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Paper Citation Record · LEDGER

GRAPE: Generalizing Robot Policy via Preference Alignment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 inbound Pith citation observations for arXiv:2411.19309.

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

pith.paper-citation-record.v1
2411.19309 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:38:41.768698Z

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

1
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 83a3fcea-f4b4-4d05-886d-741da72770f3 · inbound

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

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 44

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arxiv_id, observed 2026-05-14T19:48:48.806390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:48:48.725800Z digest=sha256:370bb6c7073dc05555c137079de5c38abbab360b5e172833b90093625a7a98d7

Observation d799988c-429d-4e5f-9812-7004b9454f9e · inbound

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning cites this paper.

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 29

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arxiv_id, observed 2026-05-23T01:32:22.363054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T01:27:33.123243Z digest=sha256:ef1d084d62f982fb0de5541f8cfa45728419821e642306fc0f35ebdd6fbcfded

Observation 2fe91573-9106-4706-b7c4-aa0c4edc2f88 · inbound

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

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 28

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verified exact
arxiv_id, observed 2026-05-11T15:09:24.594651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T15:09:24.367362Z digest=sha256:1c7ac243e2503d247e99872031834676964815e8969bc7e7b6652df79b52982d

Observation a6898c71-0575-4ffd-8d6e-122c1bd2b242 · inbound

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

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 92

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verified exact
arxiv_id, observed 2026-05-12T15:28:06.959009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T15:28:06.883492Z digest=sha256:819cde5eb27b1dafad828657d408454cb4883d6dd484d133c99d31ecd9cfbb09

Observation a50457bd-f4cd-4f9a-a775-a7e4dfb9c6c6 · 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 GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 89

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metadata mismatch
arxiv_id, observed 2026-05-16T12:55:40.398126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T12:55:40.245908Z digest=sha256:d82762442e1c8ed468c171e02b01901dd624320a87d30e2b926264f3233c4be4

Observation 4bface85-924a-42ee-a04b-36476e85f515 · inbound

Adversarial Attacks on Robotic Vision Language Action Models cites this paper.

Adversarial Attacks on Robotic Vision Language Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 91

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unresolved
no resolver link, observed 2026-08-07T11:11:40.572064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.572064Z digest=sha256:ba42f5b355dc97f2dcb09a85b02c2d52e9c8cd6e6e2ae2c0d3f1c91b8019c182

Observation 29e67213-daad-427c-b70d-6acbf6f1b574 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 258

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:37.279568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:37.279568Z digest=sha256:26a6fa75107668d02b8bb6a7fbe2501155a17843b29d6f41c83d717c5105b94b

Observation 8878e613-9cc9-4eda-923c-404de6112c0d · 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 GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 177

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arxiv_id, observed 2026-05-17T20:28:16.109526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T20:28:15.818016Z digest=sha256:2a02485d1b8944b54cd559b7ed5ad47225bef29dbace0c5446fe5485ed113a36

Observation 02898c68-a010-4aa3-adf2-0cfe4243bf80 · inbound

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models cites this paper.

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 40

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unresolved
no resolver link, observed 2026-08-05T10:30:23.688049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:30:23.688049Z digest=sha256:32b2cc313a34f431850007c278e47d16b52bcb97f1cbd223ee19eaaa0e42f52c

Observation fd5ff45e-a0ba-4ba4-952a-a685a8f4638b · inbound

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning cites this paper.

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 38

Resolution
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arxiv_id, observed 2026-05-15T08:02:11.464210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T08:02:11.189795Z digest=sha256:1fcc2cdcbe2ed1c5e1420cf059c266f78693be7f8d6321401023ee6141e12e36

Observation 54f664df-f197-40ff-89df-f5497b457f57 · inbound

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models cites this paper.

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 30

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unresolved
no resolver link, observed 2026-08-04T10:24:57.958256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:24:57.958256Z digest=sha256:bfaf7205d72472f80a85381efb3765945a514fcaceb2ff6b78acca6a70e1ecdf

Observation 40ef77c0-734c-44db-9fd0-8c8f4fb483ea · inbound

Reflection-Based Task Adaptation for Self-Improving VLA cites this paper.

Reflection-Based Task Adaptation for Self-Improving VLA GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:31:02.933528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T07:28:11.187479Z digest=sha256:f4d094f579c2c66fd006f8b072399014e723794cae340cad76048d7f3417655c

Observation a64082d7-3ec8-4d36-bd0f-2c30aa744d6b · inbound

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation cites this paper.

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:10:57.868145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T06:10:47.309028Z digest=sha256:d396f83a9363808a590e19d97cc642846dbdd61516382331a02bc260e2920ff2

Observation 1dd654af-0a47-4061-a394-7a1a3f3bf613 · inbound

$\pi^{*}_{0.6}$: a VLA That Learns From Experience cites this paper.

$\pi^{*}_{0.6}$: a VLA That Learns From Experience GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 45

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verified exact
arxiv_id, observed 2026-05-12T10:34:59.387695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T10:34:59.134604Z digest=sha256:752678e9e5074f820fee0dfa5e1ce94bf9fa6027e5969d4ea130f29446269e40

Observation eb701436-3068-4bac-a2b7-ca52cf2f6edc · inbound

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models cites this paper.

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:10:48.869856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T03:09:09.713822Z digest=sha256:9ade02bf846e354740546b58401d2bf6b3ddb0c005d4a9d9f6d7266f43015273

Observation fd542b69-2fa3-45a5-a2df-22e01d8028ab · inbound

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models cites this paper.

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T13:53:27.515205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:53:27.515205Z digest=sha256:478c6bd80486e5578c75efee594b381b722599197c6725993f605a427fb39d4d

Observation 62cb33a6-30c1-48ce-b3d1-b892d91f022f · inbound

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation cites this paper.

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:14:10.900849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T13:13:53.818915Z digest=sha256:31fc068d71ab654065ba00219fb517512b6bedd48579b3d15c7910c1371224ce

Observation 904c8a16-d0a8-4b19-8bae-3e0284a62a0e · inbound

SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning cites this paper.

SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 73

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unresolved
no resolver link, observed 2026-07-13T16:10:12.689957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:10:12.689957Z digest=sha256:c9835f8c812756717d8b25dfacca2b2af54705e5f005522587e04f88403cc776

Observation 42866686-c264-452a-a320-63705cc5313b · inbound

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning cites this paper.

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:30.009180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T05:47:17.494531Z digest=sha256:0b920c7d2afd3c9cc8e0ad95ac1a1b7e55fef8eaba6af054a711674ddb230eaf

Observation e7e21ad5-2002-4d86-9cfb-3157990b3a32 · inbound

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning cites this paper.

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 38

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verified exact
arxiv_id, observed 2026-05-11T22:17:03.135989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T03:00:26.352130Z digest=sha256:a7f1a644c2cc6ae34cdb22312c9416ae8253dc0d326ef02b39fff2dcc43f9b1f

Observation 5605a0c1-a662-42a1-acba-56c0b3227373 · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 27

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verified exact
arxiv_id, observed 2026-05-11T15:36:10.861354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T19:31:38.069592Z digest=sha256:df9ca689c2ee23d5f0c7085cad6b84e2006311c79c4e8f0a26817a73950fb27f

Observation 8446b9d6-3128-4dda-b251-182de97f9328 · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 27

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verified exact
arxiv_id, observed 2026-07-01T08:15:32.297095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T08:05:47.128354Z digest=sha256:336b5709319c082b8b0de6bf9533b19d6ac2347518b97c54e357a718ff14e22a

Observation 14c156f9-c290-4a3b-b2ff-a42e8914e864 · inbound

ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation cites this paper.

ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 74

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arxiv_id, observed 2026-05-12T01:41:19.940732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:40:22.192349Z digest=sha256:3d7379c37b09345bc3051e09c12431ee77b1bc74faba06a58476d25bde3bde44

Observation 406737e0-8593-4ee5-98f8-7b550cf92ba6 · inbound

RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models cites this paper.

RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 19

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verified exact
arxiv_id, observed 2026-05-12T06:01:25.984235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:39:32.715650Z digest=sha256:cd3201a21a0a5e96c8d73c4d8b63e54fc0a0466a05cd8a91c4e2c9235c29045e

Observation 5e16325d-038d-4ed9-998a-680fd90a8f0c · inbound

From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation cites this paper.

From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 55

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arxiv_id, observed 2026-05-13T04:57:17.884932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T04:44:03.661688Z digest=sha256:e547812b5b7572e4f8af724ae2b1d491869b36bdf389b4acdf06a857982e7d24

Observation c38a1916-b160-4388-893a-8d8bf55445c7 · inbound

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization cites this paper.

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 191

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metadata mismatch
arxiv_id, observed 2026-05-20T12:43:17.293277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T12:39:50.004269Z digest=sha256:e70c19c235adf9cf94bef85dfd5c20d475bde564930cb547c258acd249e9edc1

Observation 5114bd6a-3171-4846-b807-df20d8a2dfa4 · inbound

PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models cites this paper.

PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 29

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arxiv_id, observed 2026-05-20T05:13:03.383440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:12:26.907425Z digest=sha256:e362bb2132ebe4ad12cfa85f4d8ab584b36852ec63d07ae07e7bf77c8bf53fba

Observation 9a8982b7-5c89-4284-bcae-25bde5ea9884 · inbound

Position: Good Embodied Reward Models Need Bad Behavior Data cites this paper.

Position: Good Embodied Reward Models Need Bad Behavior Data GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 34

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arxiv_id, observed 2026-06-28T17:22:24.973243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T17:18:17.337336Z digest=sha256:23c0b8431cacb03ade15d77195ed12cdd894267236658b2fe4fcc3c7148b56a0

Observation 02a91f91-65be-4ab1-a6f7-ca0aaa2d4ece · inbound

FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization cites this paper.

FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 20

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verified exact
arxiv_id, observed 2026-07-02T09:06:49.389175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T05:38:11.089753Z digest=sha256:0213dd643c4b81be00bfbd324ebd02819bb440478e04cf25814a0ed202273b1f

Observation 7f8b034d-70c4-4bbb-b528-7fe26894c452 · inbound

UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning cites this paper.

UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 48

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verified exact
arxiv_id, observed 2026-07-03T10:58:02.728427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T09:46:59.746745Z digest=sha256:6d8b6f882431571aa8491178c1e9141d615fc6626c4d5d81b8d35fb753db8487

Observation 627851db-f62c-4f08-9b3e-9bb97f8af871 · inbound

Foresight: Iterative Reasoning About Clues that Matter for Navigation cites this paper.

Foresight: Iterative Reasoning About Clues that Matter for Navigation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 21

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arxiv_id, observed 2026-07-03T11:28:04.175007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T09:35:05.441401Z digest=sha256:afeb9e13174a83615cd7e956967fd4053c06d1852c565b1b790ee1a47228ea52

Observation f7277805-4317-4e28-9e61-fc005ca76c40 · inbound

Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack cites this paper.

Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 53

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unresolved
no resolver link, observed 2026-08-02T11:31:37.690666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:31:37.690666Z digest=sha256:6f33c880d47d4458e5ddd060369e05f826175dbdd93b742b6dd28aad107cf5c1

Observation 62cfe2bf-a65b-4d10-9fe0-c2e626669ab7 · inbound

SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model cites this paper.

SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 24

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verified exact
arxiv_id, observed 2026-07-03T17:18:44.353030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T04:13:22.598591Z digest=sha256:bde6b139657e3e96b98517bd374cf6faa843a5b27b152411d07968e8b9c8f770

Observation dd067f52-1652-4806-8e97-4d554a3ac16d · inbound

SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model cites this paper.

SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T04:20:31.958581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T04:13:22.598591Z digest=sha256:c3cfe439b6190d4e2f8ed73dd68062accd9f5b63681a6a5a1e09379c2b6f4036

Observation 3e82a913-f3bb-4323-ad4c-b10b8512e9dc · inbound

HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning cites this paper.

HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:29:45.655525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T08:45:04.483217Z digest=sha256:5abf69e12f7f355591f4997cb34694c8299d936932443717e48fb74ed54d43b0

Observation 37132ba4-8cb9-454d-87ad-233ba7680559 · inbound

Learning Process Rewards via Success Visitation Matching for Efficient RL cites this paper.

Learning Process Rewards via Success Visitation Matching for Efficient RL GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:44.474130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:20:35.062060Z digest=sha256:ce55084b84165a0b342340123bb1a3c65ea2cdd3e0c00f2e2ca639a35d9fec6c

Observation 276ca8c9-6be5-404b-8e94-6c71abf6c499 · inbound

ROAD-VLA: Robust Online Adaptation via Self-Distillation for Vision-Language-Action Models cites this paper.

ROAD-VLA: Robust Online Adaptation via Self-Distillation for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:20:07.062167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T20:22:16.508280Z digest=sha256:6ff3268b7fb809502a754453b0bd9fdb511fe6b44637834b7690927004ede1de

Observation f7e59c4a-1b10-4957-ab3e-fd326e41c4b5 · inbound

Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action Models cites this paper.

Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:04:21.163124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:02:15.781538Z digest=sha256:e35f0fb29d7819c917e22811d0cde81b5fe049d377b2220d31481ca0b945d2ef

Observation 5c19d9a5-74d1-4f82-8f75-e53ecebe2fc2 · inbound

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning cites this paper.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.789741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:0bf523541ac9f5da6f7b5642baf3cbb88ca44f8e40073715dc52a9b6eaa1d785

Observation 534908e9-3bd8-4b9e-a92e-584e4d8aa8a2 · inbound

Freeform Preference Learning for Robotic Manipulation cites this paper.

Freeform Preference Learning for Robotic Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:55:41.966122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T04:58:28.971536Z digest=sha256:9d25bcf363561b163f60db1bce3ead32fee3336ea340e5dd03dd8f4fe0d94026

Observation 2d48f57a-1bc6-4b95-bcde-dd18adfd100a · inbound

Freeform Preference Learning for Robotic Manipulation cites this paper.

Freeform Preference Learning for Robotic Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T16:55:18.028851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:55:18.028851Z digest=sha256:55b9bbf87e73a24171d219ec036c24b59d2fb129422080b6decef1395dfdd7d4

Observation 1b5e5b47-3b10-4bcf-8972-443f065ab236 · inbound

Freeform Preference Learning for Robotic Manipulation cites this paper.

Freeform Preference Learning for Robotic Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:19.142604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:32:19.142604Z digest=sha256:994e0c7dbc323bc192e5fbb97e018d625176822b99954ad26f386b3066fc17d3

Observation 2f0f7346-005b-42ac-ba88-c2df11dc3a3b · inbound

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models cites this paper.

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-30T14:45:01.915411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:45:01.915411Z digest=sha256:09dfcdf28b6f37540e762a8c2bec2cbca38f2b6fd36c8660f18372c959fbf3f7

Observation 8247ecf9-282f-4cea-99d9-e682e690fe3f · inbound

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models cites this paper.

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T10:23:14.040221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:23:14.040221Z digest=sha256:7e0de2bfb72e98f0a2e18c46fe886b82d1eb9c69efa94f8f87a4705fc184478f

Observation a95f753a-b662-479e-bbb8-80748f72cebb · inbound

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy cites this paper.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T01:32:25.304633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:32:25.304633Z digest=sha256:0963fd6460216db4ae10739e908b1b6b1d2466681d0aea7dd89641fe488d8639

Observation 97963ac0-26fe-4a7e-b568-b59535017128 · inbound

Beyond Flat Policies: Hierarchical Post-Training for Embodied Agents in Robotic Manipulation cites this paper.

Beyond Flat Policies: Hierarchical Post-Training for Embodied Agents in Robotic Manipulation GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T19:38:41.768698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:38:41.768698Z digest=sha256:d00997dd361f9bf363c2d8307fcf13b64a421cb62960e563c6cc9eb36789f666