Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.08199.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:44:48.223183Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T07:59:55.881558Z
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 ce78034a-9e93-45c2-91e8-fc6a4d23db04 · inbound
Reinforced Self-Training (ReST) for Language Modeling cites this paper.
Reinforced Self-Training (ReST) for Language Modeling On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:59:55.885760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 45f416fc-0333-48e9-97be-f7b45475e876 · inbound
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved) cites this paper.
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved) On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:44:48.223183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c342de01-9414-467b-87f3-1897be13fe44 · inbound
Next-Generation Sustainable Wireless Systems: Energy Efficiency Meets Environmental Impact cites this paper.
Next-Generation Sustainable Wireless Systems: Energy Efficiency Meets Environmental Impact On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:44:01.546632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.