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Paper Citation Record · LEDGER

Mixture of Horizons in Action Chunking

As of 12 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 32 inbound Pith citation observations for arXiv:2511.19433.

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

pith.paper-citation-record.v1
2511.19433 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:32:30.338797Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:20:25.061646Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e0dcf9a6-28d2-405d-9267-7cfd94b13c06 · outbound

This paper cites GPT-4 Technical Report.

Mixture of Horizons in Action Chunking GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-03T20:32:25.306391Z digest=sha256:d76f76b1d8591a57a1ec1c1e812fa4a913cc468abea61e5ddf95a676a516f963

Observation f83aef30-84cd-4837-99a3-80ced0b460c6 · outbound

This paper cites Qwen2.5-VL Technical Report.

Mixture of Horizons in Action Chunking Qwen2.5-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-03T20:32:25.356424Z digest=sha256:f8afb1e68cdbb49e1b7ad5d7f94ddf7d69857c1bcc19bf163408aa2a8ca41fdf

Observation 8f910c27-d26b-4a66-bc5c-84ca65ef15f5 · outbound

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

Mixture of Horizons in Action Chunking PaliGemma: A versatile 3B VLM for transfer

Reference 3

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source=pdf_text observed=2026-08-03T20:32:25.453579Z digest=sha256:7dc4cfca0af57f8a1273f07c50906892476f263dca1eebbb7a4b12802f6cb959

Observation d4be69d0-dff7-4b42-8098-0872681cd32c · outbound

This paper cites Roboagent: Generalization and efficiency in robot manipulation via se- mantic augmentations and action chunking, 2023.

Mixture of Horizons in Action Chunking Roboagent: Generalization and efficiency in robot manipulation via se- mantic augmentations and action chunking, 2023

Reference 4

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source=pdf_text observed=2026-08-03T20:32:25.532551Z digest=sha256:6a1c55a1b9f45c5c3aa557f355caebfa807f0e09495a68dd44def904b852c365

Observation f4c64c22-dc5f-4690-bd3a-de8607a848af · outbound

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

Mixture of Horizons in Action Chunking GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 5

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source=pdf_text observed=2026-08-03T20:32:25.624340Z digest=sha256:6cfb1beb5a093825882a2dc44b2f754218d25e1e5457d730d67c6d02c0c3db54

Observation 7373500c-7519-48a5-aed5-90164726d714 · outbound

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

Mixture of Horizons in Action Chunking $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 6

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source=pdf_text observed=2026-08-03T20:32:25.692132Z digest=sha256:87c7586f65eb2578e0807c7979ddb8c874b906a972dc526ebb72db64d55b12df

Observation 923b5b7a-e99b-4d4a-9722-b636a35b33fd · outbound

This paper cites Occam’s razor.Information processing letters, 24(6):377–380, 1987.

Mixture of Horizons in Action Chunking Occam’s razor.Information processing letters, 24(6):377–380, 1987

Reference 7

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source=pdf_text observed=2026-08-03T20:32:25.754673Z digest=sha256:4a286d5fb3d735c24ff0157379be877bdefc4554c34c9ec2fe4ecc217331a71e

Observation 3caa5ebd-2877-451e-b0f9-e24a8101c21a · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

Mixture of Horizons in Action Chunking AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 8

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source=pdf_text observed=2026-08-03T20:32:25.823841Z digest=sha256:3ec1c07850295c5d51df4b00a78c392cf7e95a818ff34f030d1c04dd66c87df5

Observation 3a35705d-26ef-4a29-b9a4-cfd79592255c · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

Mixture of Horizons in Action Chunking UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 9

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source=pdf_text observed=2026-08-03T20:32:25.898922Z digest=sha256:b62f91213531c4fa31cc6fb0d7f9bf6d2ece1f2979820e595db0d60546a824a6

Observation 7d0acd44-973c-436a-8145-eba3851f04b2 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

Mixture of Horizons in Action Chunking WorldVLA: Towards Autoregressive Action World Model

Reference 10

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source=pdf_text observed=2026-08-03T20:32:25.963233Z digest=sha256:b6ff4bb669f899eaa46e87a3733cc35344ad70439c6eb878e5d1ce0df012ac7d

Observation c86dcdde-d573-498e-8df9-94d69147a04a · outbound

This paper cites GR-3 Technical Report.

Mixture of Horizons in Action Chunking GR-3 Technical Report

Reference 11

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source=pdf_text observed=2026-08-03T20:32:26.053455Z digest=sha256:a7c675143fc498965f2b1e1222eff596b973f222721d9159f1ca965c7f38a150

Observation d5f05ba3-2f92-45ca-b20e-b2dd8eb83dcd · outbound

This paper cites Robotwin 2.0: A scalable data generator and benchmark with strong domain randomization for robust bimanual robotic manipulation, 2025.

Mixture of Horizons in Action Chunking Robotwin 2.0: A scalable data generator and benchmark with strong domain randomization for robust bimanual robotic manipulation, 2025

Reference 12

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source=pdf_text observed=2026-08-03T20:32:26.117647Z digest=sha256:08d68d8ddf1a8aa7975bd0a631c888ff7abf9b2dee333281f2be8b5145062fee

Observation eedca211-437c-4ee1-91a0-69840097fe10 · outbound

This paper cites Moto: Latent motion token as the bridging language for robot manipulation.arXiv preprint arXiv:2412.04445, 2024.

Mixture of Horizons in Action Chunking Moto: Latent motion token as the bridging language for robot manipulation.arXiv preprint arXiv:2412.04445, 2024

Reference 13

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source=pdf_text observed=2026-08-03T20:32:26.170721Z digest=sha256:22dd4add4506fc79bf04c254fb00722b44fd640b65d4a09101c3d250f67de471

Observation f8822bbc-745e-4a14-a4ef-70d65d671167 · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Mixture of Horizons in Action Chunking Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 14

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source=pdf_text observed=2026-08-03T20:32:26.261658Z digest=sha256:fedf2aef6be91bd594a23174ed63994d33397c056661a23b7f85faeabb3efc95

Observation 81093c64-9e59-4af4-a751-c34f678f5b94 · outbound

This paper cites InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy.

Mixture of Horizons in Action Chunking InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy

Reference 15

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source=pdf_text observed=2026-08-03T20:32:26.321590Z digest=sha256:90b57648cd8f80bb7eb0fc2b2e032c282eb1607319349b5baa6afddd7cc9ad1c

Observation 69574d5e-ea1a-4caa-a6d0-6b36440be8f8 · outbound

This paper cites OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation.

Mixture of Horizons in Action Chunking OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation

Reference 16

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source=pdf_text observed=2026-08-03T20:32:26.436437Z digest=sha256:186334d798bd980f422dfdf3b8c811e95025b2366c8b4223d5d2e6e8b397d2f9

Observation 0506a26e-cfe9-42ac-afa4-368caf8fa3d4 · outbound

This paper cites Graspvla: a grasping foundation model pre-trained on billion- scale synthetic action data.

Mixture of Horizons in Action Chunking Graspvla: a grasping foundation model pre-trained on billion- scale synthetic action data

Reference 17

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source=pdf_text observed=2026-08-03T20:32:26.524477Z digest=sha256:279defb4e56c90d23306261a2c3d3a5b2c3ad08cec22cd0aca6ceb463c7b2ea2

Observation af1ed290-a787-42de-9ade-fa8ee1fb30af · outbound

This paper cites Interleave-vla: En- hancing robot manipulation with interleaved image-text in- structions.arXiv preprint arXiv:2505.02152, 2025.

Mixture of Horizons in Action Chunking Interleave-vla: En- hancing robot manipulation with interleaved image-text in- structions.arXiv preprint arXiv:2505.02152, 2025

Reference 18

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source=pdf_text observed=2026-08-03T20:32:26.611283Z digest=sha256:3a34407ff7d3a4cb8d02516de5536f806e770518b0a2ca1d3cc6ecc24d1452b3

Observation d421a931-9a70-410d-ac47-ff031edfeb44 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity, 2022.

Mixture of Horizons in Action Chunking Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity, 2022

Reference 19

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source=pdf_text observed=2026-08-03T20:32:26.724510Z digest=sha256:9019a74892322657e2c1c861c14e55a9e5d24a37495451738dd01b66351aac4c

Observation c19d9121-4ffe-4a89-83d4-3ddb452ead54 · outbound

This paper cites VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models.

Mixture of Horizons in Action Chunking VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models

Reference 20

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source=pdf_text observed=2026-08-03T20:32:26.811080Z digest=sha256:0d6d82742480d42c888e1c5631dca148b5e963370ab23c61d4496d1c600ce820

Observation bacc246f-62b3-45c2-9594-64e80dd39a94 · outbound

This paper cites A survey on vision-language- action models for autonomous driving, 2025.

Mixture of Horizons in Action Chunking A survey on vision-language- action models for autonomous driving, 2025

Reference 21

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source=pdf_text observed=2026-08-03T20:32:26.988241Z digest=sha256:9823825017e1dd8316860e910ff1837c24c11abf239e417b9dde5cc6ac0e60f2

Observation 66cd26f2-c66c-439e-8b56-2627734ad89b · outbound

This paper cites Fineclip: Self-distilled region- based clip for better fine-grained understanding.Advances in Neural Information Processing Systems, 37:27896–27918,.

Mixture of Horizons in Action Chunking Fineclip: Self-distilled region- based clip for better fine-grained understanding.Advances in Neural Information Processing Systems, 37:27896–27918,

Reference 22

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source=pdf_text observed=2026-08-03T20:32:27.136968Z digest=sha256:e718fce09b5fb19d123db5b24f185a9bbab634ed7ebc90533def3b090ac14b8b

Observation 72d6e80d-0083-4321-a18c-5f147aeb3277 · outbound

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

Mixture of Horizons in Action Chunking OpenVLA: An Open-Source Vision-Language-Action Model

Reference 23

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source=pdf_text observed=2026-08-03T20:32:27.255963Z digest=sha256:b8058091b4715478fa5280b7b36da5cc505c193f6ab1965a75865a6294bb6311

Observation a6b8c7d5-26fb-46f2-9268-db864e9ec7fd · outbound

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

Mixture of Horizons in Action Chunking Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 24

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source=pdf_text observed=2026-08-03T20:32:27.355162Z digest=sha256:4a92bd057fb61877c59a3d0c337979a639edaebb92d83e2c126e7ee19c40b797

Observation 08accf09-5419-47cf-927f-e837d644e628 · outbound

This paper cites Spatial forcing: Implicit spatial representation alignment for vision- language-action model.arXiv preprint arXiv:2510.12276,.

Mixture of Horizons in Action Chunking Spatial forcing: Implicit spatial representation alignment for vision- language-action model.arXiv preprint arXiv:2510.12276,

Reference 25

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source=pdf_text observed=2026-08-03T20:32:27.473078Z digest=sha256:571355450c0be975778e6821e405b197f465a77fad09de40982b124752a1c6d8

Observation 0d09a04f-9252-4e29-b2c9-4f203e45552c · outbound

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

Mixture of Horizons in Action Chunking CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 26

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source=pdf_text observed=2026-08-03T20:32:27.625412Z digest=sha256:28969ae05ecf8bc4456dec333986a29b20b60ed856bf634edbe90b69e188875d

Observation 1780c7b3-7529-49fa-8a34-be9b91ec5722 · outbound

This paper cites Evo-0: Vision-language- action model with implicit spatial understanding.arXiv preprint arXiv:2507.00416, 2025.

Mixture of Horizons in Action Chunking Evo-0: Vision-language- action model with implicit spatial understanding.arXiv preprint arXiv:2507.00416, 2025

Reference 27

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source=pdf_text observed=2026-08-03T20:32:27.804252Z digest=sha256:a33e1e98fcadc96670dc1ed07b8c9d47f097cd7f75e8032bb89e1921e2289182

Observation 0dba2a39-9d52-4af5-b759-a9b893fbd835 · outbound

This paper cites Flow Matching for Generative Modeling.

Mixture of Horizons in Action Chunking Flow Matching for Generative Modeling

Reference 28

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source=pdf_text observed=2026-08-03T20:32:27.979478Z digest=sha256:aa7955c33af16b85addcdda1a4a10e4d23a86775813f56562570be128a3f3b42

Observation 3b97df11-3ffc-410a-a072-d9525c29d3ab · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Mixture of Horizons in Action Chunking LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 29

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source=pdf_text observed=2026-08-03T20:32:28.154512Z digest=sha256:f2104435248bddecc271ad7226ff879beeb3580bb08fd926d70682efabb5dc25

Observation 34ace99f-ad8a-403c-b237-a5ac39f53367 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787, 2022.

Mixture of Horizons in Action Chunking Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787, 2022

Reference 30

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source=pdf_text observed=2026-08-03T20:32:28.295507Z digest=sha256:7eb11dcdb3c60fb33996bf715bd8f8f5cfcbcb097be06d53c50a92ec9df3502b

Observation d9aa5be5-22ee-404d-901b-a1b654f186a8 · outbound

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

Mixture of Horizons in Action Chunking Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 31

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source=pdf_text observed=2026-08-03T20:32:28.408385Z digest=sha256:3e0e544b95b074aa9a24755aaaf2a47bddf01607409d2d5ed9062301b6d79c1b

Observation 28178c42-aeb1-40bc-8033-01a9d1997d73 · outbound

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

Mixture of Horizons in Action Chunking FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 32

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source=pdf_text observed=2026-08-03T20:32:28.585704Z digest=sha256:7ba23f7c4764543a633d59caba8fc75e9abf973f1a61860d2d147d93f11389d4

Observation 2763321e-3fe3-44e3-afda-1f70af923ffa · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

Mixture of Horizons in Action Chunking SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 33

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source=pdf_text observed=2026-08-03T20:32:28.705217Z digest=sha256:a2415aa62e62288dcc9971698fff5b04841306cafdc46cc64906c967fb237500

Observation 850b66c0-1b46-4545-8a7b-9c5535e78543 · outbound

This paper cites Sparsely-gated mixture-of-experts pytorch imple- mentation, 2019.

Mixture of Horizons in Action Chunking Sparsely-gated mixture-of-experts pytorch imple- mentation, 2019

Reference 34

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source=pdf_text observed=2026-08-03T20:32:28.825619Z digest=sha256:01ab717592018f5c85390a920916bc6a4a7210153d347dd920b4e1faedb58b5a

Observation a8f7678e-4112-411e-83ce-3985fcda86e9 · outbound

This paper cites Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models.

Mixture of Horizons in Action Chunking Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Reference 35

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source=pdf_text observed=2026-08-03T20:32:28.968924Z digest=sha256:e828aa6153fbd1d238581724b28e85dfc9a98916a3e629062a445b036d5cc3b2

Observation 8274fb4d-d592-4fc5-8918-0c7741029d93 · outbound

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

Mixture of Horizons in Action Chunking SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 36

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source=pdf_text observed=2026-08-03T20:32:29.092769Z digest=sha256:d2f6d63fc27b3ff5baea2a11c7d6e069935e76e6b2d9426731f39f395bd8aecb

Observation 97ee8c20-695a-4f66-bf59-d38a765773a6 · outbound

This paper cites Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation.

Mixture of Horizons in Action Chunking Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation

Reference 37

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source=pdf_text observed=2026-08-03T20:32:29.151581Z digest=sha256:189a7fa033d83d1746fa244a9c5c29893fbfdd7084489e02b7ca5f2b8e37961a

Observation d92f0542-4c00-4c58-84ff-2efd77185db9 · outbound

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

Mixture of Horizons in Action Chunking Octo: An Open-Source Generalist Robot Policy

Reference 38

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source=pdf_text observed=2026-08-03T20:32:29.209007Z digest=sha256:4583b38d560bde071ea11c53eb88b86d360fb8518fbbf59665093d29a914d9d0

Observation 734dbf3a-8ae7-435b-ac2c-5b47827b7554 · outbound

This paper cites Vla-adapter: An effective paradigm for tiny-scale vision-language-action model.arXiv preprint arXiv:2509.09372, 2025.

Mixture of Horizons in Action Chunking Vla-adapter: An effective paradigm for tiny-scale vision-language-action model.arXiv preprint arXiv:2509.09372, 2025

Reference 39

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source=pdf_text observed=2026-08-03T20:32:29.278954Z digest=sha256:bbcab505ea24dc38fe43ec1c00e9331ee555adae106fd399917223798ef1001f

Observation 83fcaaeb-26c8-4395-90d0-f07501b58f5c · outbound

This paper cites Unified Vision-Language-Action Model.

Mixture of Horizons in Action Chunking Unified Vision-Language-Action Model

Reference 40

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source=pdf_text observed=2026-08-03T20:32:29.361062Z digest=sha256:ab86ef0b7080d33f04629e300b8068cf88e969c51cef22d42b55fe8480c16aae

Observation e1529c92-b2b4-4caa-9083-32b2e7da06ed · outbound

This paper cites Qwen2.5 Technical Report.

Mixture of Horizons in Action Chunking Qwen2.5 Technical Report

Reference 41

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source=pdf_text observed=2026-08-03T20:32:29.443468Z digest=sha256:0af4611fa1326098738bfbfc7b09d5d13909d74d330a9768c3a6db65fd69434a

Observation b6f34564-4811-49cf-a1df-7e23b9821719 · outbound

This paper cites Igniting vlms toward the embodied space.arXiv preprint arXiv:2509.11766, 2025.

Mixture of Horizons in Action Chunking Igniting vlms toward the embodied space.arXiv preprint arXiv:2509.11766, 2025

Reference 42

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source=pdf_text observed=2026-08-03T20:32:29.526936Z digest=sha256:08f95b20b4a86a66bc39c72dce712c30827d49186878849d4cabbceb5df0a344

Observation 07c5f748-54cb-4242-9f79-cde0fa0fa7a2 · outbound

This paper cites DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge.

Mixture of Horizons in Action Chunking DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:32:29.602732Z digest=sha256:3a76dabb89ab07587cdf88c1cafa0c7c0d473433ad155b142f8e782434046a85

Observation b4e58a7e-7a3b-4905-8044-43921321b03c · outbound

This paper cites From spatial to actions: Grounding vision-language-action model in spatial foundation priors.

Mixture of Horizons in Action Chunking From spatial to actions: Grounding vision-language-action model in spatial foundation priors

Reference 44

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no resolver link, observed 2026-08-03T20:32:29.621993Z

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source=pdf_text observed=2026-08-03T20:32:29.621993Z digest=sha256:15be0aa06aae5d3670531803ebba1d1d90ec8db41bb5690f5f4eb481844fc130

Observation f4bbcf10-18e9-4cbd-b72f-e00b339da362 · outbound

This paper cites Cot-vla: Visual chain-of-thought reason- ing for vision-language-action models.

Mixture of Horizons in Action Chunking Cot-vla: Visual chain-of-thought reason- ing for vision-language-action models

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:32:29.712035Z digest=sha256:4afe041f4bbe98c9267b02ebe4f19d7f14148f44dbe7a49afb1b18ca16749e05

Observation 236ca3d1-3dc9-4684-99a3-70dc4203430d · outbound

This paper cites Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn.

Mixture of Horizons in Action Chunking Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn

Reference 46

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no resolver link, observed 2026-08-03T20:32:29.807744Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:32:29.807744Z digest=sha256:f6a496aebf95fb7b524baf6a33e4c39729a59a9fbf03e54890bad920dde004b1

Observation ada945c4-4e53-4e5e-ae06-6e9e41196e23 · outbound

This paper cites Universal actions for enhanced embodied foundation models.

Mixture of Horizons in Action Chunking Universal actions for enhanced embodied foundation models

Reference 47

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no resolver link, observed 2026-08-03T20:32:29.893759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:32:29.893759Z digest=sha256:751a509b71375d798b380feab812709305b60171a38b1af8332fcd7db567575e

Observation ed3e7f70-73da-44de-a962-393be8340695 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

Mixture of Horizons in Action Chunking X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 48

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no resolver link, observed 2026-08-03T20:32:29.945264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:32:29.945264Z digest=sha256:3f4fab36d8d8f7a45672cf8e644d2a9a7bcd48f96e3ae48fdc78710729cf5827

Observation 40a23ac0-21c5-4063-9f29-5d5123cac0fd · outbound

This paper cites TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

Mixture of Horizons in Action Chunking TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Reference 49

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no resolver link, observed 2026-08-03T20:32:30.041174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:32:30.041174Z digest=sha256:a8f66eec3d08f1609b72f87129c7e5bca1578b5cf9e6aba6268850b5c6742dcf

Observation c2b85ea4-3e80-462f-86dd-ba17da70ca28 · outbound

This paper cites Flowvla: Visual chain of thought-based motion reasoning for vision-language- action models.arXiv preprint arXiv:2508.18269, 2025.

Mixture of Horizons in Action Chunking Flowvla: Visual chain of thought-based motion reasoning for vision-language- action models.arXiv preprint arXiv:2508.18269, 2025

Reference 50

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no resolver link, observed 2026-08-03T20:32:30.157531Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:32:30.157531Z digest=sha256:7ddd3a780f83841c13fe871a0b075f8590e28dd1149cf79b2f1b7103d807bb58

Observation 8c89c302-f2c6-466c-8d1a-39f81b00270b · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Mixture of Horizons in Action Chunking MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 51

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no resolver link, observed 2026-08-03T20:32:30.269520Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:32:30.269520Z digest=sha256:af1da66bcd7c8639b8b2f9a726b50dc066792ff3420d9925a30586abae6d685b

Observation 8b6268e2-2457-4ba0-858f-e4f069a439d6 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Mixture of Horizons in Action Chunking InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 52

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no resolver link, observed 2026-08-03T20:32:30.338797Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:32:30.338797Z digest=sha256:1e2e3f3a9a72f38b47dcfe31f8907283e7b88369d8b7a3d4fce43554e779b6da

Pith citing papers

Observation 70f6b4a4-e5de-4216-a7ae-e5b9fee4f99e · inbound

Causal World Modeling for Robot Control cites this paper.

Causal World Modeling for Robot Control Mixture of Horizons in Action Chunking

Reference 30

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arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T13:53:52.188890Z digest=sha256:206d18b3077fb61f345cb39b6ad4922cd9e59f211a96cabc5c10d10b90de3688

Observation 47bc42b1-ab28-4d87-aae7-363a56d7fc38 · inbound

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs cites this paper.

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs Mixture of Horizons in Action Chunking

Reference 23

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no resolver link, observed 2026-08-02T22:14:27.081047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:14:27.081047Z digest=sha256:851d14854c22cba8eab6e10b822648fb2c09d73e9b1870518d8ac68a4aff21a4

Observation 42786a40-7f6d-4fd3-ba9b-14dbe0f2b5fa · inbound

Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA cites this paper.

Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA Mixture of Horizons in Action Chunking

Reference 15

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verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T19:45:17.852646Z digest=sha256:53a6cf6e107333dc6acce7be469336fb5647ab58b99c16154126ae4a39105df5

Observation e29367c7-e018-475d-a196-8c0844a8bc41 · inbound

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation cites this paper.

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation Mixture of Horizons in Action Chunking

Reference 34

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arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T03:18:03.855477Z digest=sha256:59399151369919bf6edc014979a322b4c47b40adda8fff2583f26afd623bd405

Observation 72c512da-5bf1-4eb3-b1b4-694074150566 · inbound

When to Trust Imagination: Adaptive Action Execution for World Action Models cites this paper.

When to Trust Imagination: Adaptive Action Execution for World Action Models Mixture of Horizons in Action Chunking

Reference 8

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verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T09:17:18.017938Z digest=sha256:7dce13d6bf30e967d1f98e7bb2733decf4eff29fa6776bd931e34b2ad49eea75

Observation 74eecce0-2477-404a-bc89-c27e79cae8e4 · inbound

When to Trust Imagination: Adaptive Action Execution for World Action Models cites this paper.

When to Trust Imagination: Adaptive Action Execution for World Action Models Mixture of Horizons in Action Chunking

Reference 9

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verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T01:22:49.557507Z digest=sha256:da224eeca80f480b19218687796dc3dbf100e5cf57bf905fb5884896ae3d9732

Observation a142c9be-0a8d-402d-836e-96d729e1c3ce · inbound

When to Re-Commit: Temporal Abstraction Discovery for Long-Horizon Vision-Language Reasoning cites this paper.

When to Re-Commit: Temporal Abstraction Discovery for Long-Horizon Vision-Language Reasoning Mixture of Horizons in Action Chunking

Reference 24

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verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T04:58:21.232058Z digest=sha256:7978dbd3384a1b5713cce5e86ec0fddc9236ee74dad453b30d697652b6cba673

Observation 618cfa10-119b-4081-8e73-d163514eee60 · inbound

When to Re-Commit: Temporal Abstraction Discovery for Long-Horizon Vision-Language Reasoning cites this paper.

When to Re-Commit: Temporal Abstraction Discovery for Long-Horizon Vision-Language Reasoning Mixture of Horizons in Action Chunking

Reference 24

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verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T23:23:14.695568Z digest=sha256:ff1ee3cd7732cce12192155c6fd9e3c724ec5988cb4516b826bff7da25dd85b6

Observation 5e8f7c38-10ae-467f-a17a-73a33b19b1b0 · inbound

When to Re-Commit: Temporal Abstraction Discovery for Long-Horizon Vision-Language Reasoning cites this paper.

When to Re-Commit: Temporal Abstraction Discovery for Long-Horizon Vision-Language Reasoning Mixture of Horizons in Action Chunking

Reference 24

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verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T08:33:24.285225Z digest=sha256:7b02473b002a39994c21606f3e167dd371a08de7d575a8b7494a2ef1e06d11ba

Observation d27c06f4-9fbf-4162-a0ce-3cb00f9bbddf · inbound

Dynamic Execution Commitment of Vision-Language-Action Models cites this paper.

Dynamic Execution Commitment of Vision-Language-Action Models Mixture of Horizons in Action Chunking

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T01:45:35.282421Z digest=sha256:421b913f378ae912bc5a2fec98cbc831af2f62e5769a5c742c62a6979e179d48

Observation 75ac505f-d2da-47a2-8c7d-3b5ad49f83b5 · inbound

Dynamic Execution Commitment of Vision-Language-Action Models cites this paper.

Dynamic Execution Commitment of Vision-Language-Action Models Mixture of Horizons in Action Chunking

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-01T03:02:54.298289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T23:09:57.202867Z digest=sha256:e129e440394ca2b86d9e2e0083281069d072564a3079fdea5dac0fc804b86dca

Observation e6b8c1e6-22c3-41fd-b91d-40043bc5d6a2 · inbound

Dynamic Execution Commitment of Vision-Language-Action Models cites this paper.

Dynamic Execution Commitment of Vision-Language-Action Models Mixture of Horizons in Action Chunking

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:45:46.183458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T22:46:26.117927Z digest=sha256:3cf49dbaa4dd0c4b0789a2d71b530c48a67e107517f5863267cfd07972e832db

Observation 209fea6c-e3ed-4bda-a7b3-1b0b3ebc8f33 · inbound

Dynamic Execution Commitment of Vision-Language-Action Models cites this paper.

Dynamic Execution Commitment of Vision-Language-Action Models Mixture of Horizons in Action Chunking

Reference 10

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unresolved
no resolver link, observed 2026-08-03T02:22:08.031430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:22:08.031430Z digest=sha256:a9a299d8e57cdbd4dc394ecf9536fedca93ea296cf96fbd8b4e92de00bdd562c

Observation 7de8a30b-9158-4431-8315-40e299bc698a · inbound

PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking cites this paper.

PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking Mixture of Horizons in Action Chunking

Reference 11

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metadata mismatch
local_arxiv, observed 2026-06-28T19:02:33.619944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T18:55:23.344228Z digest=sha256:96048ff03f536dc1403c92aeb91bebd9187b267b974f8b3fb79c1ce9fbdebfbe

Observation 6f7f187f-d027-44b5-85aa-ff900e14a85f · inbound

PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking cites this paper.

PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking Mixture of Horizons in Action Chunking

Reference 11

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unresolved
no resolver link, observed 2026-08-02T12:45:03.984131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:45:03.984131Z digest=sha256:ee3b6b722da7b0046635dd79d9f320ced769c78731ed341419014c4ddd130fdc

Observation 51b5f6f4-cf22-4efa-bdbe-66955353ecea · inbound

Denoising Tells When to Replan: Denoising-Variance Adaptive Chunking for Flow-Based Robot Policies cites this paper.

Denoising Tells When to Replan: Denoising-Variance Adaptive Chunking for Flow-Based Robot Policies Mixture of Horizons in Action Chunking

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-02T04:06:35.292990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T09:26:28.271486Z digest=sha256:3c77f8b07cd71cabe8840465d17371f0f34cf1f00ef152e3b69ced3a32c55079

Observation 62fd48a9-3155-4272-a599-36d9661bbec3 · inbound

What Are We Actually Benchmarking in Robot Manipulation? cites this paper.

What Are We Actually Benchmarking in Robot Manipulation? Mixture of Horizons in Action Chunking

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:56:35.317982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T09:31:39.345777Z digest=sha256:e406d9f0edce6d309814032ff36ee82efb373adc2f8d99854f7a8b8cabef725b

Observation ec417aa2-467b-4fbb-882d-00d9c51a5815 · inbound

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies cites this paper.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Mixture of Horizons in Action Chunking

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:36:58.784991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T01:14:14.972805Z digest=sha256:be4c68aac7be0f86787a0fdf4d3eca3dc028b6b760fb83296402e13da31f9bc7

Observation 2209a340-2331-4e7f-95b7-97196d80c9a0 · inbound

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies cites this paper.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Mixture of Horizons in Action Chunking

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T12:17:09.389487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:17:09.389487Z digest=sha256:be57f8fcf9392b880e7703554abf2f4dc65960e73b6ea40e3806e1d38b0e2f46

Observation 13ad0ab2-d5fd-45c0-bcff-9711aff8a08d · inbound

Dynamic Execution Horizon Prediction for Chunk-based Robot Policies cites this paper.

Dynamic Execution Horizon Prediction for Chunk-based Robot Policies Mixture of Horizons in Action Chunking

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-03T06:17:41.623321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T12:48:32.848242Z digest=sha256:23ee8f4cbfadae5fb83d8cf55670b6e9810b93bbf768eac20aaefcbdbf4d74e0

Observation 1f423306-2d40-48ad-8ed3-e768ba8a9369 · inbound

Learning to Assist: Collaborative VLAs for Implicit Human-Robot Collaboration cites this paper.

Learning to Assist: Collaborative VLAs for Implicit Human-Robot Collaboration Mixture of Horizons in Action Chunking

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:37:56.637819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T09:57:14.119334Z digest=sha256:9f53618d6f0ad6b683b350cdec0d95c9e54f8c29752e3b66cf5bcb84f7a3db51

Observation 7d0c40d9-41e3-4b0f-8517-8f8651928be3 · inbound

$\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models cites this paper.

$\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models Mixture of Horizons in Action Chunking

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-03T08:17:45.679705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T10:50:55.866910Z digest=sha256:54f73e052296becf79d72149343dc091c38fcf1b7e1b1cb2e50219966ec388cb

Observation 3c2b3e55-1fe2-46b4-a986-ca367cba2432 · inbound

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

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models Mixture of Horizons in Action Chunking

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-04T09:09:43.332561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T10:27:00.283283Z digest=sha256:028fa42d3baf98c76728697ccd1072cbec82828a72ff107afd7fb0ec615b7ebe

Observation e9896e6b-35d2-4d31-80eb-c60de19b3c0f · inbound

Learning Action Priors for Cross-embodiment Robot Manipulation cites this paper.

Learning Action Priors for Cross-embodiment Robot Manipulation Mixture of Horizons in Action Chunking

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-07-04T21:00:09.747689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-25T19:09:56.409766Z digest=sha256:4253051423c13dbadd8769600174db5178458a5633bc523cb527cbc4a953efbf

Observation b52097c7-4d3a-4b1d-b24d-4fe37354469a · inbound

AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation cites this paper.

AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation Mixture of Horizons in Action Chunking

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-02T11:16:52.769950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T11:10:45.789869Z digest=sha256:802875bcac5a0b20e596e567fd8a68938a5e73b2f3c942027e267db9a8966daa

Observation d324f970-54d4-4716-aeb3-4ea045f4bcb7 · inbound

AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation cites this paper.

AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation Mixture of Horizons in Action Chunking

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T09:02:24.063466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:02:24.063466Z digest=sha256:3451155f62c8ea0e2a95370fa852cdefe64464a501d77ec1567e91457b4d66eb

Observation e658945d-9eb6-457e-a7cf-5441fcc307ca · inbound

VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon cites this paper.

VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon Mixture of Horizons in Action Chunking

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T12:28:07.295821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-03T12:20:11.540651Z digest=sha256:d8dcc5add3361ee25521b433469d66b6185e8b971f02e467311f8cc72c26e0c1

Observation 5d60841e-b78a-41cc-a5c7-61dbd2de5257 · inbound

Spatial Attention: Adapting Execution Horizons for Diffusion Policies via Observation Sensitivity cites this paper.

Spatial Attention: Adapting Execution Horizons for Diffusion Policies via Observation Sensitivity Mixture of Horizons in Action Chunking

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-11T14:18:36.792125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T14:18:36.792125Z digest=sha256:363bfa294d8cd547d313326b7accd9db119618eb3b605f8cb171a4a0e794286c

Observation 492057ae-c1f6-4b4d-a1c9-d698561f918c · inbound

DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation cites this paper.

DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation Mixture of Horizons in Action Chunking

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-10T02:06:42.081924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-10T02:00:26.267192Z digest=sha256:58184a0a5fe81ea95a3aee154886d95803d52c3d0ec5d997520a8168f0f9bc9e

Observation f385ec68-688c-4fb3-a2c8-2e0588e0400c · inbound

CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation cites this paper.

CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation Mixture of Horizons in Action Chunking

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-30T21:05:52.637963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T21:05:52.637963Z digest=sha256:24ec905664995cde49814b24cf5cb8a71c3889c0d489ecdce9b772df20f992f7

Observation fcf19fdb-df95-411c-a956-6fe81fcd50fb · inbound

Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control? cites this paper.

Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control? Mixture of Horizons in Action Chunking

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T05:05:10.436843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:05:10.436843Z digest=sha256:bfd8025d371f19d6f9b1d0ea6e608edf731108ce4ac41c0cf109522089e4119f

Observation e93ef478-bd15-4be4-9861-96bf0c21e49e · inbound

Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon Execution cites this paper.

Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon Execution Mixture of Horizons in Action Chunking

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T18:20:25.061646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:20:25.061646Z digest=sha256:ced005817ff9df9651368f34cbe61a7adf7724331f9c87e700ae790c8dd54eb0