b1ccc62f38de0f5e81d3

Observation a1899858-6541-4f09-8e7a-b8cde0827f80 · outbound

This paper cites Tenenbaum.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Tenenbaum

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:44.004575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.869235Z digest=sha256:53643fb24abb463baae2a5ccbf467bd8f5a013caa6ea6c3569ad5a1f4c24c907

Observation 1f81d148-51de-44df-a8f7-93527cdde5f6 · outbound

This paper cites Learning universal policies via text-guided video generation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Learning universal policies via text-guided video generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.991423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.873294Z digest=sha256:fb138e7db917c1ee74b880d191da88b6f2e42b6d6b1ed57816ea0ad97ce56d79

Observation fda94f0e-0509-4668-a91f-cead4d7d781d · outbound

This paper cites Robo- Dreamer: Learning compositional world models for robot imagination.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Robo- Dreamer: Learning compositional world models for robot imagination

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.978233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.877554Z digest=sha256:c67a52e2fdb70eba41bddc392093b10d564329f381450c3970f09e733bf17be6

Observation 18aae5c7-512a-4c9c-bf53-4c7a1525a268 · outbound

This paper cites Manipdreamer: Boosting robotic manipulation world model with action tree and visual guidance, 2025.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Manipdreamer: Boosting robotic manipulation world model with action tree and visual guidance, 2025

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.965041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.881728Z digest=sha256:93a7f88d2c1ce77d7f8654852c0700554f70be7ab1eafbd3ba6d915ed4080188

Observation fc385837-49b4-46d5-9f2f-fb093851b21d · outbound

This paper cites Robotransfer: Geometry-consistent video diffusion for robotic visual policy transfer, 2025.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Robotransfer: Geometry-consistent video diffusion for robotic visual policy transfer, 2025

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.952139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.885625Z digest=sha256:59f9ced73491254fc3071e6f81fc575205f8de0c67f30fe6a4e2d4ac97e6f01c

Observation 041e9fcb-fba5-43d5-b6d5-fcd1d8d9f40f · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling 3d gaussian splatting for real-time radiance field rendering

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.938280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.889897Z digest=sha256:214769f5f78444c81910f5850c00d28ad41ef026354dcf2c0088a656c7827329

Observation f3d0fc98-6659-430c-8f29-bd95727c90ff · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.924834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.894209Z digest=sha256:989018bc8548a032797d253d8b24fa45219b167e2f7d9de7b1a7009529c3c9d9

Observation c472844c-9e8b-4b87-8017-a48ffd7e7373 · outbound

This paper cites ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

Reference 52

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no resolver link, observed 2026-08-06T19:35:42.898356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.898356Z digest=sha256:c3d277e88a80f03fc61df5b93709197f25f2574c0293070dc195abd3ca12876a

Observation 5b83f48f-b6d7-4fb2-beee-737d0c30f39b · outbound

This paper cites WonderTurbo: Generating Interactive 3D World in 0.72 Seconds.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling WonderTurbo: Generating Interactive 3D World in 0.72 Seconds

Reference 53

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no resolver link, observed 2026-08-06T19:35:42.902731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.902731Z digest=sha256:d51355ad4346dcbf65d8dfede70303b7c3ea6c682e295ca3ebf90c019c8619b2

Observation 40fca385-08e7-44cf-b58d-9de559b4dfec · outbound

This paper cites Gs-gvins: A tightly-integrated gnss-visual-inertial navigation system augmented by 3d gaussian splatting.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Gs-gvins: A tightly-integrated gnss-visual-inertial navigation system augmented by 3d gaussian splatting

Reference 54

Resolution
verified exact
raw_fallback, observed 2026-08-06T19:35:43.184871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.906962Z digest=sha256:7afdea893c468c0e25f0bc4e900a266b21e9f5792de2ba37aea14dca525d3972

Observation dec2ad23-f266-4d8d-8d10-b07e72b15cc0 · outbound

This paper cites Foundation model-guided gaussian splatting for 4d reconstruction of deformable tissues.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Foundation model-guided gaussian splatting for 4d reconstruction of deformable tissues

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.910979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.911585Z digest=sha256:e9be89fce527e7f74688084c9b3e956f81d02947151c6f227d735a7720186206

Observation 1e037240-2fb2-4f25-bd98-11f61df9b5ce · outbound

This paper cites OG-Mapping: Octree-based Structured 3D Gaussians for Online Dense Mapping.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling OG-Mapping: Octree-based Structured 3D Gaussians for Online Dense Mapping

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:35:43.088827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.916796Z digest=sha256:2f97af925a102f3144e9e5e6afffe449053c5c539ba86c34b089e589c5dcf6ed

Observation 62801925-e87d-4334-a739-12bffdf7bfe6 · outbound

This paper cites Robo-gs: A physics consistent spatial-temporal model for robotic arm with hybrid representation, 2024.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Robo-gs: A physics consistent spatial-temporal model for robotic arm with hybrid representation, 2024

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.893845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.921347Z digest=sha256:1ed401469a3546303b1ad8ada9110bf6cfcda3bfecf14f44cce4106d5418caba

Observation 9bf81778-4e5b-44e3-bdaa-8b391c5c5a33 · outbound

This paper cites Splatsim: Zero-shot sim2real transfer of rgb manipulation policies using gaussian splatting, 2024.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Splatsim: Zero-shot sim2real transfer of rgb manipulation policies using gaussian splatting, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.878855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.925562Z digest=sha256:963197e4d13d0448e9e2193a51c562428b99fbc29e0d2091b47ba1102bf359c7

Observation 620aa864-36e0-4829-a31b-e94a53eeeb43 · outbound

This paper cites Auto-encoding variational bayes, 2022.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Auto-encoding variational bayes, 2022

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.864937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.930024Z digest=sha256:b529e55808003bd2325b4f9b2d20a62cd85f9bd62385fc10961187140f91b41a

Observation ff4f474a-5529-4b4e-bb11-b119fcb79127 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 60

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no resolver link, observed 2026-08-06T19:35:42.934024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.934024Z digest=sha256:46b158c4c8cd52c28fe0574aed0f25f7272a78d0d394879bbb34288985e8da3a

Observation 93b4a1c9-75a3-4237-9535-eb433e02f5be · outbound

This paper cites Sam 2: Segment anything in images and videos, 2024.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Sam 2: Segment anything in images and videos, 2024

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.851085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.938549Z digest=sha256:23f466a1af30554572f6598f22dc014626a1dfae2fead9437e445621a84c0346

Observation 09853652-94ee-43e9-a44f-aa7ffa38ee82 · outbound

This paper cites Zhao, and Chelsea Finn.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Zhao, and Chelsea Finn

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.836335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.942756Z digest=sha256:73ef7246f5df8d81d00de6443988451f9aa9839091330ff2f3e891c44589ccc1

Observation 590314a8-0f47-4ad8-b4c1-9dafd385be00 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 63

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unresolved
no resolver link, observed 2026-08-06T19:35:42.946845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.946845Z digest=sha256:6804d195a921e1e3bcfacd61906fb804fb23437f84a33fd18a07b4cb731e8fe4

Observation f672c739-1296-4150-b4c8-95fd97f55b31 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:43.822218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:42.951404Z digest=sha256:a01a23189af10a1288756eeab727aaae9cc8bff9d1b1ec0ad176e081c48912ed

Observation 5b272fff-7e4f-4dd3-85dc-606ae1619856 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 65

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no resolver link, observed 2026-08-06T19:35:42.955491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.955491Z digest=sha256:7b3ccdb6b856ce376da78036520e2a244778f11d7e70735dab31f91aa48b3ad3

Observation b2fb5870-10f2-46c5-910c-59562c7b9730 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Gemini: A Family of Highly Capable Multimodal Models

Reference 66

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unresolved
no resolver link, observed 2026-08-06T19:35:42.959737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.959737Z digest=sha256:6effc449a01cadf8c2d4abb037d4858fcf124e1c60a16f0b6a940cda41619062

Observation e7369b07-730c-4fed-bd80-a9798b47ccb7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Proximal Policy Optimization Algorithms

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T19:35:42.964716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.964716Z digest=sha256:e073348dc642da230e6945377d799577150aac574fb7d33ed64ade0df902d196

Observation 439b5488-ab46-4e0c-b282-650616969cde · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 68

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unresolved
no resolver link, observed 2026-08-06T19:35:42.968918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.968918Z digest=sha256:f99eb2dfa11fcc699a5a7ea075d8e3ef2c228a6ac50750891d32c01a312afa03

Pith citing papers

Observation 541c1c1c-e496-4bf3-bda1-44e4f5b43dd4 · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 173

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unresolved
no resolver link, observed 2026-08-04T09:12:50.006253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:50.006253Z digest=sha256:361d7049deb279eb90ded407104743caa263d584a9b4d8d9a0e84cb14ba0e0ff

Observation 2187ae65-e2d5-42ce-89bb-c633f169d591 · inbound

ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video cites this paper.

ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:57.773209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:57:29.556084Z digest=sha256:6ca62f83b01bd2139f33467b57df8058945ac91d2b41f0b8990fab99fde96981

Observation de8564c5-48f9-4c45-82e3-681a40dbc7ed · inbound

From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs cites this paper.

From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:26:07.345178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T17:01:38.481471Z digest=sha256:4f1804b23211ce7a353a5fd59813966f62b0927fc819c8c1dfcb90cd3b7a8d5b

Observation ef2effbc-9c74-477a-81f5-1a0fdcc2fb09 · inbound

Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation cites this paper.

Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:38.654967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T18:21:00.089755Z digest=sha256:5ed483d67c4375ddd16b6ac8aa3f528e9b837056e18278aaf1456a4ed8c6b263

Observation 60d900e6-d13e-4498-8359-08af05fc051f · inbound

ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation cites this paper.

ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:23:16.889325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T12:21:16.284834Z digest=sha256:335bd3478623e5c2f888342465667c1afe765304e71d1f2de79dae6c0b2a3f81

Observation de27c021-3d47-4fc5-a8af-56996e047218 · 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 EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 149

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:06:13.934649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T17:29:18.513507Z digest=sha256:1a0635b05ccd7422f02cca511029d75af4021d59a625b76048910b70d7b52d52

Observation 3922ceb8-1c98-473a-b980-aa8c1725d3aa · inbound

Experiment-free disruption prediction for new devices enabled by synthetic diagnostic data augmentation cites this paper.

Experiment-free disruption prediction for new devices enabled by synthetic diagnostic data augmentation EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:37:27.576139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T18:06:19.549503Z digest=sha256:c796a16d46272ea3fe68f65a6757eec714846a7698a993c4a77983e8826aaed9

Observation 4b5d98c7-0be7-4b3b-84da-89db8cd0b29e · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:53.632400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T11:26:48.626947Z digest=sha256:d9b622f9898ff7106bdad91e88b753112e8eee88fd351ce7d21ca43844532210

Observation c4be8c0c-bfc2-4a78-9c1b-2b2aae0db6f3 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:38:55.080206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T20:35:21.512564Z digest=sha256:cd38860e5c1da16cee10a94736afe66ef0217b1f7f5c3f6cd902e826d65ca0b4

Observation 4e11d6e7-5ee3-4963-b066-ede532dcf2dc · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-12T09:15:00.615740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:15:00.615740Z digest=sha256:e5e1a296bdea9781933d46c1a1cc32e25aeb99d12af45fde7f1bea796f713532

Observation f43a599b-ed6d-4b06-84c6-328b0a2b9d74 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T09:18:02.402545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:18:02.402545Z digest=sha256:9b134df31a52399d9a7867ec9425d02e9472a5c2f504b780aac07e0342796114

Observation 3fd74cc9-7f09-4976-b287-7256954a0c5b · inbound

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation cites this paper.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 114

Resolution
unresolved
no resolver link, observed 2026-07-12T08:04:48.963890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:d963e172ef38a96bc36c736df9a7085e998fe107bc88012ba1607a0b1bd6f49b

Observation c32bebfd-18a8-4124-8c1b-754ef66c6037 · inbound

HALO-WA: Hybrid-Attention Latent-Guided Online Reinforcement Learning for World-Action Models cites this paper.

HALO-WA: Hybrid-Attention Latent-Guided Online Reinforcement Learning for World-Action Models EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-11T20:32:22.412216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:32:22.412216Z digest=sha256:da1057815c96a3567b1176cda39f785a5e772301a11b8c9a32e13b860b4fea04

Observation 5b1d2416-3b42-4457-8444-9e3082bb482e · inbound

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch cites this paper.

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T03:16:53.063727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:16:53.063727Z digest=sha256:f51c3df5cb13e107adc35a888e9d9550e74eb904e4cb8671aaf6501102d9e398