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Paper Citation Record · LEDGER

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.02102.

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

pith.paper-citation-record.v1
2110.02102 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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:05.896856Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:36:30.057820Z

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 aa7c5c56-21c7-4826-8abe-814ee965d67f · inbound

Parseval Regularization for Continual Reinforcement Learning cites this paper.

Parseval Regularization for Continual Reinforcement Learning CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:05.896856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:05.896856Z digest=sha256:6b121d9bd6418ddec87d1744a0ae31c28473f9d9b5d3d2074b1533dfe9b1f0e5

Observation 66e39cc1-ef81-4a38-92bc-bdc74a42aa97 · inbound

Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners cites this paper.

Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T23:14:16.339265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:14:16.339265Z digest=sha256:fbe733cd99232f71eb647feb0e4fc8ef42bc283805206a6c928ec963b1dc38c3

Observation a2d89634-03bf-4dc4-8055-664aedc0f017 · inbound

Zero-shot Imitation Learning by Latent Topology Mapping cites this paper.

Zero-shot Imitation Learning by Latent Topology Mapping CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:36:30.127152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T02:31:58.729048Z digest=sha256:2f87d23ec11bbfcaf2cb49962b389c020f487b7193a67c9b61faac46191d4e7f