Paper Citation Record · LEDGER

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion

As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 4 inbound Pith citation observations for arXiv:2505.12358.

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

pith.paper-citation-record.v1
2505.12358 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:22.471861Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 2026-06-30T17:04:56.504599Z

Reference resolution

54 of 54 outbound references displayed

verified exact1
verified fuzzy27
unresolved25
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3a25a57-122f-4789-b7f5-d872b0ed9e50 · outbound

This paper cites Determining kinetics and affinities of protein interactions using a parallel real-time label-free biosensor, the octet.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Determining kinetics and affinities of protein interactions using a parallel real-time label-free biosensor, the octet

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.300968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eba7a709-b358-465a-9218-b690bd4d41e4 · outbound

This paper cites Rosettaantibodydesign (rabd): A general framework for computational antibody design.PLoS computational biology, 14(4): e1006112, 2018.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Rosettaantibodydesign (rabd): A general framework for computational antibody design.PLoS computational biology, 14(4): e1006112, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.286751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7d45c57-1cc3-48f7-a48f-6a464a3ea838 · outbound

This paper cites Flow network based generative models for non-iterative diverse candidate generation.Advances in Neural Information Processing Systems, 34:27381–27394, 2021.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Flow network based generative models for non-iterative diverse candidate generation.Advances in Neural Information Processing Systems, 34:27381–27394, 2021

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.272461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dccda8f2-dc6d-4c7d-886e-dc37f6d320c4 · outbound

This paper cites Isothermal titration calorimetry of ion-coupled membrane transporters.Methods, 76:171–182, 2015.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Isothermal titration calorimetry of ion-coupled membrane transporters.Methods, 76:171–182, 2015

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.256875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51e6810d-639b-4d85-be4f-e89c0658a3ab · outbound

This paper cites Pyrosetta: a script-based interface for implementing molecular modeling algorithms using rosetta.Bioinformatics, 26(5):689–691, 2010.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Pyrosetta: a script-based interface for implementing molecular modeling algorithms using rosetta.Bioinformatics, 26(5):689–691, 2010

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.256640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ddaad3a-f4c4-4dd1-8187-1248c2ac797e · outbound

This paper cites Prediction of absolute protein-protein binding free energy by a super learner model.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Prediction of absolute protein-protein binding free energy by a super learner model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.231222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ada0c1b-bf68-4fe6-ba05-a09202c93b90 · outbound

This paper cites Noise Contrastive Alignment of Language Models with Explicit Rewards.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Noise Contrastive Alignment of Language Models with Explicit Rewards

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.266185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c58d4e-691d-43a9-813e-38bddb1e2e29 · outbound

This paper cites Lau, and Victor Ovchinnikov.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Lau, and Victor Ovchinnikov

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T20:40:22.528328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba92cf2e-f29a-4d05-959f-1e1c39d58809 · outbound

This paper cites Investigating Data Contamination in Modern Benchmarks for Large Language Models.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.275804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7efda19-4543-4801-a103-602e65bec0b1 · outbound

This paper cites Sabdab: the structural antibody database.Nucleic acids research, 42(D1):D1140–D1146, 2014.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Sabdab: the structural antibody database.Nucleic acids research, 42(D1):D1140–D1146, 2014

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.280651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c557d20a-9608-4bce-94a1-9711db9fd6f6 · outbound

This paper cites Openmm 7: Rapid development of high performance algorithms for molecular dynamics.PLoS computational biology, 13(7):e1005659, 2017.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Openmm 7: Rapid development of high performance algorithms for molecular dynamics.PLoS computational biology, 13(7):e1005659, 2017

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.285262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d18168e-8117-404f-ac50-7a96b624419e · outbound

This paper cites Pre-training antibody language models for antigen-specific computational antibody design.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Pre-training antibody language models for antigen-specific computational antibody design

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.196153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ba59128-81d4-4049-bf91-4c16c62191d3 · outbound

This paper cites A review of deep learning methods for antibodies.Antibodies, 9(2):12, 2020.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion A review of deep learning methods for antibodies.Antibodies, 9(2):12, 2020

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.181212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c25e1c39-854a-4c76-84dd-127a4ca488b9 · outbound

This paper cites Measuring antibody–antigen binding kinetics using surface plasmon resonance.Antibody Engineering: Methods and Protocols, Second Edition, pages 411–442, 2012.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Measuring antibody–antigen binding kinetics using surface plasmon resonance.Antibody Engineering: Methods and Protocols, Second Edition, pages 411–442, 2012

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.166655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f85f780-2cdc-4cd6-a10d-fc4385848450 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.303118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bfa2735-227f-4667-af58-a3907fc38cd8 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.Advances in Neural Information Processing Systems, 34:12454–12465, 2021.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Argmax flows and multinomial diffusion: Learning categorical distributions.Advances in Neural Information Processing Systems, 34:12454–12465, 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.307583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acea330c-c341-4c0d-828a-76eab7d8f13b · outbound

This paper cites Antibody-antigen docking and design via hierarchical structure refinement.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Antibody-antigen docking and design via hierarchical structure refinement

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.134238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb47d31f-5def-41ff-a26b-6882dde39c05 · outbound

This paper cites Exploiting sequence space: shuffling in vivo formed complementarity determining regions into a master framework.Gene, 215(2): 471–476, 1998.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Exploiting sequence space: shuffling in vivo formed complementarity determining regions into a master framework.Gene, 215(2): 471–476, 1998

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.120074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd17ec41-4f6e-4f3d-9cb9-9e01a87efb4a · outbound

This paper cites Structure based design of non-natural peptidic macrocyclic mcl-1 inhibitors.ACS medicinal chemistry letters, 8(2):239–244, 2017.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Structure based design of non-natural peptidic macrocyclic mcl-1 inhibitors.ACS medicinal chemistry letters, 8(2):239–244, 2017

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.106797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8515590c-f387-4efd-9f50-254da051664d · outbound

This paper cites Replacing the complementarity-determining regions in a human antibody with those from a mouse.Nature, 321(6069):522–525, 1986.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Replacing the complementarity-determining regions in a human antibody with those from a mouse.Nature, 321(6069):522–525, 1986

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.325096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e800ae5-e623-45f6-bd5d-a7004b0d458b · outbound

This paper cites Ant Colony Sampling with GFlowNets for Combinatorial Optimization.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Ant Colony Sampling with GFlowNets for Combinatorial Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.329508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e30b9d5e-876b-4d81-88dd-05ee593920bd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Adam: A Method for Stochastic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.334470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a996de0-65ff-43bb-b732-6dfc61070b7d · outbound

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

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Conditional Antibody Design as 3D Equivariant Graph Translation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.339041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c00d8c-8020-4420-a547-e520c69abded · outbound

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

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion End-to-End Full-Atom Antibody Design

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.343615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51a82b7a-7090-4e66-9733-c7fe44dccfde · outbound

This paper cites Abdesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences.Proteins: Structure, Function, and Bioinformatics, 83 (8):1385–1406, 2015.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Abdesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences.Proteins: Structure, Function, and Bioinformatics, 83 (8):1385–1406, 2015

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.082971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6f85c8d-7344-4ef9-a1a4-56963b847775 · outbound

This paper cites Degiacomi, and Chris G.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Degiacomi, and Chris G

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.068059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ef30f42-73c5-4839-ad43-cff10b2bc653 · outbound

This paper cites Language models of protein sequences at the scale of evolution enable accurate structure prediction.BioRxiv, 2022: 500902, 2022.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Language models of protein sequences at the scale of evolution enable accurate structure prediction.BioRxiv, 2022: 500902, 2022

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.355988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1152ca5-cc2f-41f2-9b86-f390c6112144 · outbound

This paper cites Development of therapeutic antibodies for the treatment of diseases.Journal of biomedical science, 27:1–30, 2020.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Development of therapeutic antibodies for the treatment of diseases.Journal of biomedical science, 27:1–30, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.043428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c2cce62-a36c-491e-bc72-55af993978a8 · outbound

This paper cites Antigen- specific antibody design and optimization with diffusion-based generative models for protein structures.bioRxiv, 2022.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Antigen- specific antibody design and optimization with diffusion-based generative models for protein structures.bioRxiv, 2022

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.363512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a7f23c-dc2b-4b35-8f83-0eb93a5dcaae · outbound

This paper cites Trajectory balance: Improved credit assignment in gflownets.Advances in Neural Information Processing Systems, 35:5955–5967, 2022.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Trajectory balance: Improved credit assignment in gflownets.Advances in Neural Information Processing Systems, 35:5955–5967, 2022

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.028472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee7c73d8-f70e-4ec1-8d32-8938f985c301 · outbound

This paper cites Abdif- fuser: full-atom generation of in-vitro functioning antibodies.Advances in Neural Information Processing Systems, 36, 2024.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Abdif- fuser: full-atom generation of in-vitro functioning antibodies.Advances in Neural Information Processing Systems, 36, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:23.012224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bba7499-8016-4b34-80af-b704da52b40c · outbound

This paper cites Applications of surface plasmon resonance and biolayer interferometry for virus–ligand binding.Viruses, 14 (4):717, 2022.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Applications of surface plasmon resonance and biolayer interferometry for virus–ligand binding.Viruses, 14 (4):717, 2022

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.996738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c3f7559-13fb-460d-9c40-e6df03a3af7c · outbound

This paper cites Origins of specificity and affinity in antibody–protein interactions.Proceedings of the National Academy of Sciences, 111 (26):E2656–E2665, 2014.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Origins of specificity and affinity in antibody–protein interactions.Proceedings of the National Academy of Sciences, 111 (26):E2656–E2665, 2014

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.981767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 982ab338-0ce4-4e8d-b0b9-2365aeb31590 · outbound

This paper cites Generative diffusion models for antibody design, docking, and optimization.bioRxiv, pages 2023–09, 2023.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Generative diffusion models for antibody design, docking, and optimization.bioRxiv, pages 2023–09, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.967548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b114e14-211a-432d-ba2f-4e4c18d85bd1 · outbound

This paper cites Antibody complementarity-determining regions (cdrs) can display differential antimicrobial, antiviral and antitumor activities.PLoS One, 3(6):e2371, 2008.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Antibody complementarity-determining regions (cdrs) can display differential antimicrobial, antiviral and antitumor activities.PLoS One, 3(6):e2371, 2008

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.953666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39368208-829e-4b12-ba3d-e56f347a6ded · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Direct preference optimization: Your language model is secretly a reward model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.392688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea887628-4f68-4856-94e6-219b829adef9 · outbound

This paper cites Multi-objective antibody design with constrained preference optimization.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Multi-objective antibody design with constrained preference optimization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.929732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 705dc6d2-e428-4a09-a455-31451faf7bea · outbound

This paper cites Grinaway, David L.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Grinaway, David L

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.914264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29838f15-9f59-4acc-9789-462c59273647 · outbound

This paper cites an unresolved cited work.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:40:22.898786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e97f6551-17e2-4425-9582-63d0214981ca · outbound

This paper cites Mmseqs2: sensitive protein sequence searching for the analysis of massive data sets.bioRxiv, 2017.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Mmseqs2: sensitive protein sequence searching for the analysis of massive data sets.bioRxiv, 2017

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.410207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30dec614-9197-477f-ba9f-8510449b8ef2 · outbound

This paper cites MIT press Cambridge, 1998.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion MIT press Cambridge, 1998

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.414682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d2feed6-bdf9-4413-a543-aff463c8607d · outbound

This paper cites A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.418861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42cfd93b-0c8e-4ba6-90c2-fd671f632dfb · outbound

This paper cites Design of humanized antibodies: from anti-tac to zenapax.Methods, 36(1):69–83, 2005.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Design of humanized antibodies: from anti-tac to zenapax.Methods, 36(1):69–83, 2005

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.875919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07dafada-fd9b-471f-8947-96a9abb42f0c · outbound

This paper cites Amortizing intractable inference in diffusion models for vision, language, and control.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Amortizing intractable inference in diffusion models for vision, language, and control

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.428019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce727d3-07a2-4745-8769-dc7c73f38ee1 · outbound

This paper cites Prediction of protein– protein binding free energies.Protein Science, 21(3):396–404, 2012.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Prediction of protein– protein binding free energies.Protein Science, 21(3):396–404, 2012

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.860332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fab75120-ac98-4ab2-9b9b-0aecb3d4004d · outbound

This paper cites Alignab: Pareto-optimal energy alignment for designing nature-like antibodies.arXiv preprint arXiv:2412.20984, 2024.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Alignab: Pareto-optimal energy alignment for designing nature-like antibodies.arXiv preprint arXiv:2412.20984, 2024

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.436828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 898d53c2-dc02-47a4-9352-3578bccc423c · outbound

This paper cites Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.440966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02222ad7-8455-4f07-b071-da72d457a8b3 · outbound

This paper cites Improving GFlowNets for Text-to-Image Diffusion Alignment.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Improving GFlowNets for Text-to-Image Diffusion Alignment

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.445408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25dd2ff4-77ec-4f95-a6c3-dd3a9309fe9e · outbound

This paper cites Packdock: a diffusion based side chain packing model for flexible protein-ligand docking.bioRxiv, pages 2024–01, 2024.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Packdock: a diffusion based side chain packing model for flexible protein-ligand docking.bioRxiv, pages 2024–01, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.844718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c7e7d0a-b55b-4ab3-9ea1-e3c6e744058d · outbound

This paper cites Diffpack: A torsional diffusion model for autoregressive protein side-chain packing.Advances in Neural Information Processing Systems, 36:48150–48172, 2023.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Diffpack: A torsional diffusion model for autoregressive protein side-chain packing.Advances in Neural Information Processing Systems, 36:48150–48172, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.828736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d12b956-0abe-4f79-9001-e47780819af7 · outbound

This paper cites Neoantigen: a new breakthrough in tumor immunotherapy.Frontiers in immunology, 12:672356, 2021.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Neoantigen: a new breakthrough in tumor immunotherapy.Frontiers in immunology, 12:672356, 2021

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:22.813627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a8aad01-5719-4e0e-998b-a0ab2cd06cfc · outbound

This paper cites Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.462717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a278d3-b0e7-4f98-9107-206445674622 · outbound

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

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Antibody design using a score-based diffusion model guided by evolutionary, physical and geometric constraints

Reference 54

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:40:22.799249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 406e164b-fc49-47fc-a052-4b2f09781437 · outbound

This paper cites an unresolved cited work.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:40:22.782962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 6010e9f7-a433-418a-b18c-21d3c18d2d64 · 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 AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion

Reference 255

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:09:38.605040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc3ec5b8-df0a-4384-a131-482cee5aefd5 · inbound

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

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion

Reference 255

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:31:22.572273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf332344-086b-42a5-b940-a8ba433ff99f · inbound

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

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:56.506214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7035739-5b26-4175-86a6-7e88091a675d · inbound

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

AgForce Enables Antigen-conditioned Generative Antibody Design AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion

Reference 253

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:20.451184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.