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Paper Citation Record · LEDGER

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2409.11815.

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

pith.paper-citation-record.v1
2409.11815 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 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 2026-07-02T13:36:58.977909Z

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 8c499ce6-285a-4600-a69c-c5f292701e37 · inbound

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

Learning of Robot Safety Policies via Adversarial Synthetic Scenarios RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:58.979309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:12:25.956015Z digest=sha256:8ac9a1b4664521a5b1900d37a266dec14b6778a5cf660078cec19a916f2b71aa