Paper Citation Record · LEDGER

First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.02276.

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

pith.paper-citation-record.v1
2307.02276 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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:58.390579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T08:07:54.835964Z

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 cf283096-2bea-42d3-985a-e7cfcae9f2fc · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs

Reference 188

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:07:54.839963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 049b0a02-6458-4065-a8e0-0c367025c292 · inbound

Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.

Disentangling Exploration of Large Language Models by Optimal Exploitation First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:18:58.390579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddddd69d-57f3-4326-be17-fda7afd812cd · inbound

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models cites this paper.

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:10.708694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3267b21-5bd8-48f9-92da-3b1fa1e45fc1 · inbound

Behavioral Exploration: Learning to Explore via In-Context Adaptation cites this paper.

Behavioral Exploration: Learning to Explore via In-Context Adaptation First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:45.786311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.