Pith. sign in

Paper Citation Record · LEDGER

Everyone Deserves A Reward: Learning Customized Human Preferences

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.03126.

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

pith.paper-citation-record.v1
2309.03126 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:53:22.633115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.603269Z

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 6a57490a-1db6-40cd-8f02-6deee861bca8 · inbound

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill cites this paper.

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill Everyone Deserves A Reward: Learning Customized Human Preferences

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:26:27.214211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T10:53:22.633115Z digest=sha256:f1f2e94da37ca3d4dfb5a5c7a4b9e0e4994aad42295ae018d80343fa8ed4c4fb

Observation fb0b442f-5370-4454-97c0-6fab6dfe6304 · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling Everyone Deserves A Reward: Learning Customized Human Preferences

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.604901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:00:05.900814Z digest=sha256:f97b3741048f6109f7751789b63b56fdf5c5a68fd4efe818f2a1e55671b97cb4