Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:20:15.165040Z
Paper Citation Record · LEDGER
Active Learning Enables Extrapolation in Molecular Generative Models
As of 13 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2501.02059.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T15:08:37.285590Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:59:37.165071Z
Reference resolution
5 of 5 outbound references displayed
- verified exact1
- verified fuzzy1
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bebab4d2-23fa-43cf-b09a-fdd014fc4367 · outbound
This paper cites Junction Tree Variational Autoencoder for Molecular Graph Generation.
Active Learning Enables Extrapolation in Molecular Generative Models Junction Tree Variational Autoencoder for Molecular Graph Generation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:20:15.144984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca586597-c19b-4aa5-8fb1-9d813c736b40 · outbound
This paper cites Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design.
Active Learning Enables Extrapolation in Molecular Generative Models Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:20:15.233393Z
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 eeac82e7-7572-4a42-84b9-13c2c52403e9 · outbound
This paper cites Generative Active Learning for the Search of Small-molecule Protein Binders.
Active Learning Enables Extrapolation in Molecular Generative Models Generative Active Learning for the Search of Small-molecule Protein Binders
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:20:15.154487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7e649c3-4c2a-4e75-b465-0567c65bb2d7 · outbound
This paper cites Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization.
Active Learning Enables Extrapolation in Molecular Generative Models Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:20:15.159101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2cc1ad6-1528-48cd-8db7-7113e4b87946 · outbound
This paper cites & Kozinsky, B.
Active Learning Enables Extrapolation in Molecular Generative Models & Kozinsky, B
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:20:15.257507Z
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.
Pith citing papers
Observation 875f667a-62eb-4002-bb60-37cb444003ad · inbound
Interpretable Meta-Learning for Multi-Objective Chemical Search cites this paper.
Interpretable Meta-Learning for Multi-Objective Chemical Search Active Learning Enables Extrapolation in Molecular Generative Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:59:37.166984Z
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.