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Paper Citation Record · LEDGER

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.15122.

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

pith.paper-citation-record.v1
2401.15122 v3

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 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:25.993490Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:49:31.670253Z

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 1b39003c-4db8-4fd0-a151-7157e7a35959 · inbound

Recent Developments in GNNs for Drug Discovery cites this paper.

Recent Developments in GNNs for Drug Discovery A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:49:31.806429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:49:25.993490Z digest=sha256:0df5535fc41d9db6db8e6edc2fd4b980d55bca8498573508e0349fe68cf3c16a