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Paper Citation Record · LEDGER

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.03702.

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

pith.paper-citation-record.v1
1912.03702 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:20:13.597069Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:59:29.378795Z

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 21dc07ea-863c-4fec-a9bd-f0d24029fc81 · inbound

Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Prediction cites this paper.

Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Prediction Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

Reference 141

Resolution
unresolved
no resolver link, observed 2026-08-12T16:20:13.597069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:20:13.597069Z digest=sha256:242bd897c995d727509c211a9b5a5d0dda5342f15c4855631e86878534c955ab

Observation 792550ad-6834-48be-8d5e-12f66bc2a7b6 · inbound

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models cites this paper.

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:59:29.451893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:59:28.865246Z digest=sha256:44200690f7f1872705d203de758c768f407d032a413ea7c1c16ffaaf5bd6a6c1