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Paper Citation Record · LEDGER

RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

As of 19 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 9 inbound Pith citation observations for arXiv:2508.02062.

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

pith.paper-citation-record.v1
2508.02062 v1

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:15:16.940030Z

measured 10 of 10 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:39:40.496275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:00:09.616475Z

Reference resolution

1 of 1 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83bfa36c-c890-4f31-b891-351aa34cd6e4 · outbound

This paper cites RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models.

RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T05:15:16.940030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:15:16.940030Z digest=sha256:c40bc63d1fd3cd732b7c971314d086297150c5b5420dd78841b5be41f6646ae3

Pith citing papers

Observation 83bfa36c-c890-4f31-b891-351aa34cd6e4 · inbound

RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models cites this paper.

RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T05:15:16.940030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:15:16.940030Z digest=sha256:c40bc63d1fd3cd732b7c971314d086297150c5b5420dd78841b5be41f6646ae3

Observation 6f9e3fb2-2f4b-4f51-8dde-23275b7f18c2 · inbound

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos cites this paper.

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T18:51:36.024764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:51:36.024764Z digest=sha256:5bc89bb471c19b9a161f631d9b4566eb99b04d9fec26686e54b0c198b74b1d80

Observation 3f4b1469-c9b3-4625-86d8-ce2570eea0e5 · inbound

Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting cites this paper.

Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T14:34:25.752891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:34:25.752891Z digest=sha256:4a326a7ba6c97f8196bcd892d2ff424564294334ee7fe28cd63a2a62dc72f287

Observation 1896cdf3-5e22-4e8c-a9c6-7c1d7bb127fa · inbound

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation cites this paper.

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.173759Z

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.

source=arxiv_source observed=2026-05-11T02:25:23.710842Z digest=sha256:e724a895d649575bdfab7833d49e1fed7a9203b0c1d5d130ec6002f15ad713b9

Observation 874b7ff4-3b2c-4cd7-aad1-ed0cdc6132af · inbound

FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation cites this paper.

FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:30.457937Z

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.

source=arxiv_source observed=2026-06-26T18:01:08.616612Z digest=sha256:c4d564fc2c9d1fe3c2a8353db35c246d6d2249c4b6869c14c6170c6acfdc4f96

Observation 1e2ccc34-4f3d-4b58-9517-9a5a7bcdda26 · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T21:00:09.618256Z

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.

source=pdf_text observed=2026-06-25T19:12:22.513577Z digest=sha256:82e0c7c12defa9b0577cfbd8db6c0771adf7d2ca7707a1d3d714609de5f5e83f

Observation 40733947-80bb-4553-885e-9502c3b2e8d6 · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:51.643045Z

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.

source=pdf_text observed=2026-06-26T05:11:07.089829Z digest=sha256:fd2f1e870827447edc2d7b76687a0ca7e64b3a19c700c15be90f50da28b13b58

Observation 991f3055-7b1e-4e86-b084-7f627d3266ab · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T12:05:57.682386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:05:57.682386Z digest=sha256:be3421c471e5fa49c8d14b7bd73c9c3a19392b4d55e07245753a51d84904ba31

Observation 7b68db90-0d21-4b5d-8502-9ea65dd1f2be · inbound

StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models cites this paper.

StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T00:39:40.496275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:39:40.496275Z digest=sha256:bdc423a1f67ce38ec34dd961b84a163e6582c59be175d5c8deb27cb1acbfa6c9