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Paper Citation Record · LEDGER

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.11711.

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

pith.paper-citation-record.v1
2402.11711 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:57.803140Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:59:51.001000Z

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 8fff030e-b612-4ad9-8c98-658c40399054 · inbound

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment cites this paper.

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:57.803140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:31:57.803140Z digest=sha256:4d9858223700cb96fe1ef44c397d343c4098e5657693a237e4c8bb4dcf87789f

Observation 0e8a1754-af48-41bf-be49-61af7d2a3080 · inbound

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance cites this paper.

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T22:50:36.495156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:50:36.495156Z digest=sha256:37551128b7971925e8c73f404993883b5eef7fe845c3a671f3e10ab42a34fe81

Observation 1426b57c-fdfb-4178-bbdc-83f2b57d8363 · inbound

Spectral Souping: A Unified Framework for Online Preference Alignment cites this paper.

Spectral Souping: A Unified Framework for Online Preference Alignment MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:59:51.002820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T07:54:56.356555Z digest=sha256:9208e12275d62ccb6e0e6372fd9b05cb70587690eb48f5e8d9f9469c889c3e27