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Paper Citation Record · LEDGER

Contextualize Me -- The Case for Context in Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.04500.

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

pith.paper-citation-record.v1
2202.04500 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:52:13.908894Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:18:59.640650Z

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 66e70c79-1bbf-469c-9919-85ae5252b7d9 · inbound

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy cites this paper.

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy Contextualize Me -- The Case for Context in Reinforcement Learning

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:18:59.644271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T06:18:51.073571Z digest=sha256:4a82d213d8b6843556059dd02058d2badc787e1e13230e169a03880b6548522b

Observation 80d33c75-105c-46b1-9604-129ad6c61152 · inbound

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers cites this paper.

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Contextualize Me -- The Case for Context in Reinforcement Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T18:52:13.908894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:52:13.908894Z digest=sha256:20461de3075356e239fe57e9001c375929280a3b36d8c6a28becc5a8202d9908

Observation 930e4926-5eb3-4d39-a6a4-8b94aac96986 · inbound

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing cites this paper.

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing Contextualize Me -- The Case for Context in Reinforcement Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T11:22:28.831842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:22:28.831842Z digest=sha256:ae58cb0c66cc4d67e0d077a6df689bfbbc5bc7ae8b4afe284c7be8ade0ca86b2

Observation 5018cdb5-3894-49c4-b34a-cfbb0697282e · inbound

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning cites this paper.

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Contextualize Me -- The Case for Context in Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:23.112029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:37:23.112029Z digest=sha256:0158e4bc86f88b5508e817ca580d7f817ea400061de6c39e4ec3cff674661066