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Paper Citation Record · LEDGER

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2410.21845.

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

pith.paper-citation-record.v1
2410.21845 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:45:08.286467Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f1e3aadc-b9aa-4feb-82ed-dabeb2145b61 · inbound

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning cites this paper.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 26

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no resolver link, observed 2026-08-11T16:45:08.286467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:45:08.286467Z digest=sha256:5caef8ebc0763a4fc2776b7a0ccef4b00b3891a3f4022850a6a6904164be60f2

Observation 5b45896e-b92b-4b8d-a514-ee771490c344 · inbound

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy cites this paper.

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 20

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no resolver link, observed 2026-08-08T19:20:33.623613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:20:33.623613Z digest=sha256:f9f27ea5857c214b2ba4e156eb8d1e6d46a258f853428b73cd877cbd1abceb7b

Observation 38565bfe-6d09-46f8-825e-46776006dc07 · inbound

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI cites this paper.

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 14

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verified exact
arxiv_id, observed 2026-05-23T00:02:17.527612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T00:00:53.307042Z digest=sha256:bb2c511721656033f95bcaa6bad7632961c889af6bba1b43aad874aa1e761998

Observation ee8914a1-eee1-4f35-8869-de0cc19e0a51 · inbound

Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space cites this paper.

Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 17

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no resolver link, observed 2026-08-07T14:51:42.390470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:42.390470Z digest=sha256:475151fc71bb6c3e87ef6f541ea74c3903ebd353849cb0399584f40c8a67dc1d

Observation 77728afb-05ac-4ec6-ac06-10df5faab142 · inbound

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 51

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metadata mismatch
arxiv_id, observed 2026-05-16T12:55:40.477240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T12:55:40.245908Z digest=sha256:944e61b257b79d4cd848d47523615ee81ecaa163554820da304a60762de43d78

Observation 317c1489-65bc-4a26-9f5b-844fd14b6e39 · inbound

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning cites this paper.

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 55

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no resolver link, observed 2026-08-07T14:12:39.869877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:39.869877Z digest=sha256:4bec931a103f036ea2e2a3ccc3a82a902fc48527e2cfc47ca7a9ed22f015df7a

Observation 216a3b5f-2cca-4dda-a44d-aae64872c4a7 · inbound

Prior Reinforce: Goal-Conditioned Dynamic Manipulation with Limited Trials cites this paper.

Prior Reinforce: Goal-Conditioned Dynamic Manipulation with Limited Trials Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 37

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no resolver link, observed 2026-08-07T13:26:30.534038Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:30.534038Z digest=sha256:8474ba13ba1488a4c195374ffee1d1bcdcd955ab40dfeb67bada863acd12275a

Observation f8b129b2-404d-4769-bf16-c2b5fe35ae10 · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 92

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arxiv_id, observed 2026-05-17T21:55:46.378636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T21:55:46.183007Z digest=sha256:092814c73255c27efed182a04a12b90508e32f3894ff9b95f4998c12f2df0145

Observation c31bab30-118e-4053-bfa5-6ce9bce6b9a2 · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 9

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no resolver link, observed 2026-08-06T19:53:06.156942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:06.156942Z digest=sha256:ca016de5fd7c52a3be43a71cbfed7b4da757bfd2cb3c3ba48f9dd78db3def0af

Observation 9dc67e93-ef6d-407f-9103-e88f2284cb14 · 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 Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 186

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verified exact
arxiv_id, observed 2026-05-17T20:28:16.153201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T20:28:15.818016Z digest=sha256:7fa919339bc208511eae0ff04ded51ff4cfd02a744cf789b8d8a46387bae90bd

Observation de1e985f-4095-4003-86bd-f0f7ef090805 · inbound

RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction cites this paper.

RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 32

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no resolver link, observed 2026-08-04T21:32:58.738256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:32:58.738256Z digest=sha256:1eb9a9cf4535c7e62ce7539b3b1e44136b4db5e783849c47955e3fa5cb14bda8

Observation 35d57a6d-18d2-4683-8c9e-94b5a60bc653 · inbound

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation cites this paper.

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 3

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arxiv_id, observed 2026-05-08T21:49:16.190040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T11:22:38.704101Z digest=sha256:80c9eda0d989f4ff25ddcce60c4edad0b4b428bc2018c6537921a49e9b77dc02

Observation 6128db45-81fe-4d46-a060-44e6b2491e29 · inbound

RL Token: Bootstrapping Online RL with Vision-Language-Action Models cites this paper.

RL Token: Bootstrapping Online RL with Vision-Language-Action Models Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 5

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verified exact
arxiv_id, observed 2026-05-11T19:26:09.145629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T11:56:34.978806Z digest=sha256:44f0efee31a25d08862abcf53aa711fb63839d9fa4cd01787eecdd0fef01489c

Observation 3c15f417-0eb5-4a56-a0fe-eea2731febd1 · inbound

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills cites this paper.

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 16

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arxiv_id, observed 2026-05-11T22:11:16.082966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T03:13:36.437080Z digest=sha256:40fe1a59a56f9713bed4afd2a085d217736505a53fc35cb9f1bdec64f59e7738

Observation dc00898e-6956-4cab-a03d-3658d7f48fcc · inbound

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills cites this paper.

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 14

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no resolver link, observed 2026-07-12T18:17:43.564400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:17:43.564400Z digest=sha256:537dc9e7b7751e3a397c0194d9cae6e75e82491b18249775a2647c339bcec32d

Observation 840af7e9-0fdf-44d9-8603-80182dc035d6 · inbound

REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer cites this paper.

REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 21

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verified exact
arxiv_id, observed 2026-05-12T07:56:27.839204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T01:30:06.120140Z digest=sha256:a8cd5725b2a9de1ec55f87aedc4f4d1bcf966fd80c1a2be09ac61fc36ef7f764

Observation 93ec771b-b6d0-4706-8409-71c1f09eaaf1 · inbound

EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models cites this paper.

EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:13:59.910904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T22:10:08.682307Z digest=sha256:58316be6b87712d54db11ac27635e305f97887720dd9162897555e5be605752e

Observation af7b178d-c22a-4639-b9d7-ae8bd028a1c8 · inbound

RhinoVLA Technical Report cites this paper.

RhinoVLA Technical Report Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 21

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verified exact
arxiv_id, observed 2026-07-02T19:17:17.944048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T21:36:15.806974Z digest=sha256:4edd5506ed06a473e98ffbeeaec51e614f3af0df074f3bb6c668e00730f297dc

Observation e72926d9-f91b-489a-b804-f1fa40e5d63c · inbound

RhinoVLA Technical Report cites this paper.

RhinoVLA Technical Report Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 21

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arxiv_id, observed 2026-07-01T07:15:29.824272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T07:14:14.918962Z digest=sha256:c3b05e6fb7086d706127458b9223d1de95279886c639a1fc4930e894cfc59ff2

Observation 46b0fad7-20ca-42a4-85a7-c2a03c95204a · inbound

RhinoVLA Technical Report cites this paper.

RhinoVLA Technical Report Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 21

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no resolver link, observed 2026-07-12T14:51:51.552221Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T14:51:51.552221Z digest=sha256:2075510edc018286416f6a4b0dbd1b2518c03251c75d0b0952cbacb2fdf3981e

Observation c6a2d310-74ff-4307-8a45-c20c6507ef3b · inbound

RhinoVLA Technical Report cites this paper.

RhinoVLA Technical Report Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 21

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no resolver link, observed 2026-08-02T12:15:09.439410Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:15:09.439410Z digest=sha256:37144780540311b322630e27816c5a21a5f7e8e2c5c9f75f9b652cc648e4c32c

Observation e593cfcc-629c-4f1a-836d-692b999583ce · inbound

Scaling by Diversified Experience for Vision-Language-Action Models cites this paper.

Scaling by Diversified Experience for Vision-Language-Action Models Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 17

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arxiv_id, observed 2026-07-03T00:27:29.749739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T17:12:50.216492Z digest=sha256:d6496389930d0030881842f2df77543207bf1dbb388ae4752e39743babbe23f3

Observation 04b957af-0272-4fe3-ab2a-4d86c2ab0332 · inbound

Improving Robotic Generalist Policies via Flow Reversal Steering cites this paper.

Improving Robotic Generalist Policies via Flow Reversal Steering Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 87

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arxiv_id, observed 2026-07-03T15:48:35.797738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T06:20:19.209180Z digest=sha256:5e17a977ac487e80deff4d88c260554003b443b53db925d1d5430db08c174de7

Observation a3c39299-0e20-4f32-a11c-bafcdd033e7b · inbound

Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline) cites this paper.

Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline) Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 11

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no resolver link, observed 2026-08-02T10:06:14.517417Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:06:14.517417Z digest=sha256:d0e0f9b2ff7213d39a56970fea0ded051784c4080b192f98bd9ea43024d9d34b

Observation d95dd179-3f67-4a83-a865-8737302ef49b · inbound

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies cites this paper.

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 22

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no resolver link, observed 2026-07-12T00:23:04.763773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:23:04.763773Z digest=sha256:288631f7c0045c42afde4a27a2676c879f368268f6bd04f2e882e914a7bc1fc9

Observation 80caa631-9739-431b-9cc8-25ac8d85ffb3 · inbound

FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space cites this paper.

FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 20

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no resolver link, observed 2026-07-13T06:05:18.192691Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:05:18.192691Z digest=sha256:c5d9d34756cda273c60d0deb3c1d44fbf4aaa32920d4d2adf7a59c538dad4120

Observation 03af78ad-c107-40e5-820c-216a2d35dd22 · inbound

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation cites this paper.

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 34

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no resolver link, observed 2026-08-01T03:37:50.009306Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:37:50.009306Z digest=sha256:e4887db5c461f8953db407d5c7142ba4f6a0be112614a317f9efeea5c4d0be9c