Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.19309.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:04.767680Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T20:03:43.964124Z
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 6c18ebcd-7e77-4f2e-aa9a-5068916d1ea1 · inbound
AI Scientists Fail Without Strong Implementation Capability cites this paper.
AI Scientists Fail Without Strong Implementation Capability Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:49:04.767680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0756e5a5-7897-4a1e-b28d-37b3d15f0a15 · inbound
MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility cites this paper.
MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:03:43.967487Z
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.