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Paper Citation Record · LEDGER

C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.02236.

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

pith.paper-citation-record.v1
2410.02236 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:56.817094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:16:23.345817Z

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 9219ab43-7c5e-4305-969b-4431df926d3b · inbound

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models cites this paper.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:56.817094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:56.817094Z digest=sha256:1d50bc1f556f3c193fc0063347459cfa8a6cf2be196fb09c5825d0a11c477061

Observation 16d852c8-4d0a-4a3f-a251-7cd1f5171ca8 · inbound

Coordination Graphs for Constrained Multi-Agent Reinforcement Learning cites this paper.

Coordination Graphs for Constrained Multi-Agent Reinforcement Learning C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:23.348325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T14:36:01.449781Z digest=sha256:50d99387431c8256daa7cf3238916ffeadcf29b5ad4fb32669e97a3641bacc11