Paper Citation Record · LEDGER

Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.03966.

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

pith.paper-citation-record.v1
2409.03966 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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:26.726961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:30.743384Z

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 0735a5b0-3d82-4339-aa7b-ff4c591293fa · inbound

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models cites this paper.

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:53:37.329808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b3ceba0-937f-4688-9dce-193331f2c144 · inbound

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

$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:05:00.974652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c446b17-4aab-4453-bfaa-1ed2d935f510 · inbound

NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing cites this paper.

NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:26.726961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13fdbfae-22c3-40d4-b465-557026c58a59 · inbound

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning cites this paper.

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:30:47.036931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc613488-b161-4607-9dc1-cf63b1b85eda · inbound

FailSafe: Reasoning and Recovery from Failures in Vision-Language-Action Models cites this paper.

FailSafe: Reasoning and Recovery from Failures in Vision-Language-Action Models Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:50.966477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea669e99-ae9b-4468-9c40-8d6ec0532c54 · inbound

Back to the Familiar Future: Failure Recovery for VLA Policies via Pre-Imagined Milestone Selection cites this paper.

Back to the Familiar Future: Failure Recovery for VLA Policies via Pre-Imagined Milestone Selection Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:17:30.744996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.