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Paper Citation Record · LEDGER

Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.02160.

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

pith.paper-citation-record.v1
2401.02160 v1

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:27:27.637124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:17:35.951074Z

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 bcfdfcf6-d5da-493f-aa8c-a5fe1d2603c2 · inbound

Humans Coexist, So Must Embodied Artificial Agents cites this paper.

Humans Coexist, So Must Embodied Artificial Agents Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-08T21:27:27.637124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:27:27.637124Z digest=sha256:b842d687059dcaa1837bfa7a0bce26e902208cff9c9d01736d530344ffb1d5c1

Observation 420d363e-a9f4-47b2-bd3e-6ef4f759e91c · inbound

Preference-based Multi-Objective Reinforcement Learning cites this paper.

Preference-based Multi-Objective Reinforcement Learning Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:17:35.956243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:17:35.855636Z digest=sha256:91fd8c3656b819b103b60f952094e932e46c58e37de9ac021305afbcc1bdf23b