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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:e3722089074227856cbd35fe0cfe3982da0be808a89e5d3920a5c3a280fc1e15

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:52.613260Z digest=sha256:41e14a6512538b4672d8e06b736ff5bd22fdb84fcfe9fdff8659484386647676

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:d533ee67589ef235da934eb17fea5e112af9cb52b5af0a2eb39671ef42937e29

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=sha256:88dfed668ed9405e1dbcc14830fa1c015ad38da83ade49c8f870958a394757ae

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=sha256:732177c3686ba21766d88006a899227b79d25c4f732a99ba8547cc5590e23947

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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source=arxiv_source observed=2026-08-06T00:19:53.027625Z digest=sha256:0adde940079b6ef8047cafdbd68cc629cce838a232656d51a42ce2208a7c05ed

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:a60a1e2752dd7183597ca8ab0229f0ece388affa926abf3852741c3d09b48b2a

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=sha256:25d20fbdc0de95c7f70014c2a85b180799ee003366709f9c43d1bc833ed9593d

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=sha256:0aab31b2e251b71ac6537dca98b5af9eb361da732fd3b87d27a70f819492763f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:53.534852Z digest=sha256:fdd4b8dcfba3b95685fbe5a3cb1437b22e7cf721c7ec3229a3f90eadb0e8b70d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:53.684980Z digest=sha256:6d405087eb273a18c4fa5e9dcd48db1c81b56be4fe9c6ae3a379395f7a61ac81

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=sha256:3be60d552acb746475cd9f281ffe280f2e6165d7a341d4d50f7f7a374c3c8d1b

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:afaebc74342617893a5d0b501a548d3fb7a3a3aefc63d5009f0f39b80aeb886f

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=sha256:158d84a2c975a0aa597f073106a982820a32f033f59bce9402fbbb8325fc04bc

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=sha256:68766ca0683859a260996ac7d2b928aaf2771f48678290b639da53783283e0fb

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=sha256:6a852d5507c658809a2474c52f33fc3ef9c511a1ddb174a147f7cfe223aa2709

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=sha256:1aec045a734ce388bd1a135ce85a08a684bda37b180cbb564c9d490319ab685c

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:f2f7657122aa0c231fba321fb8aef67940183e760176cbb47e2e9d48d38bc996

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:e1887000e39a7491786095a65e6040586ee407bc16e2b9c04d0f4a7e784669bc

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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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:54.788450Z digest=sha256:108d70308cfc5f626fa13d4afeb0a509cfe6c097726fbe216986fb8cd7c2bab9

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:eed1e52d016b8efb283741d339e02feab7f9c6aeaf7ca9bdac210ad1a7fdbcc4

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:a82c45a105e43611aaa78c2218107bdcdb9ac4acd2eabf34f21ac0f996daefc3

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:ddcf301060ba1c7dbf5a2fcefbd977800b4f27ae4054320e052bd4151cab2bad

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:d0883541ce853992365a87161ebac756561972ed86e5656fec9cf0f7d51c0d82

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=sha256:963f3acf2915198fee3dae574f882836de8a31c5ec98d95c60108efaadb112b8

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:b96478ab9ea3f057cab625c3237ac00328fa447811e0db9b0da2da4ecca18ddb

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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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:55.368167Z digest=sha256:43707e76e3402777813739940839744f74a794c5ab722d2831c7dfde90d27224

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:cc220a6fe04629305dcce315c0e5b3a41b26b179ac0cba4c489f40d9a3c9952a

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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source=arxiv_source observed=2026-08-06T00:19:55.566644Z digest=sha256:ff266e8c57e718d2b83d121ef9874370aee48f4b6451e4f219305b72b3fa8c4d

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=sha256:65559ca70fa2f68ff14f593a6effe46fc39b62417f60b7d19a0783cf1cd830a2

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=sha256:94d9cd453a2e1f72f07a6649d628950cc26272485194744a655dde9affc67bf5

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=sha256:9505adc0c539e6cd5be1a0a003e10a587d1e21a8a737db581ca7ee4b90eb6065

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:ed58bda272b49f70c24c9d1cdadf49e12e50284d58f142f2292ad6e9af700d39

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=sha256:3f233cd99485f95363a6016b32127ab802947d4adf72be38c544ad306c52b1e5

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=sha256:9ed1ee14b95186d30abcdb0457727ae04feb7301ab0b9513b3fe706c815fd299

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:19:56.128209Z digest=sha256:50ebcd29bb7d4dc9ca1fc9922df5ad2116606474ff66cd289b6d9dd7b4932bae

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=sha256:766871c736d253565c00f3664816eaa9ce4686961802b805e752510d2143ee2c

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:ab48be5cb06b7d2b893519743add69c633abe37c77743beccd55bc8235f05bd0

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=sha256:3643bd190e3f1c41e3b2fb9df6b7c95e03d125fdd21c7304634a7e64b28667e5

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=sha256:6fc9f40de2a315fcbb65f997e78447dbf254823f57f83486234412f3e01cc59e

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=sha256:3ec7a486b6966fa516cf655ef10280d80ca90793f6633346ee080d89143f2a20

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:56.666677Z digest=sha256:c0242f8e72efbe55e960f576efb1524fba811c31de24ee3b00b05d72e8c39b4f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:56.718958Z digest=sha256:3e26d1fa364860ba93019d28dac8e6070f9bc6e033bd894889fcacc39c07defa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T00:19:56.817191Z digest=sha256:f1961d1b785b507723255f2b3a50a5cab78f2b54b2c97655f7e14267a8508eb4

Pith citing papers

No inbound Pith citation observations are available.