Paper Citation Record · LEDGER

GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.20194.

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

pith.paper-citation-record.v1
2503.20194 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:29:38.537856Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:02:49.975961Z

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 02ad75a6-c0ce-472d-bfb6-7746a0a3eab8 · inbound

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning cites this paper.

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:38.537856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67408328-cee1-451a-9477-0df81bc462b1 · inbound

Self-Optimizing Multi-Agent Systems for Deep Research cites this paper.

Self-Optimizing Multi-Agent Systems for Deep Research GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:18:06.474176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 517b542d-bdcc-4ec7-93c5-334138941159 · inbound

Optimal Transport for LLM Reward Modeling from Noisy Preference cites this paper.

Optimal Transport for LLM Reward Modeling from Noisy Preference GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:07.348994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8ea111c-6918-4653-8877-3d35b65f6623 · inbound

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO cites this paper.

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:49.977641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.