Pith. sign in

Paper Citation Record · LEDGER

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.05146.

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

pith.paper-citation-record.v1
2202.05146 v4

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:24:27.448498Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:02:04.284009Z

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 88d3a7b6-59f4-420c-825f-72471d7424c9 · inbound

GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking cites this paper.

GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:27.448498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:27.448498Z digest=sha256:f5d0d981e8125ba7cadaa6bbfa4d3e6ee4b92c060f6e0dd11a234d982f46ed49

Observation 85b20a3c-7c74-4043-b4a6-46a4d4e3771e · inbound

PocketVina Enables Scalable and Highly Accurate Physically Valid Docking through Multi-Pocket Conditioning cites this paper.

PocketVina Enables Scalable and Highly Accurate Physically Valid Docking through Multi-Pocket Conditioning EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:02:04.287088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:02:04.083935Z digest=sha256:fb718a6cbc56446e2e4de40797a4043ef27ff613c9b5c852c13392891957e503