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Paper Citation Record · LEDGER

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.02332.

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

pith.paper-citation-record.v1
2502.02332 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:39.299158Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T07:37:04.719767Z

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 2917b736-4708-4d6c-a94e-839588e3bc20 · inbound

The Role of Diversity in In-Context Learning for Large Language Models cites this paper.

The Role of Diversity in In-Context Learning for Large Language Models Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:39.299158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:39.299158Z digest=sha256:f25b30eccfea37ced293ebf851823a885b94b2625edbe6b74ed7f32936e5a5ea

Observation f129d589-0c70-4fce-9cee-63627b49746a · inbound

On the Gradient Domination of the LQG Problem cites this paper.

On the Gradient Domination of the LQG Problem Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:57.142267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:57.142267Z digest=sha256:37feaab77b8442ea4398d64ac3f91609fe6b17c8fbefd0d57854e8eb681f4f2b

Observation bf50c772-4d04-4a30-a485-46555d042a65 · inbound

Multitask LQG Control: Performance and Generalization Bounds cites this paper.

Multitask LQG Control: Performance and Generalization Bounds Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:37:04.721129Z

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=2026-05-10T07:34:29.215557Z digest=sha256:46f4f0d59783282c667e782db92c995994584cc420af01ab0b8a41559c306107