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Paper Citation Record · LEDGER

InCoRo: In-Context Learning for Robotics Control with Feedback Loops

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.05188.

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

pith.paper-citation-record.v1
2402.05188 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:12:25.956015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:36:58.980363Z

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 ce9a0300-202a-4575-b06b-f1391b32b172 · inbound

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation cites this paper.

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation InCoRo: In-Context Learning for Robotics Control with Feedback Loops

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:56:06.904400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T14:30:00.890117Z digest=sha256:ba6161f66c2e2e8522adb52432c33484aaebaa256863231a837383e0b664f019

Observation 55b3317c-8723-4a88-8408-8a82c5b6ddaa · inbound

Learning of Robot Safety Policies via Adversarial Synthetic Scenarios cites this paper.

Learning of Robot Safety Policies via Adversarial Synthetic Scenarios InCoRo: In-Context Learning for Robotics Control with Feedback Loops

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:36:58.981880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T01:12:25.956015Z digest=sha256:bf5a0a947045ffb0e749238245ebc6b7f5a3cb3523ca24105b078d70d8e4be66