Paper Citation Record · LEDGER

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.06913.

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

pith.paper-citation-record.v1
2502.06913 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:10:38.112734Z

measured 14 of 14 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact2
verified fuzzy7
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 851dfe23-efc6-4521-a1d7-1f499a42e0af · outbound

This paper cites Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.

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.

Observation 443a8dfe-23c9-4d43-af54-ef4a04f3157f · outbound

This paper cites Dsmbind: Se (3) denoising score matching for unsupervised binding energy prediction and nanobody design.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Dsmbind: Se (3) denoising score matching for unsupervised binding energy prediction and nanobody design

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:10:38.272260Z

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.

Observation 6afa1a50-cae4-4d0e-aff2-65af9b1a1046 · outbound

This paper cites Conditional Antibody Design as 3D Equivariant Graph Translation.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Conditional Antibody Design as 3D Equivariant Graph Translation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T16:10:38.084399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1237fcbc-40dd-4448-8bf9-d7a4f69ca5af · outbound

This paper cites Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:10:38.178203Z

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.

Observation 2aed4fcc-fc9c-4dbf-9cb7-191ec0aef4a4 · outbound

This paper cites Rotamer density estimator is an unsupervised learner of the effect of mutations on protein-protein interaction.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Rotamer density estimator is an unsupervised learner of the effect of mutations on protein-protein interaction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:10:38.260104Z

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.

Observation 35813bb8-4a8d-4fbf-8996-b05ade8aee96 · outbound

This paper cites Multi-level Interaction Modeling for Protein Mutational Effect Prediction.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Multi-level Interaction Modeling for Protein Mutational Effect Prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T16:10:38.099976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9858b8ff-4c47-4362-be37-28337b814f3a · outbound

This paper cites Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:10:38.149256Z

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.

Observation 07f52bf6-f586-4bfb-bd03-f938c85dee76 · outbound

This paper cites P SEUDO CODE The pseudo-code of the proposed Uni-Anti framework is summarized in Algorithm.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer P SEUDO CODE The pseudo-code of the proposed Uni-Anti framework is summarized in Algorithm

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:10:38.236388Z

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.

Observation 12635584-83f2-4d07-84eb-10c8279758d0 · outbound

This paper cites Tranception: protein fitness prediction with autoregressive transform- ers and inference-time retrieval.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Tranception: protein fitness prediction with autoregressive transform- ers and inference-time retrieval

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:10:38.248283Z

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.

Observation 4d17926d-6c42-4447-95a2-869664ed63fa · outbound

This paper cites Cma-es-rosetta: Black- box optimization algorithm traverses rugged peptide docking energy landscapes.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Cma-es-rosetta: Black- box optimization algorithm traverses rugged peptide docking energy landscapes

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:10:38.307752Z

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.

Observation 4e97e916-b456-4d7b-b01b-29ba5b474e7b · outbound

This paper cites Simulating 500 million years of evolution with a language model.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Simulating 500 million years of evolution with a language model

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:10:38.296195Z

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.

Observation 8b74eead-c49b-4965-ba68-7cffaea09df2 · outbound

This paper cites Antibody sequence optimization with gradient- guided discrete walk-jump sampling.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Antibody sequence optimization with gradient- guided discrete walk-jump sampling

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:10:38.284119Z

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.

Observation ae3847ad-8cc1-461e-8062-89785077c3ab · outbound

This paper cites End-to-End Full-Atom Antibody Design.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer End-to-End Full-Atom Antibody Design

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T16:10:38.088414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86dd3467-e4bc-40d9-8ab1-cca99d005af5 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer Distilling the Knowledge in a Neural Network

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T16:10:38.069011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.