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Paper Citation Record · LEDGER

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.01381.

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

pith.paper-citation-record.v1
2608.01381 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:19:56.817191Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 840f43d8-8e9f-4ad3-8e61-18929ae1ee6d · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 1

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source=arxiv_source observed=2026-08-06T00:19:52.527823Z digest=sha256:297733d20d510784ef1e8f4a6450453bff7faabf26c49307d38eea82033e25eb

Observation cdd33ff6-c8ea-4168-886d-ee690e974522 · outbound

This paper cites International Conference on Learning Representations , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation International Conference on Learning Representations , volume=

Reference 2

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raw_fallback, observed 2026-08-06T00:19:58.738980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:52.613260Z digest=sha256:5db708e34acdac782318e60a3211697280cd8823af86c02acc4d5207238382ad

Observation 48dc0d71-ea0b-43c6-a9bf-178b8d09f35f · outbound

This paper cites an unresolved cited work.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-06T00:19:52.684495Z digest=sha256:8cb05dae076c2c82f80eba6e750ecd9c69794a081e841109021528905207447d

Observation cfc57cfd-eaa5-48e6-ab95-85bf78035d9c · outbound

This paper cites an unresolved cited work.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-06T00:19:52.800872Z digest=sha256:747bad44077ae287ef26ec5c5e2c135b138336d4da8b78380dafbd2364d58055

Observation 111312bc-d9e1-401a-8866-8bb153673d54 · outbound

This paper cites arXiv preprint arXiv:2603.03596 , year=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation arXiv preprint arXiv:2603.03596 , year=

Reference 5

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source=arxiv_source observed=2026-08-06T00:19:52.917606Z digest=sha256:fbc890b7e0a084ab3925c0169fa86b7abffde98402474229f67de16b098cb386

Observation 28a3695c-c2de-448f-97a6-88b625120422 · outbound

This paper cites an unresolved cited work.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-06T00:19:53.027625Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:53.027625Z digest=sha256:75c4eaacc2b581bc9e9cea1b9296c81969b21f8aeaed712fd67ea75a2c7253e8

Observation 1b614b6e-8398-4492-a0c6-f8f105ce04e3 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 7

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source=arxiv_source observed=2026-08-06T00:19:53.168462Z digest=sha256:a3885226a240f1851762baf65a423ceafa27dd20b3cf31788c3069159fd5d634

Observation 498622f8-22bf-45ab-bab3-24336b6d9913 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 8

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source=arxiv_source observed=2026-08-06T00:19:53.310380Z digest=sha256:628fca4e8080d66e93d9e94299cd16c0b92c231a8cd0acebeadf6be004899cd9

Observation 2fc40d64-e0e1-42b9-9b81-e597a6027fef · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 9

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source=arxiv_source observed=2026-08-06T00:19:53.432686Z digest=sha256:62e95c8624072ae0772555f26d8daccaf7b1b49c52f0e4190f9508ceb9003455

Observation 2a32689d-5d66-4d8f-bc5d-23e956879484 · outbound

This paper cites International Conference on Learning Representations , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation International Conference on Learning Representations , volume=

Reference 10

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raw_fallback, observed 2026-08-06T00:19:58.593432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:53.534852Z digest=sha256:b25b964843649d9689a14d244a54698be0d85c5bd03c07f1c8a286132d14c9a7

Observation b884288b-1508-4b29-9ccf-28b8fd6f6358 · outbound

This paper cites IEEE Robotics and Automation Letters , year=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation IEEE Robotics and Automation Letters , year=

Reference 11

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raw_fallback, observed 2026-08-06T00:19:58.465806Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:53.684980Z digest=sha256:beb7db28335a114b46e2044589b67406f2a51d8cfb23e53cc35a8f1625ff0f07

Observation 6ab2b4b1-b3b8-44b0-b36b-e9cbe6eda43c · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 12

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source=arxiv_source observed=2026-08-06T00:19:53.892975Z digest=sha256:34d741f50fbe9789cd0374bda6d0e11618a8a6e129f0439749668114c56641db

Observation aa312817-5d58-4722-87dc-bc97dba6be31 · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 13

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source=arxiv_source observed=2026-08-06T00:19:54.034020Z digest=sha256:c4d1b1f4a80902db91d5d19d1bdaace897bf1f1f6b503d5475e69f0b2abd680e

Observation 1e142596-37d5-4f89-b4a6-9c7ff37449d5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Advances in Neural Information Processing Systems , volume=

Reference 14

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source=arxiv_source observed=2026-08-06T00:19:54.159623Z digest=sha256:bf32334d40f13141cc5a24ae92fca9ad08d8d22089fdd115afec5891b6cab9b3

Observation 20c1f324-662d-4144-a3f9-6e4e1580ac09 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation WorldVLA: Towards Autoregressive Action World Model

Reference 15

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source=arxiv_source observed=2026-08-06T00:19:54.268006Z digest=sha256:0d00f7ad68ed17f54b619756f98f97113ea3ca96bfaefdf1cb71d70bd7522aa4

Observation 7a267c8a-8dde-47a8-a452-900de9b7b558 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 16

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source=arxiv_source observed=2026-08-06T00:19:54.374007Z digest=sha256:06a3142180f7b4ed4433ffb00505f78978b99f77349f60e8e63ed75810fc1224

Observation e360f373-475a-4639-a315-d4ecbc0190bc · outbound

This paper cites World Action Models are Zero-shot Policies.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation World Action Models are Zero-shot Policies

Reference 17

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source=arxiv_source observed=2026-08-06T00:19:54.480948Z digest=sha256:eca5844665be764c128e490a1c3a7f2baf8a1ddfc56a17b642ea8bd0ad40e738

Observation 7ac3abd2-71c8-45be-9121-a663edb2422d · outbound

This paper cites Motubrain: An Advanced World Action Model for Robot Control.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Motubrain: An Advanced World Action Model for Robot Control

Reference 18

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source=arxiv_source observed=2026-08-06T00:19:54.644722Z digest=sha256:5e1f0fa8c10fa5c46294b7e8f79f95af77b034070e3f6cb5e4f9726bb1b59f20

Observation 032b2d61-a7eb-43c2-b03e-9dfe86b9ef6a · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation arXiv preprint arXiv:2603.17240 , year=

Reference 19

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source=arxiv_source observed=2026-08-06T00:19:54.717685Z digest=sha256:881db88168695c47318fd1da808a33f5270ce763ce725083c0eb0e7ea8e27dc3

Observation 36c6f638-f151-4753-9e0a-1f3446c04820 · outbound

This paper cites International Conference on Learning Representations , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation International Conference on Learning Representations , volume=

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T00:19:58.260419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:54.788450Z digest=sha256:0ce05e185d3a7bdc2f93254055539098670ad6ac11bddb3b4907d433c82041c9

Observation c4c4a955-b75d-4ff3-8ef0-a3dbe2d40ef3 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 21

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source=arxiv_source observed=2026-08-06T00:19:54.908970Z digest=sha256:a3efd296226668903ac1d1c8523506e8d52c77bcdeb2b8bdc6dec613a5216e8d

Observation 9fbd167f-f302-488a-920a-fbc49b50be59 · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 22

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source=arxiv_source observed=2026-08-06T00:19:55.038938Z digest=sha256:7616ab7fc59078e189b451949d2dbc689920305ca73517a96bc45e81a57f100b

Observation 518325a9-456c-4280-84e8-2d9be757222c · outbound

This paper cites Conference on Robot Learning , pages=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Conference on Robot Learning , pages=

Reference 23

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source=arxiv_source observed=2026-08-06T00:19:55.136450Z digest=sha256:434ff53688ab46b0cfa418ab1b5ae078b680c902e97303cc1ec6b854d3804f26

Observation 5ebee454-d12c-4ff1-baaa-2e533c28e13b · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation PaLM-E: An Embodied Multimodal Language Model

Reference 24

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source=arxiv_source observed=2026-08-06T00:19:55.224803Z digest=sha256:1ff0a3c68896cf0ef50e477e7fd7a746f5082e1c0d37756c85df876efd0fdca7

Observation b453391f-31ee-4fbb-87e7-b0c6a8144b76 · outbound

This paper cites 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 25

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source=arxiv_source observed=2026-08-06T00:19:55.265903Z digest=sha256:7545f95f94d589dce6e40c9865341120010a443895291d009b834536075f7240

Observation 26c4772e-1a62-4c42-a4f2-b08c8e0330b7 · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Octo: An Open-Source Generalist Robot Policy

Reference 26

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source=arxiv_source observed=2026-08-06T00:19:55.303451Z digest=sha256:86373f423202cf02fa5ba7a994461b7097e59e1c83ef779acefbb6eac6072bd6

Observation 850cd8d2-cd55-49de-8abd-f02f79499be5 · outbound

This paper cites International Conference on Learning Representations , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation International Conference on Learning Representations , volume=

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T00:19:58.067789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:55.368167Z digest=sha256:7d1c397c20d7cee2d1ca12dc59c97a97320a61798d04cfec0409cba0b23392f6

Observation cbf40a51-0145-4ec9-a81b-1ce81e269b52 · outbound

This paper cites IEEE Robotics and Automation Letters , year=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation IEEE Robotics and Automation Letters , year=

Reference 28

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source=arxiv_source observed=2026-08-06T00:19:55.491475Z digest=sha256:65eb57714f02faaa9515cdfb1241c81fb3ef77e4b8fddd7d8c0ee534dcaa951a

Observation 7195eaff-a9d9-4fcd-9f8c-5183a571e677 · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 29

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no resolver link, observed 2026-08-06T00:19:55.566644Z

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source=arxiv_source observed=2026-08-06T00:19:55.566644Z digest=sha256:8a7a132ffb7b09c33a0ed18571873f93eb62cf38ceb349d6f388980060ce46b6

Observation e16e602a-a655-4feb-8568-2cb85341bfe8 · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 30

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source=arxiv_source observed=2026-08-06T00:19:55.682059Z digest=sha256:77e6e0eaf9ede784af5d5c67ba28ea5c701ea8618d370faa402b7b7397a21dbd

Observation 29d0d70d-94a5-47c3-8a83-a2125cbec383 · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 31

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source=arxiv_source observed=2026-08-06T00:19:55.773651Z digest=sha256:a45b9b3a300f1e16a2b781ff4187ff1476306248ddd3da866562b0ce254ab152

Observation bef57e20-71b5-4b30-9cce-20e99777b7a6 · outbound

This paper cites RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Reference 32

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source=arxiv_source observed=2026-08-06T00:19:55.869777Z digest=sha256:b0e1aa1f2f58eb4339d07c0cce8d448b9565fcf52403cf8eee22affe146732c4

Observation 8b2a6298-12ed-44d9-97e7-e103d9fd4efa · outbound

This paper cites arXiv preprint arXiv:2506.01185 , year=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation arXiv preprint arXiv:2506.01185 , year=

Reference 33

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source=arxiv_source observed=2026-08-06T00:19:55.916675Z digest=sha256:900aeebf99b9f81fab8513fda23c41eb4518cf86b0d00f70033298e00c1e859a

Observation 43bcbe27-8687-420a-a3be-27743e9f3b28 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 34

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source=arxiv_source observed=2026-08-06T00:19:56.021959Z digest=sha256:599772ed8c1ac43a73c0eef6da4d492922551688ec98e8db176943131a364f45

Observation 88faf7e2-d63a-444a-b21e-3423cde366d8 · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 35

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source=arxiv_source observed=2026-08-06T00:19:56.080788Z digest=sha256:b96968e47c0c6b4aa28ba81302faa182040a1bcd1446b03f9d8d112868b55f86

Observation 92e99e22-cf28-4526-a734-8034ccc9d6cc · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 36

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no resolver link, observed 2026-08-06T00:19:56.128209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:56.128209Z digest=sha256:d87aec953fb1c03b7015d3d9b3255ef7a8d480e3e4749a0d6d5f5e2338fb38d6

Observation 1e94b996-3f9c-4d3b-9c3b-e671af5c0d46 · outbound

This paper cites Unified Video Action Model.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Unified Video Action Model

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T00:19:56.221109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:56.221109Z digest=sha256:e9484d4a58d446fc9a199d1dd25f82bb7cd0ecab7160f28d0febb063a8e328d3

Observation e523d330-9909-4030-9c29-cef112efbeed · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T00:19:56.285249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:56.285249Z digest=sha256:72358a5fe831fec17540077e09713241f66c6da8d88be9b99208b95df0f1d223

Observation 51ea51df-e340-44de-a6a2-e115c4031e7d · outbound

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

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T00:19:56.387875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:56.387875Z digest=sha256:4163d1f3cc9a9a5f62859a2c01044b4e196b38ed9f6e1e83d95504d04c240744

Observation 16624d42-cc28-479e-bc57-e6a073a6f8f6 · outbound

This paper cites Proceedings of Robotics: Science and Systems (RSS) , year=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Proceedings of Robotics: Science and Systems (RSS) , year=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T00:19:56.492050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:56.492050Z digest=sha256:b84963dcb5843e70e69390de4f32c75cdc8b91cb238e98e5ee4927064e5c0eb7

Observation 451c4186-5c83-40ef-b063-4017f2870dfe · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T00:19:56.574114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:56.574114Z digest=sha256:29c534fcf674d0b1ffa75d009f69d82c8b5456d91e6e908d26e15650c0c396f3

Observation c5dbb5e3-b525-4358-8510-a3d6d7c300a4 · outbound

This paper cites International Conference on Learning Representations , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation International Conference on Learning Representations , volume=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:19:57.916559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:56.666677Z digest=sha256:37d04b12b3f8cee5cba0ee5e42aa9096fae0d7dc532f8cb8844f66959e83ccc8

Observation 16a3c5b3-74e2-490a-a592-6819721f5055 · outbound

This paper cites 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:19:57.754621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:56.718958Z digest=sha256:0748038a6301462d274e42a0fdbb08cb9c1b6d78e21f51effefdc248a63ad8b6

Observation 22632d97-e7aa-47b6-8a50-7ad04e96ff93 · outbound

This paper cites International Conference on Learning Representations , volume=.

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation International Conference on Learning Representations , volume=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:19:57.600277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T00:19:56.817191Z digest=sha256:011eb17f6c02ce2e6d521384ae62ce0d46420b1e982d89d114dfc910c70c40e6

Pith citing papers

No inbound Pith citation observations are available.