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Paper Citation Record · LEDGER

Leveraging OS-Level Primitives for Robotic Action Management

As of 8 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 3 inbound Pith citation observations for arXiv:2508.10259.

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

pith.paper-citation-record.v1
2508.10259 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:38:46.276434Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:27:00.283283Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.373684Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved77
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50c38314-2014-4375-a54e-eff18d80275b · outbound

This paper cites Survey on Vision-Language-Action Models.

Leveraging OS-Level Primitives for Robotic Action Management Survey on Vision-Language-Action Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:38:47.520431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.112359Z digest=sha256:d601bef1a9f953dea51992e477da98874b7426f67c4774038e192f3d4eb98054

Observation ba5700c1-d379-457d-9b22-d536e652a461 · outbound

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

Leveraging OS-Level Primitives for Robotic Action Management $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.197244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.197244Z digest=sha256:1ab089d793d9894dd59941f105e7d2be2f2379d321db7afe23918481ccbc3579

Observation cae663c9-ceef-46cb-8ddc-516ed1e9dc8d · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Leveraging OS-Level Primitives for Robotic Action Management RT-1: Robotics Transformer for Real-World Control at Scale

Reference 3

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unresolved
no resolver link, observed 2026-08-05T20:38:38.305098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.305098Z digest=sha256:92dc347154b8003b475bbaef4c9a7acce7e7a6c76afd872a447dc9b73b07ab35

Observation 45c6faf0-e8f1-4f7a-963f-afdc0de7c27e · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.358185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.358185Z digest=sha256:bd9517528830d002ccc03d962f675ef0a1da34547be3a9d396bfe080fbec03ba

Observation 8c1d614d-5707-49b4-9aab-0480f22bf9a6 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:49.173589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.469328Z digest=sha256:0c49921805aa7f23cbb433b42f8390fcda116099c79e82f6862efb68c3d5dafd

Observation 3b09ff90-3f49-4f79-bc99-878ab5d09370 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:49.047796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.534384Z digest=sha256:f9c7383970fc2eb48cea4cfc63d09a17b0589ab5cc72cdc717bf6b23ea44e5fa

Observation 43674fde-3ad9-4853-b1ae-3dd2d8616ea4 · outbound

This paper cites PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.620498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.620498Z digest=sha256:4e7dd02409a3670ead0a17ea2741ab9acce5ec0d09f0967a0fa346297d1cfe87

Observation 75c3b04c-bfeb-49f9-acab-b9a942315360 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.773424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.658604Z digest=sha256:46662cbf221d86feb3e4ba991260affc578178a0490fed8ee5feb86d62690d00

Observation 8a647b8e-5a2a-4d68-a50e-0c29797d0541 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.609461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.725085Z digest=sha256:ce302d4f4cad19355d50be83abb35b2d26463992f18b03fbab9f133139d4fc15

Observation d7c7fbfe-b78c-4747-8478-17e2e47e1e4b · outbound

This paper cites Redefining Robot Generalization Through Interactive Intelligence.

Leveraging OS-Level Primitives for Robotic Action Management Redefining Robot Generalization Through Interactive Intelligence

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:38:47.114463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.856590Z digest=sha256:c320adc396bb855d02496dbc163cf21c0e0a288a2e6e8c06c5e6ddb3cce1cd8a

Observation fb76f9a9-17b2-4f90-b093-99e08d4f52f6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Leveraging OS-Level Primitives for Robotic Action Management An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.923186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.923186Z digest=sha256:9830237cd2c83ffea2d778de82bdcd4fe2eb201f3675deefac29a8d9ee944f8b

Observation 44adf594-0876-4287-bf5a-e3496a99d87f · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.208702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:39.013896Z digest=sha256:f67eccf664ba84cfd0a7902d69cf35563a8728bf833e6dec9b208214762e1ddb

Observation c992e6bd-060c-426c-ba95-d001f488074b · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:47.886733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:39.139114Z digest=sha256:b4e5451992e88da7c723fc64f3bb4ecc32ba8e1681d697e3e53c9945dc94c44a

Observation 1a051527-a39c-4b26-a738-5f2f70742715 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.207842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.207842Z digest=sha256:b618ef711a88f37b4f397e77d7fc8a3d09323a79839cad4f0f33ac0060d59eba

Observation dfe816bc-fd71-4428-a8e2-53df9beca94e · outbound

This paper cites In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Leveraging OS-Level Primitives for Robotic Action Management In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:38:48.032783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:39.088147Z digest=sha256:aee5f6b989efa1f6cf6c3ccd2119b564e8af96f1687b417231d6d8ec058bd783

Observation d8d751b2-fc5c-4fbf-8159-3cefec194abb · outbound

This paper cites AgentRefine: Enhancing Agent Generalization through Refinement Tuning.

Leveraging OS-Level Primitives for Robotic Action Management AgentRefine: Enhancing Agent Generalization through Refinement Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.405045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.405045Z digest=sha256:e9b03227eb6b6769f11db0c015a25756c8ca6621f3357801a2482557cc804d34

Observation b802b9b0-a499-410a-bee5-02d954e23967 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

Leveraging OS-Level Primitives for Robotic Action Management Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.493269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.493269Z digest=sha256:9710f5c264551f14acf32baea55f3bcac89e84242f20a7763b4d9a9c4d77b58d

Observation fc9e761e-7607-4874-bb17-91c0fdba6572 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.310656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.310656Z digest=sha256:82949cd8a7c7da85dd10b68ce8fd5b43adea39522a4eaec0fb72cbc9674ad89f

Observation 93bd19d0-3cf2-459d-b405-cd1f5ad31ab5 · outbound

This paper cites Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.577431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.577431Z digest=sha256:c1e0f15970d857e17819229bc0e5ab5741cadcef5c943881b3ef485183de76d0

Observation a7fe4daa-d1b3-4bf5-835d-fea0c1e5b40c · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.632478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.632478Z digest=sha256:b7e0bdf47c7b035bd26f51a49b8f7d236c4df7a93ef913cd0887199a037a91a3

Observation 9a1db8d8-463f-40cc-be6a-dff35ec6d414 · outbound

This paper cites One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers.

Leveraging OS-Level Primitives for Robotic Action Management One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.538416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.538416Z digest=sha256:b0add2243b73926d5a0ecd59b844f9be33d549713d74e6aff45ff2165af448c1

Observation 007bf13f-9e7e-40c3-9a18-5e361ad75748 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.894484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.894484Z digest=sha256:73b8fca236817501cdb7c81fc2b24fe54ffc58e1e876458b74e984fb00e3b04e

Observation cd37d08d-cc3e-430e-9226-c59979728f02 · outbound

This paper cites Improving Vision-Language-Action Model with Online Reinforcement Learning.

Leveraging OS-Level Primitives for Robotic Action Management Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.022379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.022379Z digest=sha256:c4f8e79995ec2885d3bef8e3bdd1119ad501d88e3371c81bf552cf52e422de4c

Observation 986f786c-eaff-41b2-9b45-80bec223df29 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Leveraging OS-Level Primitives for Robotic Action Management Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.765439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.765439Z digest=sha256:ce505ce04734d538bf11c4f10e388c3cd1d671bd82bd5efd1fb8a86420abdd67

Observation 77f6fd8f-3d92-47dc-981a-a7cbc7c3b8b9 · outbound

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

Leveraging OS-Level Primitives for Robotic Action Management Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.247428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.247428Z digest=sha256:99860b5bcb20af4bc95117c06a03aff386f9cbddad97ac47a72697d2db129388

Observation 24ecbe40-dbd9-422c-8377-a3235c9407a2 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.387235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.387235Z digest=sha256:7e942a1d0cf6dbdd0d3942f28d89eff0f9ad9e6bb35098704fc59132166442c8

Observation ffdcf982-a7bd-45a5-b661-9ff456edd092 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.138135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.138135Z digest=sha256:1e7d64dd9ffd0ba0d1561c2566406fec2df3547de2383ad0fe073a15f7b03687

Observation 745c3dd1-4091-4cff-bdcb-de0541cdedf8 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.599533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.599533Z digest=sha256:ad10dd42caf80333af7c3c206dc20296738bbbd6a8a15a2502c065a126fa9401

Observation f16655d5-d93c-4fca-8c62-7c70758c6061 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 29

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unresolved
no resolver link, observed 2026-08-05T20:38:40.762546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.762546Z digest=sha256:2531254d162999ce71c3e39aef2e0bc063917bcc2bd6de945dfd16464265c4d1

Observation c5dd2cf2-b8d7-45d0-be65-549f5cd14ec3 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.497683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.497683Z digest=sha256:13910780b3a91a4f6f99788bad9b6ac9a6447a6aaaf43a62a72251f2999323e9

Observation 2f2b571a-d2e4-436e-a42d-730c70eedb89 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.011530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.011530Z digest=sha256:84fd11bb01307c0984f24c628a7fea49683596ad05c2cc14b48a86aa698d6cf5

Observation 70e88230-7760-4ce3-a249-b66835c78e85 · outbound

This paper cites A Survey on Vision Autoregressive Model.

Leveraging OS-Level Primitives for Robotic Action Management A Survey on Vision Autoregressive Model

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.253154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.253154Z digest=sha256:42ae1b8a0eacc35a7e09d2916b24b50c79b9c1a1bdf26cb053a5d2e73ac1b4dd

Observation a44a4463-2bec-40ce-9418-4091858b836c · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.867223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.867223Z digest=sha256:e58ce7744870776bece95a1a7187d4cd93d93cb9621200bcf83aa92bcdcd8fc8

Observation 33912d29-07c8-4efc-9040-21dc57d0d518 · outbound

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

Leveraging OS-Level Primitives for Robotic Action Management Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.636141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.636141Z digest=sha256:01244b2fc3634497a3f4c30505fd3bbeaa90fdd7a07dfd670ef4671a27bde991

Observation 3b853cf1-eac7-4905-922f-a42a17d648a4 · outbound

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

Leveraging OS-Level Primitives for Robotic Action Management OpenVLA: An Open-Source Vision-Language-Action Model

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.695214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.695214Z digest=sha256:c12056e86b3ef284c6a047d17e2871252052dd37367346c0b442fe55fec9475c

Observation a2f01aa1-124b-4904-bbf7-3c9da6d13da6 · outbound

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

Leveraging OS-Level Primitives for Robotic Action Management CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.794200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.794200Z digest=sha256:c94b5d655ac1b7cf7851ec21873c4f8c6b8840b06eec53af7573742a9820c9e6

Observation d699b865-8c1d-44f1-a9ba-d9af2149e50a · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.388738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.388738Z digest=sha256:4032bec04ccc2c71013bf7cd4fb7e7ce488fc336ec774814afb0e1c3515bc30b

Observation 820bb12e-1f65-4484-be89-d4cdcccc75e4 · outbound

This paper cites LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

Leveraging OS-Level Primitives for Robotic Action Management LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:42.017846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:42.017846Z digest=sha256:d61d75cce564b798103f7564e69607abf2400bd529d65c96cd23b0ff3d7570c6

Observation 0d02f691-cd69-43b9-8954-4caf59dba4b9 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 39

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Observation f87158a1-f677-4968-b133-29369c1328eb · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-05T20:38:42.143723Z digest=sha256:430d313dd23c16399a6ec351fde238dfe98a8d53e950fb1c08215d229b341024

Observation b3fcf994-e460-4f42-8240-76962e492f26 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-05T20:38:42.249224Z digest=sha256:6b3c32fdedd81c376cc697e8b2506ef81b3c0574b38d0b4c67b65dc4ea7669ed

Observation c8c39f14-9d8a-49cd-9fac-a13b11c827de · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

Leveraging OS-Level Primitives for Robotic Action Management Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 42

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source=pdf_text observed=2026-08-05T20:38:41.925978Z digest=sha256:822d1c715d0e7ff54460c1640b1669ab7c21c712e468bad9facb2c7fbaaf4c0d

Observation 9ac588ec-41f8-463c-b169-d42630ca8290 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-05T20:38:42.425567Z digest=sha256:9b1a9248e78214a6c243be0a0a61902e2047ff58c6aee7b580df6a1e3ff1e249

Observation 2e05edd1-ed97-436a-9103-b6ecdc6d47dc · outbound

This paper cites Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers.

Leveraging OS-Level Primitives for Robotic Action Management Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers

Reference 44

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source=pdf_text observed=2026-08-05T20:38:42.534531Z digest=sha256:a2f3914f952477ba88549e3bceb98b81f16f12b20191852c92d488cc65aa6ec7

Observation 95fa8c72-bec5-400d-ba15-c5c5c97d9549 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-05T20:38:42.655252Z digest=sha256:8c94d7b78f90b0be9bb298369cf0cccc919a728947277c4b2d7c07b743ee0cfe

Observation 52a0cf88-eec8-4645-b428-aa74942be16b · outbound

This paper cites Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control.

Leveraging OS-Level Primitives for Robotic Action Management Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 46

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source=pdf_text observed=2026-08-05T20:38:42.813346Z digest=sha256:b41f5f18a00f4c3a09e3db0dc9a31efc7e0dddd3d38f9a2c4236909bc3f521fe

Observation 1272386a-855e-4b88-b10d-489b933db069 · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 47

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source=pdf_text observed=2026-08-05T20:38:42.321331Z digest=sha256:db137f50d9bdec2d96050336597b51624ce046349dcf1a2ba17c3699787a9473

Observation 75d4bb18-9588-470a-a7e5-0b9377686ee4 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Leveraging OS-Level Primitives for Robotic Action Management Learning Transferable Visual Models From Natural Language Supervision

Reference 48

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source=pdf_text observed=2026-08-05T20:38:43.083639Z digest=sha256:2229423301042962adda3c5fd1d7fe93693c87c5bc49a3dfcf24af115372e894

Observation 7d12d85b-5dd0-459e-88a9-bfdd02fd64ba · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-05T20:38:43.203247Z digest=sha256:9e04e7b08555991a2199e2e3030bc85e8387bfbe43268a84f00b25e7483c745c

Observation 5728d345-d218-4280-a44c-773b3a1f2be8 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-05T20:38:43.357937Z digest=sha256:4aab4d92c9f7660d9b7807421d9f7f8263ad5036869bb56dfc3755d557a38cb5

Observation 386c7420-4f95-4adc-97e8-7b7c1d36ada8 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-05T20:38:43.439070Z digest=sha256:bb133d84bc69eccdd9e50473840d185055d091d208a44217dadefba000116d12

Observation bd557c63-484d-40f1-856b-a2b5012b244e · outbound

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

Leveraging OS-Level Primitives for Robotic Action Management FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 52

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source=pdf_text observed=2026-08-05T20:38:42.966861Z digest=sha256:01a19c6d2da5b3b3e0da4c7622a0f31ac6a22d8b9af19f73fc8d7f85165ec5a0

Observation 1015588b-02ed-40d5-a95d-9be60b4d86fe · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Leveraging OS-Level Primitives for Robotic Action Management ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 53

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source=pdf_text observed=2026-08-05T20:38:43.638906Z digest=sha256:fbed7ec3da93a829592487722b9528a1309eabb1839886691d007cdb0e605f7b

Observation b7f7b9fa-5d51-45b9-98d6-6e6aa52a8361 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-05T20:38:43.743226Z digest=sha256:64378be7d4c0aa26161526a6a6c50b580fd26299fe141fd226843a143b0ab801

Observation b134b103-e6b7-425c-819e-ac29f509b00c · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Leveraging OS-Level Primitives for Robotic Action Management Octo: An Open-Source Generalist Robot Policy

Reference 55

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source=pdf_text observed=2026-08-05T20:38:43.846738Z digest=sha256:179799f6530bdee4308c5086b9f13c869538fc951b0054eeacfd3757c14e2d9f

Observation 304e3ec0-ff3c-44d2-9e85-ad62d2c97001 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-05T20:38:43.957961Z digest=sha256:e1a7b3037a396e1086da4234a6ac54999f39069f45f2c3d2a65412d714a487ea

Observation 26e4bcff-2705-41f4-b00e-fdb115277c2b · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-05T20:38:43.531085Z digest=sha256:f4960c8badac7c416b900b0fb41f1b75b0451f930fa8328a63059a170ad68482

Observation 83c5a31c-4149-44ed-9ab1-7fc09e8e59a0 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-05T20:38:44.353995Z digest=sha256:9fd11182aaa28e1f7cda78b97a51266c0df6f6dbed022ed9b93f158ddbd2fbd7

Observation 1fbf6ea0-7cd8-4b81-bfe3-a393024238ea · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-05T20:38:44.476870Z digest=sha256:0e69db0e06321a988bb990779d03e2aa588a328868923edbd32df77c60daf7ad

Observation b9ba422a-1e65-40e7-b072-79bba00e6826 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-05T20:38:44.681192Z digest=sha256:c6f935ca3c062a6b488ac84709d137e11e9dd96c956fa6cd1799ea00d9f34bab

Observation 7643122c-21f4-45fc-a5d1-d0bc85b18338 · outbound

This paper cites Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective.

Leveraging OS-Level Primitives for Robotic Action Management Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective

Reference 61

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source=pdf_text observed=2026-08-05T20:38:44.784210Z digest=sha256:0267d75ff546a527193fcf1abbe4212502e9d3cf773503882c5d6f2d27354e80

Observation 4a80da1b-09dc-400d-b817-543ccf1ad32d · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-05T20:38:44.130780Z digest=sha256:2a9d4b0cc8e977453a7ac055fb2438bb99278bd475586ceb01fcda527b108d3b

Observation 1bd6b839-6ce0-4d8e-92d6-093f9ec6d4b6 · outbound

This paper cites Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning.

Leveraging OS-Level Primitives for Robotic Action Management Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning

Reference 63

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source=pdf_text observed=2026-08-05T20:38:44.250854Z digest=sha256:bfdcc8f4f284c1678e1841ce1931222b1100f953ce4a0e54e2be5bd37b9b5297

Observation c0c610fc-ea36-40ea-bb7c-239d60ef6522 · outbound

This paper cites HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid.

Leveraging OS-Level Primitives for Robotic Action Management HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid

Reference 64

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source=pdf_text observed=2026-08-05T20:38:45.155081Z digest=sha256:ca418add6fe6d9cbb4933a63eaf7b15876177ceee9df2d837b778cb92a178532

Observation 027fc10b-ebc0-4df9-bfe8-a296145a0a7f · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-05T20:38:45.276998Z digest=sha256:4620d283b2e4781afb25a5c30eb6883edf2f1f68b9028a9bdd52890dfb0b374b

Observation c0e4b8d7-a301-417f-ad29-5cfb7f241b84 · outbound

This paper cites RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 66

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source=pdf_text observed=2026-08-05T20:38:44.557708Z digest=sha256:d14cc4d175796fd5889c90a14cf462fd14cb57d1057f24957755bd12263cd376

Observation 13d393e9-8b69-4fe8-8a73-c3a3660eb217 · outbound

This paper cites UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent.

Leveraging OS-Level Primitives for Robotic Action Management UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent

Reference 67

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:45.491893Z digest=sha256:78a17ac8423a5566c0b788ad55d69400510074a2b82b16ff8e746047df3e3276

Observation fca05ce9-c2d2-4ebf-9115-03fa26e61ee4 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-05T20:38:45.636988Z digest=sha256:ee05a7ecaaadc57781543f8fc3350fdb38888215e01e98befd147c0d81590d86

Observation b8a50294-3d51-4ab8-b6ae-ac7158af8ec7 · outbound

This paper cites Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement.

Leveraging OS-Level Primitives for Robotic Action Management Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 69

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source=pdf_text observed=2026-08-05T20:38:44.914638Z digest=sha256:c68a3ecbcf9106dad45701d3b5ff0798f9db00073d8cfb392c0f22e43e58acde

Observation 136ced27-d24b-4806-a4e2-d43f97abf084 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-05T20:38:45.037874Z digest=sha256:d3135f22f90c926ace383e1e6b43e692a443d12a7c70a35c6b146ea44110291a

Observation ca899ae1-df83-4996-82ac-28983b243fd4 · outbound

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

Leveraging OS-Level Primitives for Robotic Action Management Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 71

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:46.042397Z digest=sha256:df83bab4f81f0f1d338cf18862035acd87b1db2358f9151452ed23b4712e5a80

Observation 48d32bb1-d4b4-4f6f-b9e2-df1fdf276c30 · outbound

This paper cites Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.

Leveraging OS-Level Primitives for Robotic Action Management Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation

Reference 72

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:46.172519Z digest=sha256:1c6e4464577a00a9e4fbf475b5b98aee63210cbca20aa17bb38ad4a748ed4b41

Observation 05c92e03-3b09-4f49-ac03-105ae0523c23 · outbound

This paper cites Generalizable Humanoid Manipulation with 3D Diffusion Policies.

Leveraging OS-Level Primitives for Robotic Action Management Generalizable Humanoid Manipulation with 3D Diffusion Policies

Reference 73

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source=pdf_text observed=2026-08-05T20:38:45.377245Z digest=sha256:030a1d6e26395ab2c71145ea841476770c13f85de9db6ec31a7f1f6d4d4b681b

Observation 73899475-a3f9-4248-aae6-fe606603b262 · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

Leveraging OS-Level Primitives for Robotic Action Management SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 76

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:45.767775Z digest=sha256:17ce6dc814a7db2ca4b921d5293d9591a10ac9331e065297e0e01b6f63de1770

Observation 98429294-9da8-470d-bcb3-5edc86335c1d · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 77

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:45.885210Z digest=sha256:38545931eae3b9e922d9818967bdd8d64f835bb39299807b61287d0a53e0e732

Observation bdeeba0a-68fa-4185-971b-ddc3d4c22121 · outbound

This paper cites CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.

Leveraging OS-Level Primitives for Robotic Action Management CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Reference 78

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:45.967218Z digest=sha256:585245dbd33b2407120f7e56a70c51bb2f8ba1029405eef4c2031c40386710ef

Observation 2cbb195e-7fb0-4695-8fa5-abad61c589d2 · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

Leveraging OS-Level Primitives for Robotic Action Management 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 81

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no resolver link, observed 2026-08-05T20:38:46.276434Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:46.276434Z digest=sha256:aea14f186430955b8e815442a8df84e63a5c7eae432119667a88238798ea7e1d

Observation 4db4bc76-bff4-4033-bc53-be2a6900b868 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Leveraging OS-Level Primitives for Robotic Action Management Planning with Diffusion for Flexible Behavior Synthesis

Reference 2022

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no resolver link, observed 2026-08-05T20:38:41.126444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.126444Z digest=sha256:58a0f0ec726b7d6c1af1756b7f17804657d912401430d43ad8a8d25d2ab0aa81

Observation be5436a3-f2c3-448e-8a8d-e0f9b2719e5b · outbound

This paper cites PAPRAS: Plug-And-Play Robotic Arm System.

Leveraging OS-Level Primitives for Robotic Action Management PAPRAS: Plug-And-Play Robotic Arm System

Reference 2023

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no resolver link, observed 2026-08-05T20:38:41.512661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.512661Z digest=sha256:40ec8f7086393f2f59c918937eb4abc73f3fd6ad5b2638c35dc95092930d9e72

Observation d3beec0d-b65d-4151-8541-911751692d60 · outbound

This paper cites Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models.

Leveraging OS-Level Primitives for Robotic Action Management Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:38:47.288310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.394363Z digest=sha256:9fa8992fedd5765b86bad214976a548029cdffc807ec51023bb83f649ccd3aca

Observation ffa10a51-5003-4816-bef1-8b677197be74 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.412045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:38:38.789049Z digest=sha256:326e26ee5da88dbfeaeccfe5a30ead28f0a73d7afa1a41c509a6c34b76a25fb5

Pith citing papers

Observation 32701a5b-ac7c-47db-8e8d-dd66df782d4d · inbound

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models cites this paper.

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models Leveraging OS-Level Primitives for Robotic Action Management

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:40:14.514084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T18:39:58.095112Z digest=sha256:7891d0ed73f6d61c675a82e3411ae762fb16991ab5c96d020f76b2d14f8db47c

Observation 63a6509b-005c-4a59-a70b-d1b17c8b8b59 · inbound

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation cites this paper.

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation Leveraging OS-Level Primitives for Robotic Action Management

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.091430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T02:25:23.710842Z digest=sha256:2c5b8cf4b52be04beec359c99c112c6f1cb494ca95b9505a3b8f1f7089b7af07

Observation db8d78d1-161f-4bd9-a994-d6ffd0241b0c · inbound

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models cites this paper.

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models Leveraging OS-Level Primitives for Robotic Action Management

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:09:43.375126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T10:27:00.283283Z digest=sha256:bdf7a3a015417f9305503e2fd1fa9a52ec10974d27c45248b0090433f7536c89