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Paper Citation Record · LEDGER

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 5 inbound Pith citation observations for arXiv:2506.18897.

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

pith.paper-citation-record.v1
2506.18897 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:45:55.473646Z

measured 48 of 48 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:45:15.955954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:58.510088Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18841916-a323-416b-899b-8a8e16a28913 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.301643Z digest=sha256:047fe9d37f98367d7d39d7fb1b15bbc2c174eda681cfcde54eb7bc9c6c3f0a15

Observation 6bd77f18-42c7-49c0-9182-9678cc85db81 · outbound

This paper cites write newline.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis write newline

Reference 2

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source=arxiv_source observed=2026-08-15T18:45:55.306146Z digest=sha256:d7a3607849086e89b5fe8f4f2bf237dc9d792d6697bc7e4fc6fe10d40a93572a

Observation 23116656-9a7f-452a-941e-205690e644d0 · outbound

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

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Cosmos World Foundation Model Platform for Physical AI

Reference 3

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source=arxiv_source observed=2026-08-15T18:45:55.310259Z digest=sha256:0f400a3bd124022d1aeb78be88493e0362fb0babc44da424789249ccf45a205e

Observation 3f89d1c1-71e6-468c-a399-d43a0b162ce6 · outbound

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

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 5

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source=arxiv_source observed=2026-08-15T18:45:55.318738Z digest=sha256:0c5801ef86b92a57a59a4d0f7cd77eba8ddfe0bbea42fc14f4f66a6a2f1fd97d

Observation 26eb7d70-7e5f-47a6-b2a1-61f84ad8fa3b · outbound

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

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 6

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source=arxiv_source observed=2026-08-15T18:45:55.322313Z digest=sha256:a7bd807300e0d22c81907bdff5983eedda7e5c160724c0674a943701afca22ec

Observation e053e888-9176-45b5-9130-dbbfb9cb04a1 · outbound

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

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 7

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source=arxiv_source observed=2026-08-15T18:45:55.326245Z digest=sha256:030f53dd6957bb546384e9fcf1da7e751803eccd9978196db95c9a78cbfa247a

Observation e09d2d84-bf36-4f7f-8acf-ad6f97a89a37 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 8

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source=arxiv_source observed=2026-08-15T18:45:55.330396Z digest=sha256:3c564aedb66ed7b068f73410766678a29e388080f20ba758e24fdfe322c12d62

Observation 15d8b21f-3cb1-4071-ac52-195e02129a30 · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 9

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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=arxiv_source observed=2026-08-15T18:45:55.334672Z digest=sha256:0a093e63d67a5f3ecab66469000e7ff86b1aed4ed53df1abb2c89d91de5db5e1

Observation ef2f14df-1de6-486a-bdee-ce1b59e6f739 · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 10

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

source=arxiv_source observed=2026-08-15T18:45:55.338336Z digest=sha256:669f141c6096e9391e8c5e42f4f763520257eea657b6b4105aea37f322c1a744

Observation 5afe546e-fc93-43f2-b117-9e0e4c1a43bf · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-15T18:45:55.341703Z digest=sha256:a33126cfff1c1f08c6727a8af8d0e284bd46fe8d3b5819fff51b0729c5df0814

Observation b9249c8a-dc41-45a3-8180-fced18409eb8 · outbound

This paper cites EVA: An Embodied World Model for Future Video Anticipation.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis EVA: An Embodied World Model for Future Video Anticipation

Reference 12

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source=arxiv_source observed=2026-08-15T18:45:55.345647Z digest=sha256:9b1bfc790e7ec5d7e62cbf64034f2dd1552ff5b3655004fb6d90b19e7062ea5b

Observation 56a435b4-f86a-4616-a49d-8488a455ad3b · outbound

This paper cites S.; Lynch, C.; Chowdhery, A.; Wahid, A.; Tompson, J.; Vuong, Q.; Yu, T.; Huang, W.; et al.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis S.; Lynch, C.; Chowdhery, A.; Wahid, A.; Tompson, J.; Vuong, Q.; Yu, T.; Huang, W.; et al

Reference 13

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source=arxiv_source observed=2026-08-15T18:45:55.349526Z digest=sha256:0ca5ccdbeeb7ca2116bf486676d157a728a5abaad0d66285e99726b26baf2b09

Observation ede531e3-5f22-4fd6-a452-7ab70610661a · outbound

This paper cites AdaWorld: Learning Adaptable World Models with Latent Actions.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 14

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source=arxiv_source observed=2026-08-15T18:45:55.353050Z digest=sha256:6c593cc2bc86aa95ec9faede2446d1d756b0943cc41ab49a11c1d681392cc7b0

Observation 8c315046-6da5-4f5f-845b-4ba0bc0729ee · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 15

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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=arxiv_source observed=2026-08-15T18:45:55.356971Z digest=sha256:9683b8e26dd9cd28eff950d4ffe35c54ba43e35460b6e2f0816dd7ce3592b6af

Observation 3dde06d4-d8a2-4c2c-a032-e5cc93d0c2d7 · outbound

This paper cites World Models.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis World Models

Reference 16

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source=arxiv_source observed=2026-08-15T18:45:55.360881Z digest=sha256:f8114dc25b8f652d7439d2da9d1001963d0e5127a31db1f5e8eceabe892995a1

Observation 9af1e405-a598-48ba-8d17-1a81c9aa22ee · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-15T18:45:55.364923Z digest=sha256:8a0d20ff2c91e6f25d82cc330aaf9517f256df65625ff72a2fb105f555c518a5

Observation 74ec6ea0-7e64-467b-a540-d7468759dd96 · outbound

This paper cites Classifier-Free Diffusion Guidance.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Classifier-Free Diffusion Guidance

Reference 18

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source=arxiv_source observed=2026-08-15T18:45:55.368807Z digest=sha256:40611ae3786a577eda48b2b248857b0fd547cf2dbc8e0d96b0f41e1a9a542908

Observation 7a52174e-1c81-4594-801e-beb6d3da24b6 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 20

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source=arxiv_source observed=2026-08-15T18:45:55.377365Z digest=sha256:62aa22bc47040a74e913cb49f40725e4f3e76c7a96d77a979938d47fe8038f3e

Observation c559b5fa-4ce4-4cb9-9172-ef2819c4b67a · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-15T18:45:55.381367Z digest=sha256:1d0715e48beccb5b67c801fa844c60be913e313a2eb709d0674eee6db35d5ec8

Observation 48c32ecf-e4ec-40dd-a591-1bc31e9ec635 · outbound

This paper cites R.; and Davison, A.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis R.; and Davison, A

Reference 22

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raw_fallback, observed 2026-08-15T18:45:55.961966Z

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=arxiv_source observed=2026-08-15T18:45:55.385939Z digest=sha256:244b97fb160bc2a76957cd68b91d400317539df9aff7105d6493001e47768fe2

Observation e7e97df5-868b-427f-88d2-e2c67b0947a6 · outbound

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

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis OpenVLA: An Open-Source Vision-Language-Action Model

Reference 23

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source=arxiv_source observed=2026-08-15T18:45:55.390258Z digest=sha256:515939ecb784dfc0dc8d06e3bdd71242e779d8d0bd41b3ea8940a5c29d2c9727

Observation 6abd5f0e-c08f-4a4f-9109-b8f4c304c854 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Adam: A Method for Stochastic Optimization

Reference 24

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source=arxiv_source observed=2026-08-15T18:45:55.394648Z digest=sha256:538323365aa1c34d0c074790c2cca09d8b2bae57f54115d803984e5ded68c435

Observation bb14bad3-be8f-4894-8336-c5730b4d384e · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 25

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source=arxiv_source observed=2026-08-15T18:45:55.398602Z digest=sha256:28be13640e414dae4baa4910b8eb8bc81bb0d1ce4fd7c5f1bdc7c9f6103b23cd

Observation 4aff523f-0557-4e6d-96c4-796dcac9254e · outbound

This paper cites Unified Video Action Model.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unified Video Action Model

Reference 26

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source=arxiv_source observed=2026-08-15T18:45:55.402487Z digest=sha256:bc892a83ac47d975fb337dec4720ffe4251b219e38200e2004201f821f80e54b

Observation 4115c3e2-3c0d-43b0-b730-79c18529c07a · outbound

This paper cites ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance

Reference 27

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source=arxiv_source observed=2026-08-15T18:45:55.406488Z digest=sha256:a40d353cc78d620ca40e940a253a0f2c6063362c26b68df44ac8e2045811db9f

Observation 8cb33cd1-6783-418e-94b0-af42ca5b371b · outbound

This paper cites HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model

Reference 28

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source=arxiv_source observed=2026-08-15T18:45:55.410351Z digest=sha256:4390fb27bfc39f312e7feb041bc2fac266339ecf297a134e6ef57872eb632d71

Observation 85ecf61c-1bc1-436a-8406-157fb4a96580 · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 29

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source=arxiv_source observed=2026-08-15T18:45:55.414374Z digest=sha256:ad10b52b115784dcb1bd5693a94c64681fe35afec8156535edb85a701c032c22

Observation abea9cda-8a85-4610-9306-8329c1d278d0 · outbound

This paper cites Decoupled Weight Decay Regularization.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Decoupled Weight Decay Regularization

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.418359Z digest=sha256:ea9535f3bd99194cd536e8358c8b880c29129cab5ae0733d3a4b508ec1a95229

Observation fee8a2ae-eea2-4df1-b4ba-23298920ae9e · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-15T18:45:55.950073Z

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=arxiv_source observed=2026-08-15T18:45:55.422166Z digest=sha256:efb83a5d110303e895b1edebc4b5f36cc634244ee536ffff6e5289065c35c1eb

Observation ce8f523e-1fc0-41c8-ab8f-bcd31c1ae759 · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.425955Z digest=sha256:4469b72fa6c49f77081affbdcd90865c498ee23ec7ae054fccf4715ce5d38cd0

Observation b2129d97-ea86-40f7-a66d-850e249f0795 · outbound

This paper cites Scalable Diffusion Models with Transformers.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Scalable Diffusion Models with Transformers

Reference 33

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source=arxiv_source observed=2026-08-15T18:45:55.429651Z digest=sha256:af62fa4ce1d1cf5d224a80011e169da340b7f72793cec94b87e73e6a4ca0a293

Observation a655775e-907e-44a8-be1c-3eb1d7c9327a · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 34

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source=arxiv_source observed=2026-08-15T18:45:55.433450Z digest=sha256:55e6551c1930c48a6b4bb6d6af6287e69ed544500dd092781dfe75354e35eac4

Observation 7c3ad094-46f6-4997-9f1a-218d6fb3fb49 · outbound

This paper cites RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 35

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source=arxiv_source observed=2026-08-15T18:45:55.437188Z digest=sha256:8d7873535d12e739a4875b1818e4c5ed2f18af9964e4204d1d27ca726f4d7fd1

Observation 8285b65c-cf7e-48a1-9eb6-a6be69101ef9 · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-15T18:45:55.440950Z digest=sha256:9de876d9548e75a93dbfe370c635962804b46e3302b9a5d941cf2d7687c7b34a

Observation dc22f269-d221-41f2-8262-b2d94b5bd716 · outbound

This paper cites Unified Vision-Language-Action Model.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unified Vision-Language-Action Model

Reference 37

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source=arxiv_source observed=2026-08-15T18:45:55.444526Z digest=sha256:19c9985a798177c5336d3f5fcff59445f81201be66ee326ce760b36e2ad060cf

Observation b274f91d-c6c7-4133-9189-4bb6f2ab7e81 · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-15T18:45:55.917651Z

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=arxiv_source observed=2026-08-15T18:45:55.448131Z digest=sha256:9dbdd89ae1eb884d4ea05dd9890e5e713beca08be145ca5f825185e84bc0365e

Observation 7f097bba-d7c0-4518-838b-d5ebcd56f0c6 · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 39

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unresolved
raw_fallback, observed 2026-08-15T18:45:55.905757Z

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=arxiv_source observed=2026-08-15T18:45:55.451636Z digest=sha256:b9432120dd923a14c640780278a063b3deb587614ce8505aae180886e2a21e17

Observation aacd52bb-e7eb-491f-9869-dc22170f9c5b · outbound

This paper cites RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:55.455225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.455225Z digest=sha256:25f2456df8ce1195abeaa0b31789f10fc9dee50fc8dbcf540a8496a783f9c9f3

Observation b9f74abd-81c2-4ae4-9792-e10634d1f17e · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:45:55.894875Z

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=arxiv_source observed=2026-08-15T18:45:55.458903Z digest=sha256:2c698d74a8ea8edc7bf22e58d4031d7bce96fb579b673d7737153a4156041270

Observation 1cfc9bdd-a0b4-4fe2-af3d-d3d8b5d56d98 · outbound

This paper cites DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:55.462314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.462314Z digest=sha256:d242f081e47775fae069c9567d51dbb8d2340be2df871445fa34c2dbf8a7e68c

Observation 42db13f1-3beb-47a0-b55d-960ef336500f · outbound

This paper cites Learning Interactive Real-World Simulators.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Learning Interactive Real-World Simulators

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:55.466080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.466080Z digest=sha256:2ee1f65dd6f913df205b9391943474e05cebb043b90ba92ddd74ac36cf8573e3

Observation 06c9bc8c-c609-4cab-b507-f58e794952de · outbound

This paper cites MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:55.469867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.469867Z digest=sha256:5becde3d8198de3018f8cecf550338745cd608b39ca1c59feebf55286fbb0725

Observation 18aa3b1c-4ca9-4fa9-b254-fb29d3ba368e · outbound

This paper cites an unresolved cited work.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:45:55.882531Z

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=arxiv_source observed=2026-08-15T18:45:55.473646Z digest=sha256:1f1117940eb5f984456dfa3d0e850dbcd8be191f88a8f001d051759f9ff5beac

Pith citing papers

Observation 76913b2c-78c8-41e4-bc13-fba9dadbcb8b · inbound

From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation cites this paper.

From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:12:18.207196Z

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=2026-05-13T04:44:03.661688Z digest=sha256:3129bd836ca2c5577f80b56e4f7da0a5353ccbf3d96577bb0bcb64c2b4c12bb7

Observation bd5e3e33-45ff-4e39-b65f-2f8872bcdb07 · inbound

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation cites this paper.

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:36:39.782798Z

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=2026-05-25T05:34:03.684055Z digest=sha256:845b9bd71c8a8d38f7f703e6b2636e38c0bbb56121bc4f23ec10eb656b73603e

Observation 6078689f-f026-4562-be67-b92a71fb4bec · inbound

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation cites this paper.

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:54:59.409546Z

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=2026-06-30T16:45:15.955954Z digest=sha256:4b8357127774907a36174305250aaf1d7f2269c7d16920ed1827748c48dfbdba

Observation 7067cd1f-5479-45f9-aa23-2785c7a6f5f4 · inbound

World Models for Robotic Manipulation: A Survey cites this paper.

World Models for Robotic Manipulation: A Survey MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:33:25.176728Z

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=2026-06-29T12:24:18.025364Z digest=sha256:bf14b1fa780bd812a9c1f098a95cf7569e5fe844de35d13fbfed72c857f7fe1b

Observation 1df4e23f-8ba4-411a-a050-432101c7834c · inbound

PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space cites this paper.

PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:58.511585Z

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=2026-06-27T00:57:58.312567Z digest=sha256:557d61464f3f599a9f4a1f9d5baa4b82493680b2db1d5fda4d4648f21f648873