Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.01911.
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 2026-08-07T12:22:23.142195Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T00:10:51.668336Z
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 c4563436-9104-4f8f-87b4-a07a5a2783fb · inbound
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models cites this paper.
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:22:23.142195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bde137f-0ed6-494c-bbca-ad001f98e950 · inbound
GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding cites this paper.
GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:10:51.681340Z
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.