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Paper Citation Record · LEDGER

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1703.10603.

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

pith.paper-citation-record.v1
1703.10603 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T04:48:14.980753Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 41164abe-4909-456c-b1da-942b2bef084c · inbound

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions cites this paper.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-14T04:48:14.980753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:3b7a96e520b910304357d27a260ac61a0886480e461fb28dcad6859eaf01f782