Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Finetuning Foundation Models for Joint Analysis Optimization
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.13536.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:21:44.375899Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T07:25:28.663989Z
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 8990f26f-97da-4ad0-87c3-7ebcd171af94 · inbound
Pretrained Event Classification Model for High Energy Physics Analysis cites this paper.
Pretrained Event Classification Model for High Energy Physics Analysis Finetuning Foundation Models for Joint Analysis Optimization
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T07:25:28.665792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 457ee78d-fb2b-4e6c-a9c9-58f5006f2593 · inbound
Communicating Likelihoods with Normalising Flows cites this paper.
Communicating Likelihoods with Normalising Flows Finetuning Foundation Models for Joint Analysis Optimization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:21:44.375899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abb781d4-e16b-4d3a-8c99-d69296d14eb7 · inbound
Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough cites this paper.
Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough Finetuning Foundation Models for Joint Analysis Optimization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T00:50:24.285797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.