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Paper Citation Record · LEDGER

RVT-2: Learning Precise Manipulation from Few Demonstrations

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2406.08545.

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

pith.paper-citation-record.v1
2406.08545 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:28:36.996418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:47.137557Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 92d89a72-64d1-4219-9271-03527209d67d · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 95

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arxiv_id, observed 2026-05-24T01:25:54.400103Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T01:25:10.150459Z digest=sha256:16db16093a5f604c7e9aeb8f518b1ef90eb96fd816e1563ebddc44b886b07001

Observation 72b44c2a-8ee5-4947-bc53-0bb1a4236322 · inbound

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 156

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arxiv_id, observed 2026-05-16T08:25:18.155563Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:225c04b98a764bdb265645298c30f7a70205c7ec0bc4a530a36bff57bd7dc7ca

Observation fc972db5-9a52-44de-b639-dd105730ddf1 · inbound

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation cites this paper.

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 5

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source=pdf_text observed=2026-08-12T11:20:03.470631Z digest=sha256:e0f369d44a00044140fa376ef94341b98ce940b55761e58885fc32e8f9c9e854

Observation 25d268c5-5098-497f-999f-1b8c688a93a2 · inbound

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation cites this paper.

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 24

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source=pdf_text observed=2026-08-12T11:06:12.856393Z digest=sha256:d6475dd1b5f85a09ac5c66a29889a6da374bf6adedc1787a9a2f53f8c6b0f03d

Observation e2316a9b-8592-4b7f-8101-cf8d9cac986c · inbound

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination cites this paper.

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 19

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source=pdf_text observed=2026-08-11T11:47:49.865268Z digest=sha256:8ed4a73103a60dad6ff2cb46f63368791e30b29ef6a64d046a17639b10e2a6a0

Observation 6a0ee82c-d9cf-4616-a8cf-de9c43bf21f3 · inbound

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation cites this paper.

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 16

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source=pdf_text observed=2026-08-09T23:04:14.531181Z digest=sha256:c2492f99681ab95bbfaab1a25025eb6be9312ec7533532a6089e21b03e21abde

Observation 34408dfa-c2a4-4f6c-a993-97f374535d93 · inbound

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model cites this paper.

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 83

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arxiv_id, observed 2026-05-15T22:00:48.857342Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T22:00:48.667428Z digest=sha256:8d5c8724618ccc596f60e97984599222c34cfb3151136974b69280bbfc23b01c

Observation ebc20fa3-01b1-49cb-acef-073d7ce5a279 · inbound

Few-Shot Vision-Language Action-Incremental Policy Learning cites this paper.

Few-Shot Vision-Language Action-Incremental Policy Learning RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 12

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source=pdf_text observed=2026-08-16T11:28:36.996418Z digest=sha256:88df148aa9bb9198bfe0b627e2ea37b7ce67dd63a75c6a6cd1302848567fc53f

Observation 40cdb43f-b7e8-42e4-b2e3-8c0d533e02e4 · inbound

CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation cites this paper.

CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 19

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source=pdf_text observed=2026-08-16T01:07:35.207771Z digest=sha256:e4d60778626fd0cbf13fe15fcb69ee6f92634e78be7971b903a4af0f181487e1

Observation 772fc3a3-344c-4610-b0e8-83528891dc15 · inbound

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data cites this paper.

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 21

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arxiv_id, observed 2026-05-17T20:55:52.311826Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T20:55:52.109166Z digest=sha256:48edcf006ceff83390b8d8607e02e8ff0718601a9bc71fa059bdbf23e33aea15

Observation 2ca985e1-66a4-4487-b035-233678a4798a · inbound

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation cites this paper.

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 40

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source=pdf_text observed=2026-08-15T23:29:32.070701Z digest=sha256:e27ef8afa6fe271c902d0dd20d2856a3584c7ac5c30ff627bdfddce23f548211

Observation 0a4401d1-3018-47e5-af36-0676a4c981a9 · inbound

GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation cites this paper.

GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 78

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source=pdf_text observed=2026-08-15T20:50:54.261149Z digest=sha256:d5fcb01fc9cdb6ae0ef73b50aa467d30601c9f2e01940a0a87248f1c96d0a61c

Observation d668f55e-27f6-49d0-86f4-0446a1f7764e · inbound

PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation cites this paper.

PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 13

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no resolver link, observed 2026-08-07T13:35:51.083897Z

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source=pdf_text observed=2026-08-07T13:35:51.083897Z digest=sha256:7fc9993535fe8b4a45dc06d9f910cf5b187e27fd17e0645d340f2381b0734eb0

Observation 648b9f1e-d370-4521-a736-8d4ac6cf26ab · inbound

SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping cites this paper.

SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 3

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source=pdf_text observed=2026-08-07T12:35:11.244743Z digest=sha256:4c152c7515d44ef66cebb23a358ea82dc9bcc676585841af22164f7d129f1d25

Observation 9af6af23-558a-4724-91aa-57665513bfb4 · inbound

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation cites this paper.

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 122

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source=pdf_text observed=2026-08-07T04:58:57.439596Z digest=sha256:1529a3d1248d99ffe4f8ff601ebf0884e0be371c78fed7736f92c76fea9692d3

Observation ef6faf59-d5d0-455e-ae1e-e3fbbccf8597 · inbound

Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation cites this paper.

Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 48

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source=pdf_text observed=2026-08-07T04:56:52.346905Z digest=sha256:428317718135e6f199fe79bd1a42e1f003ae478466f592c1665a1742656e7ba7

Observation d899cff8-9b08-4889-892e-3ab1332a6a6e · inbound

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation cites this paper.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 24

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source=pdf_text observed=2026-08-07T04:17:08.566688Z digest=sha256:d0701dc82048694136267365d86f69af0052d7f83ed7c2970b931a3494b899e5

Observation d15c9dcd-c39e-4e06-8e8d-338192f51988 · inbound

ROSA: Harnessing Robot States for Vision-Language and Action Alignment cites this paper.

ROSA: Harnessing Robot States for Vision-Language and Action Alignment RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 17

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source=pdf_text observed=2026-08-07T00:31:31.765815Z digest=sha256:ea1aa31b85ff63dff0bad6d7c293234105c1e006cf75af37367202ad85ed8d11

Observation b71824cb-9c54-4535-966c-d4269f8ab1e8 · inbound

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies cites this paper.

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 2024

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source=pdf_text observed=2026-08-06T22:16:27.771773Z digest=sha256:acaaade87344f93081a502b18f6faf7cee024f896013be39311a41a7e6810e40

Observation b1fd0c7b-1f30-4e11-ba3b-96f64e074111 · inbound

RoboPearls: Editable Video Simulation for Robot Manipulation cites this paper.

RoboPearls: Editable Video Simulation for Robot Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 21

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source=pdf_text observed=2026-08-06T22:04:28.087749Z digest=sha256:a3882ce05d1721637b53fdb358287984d628006ad8f5592d3423cf93a7ed9a70

Observation 7f092340-47cb-49dd-8149-52271bf60658 · inbound

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot cites this paper.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 2

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source=pdf_text observed=2026-08-06T20:04:37.810336Z digest=sha256:23cee4dee1d500ad3ae3b1ebaa1daacec0c8025d27b9a380d51649915934978c

Observation 8050ad7d-523b-4d86-93e0-e793404528f7 · inbound

Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models cites this paper.

Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 10

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source=pdf_text observed=2026-08-06T14:54:07.008032Z digest=sha256:1dd353d6c05d725b404121f2559806d6ac3c734865be2beb15363867a2b1f8c2

Observation 5dd79bc2-2a4c-4bfe-8968-c395034aee31 · inbound

LLaDA-VLA: Vision Language Diffusion Action Models cites this paper.

LLaDA-VLA: Vision Language Diffusion Action Models RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 15

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source=pdf_text observed=2026-08-04T22:55:29.864667Z digest=sha256:bc07ccf4cfba31ebb4255fe96c0251c2322d224438367451c9debf934c1f342a

Observation f5d8c324-d19e-4b68-8d1a-179175f0eb22 · inbound

QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models cites this paper.

QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 2024

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source=pdf_text observed=2026-08-04T09:34:42.480378Z digest=sha256:1544402ac455c89c714ddcaee41da85a0757744cb115b3d445dcaae8f50b718f

Observation 21734492-4d2c-44c0-a411-c5bdd39f23e0 · inbound

SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation cites this paper.

SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 12

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arxiv_id, observed 2026-05-15T16:46:18.367506Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T16:41:43.120491Z digest=sha256:37ffb1f96ed85da2f9d41dab2ea8dedead40e6a0519bed0f8331d9099d0384c2

Observation 26f64b6f-3fdd-4501-b684-d1fcd6565efa · inbound

SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation cites this paper.

SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 11

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no resolver link, observed 2026-08-02T18:47:52.115618Z

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source=pdf_text observed=2026-08-02T18:47:52.115618Z digest=sha256:5733b06873d60a81e60e2a1ef07da46e968e0e8d05ba113fa30fe7ac534ba01c

Observation e8b63eb7-349b-4815-a1f6-f11466ecd4d9 · inbound

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model cites this paper.

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 12

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arxiv_id, observed 2026-05-10T22:50:51.360442Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:31:23.255452Z digest=sha256:5670c02364362929f067b22afcc68e52f984b0583404638c5942741f1c20f852

Observation 4dafde39-ed20-4ed5-9a63-f45c98a0d574 · inbound

Learning 3D Representations for Spatial Intelligence from Unposed Multi-View Images cites this paper.

Learning 3D Representations for Spatial Intelligence from Unposed Multi-View Images RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 19

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arxiv_id, observed 2026-05-11T09:56:03.538646Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:44:39.322417Z digest=sha256:e4b6e1111ffba00f3090fb2f34f0556602f28bbaede0bca561df6744fa6fd6ce

Observation 1d143ec3-3079-44a6-9afa-040637c04523 · inbound

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation cites this paper.

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 9

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arxiv_id, observed 2026-05-11T16:56:06.880695Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T14:30:00.890117Z digest=sha256:22b439ca481c385cf687247a3152561fa948dd9349870b4a2e2612467208dd02

Observation 9b1c4910-a101-4f9a-8bb6-8b8883f02bb7 · inbound

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation cites this paper.

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 17

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arxiv_id, observed 2026-05-21T03:49:31.144493Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T03:46:30.726145Z digest=sha256:8371db476081b91b440af79ce640bf550281562bad31eb2e3cd3ca3de5b7d59b

Observation 890f44b6-bd64-44d4-98ae-386abc5485fd · inbound

EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control cites this paper.

EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 9

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arxiv_id, observed 2026-05-22T06:21:10.571277Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T06:19:36.625269Z digest=sha256:153694430af0b101ede2a64045ecd2439992c82e0e5ac329b8c11fabe9ece000

Observation 8890760d-dcd4-44eb-93be-b19449634373 · inbound

Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models cites this paper.

Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 17

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arxiv_id, observed 2026-06-30T13:44:40.666008Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:40:59.330788Z digest=sha256:295c7c1564cb6acea6aa729e4ba50279b675417cda1f4638f361d9b68927ef1e

Observation b63d7f7b-e7cd-435b-9a3f-f6d4e7c6df84 · inbound

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation cites this paper.

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 15

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arxiv_id, observed 2026-06-29T21:33:59.318499Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T21:27:26.682689Z digest=sha256:234d30193cc99ae6bd2fcb27a19c458d7d1126dd0d1cf12a4a55fdac067a0696

Observation f34c3245-fc32-42b7-b72a-d79344777402 · inbound

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs cites this paper.

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 19

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arxiv_id, observed 2026-07-01T21:16:13.639321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T17:24:02.843529Z digest=sha256:873dc5328892f22d3dd2036a131955cc1fc3fc056c7c40c234a1c4f438e04a2c

Observation 29733758-9525-44e8-ba60-a2c20277fca5 · inbound

GeoHAT: Geometry-Adaptive Hybrid Action Transformer for Mobile Manipulation cites this paper.

GeoHAT: Geometry-Adaptive Hybrid Action Transformer for Mobile Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:18:33.013170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T06:37:21.516021Z digest=sha256:c45d823f9f4b9c1b5610e6745f0bdbde1fdfabb324c64589dffce7d2343b71ac

Observation 25f708af-30ca-4093-b3dd-e5cdb158ca1b · inbound

LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories cites this paper.

LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:48:33.527043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T06:53:49.349808Z digest=sha256:ba645373456edc7b5ff89b835517a8299e95bfba4460c564c3011b0987e2f5f2

Observation 50fedabc-79d4-47e7-a776-bec3a4f9f77a · inbound

FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation cites this paper.

FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:29:30.405210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T18:01:08.616612Z digest=sha256:498de03491981b997cd993ea99b49ddac07660a6a3856fd3bea4a5be15342fe9

Observation 91c11564-544b-4e92-8e5c-c274b7ef6777 · inbound

UniviewVLA: A Unified Multiview Vision-Language-Action Model with World Modeling cites this paper.

UniviewVLA: A Unified Multiview Vision-Language-Action Model with World Modeling RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:37.529578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T14:27:40.585782Z digest=sha256:2cb7af6e95d8a3c6f45e0263f69442f2df61c257ca4f4150637540d4b9178de7

Observation 77ee2454-065b-4261-a98a-49d7d7e25d01 · inbound

Learning to See While Learning to Act: Diffusion Models for Active Perception in Robot Imitation cites this paper.

Learning to See While Learning to Act: Diffusion Models for Active Perception in Robot Imitation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:09:47.138818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T08:08:48.779570Z digest=sha256:dfe291826a724b09f3665624ce782c7930ebc042640abae9d825ffba1c63e3b4

Observation f0493c65-8cc5-4602-a1c3-692fb8148344 · inbound

Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation cites this paper.

Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T06:39:16.303751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:39:16.303751Z digest=sha256:40b90398932ad8d1bfb11733fd5b47df0728ffaf70c21ccbc91b2a72de1a3cf7

Observation 42e0ea7a-3990-4a05-870e-30286fd4a555 · inbound

Pix2Act: Image-Space Manipulation Policies with Equivariant Augmentation cites this paper.

Pix2Act: Image-Space Manipulation Policies with Equivariant Augmentation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T06:33:12.974578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:33:12.974578Z digest=sha256:3e29d6d4094b98cb26019ef2741ca1e6c579131698e40b94c5fec6480e0e839f

Observation 0d4ca4b8-f091-47fb-965c-85480e1fc7b8 · inbound

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation cites this paper.

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-01T14:39:43.362949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:39:43.362949Z digest=sha256:438bf59ae3250935f658429a51002a4d09291eaf1587c6ab5cc629e8bf28d667

Observation 65b4f476-755b-4eda-a1fd-d7e3ad97c85f · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:30.740135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:30.740135Z digest=sha256:735ed90c33ccd98000d870cc0d50e6bafa2b272b534ea61658f2da0cf9a52769

Observation 3da0a491-2e47-4f1f-95f8-48f090164ce9 · inbound

Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action Models cites this paper.

Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action Models RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:48.095191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:48.095191Z digest=sha256:a765676ba881a7c8731c2ac100880b062f87fd028105753181a91eb2cac37f0c

Observation 5693d143-f648-48bd-be85-4206f23a4a72 · inbound

ARGUS: Aligning Robot Scene Geometry Under Shifting Views with Large 3D Vision Models cites this paper.

ARGUS: Aligning Robot Scene Geometry Under Shifting Views with Large 3D Vision Models RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T10:14:03.094179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:03.094179Z digest=sha256:57c9c0c1e2d462ebd02819fa289292b78f8730e28bccf5e233ec794182e0e42a