Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 4 inbound Pith citation observations for arXiv:2506.20957.

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

pith.paper-citation-record.v1
2506.20957 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:41:06.120611Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T17:04:14.030690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:04:56.507341Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy23
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 634df446-4a39-4813-9cb3-e6eeee6fc992 · outbound

This paper cites Rosettaantibodydesign (rabd): A general frame- work for computational antibody design.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Rosettaantibodydesign (rabd): A general frame- work for computational antibody design

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:03.954168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc620a8-dd99-4ecc-89b3-9d1a1c241813 · outbound

This paper cites Com- puting exponentials of skew-symmetric matrices and log- arithms of orthogonal matrices.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Com- puting exponentials of skew-symmetric matrices and log- arithms of orthogonal matrices

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:04.471286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 2026-08-08T06:32:00.761636+00:00.

Observation bd0f7a49-be00-4789-993b-5e586877f54e · outbound

This paper cites Antibody design using deep learning: from sequence and structure design to affinity maturation.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Antibody design using deep learning: from sequence and structure design to affinity maturation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:09.052680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8953dac4-b715-4b6b-bc49-2f636c262fdc · outbound

This paper cites Highly accu- rate protein structure prediction with alphafold.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Highly accu- rate protein structure prediction with alphafold

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:08.848855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a623e20f-4bcf-4ebc-9777-f8237b4416f6 · outbound

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

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Conditional Antibody Design as 3D Equivariant Graph Translation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:04.879992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fa88e15-2410-4982-bf94-3ab11e87f415 · outbound

This paper cites Denois- ing diffusion probabilistic models on so (3) for rotational alignment.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Denois- ing diffusion probabilistic models on so (3) for rotational alignment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:08.656791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87373191-a525-4325-958d-3079f49ae4be · outbound

This paper cites [Lin et al., 2024] Haitao Lin, Lirong Wu, Yufei Huang, Yun- fan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, and Stan Z.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding [Lin et al., 2024] Haitao Lin, Lirong Wu, Yufei Huang, Yun- fan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, and Stan Z

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:08.496312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89d9eb43-8605-40a0-8716-4951e2aba2a1 · outbound

This paper cites Improved side-chain torsion potentials for the amber ff99sb protein force field.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Improved side-chain torsion potentials for the amber ff99sb protein force field

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:08.313690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7895da15-ff01-4659-ad3a-6e66f700ac3d · outbound

This paper cites Abdiffuser: full-atom generation of in-vitro functioning antibodies.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Abdiffuser: full-atom generation of in-vitro functioning antibodies

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:05.265357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f5b318-bbbd-4513-a7ff-329c989a31c0 · outbound

This paper cites On the normal distribution in the orientation space.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding On the normal distribution in the orientation space

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:08.106401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a378edf-a876-43a8-b63f-ecfc1a3f6d08 · outbound

This paper cites Fast, accurate antibody structure prediction from deep learning on mas- sive set of natural antibodies.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Fast, accurate antibody structure prediction from deep learning on mas- sive set of natural antibodies

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:07.542716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a198b6d-57a1-4671-b1d6-1ef285770999 · outbound

This paper cites Molecular geometric deep learning.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Molecular geometric deep learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:07.212702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 111e34a8-1c42-491d-9541-0f7d11b8965a · outbound

This paper cites Protein design and variant prediction using au- toregressive generative models.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Protein design and variant prediction using au- toregressive generative models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:07.023926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff71a2f6-5854-4fcf-b12b-75fdd7af43ee · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermody- namics.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Deep unsupervised learning using nonequilibrium thermody- namics

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:06.855003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18ffb4f9-c99c-45fe-8743-8f3d9882a9a5 · outbound

This paper cites TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:05.988286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 261d74de-4148-4abf-9040-297d3003b930 · outbound

This paper cites Enhancing geometric representa- tions for molecules with equivariant vector-scalar interac- tive message passing.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Enhancing geometric representa- tions for molecules with equivariant vector-scalar interac- tive message passing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:06.489106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ee71fe2-04e3-4ba4-a4fd-88af755a1008 · outbound

This paper cites Antibody design using a score-based diffusion model guided by evolutionary, physical and geometric constraints.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Antibody design using a score-based diffusion model guided by evolutionary, physical and geometric constraints

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:06.385680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ac8978ad-991d-41de-8d1b-727970a6397e · outbound

This paper cites Normal distribution on the rotation group so (3).

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Normal distribution on the rotation group so (3)

Reference 1988

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:07.911294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f54e426f-c3b0-4f14-b5ca-7c7751d78408 · outbound

This paper cites A new clustering of antibody cdr loop conformations.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding A new clustering of antibody cdr loop conformations

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:07.711249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56d45cb2-2895-433c-928e-0639c41c9038 · outbound

This paper cites E (n) equivariant normalizing flows.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding E (n) equivariant normalizing flows

Reference 2003

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:09.428045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 286e008a-cf9f-4804-8940-a9f47ad1822f · outbound

This paper cites Sabdab: the structural antibody database.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Sabdab: the structural antibody database

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:04.309708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36e338e-cdfe-46fc-a1e6-e32c5b66ac25 · outbound

This paper cites Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures.Advances in Neu- ral Information Processing Systems, 35:9754–9767,.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures.Advances in Neu- ral Information Processing Systems, 35:9754–9767,

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:05.194855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa45003-bb9c-43b5-aae4-cea9f5cc559d · outbound

This paper cites Deciphering antibody affinity maturation with language models and weakly supervised learning.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Deciphering antibody affinity maturation with language models and weakly supervised learning

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:05.522955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66de82ba-b9f4-405c-b391-9c93033c4ab1 · outbound

This paper cites Openmm 7: Rapid development of high performance algorithms for molecular dynamics.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Openmm 7: Rapid development of high performance algorithms for molecular dynamics

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:09.622958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 32dcb75d-ace1-47b1-af1a-882218614e91 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Generative modeling by estimating gradients of the data distribution

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:06.691092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7226daec-eec3-40f7-804c-ba41ebe48791 · outbound

This paper cites Unified rational protein engineering with sequence-based deep representation learning.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Unified rational protein engineering with sequence-based deep representation learning

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:10.251993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2def8c73-1733-4473-85d5-8c4d2cea30f2 · outbound

This paper cites The rosetta all-atom energy function for macromolecular mod- eling and design.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding The rosetta all-atom energy function for macromolecular mod- eling and design

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:10.500426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f9624f1b-b25a-4f27-b15e-dc248d9518a7 · outbound

This paper cites Pretrainable geometric graph neural network for antibody affinity maturation.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Pretrainable geometric graph neural network for antibody affinity maturation

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:10.016785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc66d7d8-de4b-41be-9da6-bee09d511953 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:09.284333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aab97c14-dc4f-4f81-a478-96ea7e9630d4 · outbound

This paper cites Denoising diffusion probabilistic models.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Denoising diffusion probabilistic models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:04.583550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1583887d-dabe-41b4-b2e3-f778419b7f12 · outbound

This paper cites Improving Antibody Design with Force-Guided Sampling in Diffusion Models.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:04.940760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ecf32c-6a67-4dec-9f52-42dbef4aaca0 · outbound

This paper cites Equivariant message passing for the prediction of tensorial properties and molecular spectra.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:07.382116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4984438-1ece-403b-8d1c-67859ae5490d · outbound

This paper cites Potent antibody therapeutics by design.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Potent antibody therapeutics by design

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:41:09.820460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 303b4a23-02c6-4ca1-99f3-6cbb4f542ac6 · inbound

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation cites this paper.

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:09:38.610522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c150eef-109a-4c54-a9ba-a42edc7e9275 · inbound

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning cites this paper.

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:31:22.582811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20a090ad-79db-4070-a4f2-f625fd43f4f6 · inbound

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning cites this paper.

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:04:56.509174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 670a8132-494b-4667-8e89-610ec5267bb0 · inbound

AgForce Enables Antigen-conditioned Generative Antibody Design cites this paper.

AgForce Enables Antigen-conditioned Generative Antibody Design Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding

Reference 255

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:20.424651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.