Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.04274.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:06:23.264628Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:29:02.955060Z
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 a845c286-8195-4ab7-bcbb-6aaeb6d0cce3 · inbound
Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective cites this paper.
Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:06:23.264628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ed1ed77-8663-4d47-bdfc-7c98179dfb09 · inbound
Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution cites this paper.
Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:37:28.620847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dac12d28-bfa6-4f60-930b-e1a1f5baedb4 · inbound
Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution cites this paper.
Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T13:10:10.444063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5c643b52-fb05-4f84-871b-95ec075c69f3 · inbound
IRIS: Interpolative R\'enyi Iterative Self-play for Large Language Model Fine-Tuning cites this paper.
IRIS: Interpolative R\'enyi Iterative Self-play for Large Language Model Fine-Tuning Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:41:04.955716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 58f476a1-6b96-45c8-bb55-6e311445cec3 · inbound
S-SPPO: Semantic-Calibrated Self-Play Preference Optimization cites this paper.
S-SPPO: Semantic-Calibrated Self-Play Preference Optimization Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:56:19.414345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fc4da33e-da6d-432a-a70f-f3cdc26437e9 · inbound
When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning? cites this paper.
When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning? Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:29:02.957165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.