Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-08T07:06:13.473493Z
Paper Citation Record · LEDGER
From Foundation to Application: Improving VLA Models in Practice
As of 28 July 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.06403.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-28T06:31:03.373048+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact31
- verified fuzzy16
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5cfc9951-4d25-4d42-a0ba-7eb2e0803ad2 · outbound
This paper cites Cosmos 3: Omnimodal World Models for Physical AI.
From Foundation to Application: Improving VLA Models in Practice Cosmos 3: Omnimodal World Models for Physical AI
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.485926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation ad679c6b-c74c-46c5-8811-c36109dc0cf5 · outbound
This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.
From Foundation to Application: Improving VLA Models in Practice V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.493399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 003e4f82-c2c8-4c38-9672-109e2ab194a2 · outbound
This paper cites HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation.
From Foundation to Application: Improving VLA Models in Practice HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.498061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation f74c6e13-d353-4e0f-8184-eb646ba6a0bc · outbound
This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.
From Foundation to Application: Improving VLA Models in Practice GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.502118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 86cab0f7-a598-4d4c-b632-021ef85ad981 · outbound
This paper cites an unresolved cited work.
From Foundation to Application: Improving VLA Models in Practice Unresolved cited work
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.712960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation dda130c9-d3f6-40bd-a14a-ac9bfca4c787 · outbound
This paper cites InProceedings of Robotics: Science and Systems.
From Foundation to Application: Improving VLA Models in Practice InProceedings of Robotics: Science and Systems
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.704491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 91d09b23-e93c-4f91-a230-f1db8a83125a · outbound
This paper cites arXiv preprint arXiv:2602.12684 (2026).
From Foundation to Application: Improving VLA Models in Practice arXiv preprint arXiv:2602.12684 (2026)
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.505934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 7d8a7ae8-e647-4482-9483-5308709382ad · outbound
This paper cites GR-3 Technical Report.
From Foundation to Application: Improving VLA Models in Practice GR-3 Technical Report
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.482564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 84bce366-b3c6-4b47-aa2e-27f5c335d9db · outbound
This paper cites Lawam: Latent world action models for efficient dynamics-aware robot policies.arXiv preprint arXiv:2606.15768, 2026.
From Foundation to Application: Improving VLA Models in Practice Lawam: Latent world action models for efficient dynamics-aware robot policies.arXiv preprint arXiv:2606.15768, 2026
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.468230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 49ec92c7-707e-4b92-9041-be7498122d83 · outbound
This paper cites ABot-M0.5: Unified Mobility-and-Manipulation World Action Model.
From Foundation to Application: Improving VLA Models in Practice ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.472368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation bc4f3dae-fafa-47c1-ba37-c76f365535c6 · outbound
This paper cites Dexworldmodel: Causal latent world modeling towards automated learning of embodied tasks, 2026.
From Foundation to Application: Improving VLA Models in Practice Dexworldmodel: Causal latent world modeling towards automated learning of embodied tasks, 2026
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.675975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 22113d00-53bb-49f0-bb94-23dbbf411775 · outbound
This paper cites HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies.
From Foundation to Application: Improving VLA Models in Practice HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T02:19:49.242114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation cc3a46fa-a757-4bb3-a01b-df17909688d3 · outbound
This paper cites Galaxea g0.5 technical report, 2026.
From Foundation to Application: Improving VLA Models in Practice Galaxea g0.5 technical report, 2026
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.710268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 853afccb-f2b6-4f39-8a32-ce3bea1f01f7 · outbound
This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.
From Foundation to Application: Improving VLA Models in Practice Galaxea Open-World Dataset and G0 Dual-System VLA Model
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.462253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation b0d968cf-f23c-4deb-b81d-c421f2bd1c1c · outbound
This paper cites RLDX-1 Technical Report.
From Foundation to Application: Improving VLA Models in Practice RLDX-1 Technical Report
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.478990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 10e80ea4-bf94-4929-b266-8784b39cb6cf · outbound
This paper cites OpenVLA: An open-source vision-language-action model.
From Foundation to Application: Improving VLA Models in Practice OpenVLA: An open-source vision-language-action model
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.681788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation fc61d89c-b1a4-4adc-ba11-40f28e2e2673 · outbound
This paper cites Forcevla2: Unleashing hybrid force-position control with force awareness for contact-rich manipulation.
From Foundation to Application: Improving VLA Models in Practice Forcevla2: Unleashing hybrid force-position control with force awareness for contact-rich manipulation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.454088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 414594b6-6e00-4fa7-923a-6c634c02b9fe · outbound
This paper cites HoloBrain-0 technical report.
From Foundation to Application: Improving VLA Models in Practice HoloBrain-0 technical report
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.438202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 7a9673b0-6999-4e6f-9221-507e0d6c44ba · outbound
This paper cites DeepSeek-V3 Technical Report.
From Foundation to Application: Improving VLA Models in Practice DeepSeek-V3 Technical Report
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.441802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation c898bc55-29e6-4ff2-b04c-63542be34257 · outbound
This paper cites Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos.
From Foundation to Application: Improving VLA Models in Practice Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.445289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 6c238041-d146-4740-8dc5-4dd34b9f904b · outbound
This paper cites Being-h0.
From Foundation to Application: Improving VLA Models in Practice Being-h0
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-08T07:14:45.449397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 91bcbe7b-0b66-45da-a1f9-82fd7c9fa25c · outbound
This paper cites Being-H0.7: A Latent World-Action Model from Egocentric Videos.
From Foundation to Application: Improving VLA Models in Practice Being-H0.7: A Latent World-Action Model from Egocentric Videos
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.425343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 9c7c5ceb-597e-468c-b36b-ef4f15c62d99 · outbound
This paper cites LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.
From Foundation to Application: Improving VLA Models in Practice LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
Reference 23
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T07:14:45.429695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 09d20cf5-02cc-40c1-b310-e721e2ea7bbf · outbound
This paper cites LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment.
From Foundation to Application: Improving VLA Models in Practice LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.433532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation a7e6a948-fdb6-4cbc-9887-7506ede97bf2 · outbound
This paper cites Qwen3.6-27B: Flagship-level coding in a 27B dense model, April 2026.
From Foundation to Application: Improving VLA Models in Practice Qwen3.6-27B: Flagship-level coding in a 27B dense model, April 2026
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.693592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 200de719-b032-4001-99d9-62d85cf3582a · outbound
This paper cites an unresolved cited work.
From Foundation to Application: Improving VLA Models in Practice Unresolved cited work
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.695786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation a50f5f59-ac4b-4439-9906-daba83719e83 · outbound
This paper cites World guidance: World modeling in condition space for action generation.
From Foundation to Application: Improving VLA Models in Practice World guidance: World modeling in condition space for action generation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.687497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 1d7926b9-6a1e-44e7-b461-e6af4cac3c85 · outbound
This paper cites Masked depth modeling for spatial perception.
From Foundation to Application: Improving VLA Models in Practice Masked depth modeling for spatial perception
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.678764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation d86c13d0-8e17-4dfe-ac6a-dab771786a42 · outbound
This paper cites Towards human-like manipulation through RL-augmented teleoperation and mixture-of-dexterous-experts VLA.arXiv preprint arXiv:2603.08122, 2026.
From Foundation to Application: Improving VLA Models in Practice Towards human-like manipulation through RL-augmented teleoperation and mixture-of-dexterous-experts VLA.arXiv preprint arXiv:2603.08122, 2026
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.408586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation f87599c4-14d9-4a46-97d3-26cbd1f2227d · outbound
This paper cites Gemini Robotics: Bringing AI into the Physical World.
From Foundation to Application: Improving VLA Models in Practice Gemini Robotics: Bringing AI into the Physical World
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.412977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation e1815cef-e8cf-43ef-8c62-97586520cf08 · outbound
This paper cites Gen-1: Scaling embodied foundation models to mastery.Generalist AI Blog, 2026.
From Foundation to Application: Improving VLA Models in Practice Gen-1: Scaling embodied foundation models to mastery.Generalist AI Blog, 2026
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.701906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 6fc84b0e-6424-425a-b3e2-68d61766908b · outbound
This paper cites GR00T N1.6: An improved open foundation model for generalist humanoid robots.
From Foundation to Application: Improving VLA Models in Practice GR00T N1.6: An improved open foundation model for generalist humanoid robots
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.684694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 9a260665-5e6e-4215-bd3a-d4184da1253e · outbound
This paper cites Qwen-robotmanip technical report: Alignment unlocks scale for robotic manipulation foundation models.
From Foundation to Application: Improving VLA Models in Practice Qwen-robotmanip technical report: Alignment unlocks scale for robotic manipulation foundation models
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.707305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation e3815cc7-0ec4-4778-a075-b92499ecd99c · outbound
This paper cites Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments.
From Foundation to Application: Improving VLA Models in Practice Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.417284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation dfc55af1-d17c-4f73-bb2c-ae5e12688dc7 · outbound
This paper cites Vision-centric activation and coordination for multimodal large language models.
From Foundation to Application: Improving VLA Models in Practice Vision-centric activation and coordination for multimodal large language models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.398070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation e14e13a8-c8c0-411d-8d07-72518703617a · outbound
This paper cites The Great March 100: 100 detail-oriented tasks for evaluating embodied ai agents.
From Foundation to Application: Improving VLA Models in Practice The Great March 100: 100 detail-oriented tasks for evaluating embodied ai agents
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.698622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation a33f30d5-2454-4287-bcc9-6475f0bd0426 · outbound
This paper cites Videorope: What makes for good video rotary position embedding? InInt.
From Foundation to Application: Improving VLA Models in Practice Videorope: What makes for good video rotary position embedding? InInt
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.690508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation fad77dea-ea50-4f54-a5e8-29f3e5b9bfa3 · outbound
This paper cites A Pragmatic VLA Foundation Model.
From Foundation to Application: Improving VLA Models in Practice A Pragmatic VLA Foundation Model
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.387940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 826ef41b-3fe4-4b80-82aa-a6989304975a · outbound
This paper cites Hy-embodied-0.5-x: An enhanced embodied foundation model for real-world agents.
From Foundation to Application: Improving VLA Models in Practice Hy-embodied-0.5-x: An enhanced embodied foundation model for real-world agents
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.718522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation b24c01e9-c49b-49d3-9a91-7304df6f9778 · outbound
This paper cites OmniStream: Mastering perception, reconstruction and action in continuous streams.
From Foundation to Application: Improving VLA Models in Practice OmniStream: Mastering perception, reconstruction and action in continuous streams
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.393708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 0151f29a-b4ac-4cd7-841c-c12b40ffbc18 · outbound
This paper cites Magma: A foundation model for multimodal AI agents.
From Foundation to Application: Improving VLA Models in Practice Magma: A foundation model for multimodal AI agents
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T07:24:43.715649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 233158c1-bc37-43e6-9c03-04ddb6cefe9f · outbound
This paper cites ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning.
From Foundation to Application: Improving VLA Models in Practice ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.381619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 77d13554-2337-4648-a28b-1f0e9f6599ba · outbound
This paper cites StarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems.
From Foundation to Application: Improving VLA Models in Practice StarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.385142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 738073c5-f75c-40ba-aed7-3ee744efdefc · outbound
This paper cites Samoe- vla: A scene adaptive mixture-of-experts vision-language-action model for autonomous driving.
From Foundation to Application: Improving VLA Models in Practice Samoe- vla: A scene adaptive mixture-of-experts vision-language-action model for autonomous driving
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.403016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 7019218b-1805-44b6-9062-ccefc4d59f97 · outbound
This paper cites Forcevla: Enhancing vla models with a force-aware moe for contact-rich manipulation.
From Foundation to Application: Improving VLA Models in Practice Forcevla: Enhancing vla models with a force-aware moe for contact-rich manipulation
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.421603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 9d0f20ee-5153-47d9-8194-1471d3e15e7f · outbound
This paper cites Wall-OSS-0.5 Technical Report.
From Foundation to Application: Improving VLA Models in Practice Wall-OSS-0.5 Technical Report
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.374157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation b61eabe8-f1df-46c2-bb7a-665fb8187bde · outbound
This paper cites Igniting vlms toward the embodied space.
From Foundation to Application: Improving VLA Models in Practice Igniting vlms toward the embodied space
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.377496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation b610e1b9-44f4-4f9c-867c-890dbb7e5f3b · outbound
This paper cites AtomicVLA: Unlocking the potential of atomic skill learning in robots.arXiv preprint arXiv:2603.07648, 2026.
From Foundation to Application: Improving VLA Models in Practice AtomicVLA: Unlocking the potential of atomic skill learning in robots.arXiv preprint arXiv:2603.07648, 2026
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T07:14:45.370620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 5f4a89b6-e6f7-4190-8252-542136a69e98 · outbound
This paper cites GEM: Generative Supervision Helps Embodied Intelligence.
From Foundation to Application: Improving VLA Models in Practice GEM: Generative Supervision Helps Embodied Intelligence
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T07:14:45.366955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Pith citing papers
No inbound Pith citation observations are available.