Paper Citation Record · LEDGER

DREAM-Chunk: Reactive Action Chunking with Latent World Model

As of 5 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2606.18589.

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

pith.paper-citation-record.v1
2606.18589 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:25:03.953677Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:05:10.444718Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact21
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d001758b-fed8-4d0f-99e4-1fdfcd8fcebb · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Diffusion for world modeling: Visual details matter in atari

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6fd2625-caa6-4b33-82fd-f5ffd04810b8 · outbound

This paper cites Real-time whole-body control of legged robots with model-predictive path integral control.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Real-time whole-body control of legged robots with model-predictive path integral control

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

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Observation 0819e3c0-260b-417d-ab22-b98f7bc5284a · outbound

This paper cites VICReg: Variance-invariance-covariance regular- ization for self-supervised learning.

DREAM-Chunk: Reactive Action Chunking with Latent World Model VICReg: Variance-invariance-covariance regular- ization for self-supervised learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

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Observation d3785c51-3a6f-468e-a9dc-9f87835d5ae5 · outbound

This paper cites an unresolved cited work.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0467ab1d-892e-4d4c-a8e3-0d94cddeb482 · outbound

This paper cites Galliker, and Sergey Levine.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Galliker, and Sergey Levine

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

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Observation 40408e4e-c7c5-4015-b9ea-66eea64aa70a · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

DREAM-Chunk: Reactive Action Chunking with Latent World Model WorldVLA: Towards Autoregressive Action World Model

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.326659Z

Source-reported events for the cited work

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

Observation ddcdeb9c-5415-4375-817f-edd63eeb2e7d · outbound

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

DREAM-Chunk: Reactive Action Chunking with Latent World Model Diffusion policy: Visuomotor policy learning via action diffusion

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47bd1b0e-5731-4997-9069-6901bfed908d · outbound

This paper cites Panda Technical Data.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Panda Technical Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924ac51f-cf82-4d9c-a1fd-c004fc748ff3 · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Gemini Robotics: Bringing AI into the Physical World

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.331336Z

Source-reported events for the cited work

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

Observation 5c255904-1cde-4a96-aa3c-9ea6fc60e693 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Dream to Control: Learning Behaviors by Latent Imagination

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.326439Z

Source-reported events for the cited work

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

Observation 592f045a-be6b-489e-ae48-9314d0deba57 · outbound

This paper cites Mastering Diverse Domains through World Models.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Mastering Diverse Domains through World Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.356542Z

Source-reported events for the cited work

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

Observation b637ff8c-7b2e-4c7e-9d71-21944a2e5710 · outbound

This paper cites World Model for Robot Learning: A Comprehensive Survey.

DREAM-Chunk: Reactive Action Chunking with Latent World Model World Model for Robot Learning: A Comprehensive Survey

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.335136Z

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

Observation 7e239838-62fe-435b-82f2-3232d7c20151 · outbound

This paper cites an unresolved cited work.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

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Observation 0f0c550e-2578-4b29-b966-42ca9deba080 · outbound

This paper cites Modular safety guardrails are necessary for foundation-model-enabled robots in the real world.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Modular safety guardrails are necessary for foundation-model-enabled robots in the real world

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:15.355633Z

Source-reported events for the cited work

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

Observation de05bdad-da2e-432e-82d9-171bd6c9a5b6 · outbound

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

DREAM-Chunk: Reactive Action Chunking with Latent World Model OpenVLA: An Open-Source Vision-Language-Action Model

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.352916Z

Source-reported events for the cited work

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

Observation f9191966-ddb5-46eb-ba49-0ba830711892 · outbound

This paper cites RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models.

DREAM-Chunk: Reactive Action Chunking with Latent World Model RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:15.344625Z

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

Observation ff809c69-743e-438d-8bdc-bd7c0f4c6fd7 · outbound

This paper cites Dart: Noise injection for robust imitation learning.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Dart: Noise injection for robust imitation learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

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Observation c681ef25-b16e-4b45-a233-076211c2c757 · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.2, 2022-06-27.

DREAM-Chunk: Reactive Action Chunking with Latent World Model A path towards autonomous machine intelligence version 0.9.2, 2022-06-27

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

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Observation 95264f30-3769-43de-9fda-b1f98b9a9b95 · outbound

This paper cites Adaptive Action Chunking at Inference-time for Vision-Language-Action Models.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Adaptive Action Chunking at Inference-time for Vision-Language-Action Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.317823Z

Source-reported events for the cited work

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

Observation 04011a1b-c317-4f4f-adbd-e47c8a109ac7 · outbound

This paper cites Bidi- rectional decoding: Improving action chunking via guided test-time sampling.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Bidi- rectional decoding: Improving action chunking via guided test-time sampling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

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Observation 28e28769-4c33-4ef2-9134-7baf6fcd187d · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

DREAM-Chunk: Reactive Action Chunking with Latent World Model LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.299331Z

Source-reported events for the cited work

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

Observation 692f1d30-e827-4805-915d-2dca2e7bcd74 · outbound

This paper cites Kinetix: Investi- gating the training of general agents through open-ended physics-based control tasks.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Kinetix: Investi- gating the training of general agents through open-ended physics-based control tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 516bb699-f224-4774-bf84-983d7b16292a · outbound

This paper cites R2-Dreamer: Redundancy-reduced world models without decoders or augmentation.

DREAM-Chunk: Reactive Action Chunking with Latent World Model R2-Dreamer: Redundancy-reduced world models without decoders or augmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac6687c-114d-4ef3-bd33-5d66b3007625 · outbound

This paper cites arXiv preprint arXiv:2512.00903 (2025).

DREAM-Chunk: Reactive Action Chunking with Latent World Model arXiv preprint arXiv:2512.00903 (2025)

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:15.361567Z

Source-reported events for the cited work

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

Observation 13480245-599a-4f51-83d0-7720b7619bea · outbound

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

DREAM-Chunk: Reactive Action Chunking with Latent World Model Octo: An Open-Source Generalist Robot Policy

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.348799Z

Source-reported events for the cited work

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

Observation 7dfec25d-e303-43f2-98c5-a5ea69bb3b1c · outbound

This paper cites Much ado about noising: Dispelling the myths of gener- ative robotic control.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Much ado about noising: Dispelling the myths of gener- ative robotic control

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:15.285379Z

Source-reported events for the cited work

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

Observation 35bfae2a-b823-4dd5-ab25-efd34e16df1e · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

DREAM-Chunk: Reactive Action Chunking with Latent World Model FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.340088Z

Source-reported events for the cited work

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

Observation cbe60938-ec56-4f77-9b7a-16fae5328024 · outbound

This paper cites π 0.7: A steerable model with emergent capabilities.

DREAM-Chunk: Reactive Action Chunking with Latent World Model π 0.7: A steerable model with emergent capabilities

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

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Observation cc001f85-26ca-4f3d-babc-e429a95e99ee · outbound

This paper cites $\pi^{*}_{0.6}$: a VLA That Learns From Experience.

DREAM-Chunk: Reactive Action Chunking with Latent World Model $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.318034Z

Source-reported events for the cited work

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

Observation 6f4e345e-8e4b-4352-b27c-bb2ea64e0eab · outbound

This paper cites Testing of feetech sts3215 servomotor: Backlash, repeatability, and torque.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Testing of feetech sts3215 servomotor: Backlash, repeatability, and torque

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

Source-reported events for the cited work

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Observation fed7eb9b-bd86-4c44-8222-56d087a6530b · outbound

This paper cites Sendai, M.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Sendai, M

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:09:15.313218Z

Source-reported events for the cited work

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

Observation 664cfab5-0b73-4eab-befb-48c7274fe2c8 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

DREAM-Chunk: Reactive Action Chunking with Latent World Model SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.321536Z

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

Observation 6ce25f11-94cb-43cf-9e24-2c612981cf57 · outbound

This paper cites Improving generative behavior cloning via self-guidance and adaptive chunking.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Improving generative behavior cloning via self-guidance and adaptive chunking

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

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Observation 1d690fa8-64d1-4b16-8cc4-43b7f5c3c49f · outbound

This paper cites VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference.

DREAM-Chunk: Reactive Action Chunking with Latent World Model VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-28T02:22:25.227675Z

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

Observation 4e7960ba-2bb9-4f21-98f8-dfbff5d14b8f · outbound

This paper cites A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures.

DREAM-Chunk: Reactive Action Chunking with Latent World Model A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.330677Z

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

Observation 41b0bc13-cd81-4e9c-8519-82d281cb7887 · outbound

This paper cites From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment.

DREAM-Chunk: Reactive Action Chunking with Latent World Model From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:15.270179Z

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

Observation 6acb12df-8c18-44c6-9315-0768b83e711a · outbound

This paper cites arXiv preprint arXiv:2601.22153 (2026).

DREAM-Chunk: Reactive Action Chunking with Latent World Model arXiv preprint arXiv:2601.22153 (2026)

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:09:15.303961Z

Source-reported events for the cited work

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

Observation 21a5ec40-ca5f-4e4a-af4d-e2b7ae43803b · outbound

This paper cites Precise manipulation with efficient online RL.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Precise manipulation with efficient online RL

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

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Observation 7aa0a7ea-48c0-401c-b9ef-19762402e815 · outbound

This paper cites arXiv preprint arXiv:2603.17240 , year=.

DREAM-Chunk: Reactive Action Chunking with Latent World Model arXiv preprint arXiv:2603.17240 , year=

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:15.295529Z

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

Observation bbaf84c5-445c-4465-8228-9e476acedfa9 · outbound

This paper cites HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning.

DREAM-Chunk: Reactive Action Chunking with Latent World Model HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:15.322267Z

Source-reported events for the cited work

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

Observation a624b366-d6bd-4f74-ad3c-11003faddf7a · outbound

This paper cites Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn.

DREAM-Chunk: Reactive Action Chunking with Latent World Model Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

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Observation 6d71825d-20d8-46ce-89da-bf339c8a71b6 · outbound

This paper cites RT-2: Vision-language-action models transfer web knowledge to robotic control.

DREAM-Chunk: Reactive Action Chunking with Latent World Model RT-2: Vision-language-action models transfer web knowledge to robotic control

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-26T21:25:03.953677Z

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Pith citing papers

Observation 2102f56a-5761-4bf4-bd0e-069092b125f4 · inbound

Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control? cites this paper.

Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control? DREAM-Chunk: Reactive Action Chunking with Latent World Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T05:05:10.444718Z

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Unavailable: canonical work link unavailable.