Paper Citation Record · LEDGER

Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.01971.

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

pith.paper-citation-record.v1
2410.01971 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:18:43.252360Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:31:58.978117Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3ce77235-0230-4751-ad79-d126cc403196 · inbound

From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment cites this paper.

From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T14:27:40.978978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de93102-b7f0-43f9-924f-c83d4ff5d8b7 · inbound

Predictive Red Teaming: Breaking Policies Without Breaking Robots cites this paper.

Predictive Red Teaming: Breaking Policies Without Breaking Robots Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T15:04:10.944309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7900ce-c109-4cbb-abac-f3827499a9a6 · inbound

Towards Safe Robot Foundation Models Using Inductive Biases cites this paper.

Towards Safe Robot Foundation Models Using Inductive Biases Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:43.252360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e12293da-265c-4756-b7e4-4cb05abb2b2f · inbound

Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence cites this paper.

Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:49.729209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171bb5be-add2-4f07-9a49-c7928b3fe600 · inbound

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control cites this paper.

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:24.101858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b6d0b1-e046-4c62-85bd-67df50ba72e2 · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:31:59.051016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.