Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.09637.
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 2026-08-09T16:39:10.570389Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T09:57:56.090194Z
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 525a5717-3bc1-4761-bada-626848fbe814 · inbound
Learning Efficient Positional Encodings with Graph Neural Networks cites this paper.
Learning Efficient Positional Encodings with Graph Neural Networks DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:39:10.570389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a15916b6-7b16-4685-9e01-1a450bc3c0b4 · inbound
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization cites this paper.
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:19:28.981312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b0b2a5a-7e87-493f-8d1f-fce515f76282 · inbound
Learning Causality for Modern Machine Learning cites this paper.
Learning Causality for Modern Machine Learning DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:03:49.097262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5b8ac85-db2d-4b10-ba1b-b40dbd9e8357 · inbound
Subgraph Generation for Generalizing on Out-of-Distribution Links cites this paper.
Subgraph Generation for Generalizing on Out-of-Distribution Links DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:10:47.259414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb062de9-930f-4828-b39a-317ca7849c32 · inbound
Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter cites this paper.
Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:57:56.091754Z
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.