Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T16:52:05.565650Z
Paper Citation Record · LEDGER
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model
As of 5 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2605.22671.
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 2026-08-04T06:34:03.388597+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
34 of 34 outbound references displayed
- verified exact25
- verified fuzzy3
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation edf2a703-f21b-4b59-91fc-96c0e1a2061b · outbound
This paper cites Dexterous manipulation through imitation learning: A survey.arXiv preprint arXiv:2504.03515.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Dexterous manipulation through imitation learning: A survey.arXiv preprint arXiv:2504.03515
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.323038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42a34d34-0ef1-4e4c-a273-f7230f411361 · outbound
This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.216782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6bdb2d9b-0ad3-4166-8465-67e835f68bd6 · outbound
This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 4
- Resolution
- malformed identifier
- local_arxiv, observed 2026-06-30T16:54:58.214010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1f13d2af-bea4-49d6-aba8-249e78b13760 · outbound
This paper cites Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.233817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b0569cfb-8cd5-40f0-84b6-150fda208485 · outbound
This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.236871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f9b97e5e-3184-4795-b1c5-16552b6f11b5 · outbound
This paper cites Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.227637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7abd9c0b-9a9f-42e7-a012-a43ea7361629 · outbound
This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.230285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7f88e7fa-b614-4824-ba0f-d15e1f5c9d3e · outbound
This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.345421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 334b672b-37c1-4fd0-ac2f-21edf41037b5 · outbound
This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model OpenVLA: An Open-Source Vision-Language-Action Model
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T16:54:58.219324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9e10d44b-f737-44f2-98d7-233acb10287b · outbound
This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T16:54:58.274271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c4825ece-e642-4d71-ad7f-8142bccfefc3 · outbound
This paper cites Behavior Generation with Latent Actions.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Behavior Generation with Latent Actions
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.223988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 134aa164-34ca-4cba-aeb5-4e13ff9a65d3 · outbound
This paper cites PointVLA: Injecting the 3D World into Vision-Language-Action Models.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model PointVLA: Injecting the 3D World into Vision-Language-Action Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.317685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 618c47b4-d8e8-4042-b9c3-43a2b8ed51f3 · outbound
This paper cites Optimus-3: Towards generalist multi- modal minecraft agents with scalable task experts.arXiv preprint arXiv:2506.10357, 2025f.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Optimus-3: Towards generalist multi- modal minecraft agents with scalable task experts.arXiv preprint arXiv:2506.10357, 2025f
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.239700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1f1d091f-cb2a-45b1-840d-23471d374259 · outbound
This paper cites 10 From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Lin, T., Zhang, Y ., Li, Q., Qi, H., Yi, B., Levine, S., and Malik, J.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model 10 From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Lin, T., Zhang, Y ., Li, Q., Qi, H., Yi, B., Levine, S., and Malik, J
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.262599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf497a9b-e28d-4e57-bb2a-4a0c1a9dc739 · outbound
This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.339954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56913f0b-eeba-4508-bc15-9c168cd73f55 · outbound
This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model FAST: Efficient Action Tokenization for Vision-Language-Action Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.310840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aabec67e-ffff-4845-b570-e94cc08d353b · outbound
This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.255600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b587474c-e797-4f3d-ab87-d06a0091dcf7 · outbound
This paper cites Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.258837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 775e8523-e2fb-43b7-b40c-e6264aac3d29 · outbound
This paper cites Hats: Hardness-aware trajectory syn- thesis for gui agents.arXiv preprint arXiv:2603.12138.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Hats: Hardness-aware trajectory syn- thesis for gui agents.arXiv preprint arXiv:2603.12138
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.328683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b3b9ec32-92ec-413f-b0d7-894cd808009d · outbound
This paper cites MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.250065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b097ac1-bc3f-4f23-9af9-adcdf580fa00 · outbound
This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.242954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b45b1ea2-afc0-4140-a249-687f7ee2fdc2 · outbound
This paper cites ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.253115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 16baf14c-cdb9-43d9-bd1a-24cc032789b7 · outbound
This paper cites Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.246432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d7a5fd1e-bd22-4e94-bdcd-8398898ae269 · outbound
This paper cites VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.265667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5532b8f5-0744-4180-bb16-5e52412c8bd7 · outbound
This paper cites Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.269682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11ad7e9d-a6ed-4f93-acc6-ef0e6cf19d17 · outbound
This paper cites Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.334615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 390260fa-235b-4580-8657-fae872950668 · outbound
This paper cites RoboSSM: Scalable In-context Imitation Learning via State-Space Models.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model RoboSSM: Scalable In-context Imitation Learning via State-Space Models
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T16:54:58.298368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 39d1ad7d-3f52-4139-b1a4-414c8556d667 · outbound
This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:54:58.289934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d45834e8-781a-4585-a3e2-d40fe382e7bb · outbound
This paper cites UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:58.304885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05d4939f-8b83-404d-8912-30cd78ec3e9e · outbound
This paper cites an unresolved cited work.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T11:54:52.451863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f810584-b1c2-4893-9e78-57952f622fb8 · outbound
This paper cites an unresolved cited work.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T11:54:52.455419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57ef0521-44ea-44c7-90a3-3085e62cc4fc · outbound
This paper cites MAP-VLA(Li et al., 2025c) further reduces fragment inconsistency through stage-wise segmentation and alignment.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model MAP-VLA(Li et al., 2025c) further reduces fragment inconsistency through stage-wise segmentation and alignment
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T11:54:52.448421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3218a125-65eb-4a2c-9548-4532cf40b97e · outbound
This paper cites Recent VLAs(Black et al., 2025; Black et al.; Shukor et al.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model Recent VLAs(Black et al., 2025; Black et al.; Shukor et al
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T11:54:52.442343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6fdffb18-654a-4066-a183-d73e451a2893 · outbound
This paper cites distribution shift.
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model distribution shift
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T11:54:52.445113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.