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Paper Citation Record · LEDGER

Leveraging OS-Level Primitives for Robotic Action Management

As of 7 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=sha256:2ec12f50261e82f6688b8a1872e5283371fd390da1edfbccb984ed247e050d8e

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

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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:dfc550a3125cd29e6886d5fa4551fb9c7c7781cdf1dfbcbf6f2f2fe6ffdeec52

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=sha256:7965e36440a727c9d9af156a37d972b84f9e279a11413a0614bf9a45b574ec3b

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=sha256:60cfaa0410c11982dd0a8087dd452cfff8fcd6b8e0417ac83f70cad78fe2265a

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:c875a35758dce818532bc422413389cd5d57217a598b612f9848dece5d8163ff

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=sha256:0e672ab1242723ad3ed72bbc921c672267db208ac0992396086859ce619fc72c

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:c5bb3b6d9e990bdeed87eace321281ba526859330f43bf0b2cdd2a1307cb3285

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=sha256:398514f963318190b8c35c569419097878dce6535f2b532a4fc87f23631bb3aa

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:f4089bc37eff0d9ac8b448a9ef0fa77c01e1e2d3fcdb809072d4b4c933c929c3

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:fa2b792b8523028022afa0f3662d51b9f40cc95b775bdf60ac3c559639745f0b

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=sha256:8989e69bcdfe7d527319700cb010d9baeb43d0694eade006ab8e73eb5ff4d887

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:c2b3fad5df21568c37f585714dbbd38c8f9bdf1c097a048473d25604cbc8e00d

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=sha256:0776bf40f86f82576372e34a5359c360e51a4247d8623da35959cfd13e9c4ff5

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:b8970366179b2a419e7e31aca6d1fc9753713a664bd9d8ce37b8b3bc834dc2f2

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=sha256:492e9687492fd576cb3e311c882b90935c4dadd3d4ca384c5bcc19af11206257

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:b43315b96b6add4d68acf676c47c39a25531f0715c72d4441918cd89ea7c230f

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=sha256:820e319644d244cfa1741635f216b2c0494e11ed5a5397fca59b6e8d9cde37ca

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=sha256:3c3ed71b10eb99958a74bb3186656e44ffbcdbb78066def0a3441bb49cb68ada

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=sha256:6272e094cafc544a4628bdef2e1f0f0c3a6b4ea1a5f7d8881b3fb713128b2137

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=sha256:5fd0db750bb861f18f68fd84c9878ff7f4ea0259ad428ca00559d23765c3cceb

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=sha256:922afd98cff55eea785795d94202f7dec1b500f44b3579832c431cf94290c80e

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=sha256:63f4f9eecbcc5024d18aefc7b1b81ae14e6fe7fb6ec94d2bbd55cf346350f9f7

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=sha256:9581ee2a7eba79d9309322767bb193482101b8795c41da1b971d876e803c94ec

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=sha256:004c4edafe9a35ac25c7e262e0dd2d6dfb95f612af321a288ebb021bbcee2538

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:e3830c687a7073b6868d09652ac9605149d200e3b6a7abceb9ff8da5f64c860a

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

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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=sha256:7c84349eb6b033be77ed4b6fdc185cabd85026a4c81b4db49ed6e9649d89b607

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=sha256:02e8ccc85c99a22f7dbccf9954e31cf0e12284a1c113c557609262bdc687b20b

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:fe658d50bb8f06663e2433340d346a62d56379cdda5541e33659ee947ce30f34

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

Resolution
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:b1a960aafb63b57e6d7f8c9f63a509e933ab7e42e0eb62ac6a7d746de8bde12a

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=sha256:6983fe75968d4e67eeb7c5d2b4c475aa17219888a58aeab83039e8d3a51fdc18

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=sha256:6921073b05fd1938be703e622af4f2467159b38fd1b344f42fe2fa39f1881d93

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=sha256:6c6037344763bacdaeafb854ced2a460a6c00c9c75c388b82c017f077d6d4735

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

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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:f196993fc07b0d58484673c778c0432305924bef4439804715a698102d376588

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=sha256:787afa154735a3b95f36dde1c43a701c3ef73804bf45c1d8f610ec5827e1412e

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:e849e12f7d4c16f4f6b05cd9e27070fa5cacadcc65989f48654af881a6df362a

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=sha256:40d0402bc30e63d7ca8dbb8334848a3198004f64232c7fcf0808de1ba43b608e

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=sha256:76e5ba1214866e1635351d3491cb65f1080987552eada5d581872ee98f9c4a29

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=sha256:5c9cabd41601e85850b3f6d467381adc39458737d323e446f3e54598302d4efa

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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source=pdf_text observed=2026-08-05T20:38:42.077717Z digest=sha256:f059e46e7238a182efad68171c9137fdf44c94b1b2ab701c88c982ce3d229332

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=sha256:93b1e3bcc5b5aa3a0ce80d5c5dda60f01d8c4c5628923c8064f7aa5e5f90a845

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=sha256:0922f6c5481245cf8137911a03b36b45f1e3d67cae192d6b603af95dd4fe13f9

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:d99579e3fd238abb4602a1e160adb604f27881a991279d2d174f1ab712aecc08

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=sha256:0ab8b4b8bb26d7ec14f03f8882224b5085b74c4a32ee5d07059bd7de918ed45d

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:b77af81ac2a4aef28c554ae8501decd8c8b15b71e8d015f764a3240c3a981c48

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=sha256:0f9588ba34427023fdb70c7e36f5fced501d855c2f8be7e47bc37d9be54d8ad5

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=sha256:90d02f458c3216ce8754748abca80ce9fd494ad19e2d8b8210f7b8cd96415169

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=sha256:35e023b3553e418b6438a98d5c22b31f1b4ae154ec78d5e7559aec36cf3d23e0

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=sha256:90bde08d04a684743dcceb8bfedc52c14352488423031ab8b48eaba6a7cd979e

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=sha256:3eaa702569e1a96620d53b198134e70dd922f6677599454cdd0d77d292cfc141

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=sha256:7e6210745a961db8ffaf75d4b287a71ab0a3494761969bc36d20e49c3aa80e9a

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=sha256:7a1832a128e671e39efbe17e4267ef9a6c26b118dfc33d36de4484071fde4771

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=sha256:6a0995908dc66d494b881905dffff56005fcc8eb9d42f643b4f5eb8eb3bfbc10

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=sha256:8531abad154635e9a7ec1682f8234ec25a586a3e1b8ede63aff9beb4e9ac609c

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=sha256:9054cb6f859ef67018fcff4aa5492cf60af97937c0699a484640aab672aace90

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=sha256:256dc34a913d1249ceb8ca563c4b69673bdf05d3e48e7593054b7edbe8c6200a

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=sha256:869f61e82fb9fa79a0422ef05c20737c89f6ac5e04a94028cd7112161fdc1ea5

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:f498a44aec2d872da958b1c69d1fe1d205dcddfefd30e766fde406c019b89880

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=sha256:30e654966acf8d9b065702f7b4dfc17df8e665f25e0b6a7bf4ab9523e90f875a

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=sha256:0b07d79285ab24f08af05e05fb004e7257d2db514d37c64a1321c0ed35b462ab

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=sha256:6636af0881277d43b6fccae78e44b223ad59264fc5afaaacc80f7b976f084890

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=sha256:89bced52f40b450df0b7b0200e78eb00a011ef3e77e84be2cdbaf36c308f94a0

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:c60cf3281aa89f778fffbd8462e1c69d39ed34563663b74ef6c1cfcd79eb4b70

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:f09058060e7328d894a5456a439c04ed8dd68d14d4f9bcfdb50ab7f96235266d

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=sha256:099e62017eda85f29ad8c200a30d01233978a241fd8e7e411532c55a936b3a45

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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no resolver link, observed 2026-08-05T20:38:45.276998Z

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source=pdf_text observed=2026-08-05T20:38:45.276998Z digest=sha256:ed2816e36930987dbbb4374a7111dc86e9ee5b5e09a3c4b0cff614a3ae848377

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=sha256:8ab25b4787a9bc2b5c084d816978211758911b685f61177ac6031224cba72097

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=pdf_text observed=2026-08-05T20:38:45.491893Z digest=sha256:6d71161102e3cbc0ac7a9bbb8ef07175022d52d8536e07ae4203f5b354f49ac6

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:de9aa92df0f24007fd712dcb9c1db9a31503510b9672ac92ece464e55699c2fd

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=sha256:6b096efd4057fccbe720a34536cd4cac73199c6d8b83efebb2cdbd046d4d82e4

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=sha256:763fb0afac75912c80ad221b85dad44be53453aae150bc3e8e37c39543bf6954

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=pdf_text observed=2026-08-05T20:38:46.042397Z digest=sha256:a04db9a73f6758bdcca089f7879f39e03d02a7ca3a112fd2fdfd6532465a4f22

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=pdf_text observed=2026-08-05T20:38:46.172519Z digest=sha256:702471817c867a7a4927d09eec73ef51cd729ab6d2cc84cbdc95122fc7491306

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-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:45.377245Z digest=sha256:2639816618b6e06fb06e973a5ac277b7feccd3ca408ea5966a9e965cf07efba1

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=sha256:1426d6123c1d6c480411e22af1d5549174e913ca726fc3fca9beb7a1155f8a97

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=sha256:944609b14f3f07a865960701b73dccf8337d5e0512304f2060d430a5e6218d29

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=pdf_text observed=2026-08-05T20:38:45.967218Z digest=sha256:79c820a6a015a9f75e8c0b0a5bc97392be88c1a21a452a1cfe97979cb5e6b24d

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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source=pdf_text observed=2026-08-05T20:38:46.276434Z digest=sha256:39bd48bd3b57bb469c84b3958c111f55d6b65412fe67a8b5bc98db396ee35568

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

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source=pdf_text observed=2026-08-05T20:38:41.126444Z digest=sha256:dd815e6fdb1d401c640b9eb1bff222ebe1736e77a10931c9ad14bf0ac7a6bca5

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=sha256:1bdc51116dad33809619beae78d3c1f7ed9ea9ebc0b3a2bb259f4bf085434d29

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=sha256:8dc00a9cfed94cb9c54f9f156fb2d38902a7266ed830d842f907dd2afad66350

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=sha256:1ea20f3030c648024cd0ea900f6d750cc1d6f3f8822f3da6412415c3eb8f2b6f

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:e7106beaac2e660bcb7ef20356bd6d75481a8022f2bdbe926eb7e465dfad9f8f

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=sha256:5327e9d13d4246cdd8173b64e2f60113efa23ad89ec6fbd15d474ddc72796fa7

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=sha256:9b847af2be63d1296caddedbf2432938b126c30cad610f31b5e633ab2c58bdfb