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Paper Citation Record · LEDGER

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.04624.

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

pith.paper-citation-record.v1
2110.04624 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:10:38.076974Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:41:06.245482Z

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 851dfe23-efc6-4521-a1d7-1f499a42e0af · inbound

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer cites this paper.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T16:10:38.076974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:10:38.076974Z digest=sha256:22231fa85618fddbdcd89b756c40a2be9efa0c28de1150bcdd9f6810ae5389ec

Observation 718cd08f-f932-4d73-b157-4819221677dd · inbound

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding cites this paper.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:41:06.287755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:41:04.736539Z digest=sha256:f570d2eb8832a1110999d8b54e56f4f2fc7b0d8969a13c8689ee79a8fbaf6830

Observation ca7b75cc-5658-4eb6-9b56-c98785d38228 · inbound

Conditionally Site-Independent Neural Evolution of Antibody Sequences cites this paper.

Conditionally Site-Independent Neural Evolution of Antibody Sequences Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T21:50:55.605510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:50:55.605510Z digest=sha256:62088b7bba82e13d3fb482e870f882aeb20e1d1001d73fc24a19b3d42ced7c80