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Paper Citation Record · LEDGER

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.28993.

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

pith.paper-citation-record.v1
2607.28993 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:49:37.070740Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d69c2b35-397d-4549-968b-2bca94bcaf1b · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts World Action Models are Zero-shot Policies

Reference 1

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source=arxiv_source observed=2026-08-03T15:49:33.584563Z digest=sha256:66759c7a694db377cda9698a0379ff6cba2827d0df12e179cca68bdb99025346

Observation a42bf47d-6bd2-42c8-bc9c-5b5b65141d40 · outbound

This paper cites Causal World Modeling for Robot Control.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Causal World Modeling for Robot Control

Reference 2

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source=arxiv_source observed=2026-08-03T15:49:33.654145Z digest=sha256:afd4a1ca9ed23d631d3d8e70e76d248479675be4792f819dbdec343993f4c603

Observation 14a12973-6f5d-4d66-bf7b-e85213b2593a · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 3

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source=arxiv_source observed=2026-08-03T15:49:33.745466Z digest=sha256:e18e31a79115e21c4f18a74efb009440fb95ed12380754b04a571156de76a3af

Observation edccdf48-3963-4fbb-8395-c1414e2492eb · outbound

This paper cites arXiv preprint arXiv:2606.15768 , year=.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts arXiv preprint arXiv:2606.15768 , year=

Reference 4

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source=arxiv_source observed=2026-08-03T15:49:33.835846Z digest=sha256:10322463d66aa2108eab086b8e3a0318ebca93bb272f9a554108fab0ad7ddd3e

Observation a92fd0b1-a34f-49f5-8df5-dd7f71aafed3 · outbound

This paper cites Do World Action Models Generalize Better than VLAs? A Robustness Study.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Do World Action Models Generalize Better than VLAs? A Robustness Study

Reference 5

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source=arxiv_source observed=2026-08-03T15:49:33.944650Z digest=sha256:7b52f4673a47d4e5a998bd1781a84767af3b5cd8c93ffd677a1a5f1b690e0dea

Observation 7c83ccbb-0a5b-4667-92bf-b7b875d07856 · outbound

This paper cites MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models

Reference 6

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source=arxiv_source observed=2026-08-03T15:49:34.013520Z digest=sha256:2693d90b9cdc201cffa4f3b7ecc5e7c88a9f815370d69e639250a7ccd88306f8

Observation c6b19a6e-8806-425d-9072-1392c16f1acc · outbound

This paper cites LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

Reference 7

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source=arxiv_source observed=2026-08-03T15:49:34.106633Z digest=sha256:0c5944df6d510bf176688738e08037fd9cc85ef532a92d4488f680ae47ff9513

Observation 1cb81bbc-0450-4935-8f00-bf16914122e0 · outbound

This paper cites GeoSem-WAM: Geometry- and Semantic-Aware World Action Models.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts GeoSem-WAM: Geometry- and Semantic-Aware World Action Models

Reference 8

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source=arxiv_source observed=2026-08-03T15:49:34.192515Z digest=sha256:38fe662648cef171d2f78f908431e0cb5d640c6320089bebbdd610345f6fb78a

Observation 4268fa03-b28c-4881-abdb-c667b8b80a3f · outbound

This paper cites IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation

Reference 9

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source=arxiv_source observed=2026-08-03T15:49:34.309210Z digest=sha256:ba0002d9a021960502fae88066c59b96cbfd7836027d6837a09a35dba8b83e4c

Observation a60f2a74-6007-4964-9cfd-290b3ef6264f · outbound

This paper cites MV-WAM: Manifold-Aware World Action Model with Value Augmentation.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts MV-WAM: Manifold-Aware World Action Model with Value Augmentation

Reference 10

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source=arxiv_source observed=2026-08-03T15:49:34.392255Z digest=sha256:fd56c212b58c5ffe92730b611aa9b6a7e97fd197855ad9c9cbdd9f35e4c43b9a

Observation 6f9ccf52-df38-48b6-a0c5-e3d4c3af50fb · outbound

This paper cites ABot-M0.5: Unified Mobility-and-Manipulation World Action Model.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts ABot-M0.5: Unified Mobility-and-Manipulation World Action Model

Reference 11

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source=arxiv_source observed=2026-08-03T15:49:34.478816Z digest=sha256:5c741990f228c8bee2a2c24c4978d15cb4cde3ff3e84a8ea6a290d300d4c4a08

Observation 1da97980-6797-4a2a-ba52-6c6f1d1ec2c7 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 12

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source=arxiv_source observed=2026-08-03T15:49:34.537083Z digest=sha256:adf47912c63807fa4f777554ec1bf01051e1bd49b63783cae7c7ebf7434bf406

Observation 6a130b0c-898b-4d5e-ab0d-7a44c23c0186 · outbound

This paper cites an unresolved cited work.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-03T15:49:34.611113Z digest=sha256:89b51c767786a38db78c80ac6f85568521c283a649b4d833f06ce64c8eef7313

Observation ae34c1a9-4884-4110-a404-9587ed9726b4 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 14

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source=arxiv_source observed=2026-08-03T15:49:34.718596Z digest=sha256:6d42c50681ac840d19b05cb91b06de95fa3124e6ee68cb15df45d5313bec8776

Observation 84ff1724-9a32-4d09-9f9e-eecbfad0ae6e · outbound

This paper cites ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Reference 15

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source=arxiv_source observed=2026-08-03T15:49:34.780788Z digest=sha256:d7d293983763a09badaa76cef7e43564ee144de3cd4d961011f57be3d24828dd

Observation cdd68d6f-678d-4449-a39b-bcc00e66d8d0 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 16

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source=arxiv_source observed=2026-08-03T15:49:34.852812Z digest=sha256:db4b897c1aeff791637e1fa69e6b58dc34a71e4e44bc54b10d3373050850194d

Observation 6bd49174-b4ef-4fc9-874e-8e23adc5c9e9 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts arXiv preprint arXiv:2603.17240 , year=

Reference 17

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source=arxiv_source observed=2026-08-03T15:49:34.942689Z digest=sha256:114ce94bd0938c04818d499af492b2e6d9f851aff6bd7a6a225f12018c3fb0ef

Observation daf38b54-0a0b-4451-9fa0-7435c4581edf · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 18

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source=arxiv_source observed=2026-08-03T15:49:35.025359Z digest=sha256:b56d940b60161e689c21e00485fffd709f54342ecc7b9cbbb2851c989abf7270

Observation 841ef738-5d2b-495c-891c-eb4e4101d4b5 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts OpenVLA: An Open-Source Vision-Language-Action Model

Reference 19

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source=arxiv_source observed=2026-08-03T15:49:35.101997Z digest=sha256:c97163e0856697e403d600fce8d38523da3d5516fef0a0133f820267639957a3

Observation 2a798b04-edbe-443e-9b3e-10fc87a9f161 · outbound

This paper cites mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 20

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source=arxiv_source observed=2026-08-03T15:49:35.162289Z digest=sha256:cf22b10f5a64f0c1ab55289aa5576d981b72646e8fdee8424170bf78982043eb

Observation a76ccd74-a74a-4823-8380-d4438a4c5138 · outbound

This paper cites arXiv preprint arXiv:2603.10448 , year=.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts arXiv preprint arXiv:2603.10448 , year=

Reference 21

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source=arxiv_source observed=2026-08-03T15:49:35.252927Z digest=sha256:5f5db98715ba5b62ca16bf1a2e045f4ece1c69a8c982c125ebc361a8a414b563

Observation b98d25de-9775-4dd7-a5d7-e6f0217443ad · outbound

This paper cites AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps

Reference 22

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source=arxiv_source observed=2026-08-03T15:49:35.322527Z digest=sha256:8de585e1cd3a1c551e6b61bd9bade7f6dedafa24887cae5d0ebde402bc04d422

Observation 4c3bc6f6-ea5c-4d8d-8088-2e62effccb5d · outbound

This paper cites Mask World Model: Predicting What Matters for Robust Robot Policy Learning.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Mask World Model: Predicting What Matters for Robust Robot Policy Learning

Reference 23

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source=arxiv_source observed=2026-08-03T15:49:35.398622Z digest=sha256:d7916aca4c5c42463584cfbbdf52e810fe16bb409b4fe8e7ba8d9005cf4ea665

Observation 91398ec1-3a2b-4837-9a01-dde40e1cb041 · outbound

This paper cites arXiv preprint arXiv:2602.22010 , year=.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts arXiv preprint arXiv:2602.22010 , year=

Reference 24

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source=arxiv_source observed=2026-08-03T15:49:35.478946Z digest=sha256:2eff3ac35181d0848718fb77a5a0c243958098da43470d18e9ca5ed62e866b42

Observation 2c394b1d-a10e-40b6-8f98-379a84346ac7 · outbound

This paper cites Being-H0.7: A Latent World-Action Model from Egocentric Videos.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Being-H0.7: A Latent World-Action Model from Egocentric Videos

Reference 25

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source=arxiv_source observed=2026-08-03T15:49:35.551365Z digest=sha256:300c13cb8a982fbbae9e5ed1c2060e6eaa56dd4b0a22ea8188df5d8e6877fd17

Observation 7b05dad0-21cb-472e-ac54-08070d560203 · outbound

This paper cites DINOv3.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts DINOv3

Reference 26

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source=arxiv_source observed=2026-08-03T15:49:35.629953Z digest=sha256:fc9fc41eaa3b1210ccf2d56b1d886a0f87cacb8eb33c72aaf989c72b8ae7377a

Observation f90ee0f5-732d-4c95-bd12-c5ca8d359c28 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Advances in Neural Information Processing Systems , volume=

Reference 27

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source=arxiv_source observed=2026-08-03T15:49:35.684909Z digest=sha256:218eee076ae755ea14844802982f278199beb4d918c2c21c1a11daf5e9a7b6e7

Observation b4dde9ff-4c7c-41ee-90c4-d1f3ffe04749 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Wan: Open and Advanced Large-Scale Video Generative Models

Reference 28

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source=arxiv_source observed=2026-08-03T15:49:35.728941Z digest=sha256:d0fa277d8c9af045f65ff662abf14efb2a085efd822acbff98e3d0adbe4d65fd

Observation 996db361-a99c-4b7c-a0be-f68aab709be6 · outbound

This paper cites LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Reference 29

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source=arxiv_source observed=2026-08-03T15:49:35.803554Z digest=sha256:3f92d987419f208b39b77c4b1ab6c595963c096452bddf0a3961aee1d269078c

Observation 1eedc7ed-138f-4cef-986f-d5f4c189b44e · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Advances in Neural Information Processing Systems , volume=

Reference 30

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source=arxiv_source observed=2026-08-03T15:49:35.866394Z digest=sha256:b4c85fe0f125c80e5a1ca1322d8bcbc7122258c835587ec75a64907a72e435d8

Observation 7ca0bf2c-0a9d-4a05-b7b8-98447f04fc02 · outbound

This paper cites arXiv preprint arXiv:2602.10098 , year=.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts arXiv preprint arXiv:2602.10098 , year=

Reference 31

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source=arxiv_source observed=2026-08-03T15:49:35.934280Z digest=sha256:0e273f644d6a247c3286ad246989979172c876ec35bee11c9f2220ef21363e5e

Observation 68089a7d-d00b-464d-81f1-b30d939889bb · outbound

This paper cites Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining

Reference 32

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source=arxiv_source observed=2026-08-03T15:49:36.017420Z digest=sha256:3a4e55177dc1e472f24a67f43a646a927b80da2d608907fddafbe0e2775cd8d4

Observation 749d4cc4-7782-4ce1-b4e5-d87ad5cd064e · outbound

This paper cites Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models

Reference 33

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source=arxiv_source observed=2026-08-03T15:49:36.099225Z digest=sha256:b464afed0ab826d09cf77503fd626b382f1a572a38728a65fc38e83384d7c00e

Observation 462dfb1d-2b19-44c8-b437-1d44852bcea0 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 34

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source=arxiv_source observed=2026-08-03T15:49:36.181358Z digest=sha256:8b44708b3ca4950007ab777f5fc0716459395296e3029584565a3ed49436198b

Observation f9fe8d26-f112-486e-9d2d-6b6953e41b69 · outbound

This paper cites Qwen3-VL Technical Report.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Qwen3-VL Technical Report

Reference 35

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source=arxiv_source observed=2026-08-03T15:49:36.242713Z digest=sha256:ca6d0387068021ae6dc7717f8392e0f73f68d46bd9d902668c062d6c3230048d

Observation 06f1ea8b-4ded-4fbb-bc7c-3421adf4daf9 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts WorldVLA: Towards Autoregressive Action World Model

Reference 36

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source=arxiv_source observed=2026-08-03T15:49:36.294561Z digest=sha256:2a7a3dbdd3e6cc9a66a7de7ebccbbf788eba3523a81eebe287d28939a86e473b

Observation 4af71e38-d753-4496-9691-e29d470a3dd7 · outbound

This paper cites NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks

Reference 37

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source=arxiv_source observed=2026-08-03T15:49:36.356318Z digest=sha256:0105e3802279f076527f43b6580ab099293ed71106c27195945d7493696b0be8

Observation 948f2ae5-2ef9-4c78-903f-24bcb34d81fc · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 38

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source=arxiv_source observed=2026-08-03T15:49:36.418442Z digest=sha256:7475068b7fb48fbf681b988932e6e3cf3f8571ad8fb6ea4474688e90b39c6a77

Observation e4950578-bec0-4741-b9b3-806322812cad · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 39

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source=arxiv_source observed=2026-08-03T15:49:36.479527Z digest=sha256:67b1b88595214b913ff1e2b126c2e291eab63b8499755a589a30411cd17b9570

Observation 2603dae1-fb5e-44fd-80f5-fa67308fed01 · outbound

This paper cites Interactive Post-Training for Vision-Language-Action Models.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Interactive Post-Training for Vision-Language-Action Models

Reference 40

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source=arxiv_source observed=2026-08-03T15:49:36.540809Z digest=sha256:6d1aba0f6fd5c8a280baa962accc1f61fd6985b1ec4d97e940e882a0d3619d0d

Observation 0708d229-08b6-43f4-a0c0-576d1444b975 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 41

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source=arxiv_source observed=2026-08-03T15:49:36.623400Z digest=sha256:f2d4b77eaa99af67efdf71eda0ca11c265f0a7e1a0e6127c2561bfe6c93743e5

Observation 9a05cf12-e7f3-4e86-b971-eeba44199cd3 · outbound

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

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 42

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source=arxiv_source observed=2026-08-03T15:49:36.705724Z digest=sha256:718fab0d5b215b262b3e44fa7ca5014fb9760f4e19bb3e306d70fff792adab7d

Observation f5affaf7-a293-4d9f-a5e7-5ef29ab42a36 · outbound

This paper cites The eleventh international conference on learning representations , year=.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts The eleventh international conference on learning representations , year=

Reference 43

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source=arxiv_source observed=2026-08-03T15:49:36.757841Z digest=sha256:bc08749ad72913f4cae36c370bd34a7cbb4e7b9f7193fd8a7ac47e6214c2d6a8

Observation ee946bce-322a-488e-ad5f-2e055f3e905f · outbound

This paper cites Robot World Models , year=.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Robot World Models , year=

Reference 44

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source=arxiv_source observed=2026-08-03T15:49:36.800608Z digest=sha256:bf77b8c1f800d0a7c8e9e1b3fb8ec13c73d56325b93e017d4a506dc7c1261af1

Observation 60730c37-0e5f-434b-89d8-d4b1a95b1c49 · outbound

This paper cites Learning 4D Geometric Priors for Inference-Efficient World Action Models.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Learning 4D Geometric Priors for Inference-Efficient World Action Models

Reference 45

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source=arxiv_source observed=2026-08-03T15:49:36.861441Z digest=sha256:c93990092681e3554819794fd01787d540b813b6ff0cffd47c30b284f79884b8

Observation d80caec6-100a-4080-99fa-d25cfd54de36 · outbound

This paper cites OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation

Reference 46

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source=arxiv_source observed=2026-08-03T15:49:36.938227Z digest=sha256:ee869ab11a750f1fc74e2a07e11271a2cc2fbbfc7fe387c90eea85d08fd97612

Observation 8ba3a237-d2e3-40d4-80c8-7e09d28a352c · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =

Reference 47

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source=arxiv_source observed=2026-08-03T15:49:37.019119Z digest=sha256:168375528445fd120da039057f4a1983cff953f1ee8f48f5aad1be6d7982c21c

Observation 6549a16e-5ba3-47b9-9e15-34169bd25e06 · outbound

This paper cites 2026 , eprint=.

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts 2026 , eprint=

Reference 48

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source=arxiv_source observed=2026-08-03T15:49:37.070740Z digest=sha256:b6a92d60b43c9ba1513fc8a4824b219e68d58fee47920573d2a170f09e479d34

Pith citing papers

No inbound Pith citation observations are available.