Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.14718.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T00:19:13.584966Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T21:19:28.307743Z
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 d0938da9-4b0a-4b8f-87c2-1171d30e40df · inbound
Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models cites this paper.
Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:07:28.026247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2867da3b-c4ca-486a-9170-96976ded2c36 · inbound
Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models cites this paper.
Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:19:28.309888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f4729e51-fd38-4421-92ca-9cad72d06ebc · inbound
Exponential Reward Weighting for Fine-Tuning Generative Recommenders under Sparse and Noisy Feedback cites this paper.
Exponential Reward Weighting for Fine-Tuning Generative Recommenders under Sparse and Noisy Feedback Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:19:13.584966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.