Paper Citation Record · LEDGER

Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.07453.

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

pith.paper-citation-record.v1
2503.07453 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:54:11.555391Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:07:45.297854Z

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 1accefff-7cf8-4e75-a659-1d2262aba6fc · inbound

SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences cites this paper.

SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T10:54:11.555391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f79341b-4f7e-4e93-af31-6edf627f5c71 · inbound

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability cites this paper.

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:56:30.806349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 121a3219-5509-4dcb-8413-376fa84b50a1 · inbound

RL Excursions during Pre-Training: Re-examining Policy Optimization for LLM training cites this paper.

RL Excursions during Pre-Training: Re-examining Policy Optimization for LLM training Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:29.015086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40105062-02a0-4e7b-9862-f4e83691c2f9 · inbound

The Power of Test-Time Training for Approximate Sampling cites this paper.

The Power of Test-Time Training for Approximate Sampling Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:07:45.299339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d44558d4-589e-4d64-bb46-56032da01c9d · inbound

When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon cites this paper.

When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:44:21.676876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.