Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.14500.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:17.961627Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T08:15:33.946233Z
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 96b39e11-5fd9-4dd9-8026-f652ddf5c593 · inbound
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems cites this paper.
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T08:54:15.944560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 85a3ceb8-008c-4727-af40-c38dfcfae0cb · inbound
Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation cites this paper.
Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.949341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a1642ed8-8550-445c-96c0-212127666e57 · inbound
ChemMLLM: Chemical Multimodal Large Language Model cites this paper.
ChemMLLM: Chemical Multimodal Large Language Model MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:06:04.931249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80c86d34-9321-4eeb-b296-565f83b75971 · inbound
A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules cites this paper.
A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:17.961627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc4f6930-e8c2-46eb-aa1a-eb42a5f0dbea · inbound
Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces cites this paper.
Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:13.218334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.