Paper Citation Record · LEDGER

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2602.06575.

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

pith.paper-citation-record.v1
2602.06575 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:56:05.890768Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T01:01:44.122151Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:07:27.134549Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e79c0e1f-5ab5-4967-bf62-3c2d1efe2343 · outbound

This paper cites write newline.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:03.390527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca558d04-ed66-414f-9d4e-36c09a6f5fe3 · outbound

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

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:03.534148Z

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Unavailable: canonical work link unavailable.

Observation 866479ce-3577-489f-b0ec-00297cb223a3 · outbound

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

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:03.641804Z

Source-reported events for the cited work

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Observation ce5024b7-fe2a-47fe-90ea-ebddaf07717a · outbound

This paper cites R., Finn, C., Kumar, A., and Levine, S.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies R., Finn, C., Kumar, A., and Levine, S

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:03.742124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a02d83f-7c01-4b53-8c32-d1abd795b7eb · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Diffusion policy: Visuomotor policy learning via action diffusion

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:03.850627Z

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Observation df2cc7c7-9f52-487f-90cd-13cfab484e06 · outbound

This paper cites The Ingredients for Robotic Diffusion Transformers.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies The Ingredients for Robotic Diffusion Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:03.958826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eacf72c-5def-46fe-b13f-20757e186e7d · outbound

This paper cites U., Akram, W., Saoud, L.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies U., Akram, W., Saoud, L

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.064798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fea78ca6-3221-45b2-8b6f-f2d5b3c5c48a · outbound

This paper cites Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.120185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b205a8-ea66-405b-94bf-339714a66c7e · outbound

This paper cites Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.228948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4026ade-74dc-4276-8eaf-1bf3f6496f0c · outbound

This paper cites Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.338230Z

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Observation cfd835a7-5f16-4087-a785-e8ed73593688 · outbound

This paper cites Video prediction policy: A generalist robot policy with predictive visual representations.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Video prediction policy: A generalist robot policy with predictive visual representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.397799Z

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Observation 90fb4eaf-421f-4151-95a3-dd0dd3999e1c · outbound

This paper cites Otter: A vision-language-action model with text-aware visual feature extraction.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Otter: A vision-language-action model with text-aware visual feature extraction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.501586Z

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Observation 822fa9cc-27c0-42aa-804c-b12f3cc2c5b0 · outbound

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

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.604747Z

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Observation 68cc964f-af0e-415a-acf5-9449d98324b9 · outbound

This paper cites The better you learn, the smarter you prune: Towards efficient vision-language-action models via differentiable token pruning.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies The better you learn, the smarter you prune: Towards efficient vision-language-action models via differentiable token pruning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.715989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b503360-8bb5-4e77-bb98-2bb75e829740 · outbound

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

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.772125Z

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Unavailable: canonical work link unavailable.

Observation ad7a0ac2-e012-4c8d-a8dd-4998de472333 · outbound

This paper cites J., Pertsch, K., Karamcheti, S., Xiao, T., Balakrishna, A., Nair, S., Rafailov, R., Foster, E.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies J., Pertsch, K., Karamcheti, S., Xiao, T., Balakrishna, A., Nair, S., Rafailov, R., Foster, E

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.879074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cb37b32-e59c-4e28-904d-aa6761045a37 · outbound

This paper cites CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.939069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6214642d-950d-46ac-a6d1-7c53307f2485 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:04.993667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fca8ba7-75e2-492c-90b4-926308054eb2 · outbound

This paper cites Vision-Language Foundation Models as Effective Robot Imitators.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Vision-Language Foundation Models as Effective Robot Imitators

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.024414Z

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Unavailable: canonical work link unavailable.

Observation 5c5d9faa-2b20-47fd-883d-0ef0312d7808 · outbound

This paper cites Flow Matching for Generative Modeling.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Flow Matching for Generative Modeling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.083076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6547da2f-54b9-4ce2-a21a-70f92dbd2a79 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Libero: Benchmarking knowledge transfer for lifelong robot learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.142388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3bae6d-825b-4b3f-a816-02c0e955849d · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.199824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a4daf34-bf94-4cfc-9186-dee12cc36bda · outbound

This paper cites and Xie, S.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies and Xie, S

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.315533Z

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Unavailable: canonical work link unavailable.

Observation 82f5e85d-e02a-40d5-a581-3a169114d44e · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Dynamicvit: Efficient vision transformers with dynamic token sparsification

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.379652Z

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Unavailable: canonical work link unavailable.

Observation 15fbe715-5e6c-4768-9716-468af86a2bc5 · outbound

This paper cites Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.396182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e99d5310-da24-401b-bfe8-fdbc90974028 · outbound

This paper cites E., Otto, F., and Lioutikov, R.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies E., Otto, F., and Lioutikov, R

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.459011Z

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Unavailable: canonical work link unavailable.

Observation a4b86630-081a-4e87-b794-675d41d62a52 · outbound

This paper cites TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.496346Z

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Unavailable: canonical work link unavailable.

Observation 54748125-b756-47b8-9bf5-fe9c211be117 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.558783Z

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Observation 87a6f7a6-44de-44f9-8bce-769e41b39213 · outbound

This paper cites Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.618437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537af961-80dc-4af7-90f5-d7c32efc8a9b · outbound

This paper cites Unleashing large-scale video generative pre-training for visual robot manipulation.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Unleashing large-scale video generative pre-training for visual robot manipulation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.689402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf23d8c-a1e1-482a-8f98-b654a88a821d · outbound

This paper cites Deer-vla: Dynamic inference of multimodal large language models for efficient robot execution.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Deer-vla: Dynamic inference of multimodal large language models for efficient robot execution

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.729625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31281768-7a8c-4a6f-8d55-0dd8cdc96c43 · outbound

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

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.890768Z

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Pith citing papers

Observation bc31dfb5-636f-475a-9eb3-7fda664f660e · inbound

When Video Misreads: Closed-Loop Distillation of Reading Heuristics for Exploratory Manipulation Trace QA cites this paper.

When Video Misreads: Closed-Loop Distillation of Reading Heuristics for Exploratory Manipulation Trace QA Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:53.217702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e54940ea-f858-4887-9295-6bd8d2cf92cc · inbound

How Should Vision-Language-Action Models Use Proprioceptive State? cites this paper.

How Should Vision-Language-Action Models Use Proprioceptive State? Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T01:01:44.118690Z

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Observation 8c5ad290-f9e0-4386-bc10-c1d1fc7b6ee2 · inbound

How Should Vision-Language-Action Models Use Proprioceptive State? cites this paper.

How Should Vision-Language-Action Models Use Proprioceptive State? Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T01:01:44.122151Z

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Unavailable: canonical work link unavailable.