Pith. sign in

Paper Citation Record · LEDGER

Motif-aware Attribute Masking for Molecular Graph Pre-training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.04589.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.04589 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:22:40.646470Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T06:12:38.316848Z

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 577aa060-dffd-4c00-8613-71677ca6a197 · inbound

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck cites this paper.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Motif-aware Attribute Masking for Molecular Graph Pre-training

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.646470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.646470Z digest=sha256:3dd6f3f5f587a2c167b0e3cbaa20e4129832b30194cf776b41356deee87c3cc8

Observation cfdc2d54-7c07-4d42-a8f5-9209f93ca915 · inbound

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks cites this paper.

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks Motif-aware Attribute Masking for Molecular Graph Pre-training

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:12:38.319959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T06:10:49.711018Z digest=sha256:ae045dc10a89382319d0c9e46f0b9cee3577dd1e5bd4d085fe6d4e86019328ff

Observation 3e013c49-b1ee-4454-8801-d78568a78627 · inbound

Equivariant Masked Position Prediction for Efficient Molecular Representation cites this paper.

Equivariant Masked Position Prediction for Efficient Molecular Representation Motif-aware Attribute Masking for Molecular Graph Pre-training

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-08T06:06:03.860217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:06:03.860217Z digest=sha256:1f054abfe467bf79abf7138bffd8a2a9b6858cae7b84f1c761286b78569fc00e

Observation edd700b5-71d0-48d0-91d6-f9930a43fedf · inbound

Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction cites this paper.

Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction Motif-aware Attribute Masking for Molecular Graph Pre-training

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:28:59.826612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T20:24:44.136573Z digest=sha256:50ad912232b03b13a594f4a21d36f56ea5df28e2536cc7f838f831c4d611b50b