Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T13:08:47.370996Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2606.21213.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T13:08:47.370996Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
16 of 16 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 748b9f64-d1ac-4bfc-9160-22c4d9b56224 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Psychedelics,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3424153-77d2-480d-bc77-80ab7b8954d3 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification The neural basis of psychedelic action,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a341c9b-9f8a-4587-b98d-f5895ceb2435 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Mechanisms of signalling and biased agonism in G protein- coupled receptors,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6733726f-2de7-419b-bf6c-f0698f9cfef3 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Predicting the hallucinogenic potential of molecules using artificial intelligence,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7da62be0-2655-4b40-9c9e-8986472df8b2 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Quantum machine learning in feature Hilbert spaces,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88490d57-483a-4742-82b8-5e1aaf248030 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Supervised learning with quantum-enhanced feature spaces,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d181f89-d251-43d5-9f35-e50f7d2f1436 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Supervised quantum machine learning models are kernel methods
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fcab18de-480c-4e9c-87f2-cac95cca63cb · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Q 2SAR: A quantum multiple kernel learning approach for drug discovery,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a978f9bb-33ab-44fb-ad58-c3c53d8bb7ef · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Extended-connectivity fingerprints,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 082624ab-86af-47ab-ae6d-2ecdeead0403 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Exposing the limitations of molecular machine learning with activity cliffs,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fc484bc-6de9-4589-8896-71ace47430ea · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification RDKit: Open-source cheminformatics,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c5efe2b-404c-4657-ba4b-5463fb50690b · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Mordred: a molecular descriptor calculator,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b0af25b-6dec-4f01-b216-f9ba32c5de9f · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec5dc01b-f621-492d-85c3-dda77e81dc7b · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Scikit-learn: Machine learning in Python,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58413d94-0f55-4d6e-b737-05f22bbfb2ca · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Sch ¨olkopf and A
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efb9837b-bd38-4dd9-83da-ce16a45c5524 · outbound
QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Multiple kernel learning algorithms,
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.