Pith. sign in

Paper Citation Record · LEDGER

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation

As of 5 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2607.04927.

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

pith.paper-citation-record.v1
2607.04927 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:21:18.588143Z

measured 30 of 30 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 2026-08-01T14:13:42.700278Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbf5bfbc-3865-4afb-a33a-e27d312d6a7e · outbound

This paper cites Qwen3-VL Technical Report.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Qwen3-VL Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:b2980c2ab1f02e3fa9db2fd186564cd1241642ed398ffa83d413d044a4aafee5

Observation f01d0670-ccd0-4caa-ae62-01ab05c8188b · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation PaliGemma: A versatile 3B VLM for transfer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:5d91b72e0832836a9a558a4f4b52888fb96cf6e99ede57e53fa81fce8c265d04

Observation b36f2880-6ec0-45c6-9c8d-fb59d55a9ea0 · outbound

This paper cites Motus: A Unified Latent Action World Model.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Motus: A Unified Latent Action World Model

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:b6c13958f8da4c97c55412287309d83504ccaaa4156ddf92dd1fb138cb4fe9be

Observation cd23cc10-fe1b-4277-8705-0699abd56e9c · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:24e0acf8eaf507f38ff685306da585668b64a5b7302c7d8b29a8065767daf48d

Observation 60376b29-80d8-4e40-94fc-859ff23e52c3 · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:19137ad4c1934a452e8b001cd9d3327d6024148556a91561d076b312acecfecc

Observation d3cd1e72-2bb2-4542-94f3-f0e9167d010f · outbound

This paper cites Real-time execution of action chunking flow policies.Advances in Neural Information Processing Systems, 38:33383–33407, 2026.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Real-time execution of action chunking flow policies.Advances in Neural Information Processing Systems, 38:33383–33407, 2026

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:cba551456bebed4e88769e007cb4696223ece9cb8cd5ddcb3cf668781def4507

Observation 86a88531-7f9b-4435-b686-57c35fa4841a · outbound

This paper cites Xiaomi-robotics-0: An open-sourced vision-language-action model with real-time execution.arXiv preprint arXiv:2602.12684, 2026.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Xiaomi-robotics-0: An open-sourced vision-language-action model with real-time execution.arXiv preprint arXiv:2602.12684, 2026

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:ef1a43229a02403e1b3be91d497c4353152c11bd3ae2ee3adc158d770f31e967

Observation bb57eb62-3725-4394-9b4d-b128acadf018 · outbound

This paper cites RynnVLA-002: A Unified Vision-Language-Action and World Model.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation RynnVLA-002: A Unified Vision-Language-Action and World Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:abdd78e97ff8ab8b62e3e402ebd18f7adf546ef1188d4eec58708d9e5b1725b7

Observation 692701d6-e2a2-46dd-adf0-ef6b1f42cc27 · outbound

This paper cites GR-3 Technical Report.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation GR-3 Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:4a43914bdc87c5ce15fe992af97542a6010d5c5896fb9466deaa620d61dc7ed2

Observation 5230dedb-14c2-465a-8f62-d428fcc41da4 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:dc67f55d36e647d6fd5549b9c5e5b45f75c7ef8bb71dc2de313ec4ee2bec3bd1

Observation f199c7a9-c8b4-4a78-b9d8-5396b7c7feb5 · outbound

This paper cites StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:1ff9cc5400fe12854f205e74bc4d2f96f363f7ae767cf1e8a58bd90ec92107da

Observation f7efbd93-381a-411d-986f-4aea2cf586f9 · outbound

This paper cites Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:4409a2cf6973b0c47b15e9174d07a99a66233ab6a1a62cd2b8a073306a9d7240

Observation c106706d-7eb8-4ff4-a6e0-8f153dc117f2 · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:36bf11095b876ecb0af1ade30e0d60f6f0e3e75d337b564f86d6f49ade21c0ed

Observation be1eb293-59bc-409d-86bb-bf279ea538d2 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:719332e2f3c929c7334fe9d442865779788656351ae52ee3c90e0cad08f968a2

Observation fcde6e71-c42e-48f5-a1cb-c53dceea3016 · outbound

This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:091668e48c2d0c1945977e7f9a13ba6cd95c9a4acc1a1355631a9e9d246aa521

Observation 8e8b6c7a-d488-40f9-9bd2-25e8e2a485cc · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:85845246cf9f9dd3b7abb4560a8e575e695c982fa77da651d55ae8f82e543312

Observation bce06cda-5db8-4ec8-ab43-a24e74fc6ea8 · outbound

This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:897858ab58140daa09c426d8341dd875e10f4e3c114832a5e5c082802b7dad46

Observation d2bf9a6b-f440-4a25-81d3-6cbb1b96b870 · outbound

This paper cites Causal World Modeling for Robot Control.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Causal World Modeling for Robot Control

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:d0a0a3c8ae397e05f72acd167383acabc405a3947e651a3bb9659a189389e2a6

Observation 3bda44c0-43d7-42e8-8514-6d8e9e18cc3e · outbound

This paper cites Flow Matching for Generative Modeling.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Flow Matching for Generative Modeling

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:c30518c228b396ab45a09b388799b90d7560976ea536f5bb9c6edb3c97629038

Observation 1edf4dad-be6a-4682-869f-65855968be16 · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Motubrain: An Advanced World Action Model for Robot Control

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:18bdeb860a00d09771c36b2fad5870017b52e891e6e6597bf17724494e5cd11a

Observation b3506145-cd26-4140-8c9f-fd0630ba1ccc · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:63ec8db65648e04ed25598339bc4676519017c5f5986fd911d621d4b3821efe0

Observation f8f84011-ab4c-4c8d-a5ac-eb0591ac4d79 · outbound

This paper cites DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:5dd429273fce0500a7e8b7482fb13318e6c93389a2cc399f81d27c1617821835

Observation c62e62c8-f7f7-4510-b8f3-6df2c84984b2 · outbound

This paper cites A Pragmatic VLA Foundation Model.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation A Pragmatic VLA Foundation Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:f86859fba29e031b700c2f4ff83c1fcb3d2b428e77a0c83c00b83c351651beab

Observation defb7821-6773-469c-86c2-750f681e2b09 · outbound

This paper cites ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:8ae8fad4ec7c3f177f1979287e78592c324c64131de84af9c6173b0eaa04588d

Observation 3e313c88-ebfe-42f1-b84b-ee000e4212e3 · outbound

This paper cites Gigaworld-policy: An efficient action-centered world–action model.arXiv preprint arXiv:2603.17240, 2026.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Gigaworld-policy: An efficient action-centered world–action model.arXiv preprint arXiv:2603.17240, 2026

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:379fd46038145aad0ce4ae1dddc9c5f86bb0cffe90f1792fb9e45d972f43ad2b

Observation c0eabf9e-170e-4bea-9f97-22ee04c5ed3e · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation World Action Models are Zero-shot Policies

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:3e960c3919ac2fd649261b06459b295091da9e56c027678b10208b4bf00ccc7e

Observation e2c30151-7e3a-4635-9a42-1740044d615a · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:5b074c39232a1a0997f8646137f2300d4a346337b5dea054577242963c436c11

Observation 9910ae9b-fb51-4d0e-a1c2-ab2918daacf8 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:f654db4cecde5399df02f970b785b534427ca9764ac7866f0dcdbbb2264d6021

Observation 6b086f9c-dd54-4612-aa6e-2557d810d154 · outbound

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

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:588829cbca9926b483a9d66c7f14bdfd6db23b6ce96362771e0e9244b690e8cf

Pith citing papers

Observation cee9344a-f529-4a00-9dce-d34e812cb017 · inbound

WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory cites this paper.

WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T14:13:42.700278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:13:42.700278Z digest=sha256:e5b37110457d4507ff8b3969c8800f693405029d76ae49eb485b2801cae694f1