Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.17702.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:50:56.297638Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T17:42:42.019748Z
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 369736a2-8d6a-4087-8d5d-c1cb561c712c · inbound
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:16:27.793639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 054bbab6-bc84-4f47-b2e4-6f9075d7badb · inbound
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:42:42.021579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f21cb6ba-94a8-4dfc-affe-91f2eddaa685 · inbound
Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language cites this paper.
Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:50:56.297638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.