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Paper Citation Record · LEDGER

Action Chunk Scheduling for Batched Robot Policy Serving

As of 22 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.00337.

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

pith.paper-citation-record.v1
2608.00337 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:44:27.599246Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e01d59b-cc6b-402a-8e14-228eaf76dc05 · outbound

This paper cites Zitkovich, T.

Action Chunk Scheduling for Batched Robot Policy Serving Zitkovich, T

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:44:24.260935Z digest=sha256:d82a38830cfac08b3eb6a7088d5d618e139fe0ace66596fee6726d62ae49e682

Observation df85bf06-f55e-47bd-8fe3-8866e56f3fd3 · outbound

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

Action Chunk Scheduling for Batched Robot Policy Serving OpenVLA: An Open-Source Vision-Language-Action Model

Reference 2

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source=pdf_text observed=2026-08-04T00:44:24.330777Z digest=sha256:8f4a003e5ceb93a8b7e451e9b727cf9507e115595f2c2cc1995feb64023daa50

Observation 77f86354-9725-4137-aa04-8fd0ef2b116e · outbound

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

Action Chunk Scheduling for Batched Robot Policy Serving $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

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source=pdf_text observed=2026-08-04T00:44:24.406869Z digest=sha256:af1ea5e7ad5f205e5d22c2c4af99ef38ab7e82d5362360f0a41741966f0d6e56

Observation ef455f73-8519-4abb-bd54-e371ef00cb5b · outbound

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

Action Chunk Scheduling for Batched Robot Policy Serving $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 4

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source=pdf_text observed=2026-08-04T00:44:24.462311Z digest=sha256:3009e026f760826d8cc2a6064bc8130cd366be9b0fa7d7620ce5af85e1b9ec03

Observation 06063b09-c946-46ef-a435-6fdf90106a54 · outbound

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

Action Chunk Scheduling for Batched Robot Policy Serving GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 5

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source=pdf_text observed=2026-08-04T00:44:24.517635Z digest=sha256:993f6d6d7cf53995b3d23d7c197111b0e39d35e1a88ff69288fe700527b79961

Observation 76b031b9-b932-44c0-8a40-ce47b4fe4ea6 · outbound

This paper cites Jiang, J.

Action Chunk Scheduling for Batched Robot Policy Serving Jiang, J

Reference 6

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source=pdf_text observed=2026-08-04T00:44:24.597366Z digest=sha256:f621fdc0e30591e80c866a0343625e9bb72ec5eff0986ba0c1322810c722993c

Observation 37b2b50b-a219-4c0e-ab0b-2f3f0e575647 · outbound

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

Action Chunk Scheduling for Batched Robot Policy Serving Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 7

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source=pdf_text observed=2026-08-04T00:44:24.663089Z digest=sha256:72c97a0cac9ea2e145ebbacfd5ba4a39ebc0b58f3978fe7f3735fb2912a767a6

Observation b5258506-d23e-4446-b608-9ec3c8904f92 · outbound

This paper cites Real-Time Execution of Action Chunking Flow Policies.

Action Chunk Scheduling for Batched Robot Policy Serving Real-Time Execution of Action Chunking Flow Policies

Reference 8

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source=pdf_text observed=2026-08-04T00:44:24.744779Z digest=sha256:8624316fc54b8556b615033188370e0dac5c48018c8d29d29c12ec72d9c63a67

Observation 5da8a829-07bb-43e1-b358-649924568bc0 · outbound

This paper cites VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference.

Action Chunk Scheduling for Batched Robot Policy Serving VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Reference 9

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source=pdf_text observed=2026-08-04T00:44:24.827909Z digest=sha256:0cd0f61d50e7063a527198e36e414482139a0467c4ec0c0523bb4c691c3ec555

Observation 7237b97e-9d39-4493-a8ec-78e9c1699473 · outbound

This paper cites Black, A.

Action Chunk Scheduling for Batched Robot Policy Serving Black, A

Reference 10

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source=pdf_text observed=2026-08-04T00:44:24.861876Z digest=sha256:87b58b0e87fefa316b6dff1272c80e022f9136f052417cb3953023ffc07bc6b7

Observation ab8ae17b-813b-4f18-8c37-91a3224871ba · outbound

This paper cites SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.

Action Chunk Scheduling for Batched Robot Policy Serving SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Reference 11

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source=pdf_text observed=2026-08-04T00:44:24.913037Z digest=sha256:df542e7238f0d8757973ec3055b8e71630a38992b90af70232cd0aba5340a23c

Observation ed52ce81-1476-4a87-9671-dabc4ae97fea · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-04T00:44:24.994194Z digest=sha256:08e7f1c0f5d6150d41fede7949c0f141585c928117717f0bde6c75f5d9d55a53

Observation 753275d9-4383-4d69-ae34-41d37c8e5a87 · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-04T00:44:25.038012Z digest=sha256:c5d782ec37d6305bc74e9e4552e24ebfb0981aa6a15c5e73f4470e4bed09dcc0

Observation 5be12519-bea0-415f-86ed-ce602adf2af3 · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-04T00:44:25.112964Z digest=sha256:b69a011f72d46a614f9326ac0a4032dbec1a0505f09dfd4916c8e79452b91f66

Observation 9a25b786-b413-46ba-bb06-a207edca6b2b · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-04T00:44:25.169108Z digest=sha256:bd906b0176d62676b79e900224f105e61f2a4b618f4a6252f1909e51caf9e4b2

Observation da99d736-2461-4e7a-bd47-6b24156e5925 · outbound

This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.

Action Chunk Scheduling for Batched Robot Policy Serving Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 16

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source=pdf_text observed=2026-08-04T00:44:25.209719Z digest=sha256:825778782c6192c8c28a32856b9d12961fdb5786944cb070b7f7b0d98f67e341

Observation 147c91fe-0c4f-43af-9377-ffcb35a16b3d · outbound

This paper cites O’Neill, A.

Action Chunk Scheduling for Batched Robot Policy Serving O’Neill, A

Reference 17

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source=pdf_text observed=2026-08-04T00:44:25.291542Z digest=sha256:09f8f6fa516343d7fa11ead1767fe3fb4576451dc1596a1b2100ed5ec43a9a2c

Observation b1d991ce-7f88-4c86-a9e2-3ebf8af335ec · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Action Chunk Scheduling for Batched Robot Policy Serving DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 18

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source=pdf_text observed=2026-08-04T00:44:25.325563Z digest=sha256:e955c6f611bc5e624cd20d053fa5e510d1436e653eba347a1014af56e1ac9f9f

Observation 6f1e9ec9-bc0e-4324-bf62-b3129cd068e2 · outbound

This paper cites World Action Models are Zero-shot Policies.

Action Chunk Scheduling for Batched Robot Policy Serving World Action Models are Zero-shot Policies

Reference 19

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source=pdf_text observed=2026-08-04T00:44:25.349142Z digest=sha256:bcd36d4361e4b6d2266e1ecaf01a01622693312037fdfb3009f62bae06b9b84a

Observation 74547591-ffd8-4c5d-85a8-59a55fe33727 · outbound

This paper cites RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models.

Action Chunk Scheduling for Batched Robot Policy Serving RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models

Reference 20

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source=pdf_text observed=2026-08-04T00:44:25.466499Z digest=sha256:91ba9dec7d464e3c860cb20b743c77c025092c9ff3f36c26a2e06b994c11dfaf

Observation 02ad3371-3d29-49b6-a26e-c8b22126e78a · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-04T00:44:25.532823Z digest=sha256:7f32b1e5fcc6bd0ae17a82e99410d8f86e095d95fb51c3e8e15dea6b55bf4615

Observation ffec88ae-ca01-4d26-ad12-f6f2eef2cbb7 · outbound

This paper cites Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models.

Action Chunk Scheduling for Batched Robot Policy Serving Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:44:25.684971Z digest=sha256:faa73d358ddcad351538b49b358a4cb5850c318662ec6f17770278312929a06f

Observation 4e6bf73a-1e79-45b7-a366-ad7c58a011fd · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-04T00:44:25.848611Z digest=sha256:8f8e2bafbf0119d02a5eb4b613bf553dcd57613efd4dc92a3007d6324a8d005f

Observation 7405108c-0f30-4d9c-9a55-aa7757dd132f · outbound

This paper cites SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies.

Action Chunk Scheduling for Batched Robot Policy Serving SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies

Reference 24

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source=pdf_text observed=2026-08-04T00:44:25.959123Z digest=sha256:cc40f8e6cf6843ed5e0c64f2ce6804138595afc9bc8f8b2de68963c49395049d

Observation a9b35e1d-cae6-4681-97a5-a935da6c2ebc · outbound

This paper cites Crankshaw, X.

Action Chunk Scheduling for Batched Robot Policy Serving Crankshaw, X

Reference 25

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source=pdf_text observed=2026-08-04T00:44:26.021186Z digest=sha256:2bfa4f024738211a55c3eec6b85244f7a42f905b2c85d3c431ce5aa8cacbd9bd

Observation fdab55ab-f02c-42ec-b9fe-30f390895345 · outbound

This paper cites InferLine: ML Prediction Pipeline Provisioning and Management for Tight Latency Objectives.

Action Chunk Scheduling for Batched Robot Policy Serving InferLine: ML Prediction Pipeline Provisioning and Management for Tight Latency Objectives

Reference 26

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source=pdf_text observed=2026-08-04T00:44:26.116270Z digest=sha256:c20e5b49f3397fa1629aa68ee42834f0a434e6e149a443861e0654d539f28c20

Observation 57023f2d-6c6b-4f95-8b7f-8e1286c1cfa7 · outbound

This paper cites Gujarati, R.

Action Chunk Scheduling for Batched Robot Policy Serving Gujarati, R

Reference 27

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source=pdf_text observed=2026-08-04T00:44:26.243221Z digest=sha256:00b941ab06490153292c8a1a6add6d8ce1bdcc748c38e11bfebf3cad6509da37

Observation f6eaddad-0d24-4c36-9343-42918f6b27d0 · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-04T00:44:26.319813Z digest=sha256:053cdf3ddb82da6f923d0f77da14a5aa44dfddd003ebc94ae57a655eb4e14a27

Observation 232b41a8-dd3c-4622-be39-18a1744f05d3 · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-04T00:44:26.427476Z digest=sha256:82bc79322bc27d90d8d1032adbe70ad18c240213a03458b517ed9359c40c0507

Observation 00e36219-cd36-4387-8fc2-35030e0c14f3 · outbound

This paper cites Zheng, L.

Action Chunk Scheduling for Batched Robot Policy Serving Zheng, L

Reference 30

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source=pdf_text observed=2026-08-04T00:44:26.541611Z digest=sha256:e29b2bd9227c829c6d4372b58263af45c26ca9ee67a8d004593cc54a92c53385

Observation 0d99f1af-5136-4055-9dbd-41c6cfc35a85 · outbound

This paper cites Zhong, S.

Action Chunk Scheduling for Batched Robot Policy Serving Zhong, S

Reference 31

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source=pdf_text observed=2026-08-04T00:44:26.699594Z digest=sha256:c50f1af7813f8ab0edaed2a2fe54e8fad458c4ddb4f3749a6904f0bd4d057a31

Observation eb830ad6-02f3-4944-8a24-d8fa1ee23c86 · outbound

This paper cites an unresolved cited work.

Action Chunk Scheduling for Batched Robot Policy Serving Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-04T00:44:26.815358Z digest=sha256:7c9321d051dde19094663e4be5ee81337094ebbc3afb02a22254a1fc14069318

Observation 5f141fde-80bc-49bf-9da0-7892fb6ef6e0 · outbound

This paper cites Tumanov, T.

Action Chunk Scheduling for Batched Robot Policy Serving Tumanov, T

Reference 33

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source=pdf_text observed=2026-08-04T00:44:26.922419Z digest=sha256:a8b9fc76a91114c90612596db878a8a6b0fdc4b7d607940854ab229ba732977b

Observation b834b7c7-abf1-4002-9a19-d86be63404ad · outbound

This paper cites Narayanan, R.

Action Chunk Scheduling for Batched Robot Policy Serving Narayanan, R

Reference 34

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source=pdf_text observed=2026-08-04T00:44:27.135729Z digest=sha256:974b18d366d5c1d71b33afa2259860fa536535d57f7c6a2f0d3b6269ab2c6888

Observation 70a18376-fb54-4c2a-b1c9-97166e00897c · outbound

This paper cites Kairos: A Scalable Serving System for Physical AI.

Action Chunk Scheduling for Batched Robot Policy Serving Kairos: A Scalable Serving System for Physical AI

Reference 35

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source=pdf_text observed=2026-08-04T00:44:27.245210Z digest=sha256:f336c3b3f100d43b93f7fd4bd2a5bf7f8471ebe317de88ba9ee500a2f198b3e7

Observation 6864c895-dcfc-4446-82d6-df57aa003df5 · outbound

This paper cites ROSA: A Robotics Foundation Model Serving System for Robot Factories.

Action Chunk Scheduling for Batched Robot Policy Serving ROSA: A Robotics Foundation Model Serving System for Robot Factories

Reference 36

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source=pdf_text observed=2026-08-04T00:44:27.431669Z digest=sha256:a081c7c4d9f0bfb6b18354b4fce3e19fa51d2b25b97218daa8161b0f7a828491

Observation 27d65107-3b6e-4fb4-a29e-58ce17238928 · outbound

This paper cites Patel, E.

Action Chunk Scheduling for Batched Robot Policy Serving Patel, E

Reference 37

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malformed identifier
no resolver link, observed 2026-08-04T00:44:27.599246Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:44:27.599246Z digest=sha256:b66aa2f5dede3d1dd9fec4f600bf48ef83fce86e13a34905cb043c64005b14ea

Pith citing papers

No inbound Pith citation observations are available.