Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.07914.
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 2026-08-09T11:22:28.826130Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:59:40.610458Z
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 f57a25b6-fd3f-4e7a-b931-8f65302520c6 · 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 PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:22:28.826130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52f95e38-7c22-4f83-85bf-7b7d08fbb034 · inbound
A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets cites this paper.
A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:41:41.806542Z
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 21d65909-4359-483c-8c95-c234f0721b3c · inbound
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T07:59:40.611967Z
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.