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Paper Citation Record · LEDGER

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:50:14.404603Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:50:14.613584Z

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 bebcb6cf-38be-450c-9920-aa3bdde61796 · inbound

Open-source Polymer Generative Pipeline cites this paper.

Open-source Polymer Generative Pipeline Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:50:14.620179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T05:50:14.404603Z digest=sha256:a7b2b9f571c6fc88463e409a8ce1c6f92099406e0a009949977dfc4bb693b1f5

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=sha256:8c4823ff72ea12677fd70d4f14e87c0d07b4766921799f48d65cca2c51c2df01