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Paper Citation Record · LEDGER

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies

As of 5 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2606.08508.

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

pith.paper-citation-record.v1
2606.08508 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T18:35:24.934570Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact35
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eb33da5-c8ba-45f8-bcbf-7b5591a53ef5 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies RT-1: Robotics Transformer for Real-World Control at Scale

Reference 1

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local_arxiv, observed 2026-07-02T22:57:26.090931Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:ed6a303cf4ef9f62bf0d3c5d8bafc0e340d015d8e49fd25a6cfb6c010b7304b8

Observation 2f849f48-39fe-4c26-b067-e8d613f420b4 · outbound

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

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 2

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local_arxiv, observed 2026-07-02T22:57:26.050348Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:82bd4b5ba472c9f51841b31bb8165f5679b12b6f578f65c3cef95f9a0960a4f5

Observation 48a3a982-c157-4ead-b5f1-5801ed1f0d25 · outbound

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

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies OpenVLA: An Open-Source Vision-Language-Action Model

Reference 3

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local_arxiv, observed 2026-07-02T22:57:26.093117Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:18d0c7dc0178f06939ce022afa2555def39059d72e40f5e9442b29993aaf2a89

Observation b566a198-0e41-497e-ad1f-cad8201f2b81 · outbound

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

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

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local_arxiv, observed 2026-07-02T22:57:26.078052Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:044955a86a867c70e3c70d69de60a7a94616a45cfad0e14f23f57fb72be79fa1

Observation c5fa75c3-2fa2-4ebc-85af-a830c6ec3abd · outbound

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

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 5

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local_arxiv, observed 2026-07-02T22:57:26.062048Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:6a8c72054e3f36e6f1481a9eb18916e2659564fd704c405c11dacefe906a96e7

Observation 230a2ecf-1cec-4ddb-8b73-fe54df21d327 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 6

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local_arxiv, observed 2026-07-02T22:57:26.080428Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:61c7636a300bb11059598994069248e8a3754f07158f78aca3c3778632e8945b

Observation 577141c3-900a-42ad-be20-019401c7d82e · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 7

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local_arxiv, observed 2026-07-02T22:57:26.094726Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:54ce5192719e7b6bf1822e67c4cd49c949664f14dcd6c2a6368703d56c6b2326

Observation 45ea7e91-9cba-487a-8663-1f982e91e585 · outbound

This paper cites World Action Models are Zero-shot Policies.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies World Action Models are Zero-shot Policies

Reference 8

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local_arxiv, observed 2026-07-02T22:57:26.045672Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:80617c4dc976e8eee4c07e7c1add265fb6464ce8cd60a5e113699b875a99770b

Observation 75bbefb1-238a-43da-b075-67ae47c00dfd · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Cosmos World Foundation Model Platform for Physical AI

Reference 9

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:aed1e63a52a144d7dba123b8b1cdc8630bff18a854b5b726a172577f20a7a8f8

Observation 785b2474-2c95-4d6d-b53b-29f72878b7b4 · outbound

This paper cites RynnVLA-002: A Unified Vision-Language-Action and World Model.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies RynnVLA-002: A Unified Vision-Language-Action and World Model

Reference 10

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:9652a7ec41c62198f247484147893a1a43f06fb00a30f0bafbc92001854a4722

Observation afd46964-1e07-4df7-bcc7-f7726dfbfd8a · outbound

This paper cites Motus: A Unified Latent Action World Model.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Motus: A Unified Latent Action World Model

Reference 11

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:76d5dea0d403e87ace6359d2c730ad1d03a601795f9ecf8d920ec915262207d5

Observation fdf98ca0-814c-4bb6-96cb-80dfdb28087e · outbound

This paper cites LIBERO: Benchmarking knowledge transfer for lifelong robot learning.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies LIBERO: Benchmarking knowledge transfer for lifelong robot learning

Reference 12

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:7b928d3667d125891d29832342c239f3fedc553ec0af4c113eb50c755cc7080c

Observation c00f65a8-944d-4fbf-ad9c-46636cdc0f03 · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 13

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local_arxiv, observed 2026-07-02T22:57:26.059731Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:70c058a5088ee164b7fcff6ec3268abd9f896931d5d1dd3e0dae67ecb726ada1

Observation 723e2c1a-fbe7-4d5a-a626-fb10a6c023e9 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 14

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local_arxiv, observed 2026-07-02T22:57:26.048137Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:f0bf7875a40b11241c474f717ecf6aefaca60c612d49451d07a22a493a699a66

Observation 78d3c887-2a42-4dfb-a00a-9c7ff3cce9cb · outbound

This paper cites SAFE: Multitask failure detection for vision-language-action models.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies SAFE: Multitask failure detection for vision-language-action models

Reference 15

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:20bb9b01d9557deaf49e710c7e3aa4a84b7fb90bdb349dbdac378474e1c99fb7

Observation 2b401cb2-4426-45c5-ab49-655bb1a4f83b · outbound

This paper cites Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress

Reference 16

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:4a7d86abf07239ca1f8cea8ea760a28fea2d5276e9ec336407b8de1050590080

Observation edbe1ff5-3f87-47b5-8b3f-975dbe9dca16 · outbound

This paper cites Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning

Reference 17

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arxiv_id, observed 2026-07-02T22:57:26.075660Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:17ecde629a50ff605255b36c5418cb45e36b69ca5418a10bcc36191f63a4955e

Observation 903cb375-d718-4807-989b-48538d11a557 · outbound

This paper cites Multi-Task Interactive Robot Fleet Learning with Visual World Models.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Multi-Task Interactive Robot Fleet Learning with Visual World Models

Reference 18

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arxiv_id, observed 2026-07-02T22:57:26.073526Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:3d1630f091ee2141d7648cb0ebaefead371dd83f2c0fc23909e44250be5dbf36

Observation e9aa56da-2e6b-445c-9ccd-bf172f869a63 · outbound

This paper cites Real-Time Anomaly Detection and Reactive Planning with Large Language Models.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Real-Time Anomaly Detection and Reactive Planning with Large Language Models

Reference 19

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:333b2335d9d1ba6e500747f71d15db5495f5037f680a1a425e0d4b8d94541dbe

Observation 151f1fd9-3cb7-4dd4-a5fc-34d147a0f0e1 · outbound

This paper cites Asking for help: Failure prediction in behavioral cloning through value approximation.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Asking for help: Failure prediction in behavioral cloning through value approximation

Reference 20

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:65fefc3f94fdad141377955f45cc183f36a99bb5bfeadf416be63a039988e6d4

Observation 0bbc9ae0-d753-4029-9f18-90ad455415cb · outbound

This paper cites Vision-language models as success detectors.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Vision-language models as success detectors

Reference 21

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:c58f0bd45f0bc9f1a6297d37fbcac832c8ee5f27d0c29afa84d2aa73354fa642

Observation 130146db-c909-4032-8762-fdc5ffe0804b · outbound

This paper cites AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation

Reference 22

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arxiv_id, observed 2026-07-02T22:57:26.064895Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:1756485c42eadde840ea251e9f260fa2814d329258c17b361af8f1305a208fd7

Observation 8c8c032a-d6f0-451d-9eb9-8836551635dd · outbound

This paper cites Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Reference 23

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arxiv_id, observed 2026-07-02T22:57:26.076402Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:8211a0eb4694042cae1c948424fc6ba99e929074346b051130daec1e65593cae

Observation 60d07094-3abb-4fba-bb0b-7c4de23e8d01 · outbound

This paper cites Schoellig.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Schoellig

Reference 24

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:fed5649bfe7c8188d12280155329fd0152187e6503bbfdc130eb1156177d5792

Observation acf199e7-17fb-404b-9380-3900051e100c · outbound

This paper cites Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models

Reference 25

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local_arxiv, observed 2026-07-02T22:57:26.034957Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:8a24e3957f09adb7cdc8dfc6bcd422422f103cd97d724b5069442446168176f4

Observation abbe5a0e-f535-44d1-9a63-dc58e8dcbe5f · outbound

This paper cites Diff-DAgger: Uncertainty estimation with diffusion policy for robotic manipulation.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Diff-DAgger: Uncertainty estimation with diffusion policy for robotic manipulation

Reference 26

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:bcc3b44c50d3824d86d63383b26426dc3776541a5354d600b139660f0e67a808

Observation 6c4f0a8a-ade9-461f-a22d-c7db69165316 · outbound

This paper cites The coordination of arm movements: An experimentally confirmed mathematical model.Journal of Neuroscience, 5(7):1688–1703, 1985.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies The coordination of arm movements: An experimentally confirmed mathematical model.Journal of Neuroscience, 5(7):1688–1703, 1985

Reference 27

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:69e64347621916f58eeb3329953d10cd784fc9927d6e302c18f8562d291dc6bc

Observation de8f7c7a-3179-4d09-816b-d7a1951cd648 · outbound

This paper cites On the analysis of movement smoothness.Journal of NeuroEngineering and Rehabilitation, 12:112, 2015.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies On the analysis of movement smoothness.Journal of NeuroEngineering and Rehabilitation, 12:112, 2015

Reference 28

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:2971f40ff470de7eb7807d36c75d2bb5686b0185d4d9c59866ebfe4c2ff1410b

Observation 3162df0b-554f-481e-ae11-4db04512716a · outbound

This paper cites Fonseca, and Viviane Grunert da Fonseca.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Fonseca, and Viviane Grunert da Fonseca

Reference 29

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:005eabb2bbee30a94d9c0c37f377ab3909b170e6a1cc85adf06033916886fff0

Observation 0434c8da-a094-4bba-9da6-d41cf87cd521 · outbound

This paper cites Rlinf: Flexible and efficient large-scale reinforcement learning via macro-to-micro flow transformation.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Rlinf: Flexible and efficient large-scale reinforcement learning via macro-to-micro flow transformation

Reference 30

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arxiv_id, observed 2026-07-02T22:57:26.084088Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:6cae37a49feefd95733b2a3310b22453d0a65e3e4b453bbedeefcf86d8c6f026

Observation 31442051-3c71-4794-8fb3-b34c27b820fd · outbound

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

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 31

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local_arxiv, observed 2026-07-02T22:57:26.082699Z

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:b8d6f14fddbc3634fbbb2b8bc12a9d070cf2b2c08c707ce4ac86cf1392cdf7c7

Observation 7e44182f-bef4-46a1-a700-abc6f05c7e40 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 32

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:57a1e4cd5db7220dad32070fdc7d57b5d72a63c11ce1f00b1e18ee23df23557d

Observation b123ca68-7a3a-4dbc-a7e8-eed8b11e240b · outbound

This paper cites Tenenbaum, Dale Schuur- mans, and Pieter Abbeel.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Tenenbaum, Dale Schuur- mans, and Pieter Abbeel

Reference 33

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source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:d400871d5d6a9b5b9d632cfd9f1fdbe9f734f9d1f8ffa7635f448c0cba8a7acc

Observation cc46c04a-6938-4b25-b5ca-42c2a9d05821 · outbound

This paper cites Learning Interactive Real-World Simulators.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Learning Interactive Real-World Simulators

Reference 34

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local_arxiv, observed 2026-07-02T22:57:26.070655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:eb5d6d55eea6ba9c723956f730af2edb66ae6ea24e824f621a8d30e16353b7bc

Observation 81e243c8-f194-45eb-bc9d-c5398cf060d5 · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.073083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:532821fb5d3ca4179c46c584bc9a4ca8604bdcecc96686f63ffbd903d12b42d2

Observation 2511c2e3-30cd-4c1c-a38c-cf65c7d0fde4 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.088694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:c6bc665ab1e07a7307c159d60bf4633c62d8b747ae3fec0a710671d91b80ca71

Observation 455ecb0e-24b8-4c6a-91e6-33c9f55e1e90 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies The Internal State of an LLM Knows When It's Lying

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.092223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:9249f1b0f0b3b12175184059173896cd26ba6314a4fe614732a4dfdf583bae23

Observation 43eddb91-d52b-4c64-96a1-5814656d16f4 · outbound

This paper cites Language Models (Mostly) Know What They Know.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Language Models (Mostly) Know What They Know

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.043299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:c1bbfb8cf0d2ae994d1b7d127f0964ac254a6cb0dbab13bf0eaba2a96e29ad65

Observation 82d3dc68-35f4-4c32-967e-de0324816072 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.019551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:f70ad30d522dc5d8ae185d7dc0e4b5687f93f955c69e0c1c49ddb1f055aeffdd

Observation bd335cd2-2395-42b1-a2fa-24fa1c28ff8f · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.084959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:3c57952de9e7d9b71b6f971146fc9807394685a010015f3cc6b4c5346d60b633

Observation 0fa7db9d-48ac-40d1-949d-acf65c42b44c · outbound

This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.064972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:350fea3bdc826396765259c02424bd03268fd5a5fec59cd06362266c8bcb4dcd

Observation 930b4033-fc2e-47c8-a1d7-6292dd1897aa · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.081537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:5c2b264c8e1587e6a2ba3a811a15ecafc19e75f2891ac51a010958eeaae32c99

Observation 5b4b0ec0-027e-4a43-8940-5fe6038a6c64 · outbound

This paper cites Uncertainty comes for free: Human-in-the-loop policies with diffusion models.arXiv preprint arXiv:2503.01876, 2025.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Uncertainty comes for free: Human-in-the-loop policies with diffusion models.arXiv preprint arXiv:2503.01876, 2025

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:57:26.087519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:6d370482f2440304ea53ecf8b2f31f9fa90e8350ae5a0df9d8a65ff57364dc2b

Observation 20ee2112-3e8a-4969-9545-9fb22549297a · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.086338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:03a45dc6bf44c9394b1c7683f5e80dd3731c99d0c503480d37ff4ddd76729b46

Observation c4d6d346-b0e5-43ab-beeb-64f53631bfce · outbound

This paper cites Gammerman, A.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Gammerman, A

Reference 45

Resolution
verified exact
doi, observed 2026-06-27T18:41:07.969072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:17df7834b5c8811d4f37592fc55245d7a6f31d1819df4a38430ed20f896cceb0

Observation 47f7569e-8bd0-47f7-bb6d-7d9ca084b012 · outbound

This paper cites Proximal Policy Optimization Algorithms.

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Proximal Policy Optimization Algorithms

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:57:26.011670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:35:24.934570Z digest=sha256:4e23601ce937ef1987a3c321cab179f3eda97641ad195da8a0c34877860a2878

Pith citing papers

No inbound Pith citation observations are available.