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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

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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:f09e16068f5ab0dac1ca07a5bd6e7c99bf39566aef353b8e4077c486b0f2d198

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:f119c1d0adadb78e2e779a3838f15e210b21f786837e2b694a94ead1489d6c88

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:b8a3a6567a02ba092a78e3df1711f73edd163d7e04bf92a8f3ec83c2a3aa4f8b

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=sha256:9de137d62c8e8231fbc9026ab4eb89beba94fb8f3dd833c8c594c265794b15a1

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:dc3daaa0d934de89711a34bb26089256b4704028f9a14e17eda8780daa6cd49b

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:d78e7a674ea19bd3a43491653745a84e1c099306adabec2e63cd2c0e09851e70

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:b07f82f8a6cfd14b77736a12d9ae72bb360caa6ef93cf05556d3eaf76f68003e

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:fcf2f671d6dca8354cafc78c08593fa5297ab9408d9ac853b8258e3645040736

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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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=sha256:49fde290ee8883306fb96da9fbee1571de54e387721aea71c2a19777a66e97f0

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:f2ecb601b52db5de67f329dcd393a49dbd13754ce1f848ad88f6d350dda3996a

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=sha256:879d042e6f56f43d02c0c5e8a649f68deabb14f3d41c8837fd0877172328ac90

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:b5e939ab1be9d47625e0910ca2d77cf4b649f57fa7e02619b0b30fd81abf32fe

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=sha256:66ecc9de31f33b3d75240d8d3e3866673ae218f04f21cddb8b32d18415916f5f

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:d89cef6f9a7a2429a2918ea8844b62d3d350dd4b04fc8de0e443a0331ab069fa

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:f03a2a81baf456d4288f3c9bfff5ee76dc00fa60346ee4a39858758c5edefa4c

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:ff6a46063e49af81a4fe421f379f44518c7b747f159fa3dc9eb3bb43cd0a6196

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=sha256:9df6ee294b632e2fdd2115bf0ccb7138b934fb8ff43db3299df7328620ed685a

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:ec8ae21946724877c0d67f94bf345e37f550e73803b4363506a8950262fede36

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=sha256:9b2ec43af30c50c3cddbce11667d62b612566e1447ff78b1dad8e361aff16bd0

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=sha256:5e8cec5b9728ffed2ec412890b6659113c9e09c80ee8b6b344c31fb9a50f1415

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=sha256:34f1923347146edc84e31bdd42b47a7857a5e139617319c8baceb45553c917fb

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:fd195471752c2c3f61665edb8d18ccdd6fdcc213a55d8ba5d8a880204f000151

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:dd58d4043f997708e2968902b403241e1b1c6a7bc35e030c13196a9e07783fc1

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=sha256:6059542f55e422f377369b8430922dda1c07307916e52849e8652dc836a7d2cf

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=sha256:43b62a6f8750c2dfb0ad53349c62c8280b860ed7bc5ce68e068f27323d3bdc3e

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=sha256:25095a5f1e4bdb8894fd22587471c0fc610e5782478986b2864129cc8ca5698b

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:b2ce2d44bd7456f8cf589953f0c3caffeb642f63107ea9c1db4f103f23b50d47

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:52.605689Z digest=sha256:548190c40e182ac73627317ec66e315a86bc0b30e7b1eee628ca610a4331dc42

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=sha256:4c3c7ea9c358c28c7463c75f6c7d651617cd86fdea375312ce5945b12bce0bda

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=sha256:60c9dfa01cbc801fc4beb42c48072fcbf79e5e819f24c5956e063df88508e3b0

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=sha256:946e9582e56b1bdf6408a84d43a3e48a2d2c951191cf8e2c2c069cf5f19547cb

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=sha256:4661187f75a24ac52c4cf90e34973d1dc59cda239e4cf83b43e5579b1b6e7135

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:fb614c78dbdcbb8b77cfa611cd8fea47307688a8c83f3762adae4b5151e8868f

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:c749631f8148bdd138550f691a3f0db65ae6305102145b64d3e7ed08c721842e

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=sha256:5d4f5ce72fa300ddd7a0d6733c90136ce497a249d6816e2dab9f1a6445aac5ae

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:d03380a0712a58d3092a01b2fe56547317a559ae072fc82957565add4467a70a

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:a8d81a82b5d1b6758d64216d991eb59052afe2686f9fa9ebb6970fcf6f143078

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=sha256:24042c92fc6d26df3b2477ea07b33230840448b241cb9fbc4210e87ab9fa1814

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:fcea56721189cfe9c8a68252a00ebe59e8610407da6a0e886fff20b6d5404818

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:ab32ec30d0723f1375fc101bbbb85083bc96c7b7aa0ab546d986ff9ae1aa17a7

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=sha256:7bbb41ae07f7e82758d99bc551aa49e74cb84451ce46c5aa835e2dd08fb4c486

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=sha256:2c9b612596467975797c1fc01af8352a632906925e341e3355a51564ced06459

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:d916098a36874c22a4aefb9c67851cb601b4407f99689553c93ba8e968ce06a8

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=sha256:4374444161147b30f001556fcfc976eebd2b6ba7fe9367b26db2fef460efbf9e

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=sha256:4ba3bde881cf5e38bf052045ed3c5454d3001c4142c36af0e5d62aac72f0d092

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:fe329fc196393f6e75261ad5264fa834365ee955b502d2952ca1297b00cce02e

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:d5f84eb1945507b8984a7bd30f87d4264d266d1135758a4f84f3598f5c934f35

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:53.529912Z digest=sha256:a5c83180037b09a5414e9bb3e9eb7c2d21c121733778842922cd7e83a430aab8

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:f6184b85a528cc82d34d5b733846b0a3cdc8d93523ad68b917a0471545b66fe5

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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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T12:11:53.679712Z digest=sha256:26bcf8ba8c7ea95fdc6da46c441707ab70ce4ae1b67ab7a6257de1869c265c56

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=sha256:21e797e37d22e48a7a95e54cb322fa0e9bc341f2a0d5814f834edb4885842b6e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T20:28:15.818016Z digest=sha256:0780c719fa0d216ecfc0fb25933be8226a3970c714b6c8e82a668b3dd5c5ea5b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T22:05:39.797848Z digest=sha256:a7f19d51def5d3b47221fc01e13577d90d7d7ea9958c3d7643efb6e8eb054931

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:da40e29b27e4fb2e0eea4f60db9ad7a8d8551092aecf6f0cdcf679d02269ed06

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T19:45:17.852646Z digest=sha256:7ef92de925bb0c7dbf8be37a77fb1f389b366fa9de1242b66f5da0d1c41ac037

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T17:59:48.877783Z digest=sha256:3e1c936771980aac9bab98ba197924dc8a31367ebcc24ca27f23057639630dc5

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:a9002c171cb6ac78cc20d8f97f537bbdb481d0c2e70f1ae2dca933511893a4db

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:46:21.784769Z digest=sha256:3e1ea864475802fa51c75caa2b32e1b11f824ba968f0f6312e50a7905c4ad5ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T18:35:22.595183Z digest=sha256:f4c827ab1bf5000004d042ab2b6db4558085bf8ffebb47fcfc7ec2b67c3fd23c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T01:46:36.081851Z digest=sha256:114ee6d33cb18c2f68da28fd5bf3c22926318b4f020f876fa2ad937456b47aeb

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

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

source=pdf_text observed=2026-06-27T09:42:17.813126Z digest=sha256:14739dba47e452e02becdb33a912ef8f5ae62166c8e9d0b2566eb6ad439e8f5a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:50:55.866910Z digest=sha256:dc81c51116385c4132ff133f595de4cc6d94db4fbcceecf78a8aaa39ea8490ed

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=sha256:31bcaa99c9fc86f2e30c00043a429dca238aa02b19e6dc825a750582ce430de9