Paper Citation Record · LEDGER

ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.15250.

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

pith.paper-citation-record.v1
2409.15250 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:42.766719Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.378290Z

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 21ea6122-de84-480b-bbef-7a3df3b139b2 · inbound

Generative Emergent Communication: Large Language Model is a Collective World Model cites this paper.

Generative Emergent Communication: Large Language Model is a Collective World Model ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T23:01:42.766719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1500b8f9-1374-4269-98c9-6bd200cab139 · inbound

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding cites this paper.

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:22:04.593277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 684c729a-edfc-4fbb-bbd3-a7e97714a1cd · inbound

Safe-Night VLA: Seeing the Unseen via Thermal-Perceptive Vision-Language-Action Models for Safety-Critical Manipulation cites this paper.

Safe-Night VLA: Seeing the Unseen via Thermal-Perceptive Vision-Language-Action Models for Safety-Critical Manipulation ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T18:44:44.202726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188e879f-53e1-421a-ba3a-3ee124aa92cf · inbound

AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models cites this paper.

AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:50:37.164197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6ac53b75-ae09-4210-910a-542fa16b2d87 · inbound

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts cites this paper.

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:26:10.346003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efbdb5b4-7b52-47b2-a260-236ef9541c4e · inbound

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts cites this paper.

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:45:59.368359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d94d2ed-2fa2-4fd3-aafb-a9685a87bd23 · inbound

World Pilot: Steering Vision-Language-Action Models with World-Action Priors cites this paper.

World Pilot: Steering Vision-Language-Action Models with World-Action Priors ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:18:03.379744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.