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Paper Citation Record · LEDGER

Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.08942.

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

pith.paper-citation-record.v1
2503.08942 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.166838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:28:21.279200Z

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 d5d3765e-0dfd-4e57-8cae-406d66476daf · 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 Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback

Reference 137

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.166838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.166838Z digest=sha256:08155f43fe508173e17df4c5228c60b6bf5dbd75851b4ea6684aff97c7a0c9c6

Observation 5cd7e6c0-792b-4999-8f7b-1ef62dfc01ff · inbound

Sign-SZPO: Provable Preference-based Reinforcement Learning with an Unknown Link Function cites this paper.

Sign-SZPO: Provable Preference-based Reinforcement Learning with an Unknown Link Function Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:14.045330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:20:14.045330Z digest=sha256:57d041341cf2f266bfdfc4c0b977ba76166f6032396887291957e986011932d6

Observation 95a1eeb1-752b-4012-a402-27bab3384241 · inbound

Multiplayer Nash Preference Optimization cites this paper.

Multiplayer Nash Preference Optimization Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:11:24.103703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:09:54.433720Z digest=sha256:e55011d911468bb3d0316028ca5cbbd53c7dd8c1d2a0cff9b9fedb115c069590

Observation e730ae52-9436-42c0-bc19-1591dddadcc8 · inbound

Towards General Preference Alignment: Diffusion Models at Nash Equilibrium cites this paper.

Towards General Preference Alignment: Diffusion Models at Nash Equilibrium Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:56:06.838821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:54:58.732444Z digest=sha256:ea5cc45ae457aedf7ecdacb2ff10816a50e966a172af74441968f63391a2abaf

Observation 57272c39-ab3b-4311-af19-15397ae972bb · inbound

Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment cites this paper.

Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:28:21.281066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T14:26:06.428076Z digest=sha256:62751c904fe7af123c53c4fc78d112984c4285dd7b9f974f93e217ca9381e3fe