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Paper Citation Record · LEDGER

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.06434.

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

pith.paper-citation-record.v1
2608.06434 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:57.186538Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b8ac8e5-5e60-4646-8e2c-062c225d304a · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 1

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Observation 24055610-e097-462d-a20c-46113355c0d3 · outbound

This paper cites OpenVLA: An open-source vision-language-action model,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection OpenVLA: An open-source vision-language-action model,

Reference 2

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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.

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Observation c2182ab2-d6f4-4e01-9c90-5ed195faa706 · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection PaliGemma: A versatile 3B VLM for transfer

Reference 3

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Observation a462fb4b-e5f4-429e-8836-e63470a39be9 · outbound

This paper cites Prismatic vlms: Investigating the design space of visually- conditioned language models,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Prismatic vlms: Investigating the design space of visually- conditioned language models,

Reference 4

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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.

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Observation 25b9f60c-9ba2-4b52-b42e-b34d1ca85204 · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Bridgedata v2: A dataset for robot learning at scale,

Reference 5

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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.

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Observation 1b88a691-8446-4cdd-a1f0-b78a74d3d435 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0,

Reference 6

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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.

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Observation 1b6610d1-92f5-46a6-be29-b52cdfd96d34 · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Rt-2: Vision- language-action models transfer web knowledge to robotic control,

Reference 7

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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.

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Observation 2eaac3e3-da97-4d58-ba98-6624712c61fe · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 8

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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.

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Observation 6dacd164-f493-4fdc-91e4-dbc1b309435f · outbound

This paper cites Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation,

Reference 9

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raw_fallback, observed 2026-08-10T04:30:57.520807Z

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.

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Observation f61b9e85-b26b-442e-9355-bd06ae258ecb · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6565fd2-ef0d-4c45-b94d-83217c37625a · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 2d03f803-7772-4f22-9479-70c941ca7341 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 12

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source=pdf_text observed=2026-08-10T04:30:57.124809Z digest=sha256:58e4bf577b157c75f11a2813a986f77f8630d8fb2eac58be2ba04f321bc85f7b

Observation 57d8cb51-68c2-4772-93d9-b693fa24c531 · outbound

This paper cites Kahneman,Thinking, fast and slow.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Kahneman,Thinking, fast and slow

Reference 13

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Observation 8096977d-b0d7-4679-a0a5-b0014658544a · outbound

This paper cites A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLM.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLM

Reference 14

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source=pdf_text observed=2026-08-10T04:30:57.132522Z digest=sha256:6153f681dd60582c64585692ceb3fda73287b824089540fb3ae03e57ce598c1e

Observation 4fb6c10c-3c9e-45cf-b318-137f3e3c6e90 · outbound

This paper cites Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning

Reference 15

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Observation 91935d68-daed-4bb7-ab58-d627383df95d · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Learning transferable visual models from natural language supervision,

Reference 16

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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.

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Observation f3827a3e-8029-49c2-9071-fdbd3e27b16d · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection R3M: A Universal Visual Representation for Robot Manipulation

Reference 17

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Observation f960f311-c1a1-485e-bd4f-f0bcccadd1b1 · outbound

This paper cites Where are we in the search for an artificial visual cortex for embodied intelligence?.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Where are we in the search for an artificial visual cortex for embodied intelligence?

Reference 18

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verified fuzzy
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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.

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Observation 2bb9d833-b174-4363-870f-37d0d5bd6e88 · outbound

This paper cites Cliport: What and where pathways for robotic manipulation,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Cliport: What and where pathways for robotic manipulation,

Reference 19

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raw_fallback, observed 2026-08-10T04:30:57.478315Z

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.

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Observation ba061c9c-76b1-4759-9010-afc74091f8da · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 20

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Observation 9dee8705-7a7f-4a47-8077-0bda59ee13a2 · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 21

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Observation af75476d-c011-4073-89e0-bc6234596be2 · outbound

This paper cites HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers

Reference 22

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Observation ebec5335-ad6c-4ee5-9463-f08b3e5a345d · outbound

This paper cites Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 8f680ca6-4195-4ee6-9e03-f551c3fc6cff · outbound

This paper cites Trivla: A triple-system-based unified vision-language-action model with episodic world modeling for general robot control,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Trivla: A triple-system-based unified vision-language-action model with episodic world modeling for general robot control,

Reference 24

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Unavailable: canonical work link unavailable.

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Observation c3761f79-4d71-4820-b142-ab1456f4d407 · outbound

This paper cites Hume: Introducing System-2 Thinking in Visual-Language-Action Model.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Hume: Introducing System-2 Thinking in Visual-Language-Action Model

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:30:57.174397Z digest=sha256:323cf75706d3f0054b976592dcdaf485f4081abfdade1c78ba0bf9381604baa5

Observation 436b722d-1bd8-4bef-bd13-9e8f428bcc77 · outbound

This paper cites Rainbow: Combining improvements in deep reinforce- ment learning,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Rainbow: Combining improvements in deep reinforce- ment learning,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-10T04:30:57.467006Z

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.

source=pdf_text observed=2026-08-10T04:30:57.178319Z digest=sha256:a15b3844beace426f03fe1938117231ffe2c8e1cbb4c810465b56ba639f62da8

Observation 3f466f49-7e8c-4f9e-88e8-9f34a4dc8964 · outbound

This paper cites Offline reinforcement learning with implicit q-learning,.

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Offline reinforcement learning with implicit q-learning,

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 81b1b522-eb53-4a6e-b538-6ecb8ad37dcf · outbound

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

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection Libero: Benchmarking knowledge transfer for lifelong robot learning,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-10T04:30:57.447073Z

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.

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Pith citing papers

No inbound Pith citation observations are available.