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Paper Citation Record · LEDGER

Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.05006.

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

pith.paper-citation-record.v1
2403.05006 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:20:25.791248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:13:13.622953Z

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 ead4f0c5-aa75-4294-afdc-61c37b25fd27 · inbound

Clone-Robust AI Alignment cites this paper.

Clone-Robust AI Alignment Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T20:15:11.860439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:15:11.860439Z digest=sha256:38e082a6cea07f22def31e93613a48d54f177a71d7b58eb745b2387d6cfa6be9

Observation 08bfe1a9-d6fb-4fab-90ad-64f0350a547c · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Reference 163

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.252571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.252571Z digest=sha256:d8f05b0d9a5066d5058305bc55014abf024d898e9c437a4939329758186e67e1

Observation f4234ff4-16d0-4713-85a8-19c432503dbe · inbound

Metric Distortion for Tournament Voting and Beyond cites this paper.

Metric Distortion for Tournament Voting and Beyond Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Reference 1928

Resolution
unresolved
no resolver link, observed 2026-08-15T20:20:25.791248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:20:25.791248Z digest=sha256:0d9723777533a7ae2bca59aa72e2e1bd960e8981b3e8f1dde3806e21cc1af96e

Observation 86890663-deca-4538-9ae6-381b1a419079 · inbound

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? cites this paper.

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T12:49:12.458231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:49:12.458231Z digest=sha256:0e7325f3336d132583827d5f0f7098e0cd34a107e437f4bba7733774d9437c87

Observation 3fcb66fe-0fc2-42c9-a6cf-fd8b5072d6a7 · inbound

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory cites this paper.

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T01:04:32.828481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:04:32.828481Z digest=sha256:9634aa27243c8772755f2102a0c1a1870a2fa72eb4a7964565107b9c3f932e8b

Observation e24cd083-7e1b-48b5-a078-67ba63e0862f · inbound

Reinforcement Learning from Human Feedback: A Statistical Perspective cites this paper.

Reinforcement Learning from Human Feedback: A Statistical Perspective Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:13:13.626028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-13T20:10:43.578904Z digest=sha256:9244dd051b378084d9ee1012ef57f24420179ecb5c0967fec976fe7f3ea06f02

Observation e82743ee-9914-43f4-96a6-9e78d24e51be · inbound

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration cites this paper.

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Reference 178

Resolution
unresolved
no resolver link, observed 2026-08-15T14:33:57.596229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:33:57.596229Z digest=sha256:d834559f74bed8f4d6c39f4ff206fade1afd9b90fbd20f11e351a4dd82a4e4f9