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Paper Citation Record · LEDGER

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 12 inbound Pith citation observations for arXiv:2506.00411.

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

pith.paper-citation-record.v1
2506.00411 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:53.760420Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:32:20.472823Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:08:03.086630Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 4a2af5aa-9214-4678-b52c-ff461c051d81 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

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source=pdf_text observed=2026-08-07T12:11:50.402461Z digest=sha256:9c9c9404530a0fbd967a96e880d1ac7a9d7422a5daf474661bc6cb8f279b584d

Observation a77ad4cb-596c-4755-9d43-0fc6784262a7 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35: 23716–23736, 2022.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35: 23716–23736, 2022

Reference 2

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Observation 611eeb08-4644-4e15-a778-1ea7082f4471 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 3

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Observation cff18067-3996-452b-bbe3-4b916fb73641 · outbound

This paper cites RT-H: Action Hierarchies Using Language.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks RT-H: Action Hierarchies Using Language

Reference 4

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source=pdf_text observed=2026-08-07T12:11:50.638916Z digest=sha256:f4677edba9098f002148c0d056cfbbb286a32fec728af8208d7a97fa1b0a9bb1

Observation 2625f32f-eb50-44d3-b841-6476248aa767 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks PaliGemma: A versatile 3B VLM for transfer

Reference 5

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source=pdf_text observed=2026-08-07T12:11:50.724857Z digest=sha256:27c0d3fd4e98e1c077198d3e5cadb94bf2af1f7ceb20fef88ea7829f1dcedb74

Observation f68be341-bf14-4d2a-a232-7818b06184ca · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 6

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source=pdf_text observed=2026-08-07T12:11:50.793559Z digest=sha256:57e9c4b952ec98e9a147ab38043ec87ba632db41dbea3e970be573044784ed96

Observation 95deca43-e5e2-464d-9bda-785345e02078 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 7

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source=pdf_text observed=2026-08-07T12:11:50.866410Z digest=sha256:177156f584e2a5bc78b9d113c045001b11844bf364df6fe78f3fd0710ea2cbf3

Observation 95e8f96c-6bd4-4f52-ad50-8481b3b626d0 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 8

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source=pdf_text observed=2026-08-07T12:11:50.945418Z digest=sha256:f5a22a229086bf4cd4187cc9aedd253aa7e8206048171e0f426650bdaa0504f1

Observation 2bce84f4-9a64-4654-ab50-1a81f0449008 · outbound

This paper cites Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Reference 9

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source=pdf_text observed=2026-08-07T12:11:51.017370Z digest=sha256:cb37cb44bc2a8dfe0c5ad93c4f39b7e692f2cad04991f0832efa37afb747a7b9

Observation e027e3ac-455f-4719-bcb7-ec0c4b1b4b45 · outbound

This paper cites PaLI-3 Vision Language Models: Smaller, Faster, Stronger.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks PaLI-3 Vision Language Models: Smaller, Faster, Stronger

Reference 10

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source=pdf_text observed=2026-08-07T12:11:51.104029Z digest=sha256:091b8f7c24fe1f9e657cdcf703a3e1edc91a641c412a79fda1f5c948fdb33144

Observation 396dad35-108d-4f25-beea-2953d1be9b1d · outbound

This paper cites NaVILA: Legged Robot Vision-Language-Action Model for Navigation.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks NaVILA: Legged Robot Vision-Language-Action Model for Navigation

Reference 11

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source=pdf_text observed=2026-08-07T12:11:51.175126Z digest=sha256:1011e2027f8bd8f7ab6bcfe297981c1ce075bdbb4b901a93fedce913a93157be

Observation 1948774a-2fca-4c78-93aa-6210970583db · outbound

This paper cites RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning

Reference 12

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source=pdf_text observed=2026-08-07T12:11:51.255771Z digest=sha256:573dd10349a559c5c7b61d27ecfe93c2c5bfcefd3793e1f8e7534241f916470e

Observation a3fc4e88-3361-40d0-9bef-a5335e1f2455 · outbound

This paper cites Palm-e: An embodied multimodal language model.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Palm-e: An embodied multimodal language model

Reference 13

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source=pdf_text observed=2026-08-07T12:11:51.332588Z digest=sha256:11a5c3516c34b2fe32600e8c052e6a4b2844b21d48062c213eeaa79e93a4a84e

Observation f21d51c6-ae7e-4ddd-b8f0-221e2238bedd · outbound

This paper cites A survey of embodied ai: From simulators to research tasks.IEEE Transactions on Emerging Topics in Computational Intelligence, 6(2):230–244, 2022.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks A survey of embodied ai: From simulators to research tasks.IEEE Transactions on Emerging Topics in Computational Intelligence, 6(2):230–244, 2022

Reference 14

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source=pdf_text observed=2026-08-07T12:11:51.411720Z digest=sha256:ee363b9c673b1900e0dc77b812fcf8bd38b6b189e3baa86b9ba788ef29bc05d4

Observation 494d03c6-01c8-4a84-bd5f-6d0f74311564 · outbound

This paper cites Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

Reference 15

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source=pdf_text observed=2026-08-07T12:11:51.503670Z digest=sha256:915bd516cf831add34406109de802da133af2732e18f83e8b1dc4f4db80ae7d2

Observation e0d22152-43ea-4d7b-a36d-d572447164f7 · outbound

This paper cites SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 16

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source=pdf_text observed=2026-08-07T12:11:51.580798Z digest=sha256:381fab0c5ed8154eaa34982fc66ba6c7918bf7a9644e8106bf2f8323067be95f

Observation 6c15d737-1812-4af8-ba9e-405a1fe6fea4 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1 (2):3, 2022.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Lora: Low-rank adaptation of large language models.ICLR, 1 (2):3, 2022

Reference 17

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Observation 5d3a4d0f-abc1-438d-8dbb-3e89c20b1864 · outbound

This paper cites Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning

Reference 18

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source=pdf_text observed=2026-08-07T12:11:51.749872Z digest=sha256:43d01da2cb1282211be597c0ca6b9042ba923b612924d4e7fc08bd10b054a504

Observation f686ef96-63b8-4e2e-bac4-d26f9da7dd92 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 19

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source=pdf_text observed=2026-08-07T12:11:51.808027Z digest=sha256:d28b4fc5edfeb6ab93433330926af656d2bd8ec2c07c628691ead5b0a8a8e2f5

Observation 557ec476-913e-47e3-8b7f-4c041f2747f7 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 20

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source=pdf_text observed=2026-08-07T12:11:51.879427Z digest=sha256:ce6998bb926ee32f35a5ce0e986f1cb60ac5a3724498e4e54cc2cdd8d99ac8de

Observation 8c84b103-0336-4f5d-8135-47005bbcd31d · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Letters, 5(2): 3019–3026, 2020.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Letters, 5(2): 3019–3026, 2020

Reference 21

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source=pdf_text observed=2026-08-07T12:11:51.933742Z digest=sha256:097f201f0353a82768e7ac533d1ebfa422c8fc3c067e716809c2eaa30459291b

Observation 820a1bc0-e137-4067-9af1-de82658f6d3c · outbound

This paper cites VIMA: General Robot Manipulation with Multimodal Prompts.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks VIMA: General Robot Manipulation with Multimodal Prompts

Reference 22

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source=pdf_text observed=2026-08-07T12:11:51.991716Z digest=sha256:d7667342af36d2661e6f573b6b0047e80067ed777cfaf8b142ffd25d7376f9dd

Observation 65712fe7-bfe9-44b7-b52b-5f09f8b515d4 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Prismatic vlms: Investigating the design space of visually-conditioned language models

Reference 23

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source=pdf_text observed=2026-08-07T12:11:52.049828Z digest=sha256:4dd33dc91290958a9b77f301d42eddc3a7d55a32e96608ae7722dc9f27a44951

Observation fb2a4c9e-8674-4c17-9c5b-62aca763dcf9 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks OpenVLA: An Open-Source Vision-Language-Action Model

Reference 24

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source=pdf_text observed=2026-08-07T12:11:52.108675Z digest=sha256:0c3f7321d75f11b3defe5cfebbea8f5ff4dbbae1cc262e272f29430b08c323da

Observation 3e511f46-d589-4f42-b24f-5c5beb0ba397 · outbound

This paper cites Interactive Task Planning with Language Models.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Interactive Task Planning with Language Models

Reference 25

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source=pdf_text observed=2026-08-07T12:11:52.169199Z digest=sha256:1f3717f185f697f9900f0b2ab0bb836c0adc284e25e55af2165505fa515d836a

Observation 3b256970-321e-4233-a30c-d662d2bc37dd · outbound

This paper cites What Matters in Building Vision-Language-Action Models for Generalist Robots.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks What Matters in Building Vision-Language-Action Models for Generalist Robots

Reference 26

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source=pdf_text observed=2026-08-07T12:11:52.234021Z digest=sha256:91cd2eb4c3050a823ca21c46d2003d688ddad0094c34c148c11556261b933e49

Observation ae26849b-d5ab-43d1-9fc1-9ea2f5737a9c · outbound

This paper cites HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation

Reference 27

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source=pdf_text observed=2026-08-07T12:11:52.289000Z digest=sha256:8915f3cfba7d979cdda6e344ddaf51221a81e16bbdc8b5240e94a9e09ad938de

Observation f6a8cf29-9d17-40d7-bbfd-907b591e9eae · outbound

This paper cites Code as policies: Language model programs for embodied control.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Code as policies: Language model programs for embodied control

Reference 28

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source=pdf_text observed=2026-08-07T12:11:52.345413Z digest=sha256:cfce29ced3edd38dfa5b9f566f14cbf75ed74ce7870fad7975eeea675155e118

Observation 7cedec1a-53b2-46fd-b1a4-90fde3db3aa3 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 29

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source=pdf_text observed=2026-08-07T12:11:52.417895Z digest=sha256:35ed8932bca41ef79d95db1f0de922ed0efdff2c8a94f3848ff6107455a4bf8c

Observation d2b24dac-6fca-4be1-be34-5526efb36c12 · outbound

This paper cites Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Reference 30

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source=pdf_text observed=2026-08-07T12:11:52.474356Z digest=sha256:8460ade117f7f86efbb33aac4d3057ae49e817d3d448163b3564d2ba4885252b

Observation 3386d76e-45b7-452b-8eaf-5b90a4ccebaf · outbound

This paper cites Decoupled Weight Decay Regularization.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Decoupled Weight Decay Regularization

Reference 31

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source=pdf_text observed=2026-08-07T12:11:52.542027Z digest=sha256:70d57d739e6c65729d2e5acfa1159f498657ee36e3819b203c8f643fa73f82c9

Observation 27dcc32e-f1f9-41ff-82c6-e4dcf848fd98 · outbound

This paper cites Embodied Long Horizon Manipulation with Closed-loop Code Generation and Incremental Few-shot Adaptation.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Embodied Long Horizon Manipulation with Closed-loop Code Generation and Incremental Few-shot Adaptation

Reference 32

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:11:52.605689Z digest=sha256:84b4538822aac6df470e24859bc81662f62748626c2f1af6571fc72c19ea2c75

Observation 19d7957c-ead7-4c6a-af9c-1d95c5e5b4f9 · outbound

This paper cites PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Reference 33

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source=pdf_text observed=2026-08-07T12:11:52.663287Z digest=sha256:74cf5807bb8faddd78ce0ce8deef6377726ca9c5f7d18d5789fbed878d03bdef

Observation 926c4d49-089e-447c-ae47-79f582e9e696 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 34

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source=pdf_text observed=2026-08-07T12:11:52.737739Z digest=sha256:6d1c005412e972af01e4c37865b7edb65cf251ef5bd32d11ae5f8595dda517c5

Observation 8482fb7b-520f-41f1-9783-1f9b55ce32c6 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Learning transferable visual models from natural language supervision

Reference 35

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source=pdf_text observed=2026-08-07T12:11:52.813700Z digest=sha256:e7eeb28d2818b1b6d72d970d6f7950b46d9fd0ce5e9f54e2d3db985a4779768f

Observation adf29dd0-4804-45d4-b563-50b5267c01ba · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 36

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source=pdf_text observed=2026-08-07T12:11:52.870099Z digest=sha256:5e529fa2adc6b9bd66b0bf37376ffa7da5bf8606cf166092c6d6cab3229df945

Observation 1e9729c2-9d0d-48c4-a8b2-d8135faa509e · outbound

This paper cites Yell At Your Robot: Improving On-the-Fly from Language Corrections.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Yell At Your Robot: Improving On-the-Fly from Language Corrections

Reference 37

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source=pdf_text observed=2026-08-07T12:11:52.939905Z digest=sha256:d4b4a943dce8699ea79ce4fa63aa0c4a3def2ab8660f0a5b785d06b1e966d40f

Observation f5a57f0c-fb57-4e52-a7ed-b5d87fcc5baa · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Cliport: What and where pathways for robotic manipulation

Reference 38

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source=pdf_text observed=2026-08-07T12:11:52.996432Z digest=sha256:c0cbcf45dc0fe334f90f6dfb6709ae0506d4aa72b4c8d652a2db7cfff0a34976

Observation 62ae627e-101d-4083-93a9-756881a0c8a7 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Octo: An Open-Source Generalist Robot Policy

Reference 39

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source=pdf_text observed=2026-08-07T12:11:53.054561Z digest=sha256:efd7ab9fe2e3c06dadde259505256599f88969009ac3627e2f021a8d443ed091

Observation 26fcc7d7-4dd4-4a28-b637-5c9c9505445e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 40

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source=pdf_text observed=2026-08-07T12:11:53.109639Z digest=sha256:9306ff2dab3fbc6e0d740e2d80d65dfff0caa2ba63abfc5bee21c9134542f5b1

Observation 1333bbd0-2651-4b57-b84e-918508fb06b2 · outbound

This paper cites KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems

Reference 41

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source=pdf_text observed=2026-08-07T12:11:53.136088Z digest=sha256:be01057866476d50b65d92377f4d6b07010d24f6c0f90b16a193554df290785c

Observation 267028b0-7e69-49df-8662-1eedb1064a11 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Chain-of-thought prompting elicits reasoning in large language models

Reference 42

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source=pdf_text observed=2026-08-07T12:11:53.156816Z digest=sha256:84591fe1dd8827c84c86e021a0285d62c0ef04e40c20d79aadadebdcaa497ac1

Observation 7ecbe182-66c7-4eb9-b7b9-233a0db0521f · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning

Reference 43

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source=pdf_text observed=2026-08-07T12:11:53.176992Z digest=sha256:b7d07db7977fca13a7de5c971f826d196d472a2567733bbeddad578d832837d2

Observation 6d1168fb-ecff-4995-826c-eccec69fc6f6 · outbound

This paper cites DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control

Reference 44

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source=pdf_text observed=2026-08-07T12:11:53.199045Z digest=sha256:8815268738fee278d3175ad85c5a61c8b47650d923bd1add49fb3cdb3aba81f4

Observation b0777f90-df48-4f56-927b-3d6696670cd4 · outbound

This paper cites Embodied Task Planning with Large Language Models.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Embodied Task Planning with Large Language Models

Reference 45

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source=pdf_text observed=2026-08-07T12:11:53.224883Z digest=sha256:d365e6aca267d98b8793b78ec5d6b501d61d7bcd9d5bfcb92d3c3fa5f1cb7c19

Observation 1dadc5fd-e2b5-4f32-a48f-cc3b5ba8e226 · outbound

This paper cites Guiding Long-Horizon Task and Motion Planning with Vision Language Models.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Guiding Long-Horizon Task and Motion Planning with Vision Language Models

Reference 46

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source=pdf_text observed=2026-08-07T12:11:53.248800Z digest=sha256:4f62e658fc8d986fa37b25563daba3f757e70479902e0246cbb4249d406c509d

Observation d053f5ef-cf53-42ef-8fd1-0ad9ef18c56b · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 47

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source=pdf_text observed=2026-08-07T12:11:53.279922Z digest=sha256:3acc6b27f2ce1fc193d094c57752bfb03cb950d1a9e820c150824b0748132c52

Observation 99ab15d2-1cd4-40ce-95ac-854b15e2e5fd · outbound

This paper cites Robotic Control via Embodied Chain-of-Thought Reasoning.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Robotic Control via Embodied Chain-of-Thought Reasoning

Reference 48

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source=pdf_text observed=2026-08-07T12:11:53.309841Z digest=sha256:c1d3162e1f6354868c5e72c687a532d932dd23a1aa77864ee44fbfbdd39aafe6

Observation 32a1e977-58cf-4ec1-aef5-422dc7c48f00 · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipulation.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Transporter networks: Rearranging the visual world for robotic manipulation

Reference 49

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source=pdf_text observed=2026-08-07T12:11:53.341794Z digest=sha256:be48fd0e7e3fdf86395b4bcc718699a8621a871bcea08545ac3f48ea1e2f0a00

Observation 029dc6b2-2290-4ed4-a692-683e44f7cde3 · outbound

This paper cites LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation

Reference 50

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source=pdf_text observed=2026-08-07T12:11:53.410773Z digest=sha256:754808e36075253a045cbab92b7b51ead0b21af1687706f53d332026106c80a6

Observation 04cad5a2-d5bb-4cd1-aa82-961911dc6ef4 · outbound

This paper cites VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks

Reference 51

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source=pdf_text observed=2026-08-07T12:11:53.465809Z digest=sha256:177ca554549fcfa50d8df7c1526a8cd05d55ecdac118b787529411637612431b

Observation 1c0fcf83-bbca-43ca-b251-01076d826155 · outbound

This paper cites Erra: An embodied representation and reasoning architecture for long-horizon language- conditioned manipulation tasks.IEEE Robotics and Automation Letters, 8(6):3230–3237, 2023.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Erra: An embodied representation and reasoning architecture for long-horizon language- conditioned manipulation tasks.IEEE Robotics and Automation Letters, 8(6):3230–3237, 2023

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:11:53.529912Z digest=sha256:c8d7f97a2d7a493b61a514f907227ec75217b278fc73d004f4064c78629d19f1

Observation 7b5230cb-1021-4eb9-8fd9-e7342d94e7e3 · outbound

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

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Reference 53

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source=pdf_text observed=2026-08-07T12:11:53.612115Z digest=sha256:24713ec8d99bce375e464b45213ea2f7ac7570d7b75aa90e6baf630bc3d25656

Observation d5853545-59f4-46b9-b4bb-6d32d1843908 · outbound

This paper cites Isr-llm: Iterative self-refined large language model for long-horizon sequential task planning.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks Isr-llm: Iterative self-refined large language model for long-horizon sequential task planning

Reference 54

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raw_fallback, observed 2026-08-07T12:11:54.486441Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:11:53.679712Z digest=sha256:2ec4545553858825fb470a26bb863f4f83786b998c875ff548ab57fffd3abe2a

Observation 2fe3bc54-3dad-47d6-97a8-3fb0fa87f083 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 55

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source=pdf_text observed=2026-08-07T12:11:53.760420Z digest=sha256:b049ff16d3c76cbb5d431f707482c7b02d5b72ab2a86511702c32b371f880de0

Pith citing papers

Observation 997d3490-1325-4a65-8c76-7513290a445c · inbound

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey cites this paper.

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 106

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arxiv_id, observed 2026-05-17T20:28:16.118267Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T20:28:15.818016Z digest=sha256:62027937c0000cccca196ad40ac37ca5f656cf7bf53bcbe4fde587c890277fc8

Observation e8d5e4cc-5464-4f4e-af06-f03fa3161f38 · inbound

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control cites this paper.

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 45

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arxiv_id, observed 2026-05-15T22:06:43.006415Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T22:05:39.797848Z digest=sha256:e4bf5c168d8c88df9ca3ec396b4770e18e964ec60f8c08e811ab423b54291ab5

Observation fec2673b-f60e-44eb-bda3-4d0186d6a3ea · inbound

RoboStream: Weaving Spatio-Temporal Reasoning with Memory in Vision-Language Models for Robotics cites this paper.

RoboStream: Weaving Spatio-Temporal Reasoning with Memory in Vision-Language Models for Robotics LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 62

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source=pdf_text observed=2026-07-14T21:59:30.885343Z digest=sha256:2f7aae9cb7ba235bf4c8b39ba1f80d03c8207c121421c1905aa02a98fe391293

Observation 828b5d19-bd5e-441f-8931-da55b7502848 · inbound

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

Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 37

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arxiv_id, observed 2026-05-13T19:48:11.475227Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T19:45:17.852646Z digest=sha256:3dde678358918a41aa2c6bc7306284b4a970a1139e769a75561d6692f9920f14

Observation 6dc473a3-1204-429a-bf56-f4debac64faa · inbound

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time cites this paper.

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 86

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arxiv_id, observed 2026-05-11T05:41:00.470165Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:59:48.877783Z digest=sha256:59fdaa66fa4610aa352380848efa166339b5fbc701a09ccc00d60c1e772a2c02

Observation fc4d610d-b7e9-4f44-91bd-fa748b1f2c2e · inbound

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time cites this paper.

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 80

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source=pdf_text observed=2026-08-04T05:32:20.472823Z digest=sha256:a60540b4bdd74900c2df0a67b3bb4a4450b4e01a05048d36d376924ab31c74b8

Observation d3e491ca-6df3-4e6a-8276-241a1931768e · inbound

ST-$\pi$: Structured SpatioTemporal VLA for Robotic Manipulation cites this paper.

ST-$\pi$: Structured SpatioTemporal VLA for Robotic Manipulation LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 39

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arxiv_id, observed 2026-05-10T11:40:19.846507Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T04:46:21.784769Z digest=sha256:a903f5a01f7624b9df8968911f06176af5609f154cbc44ebcd9a6bf3491cd316

Observation e6720793-1822-43d3-89f0-542ec16861f6 · inbound

Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models cites this paper.

Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 32

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arxiv_id, observed 2026-05-14T18:37:35.551039Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T18:35:22.595183Z digest=sha256:caa0aba0d56f09358721bccaa13a6c6727a7a85c78d254e2afad013fb4507070

Observation fb1f5b37-0eb1-4e8f-8cfb-d3a8159b8376 · inbound

Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation cites this paper.

Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 280

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metadata mismatch
arxiv_id, observed 2026-07-02T12:56:56.738255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T01:46:36.081851Z digest=sha256:81c7b23e9677f68a35d8af0b7549a924064d31c279e1aeb0c44c6b30c1625f6a

Observation 402cf453-63ce-463a-b2f4-a06344575e19 · inbound

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? cites this paper.

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 15

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arxiv_id, observed 2026-07-03T11:08:03.088305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T09:42:17.813126Z digest=sha256:1faa6128b2be71eaaea433943052093152fec21e3ccd2268002b66f2c6b32892

Observation 4e08cc78-0e59-4138-aeab-62b2d17b03af · 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 LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 72

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arxiv_id, observed 2026-07-03T08:17:45.702600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T10:50:55.866910Z digest=sha256:ab33f56178637dfc646e8f6f76557144d0553ec4ab603d4cb7131c1f4f41dc20

Observation 6307be61-d675-45f9-a719-c1b73bd6ef7b · inbound

LENS: LLM-guided Environment Simplification for Planning and Control in Clutter cites this paper.

LENS: LLM-guided Environment Simplification for Planning and Control in Clutter LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:14:50.679321Z digest=sha256:5b4ed8d391c6d2ee6bbfc71c5a3577c8d29885729a8ec5a6380ffa561cfc710c