AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking | Paper Citation Record

Observation 8a3c0531-be5e-4916-8390-1248744edfe0 · outbound

This paper cites Predicting antibody–antigen affinity with a dual-level representation model.Bioinformatics, 42(4):btag109, 04 2026.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Predicting antibody–antigen affinity with a dual-level representation model.Bioinformatics, 42(4):btag109, 04 2026

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.378135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation efba38ea-427f-42b4-80fe-6e4a963ba144 · outbound

This paper cites Learning the language of protein-protein interactions.Nature Communications, 2026.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Learning the language of protein-protein interactions.Nature Communications, 2026

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.382889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 639d7a3e-2155-4001-a3e3-cd6aac2bd40e · outbound

This paper cites Mvsf-ab: accurate anti- body–antigen binding affinity prediction via multi-view sequence feature learning.Bioinformatics, 41(5):btae579, 05 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Mvsf-ab: accurate anti- body–antigen binding affinity prediction via multi-view sequence feature learning.Bioinformatics, 41(5):btae579, 05 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.401523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation afd9f3f3-f017-4a6c-aa8b-f30896d55aa5 · outbound

This paper cites Dg-affinity: predicting antigen–antibody affinity with language models from sequences.BMC bioinformatics, 24(1):430, 2023.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Dg-affinity: predicting antigen–antibody affinity with language models from sequences.BMC bioinformatics, 24(1):430, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.411388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 60943aaf-c6e4-411b-a595-fd526c3806b5 · outbound

This paper cites Deep geometric framework to predict antibody-antigen binding affinity.Journal of Structural Biology, page 108257, 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Deep geometric framework to predict antibody-antigen binding affinity.Journal of Structural Biology, page 108257, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.418833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9fc6910a-287f-4be3-8b77-11cbefc15c1e · outbound

This paper cites Investigating the volume and diversity of data needed for generalizable antibody– antigenδδg prediction.Nature Computational Science, 5(8):635–647, 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Investigating the volume and diversity of data needed for generalizable antibody– antigenδδg prediction.Nature Computational Science, 5(8):635–647, 2025

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.401383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eec68a53-75ed-430f-8c4d-ee4bf8d625fa · outbound

This paper cites Se3bind: Se (3)-equivariant model for antibody-antigen binding affinity prediction.bioRxiv, pages 2026–01, 2026.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Se3bind: Se (3)-equivariant model for antibody-antigen binding affinity prediction.bioRxiv, pages 2026–01, 2026

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.397224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac87b6d8-9786-44d7-88f8-96588d7f98e0 · outbound

This paper cites Predicting antibody affinity changes upon mutation based on unbound protein structures.Interna- tional Journal of Molecular Sciences, 26(3):1343, 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Predicting antibody affinity changes upon mutation based on unbound protein structures.Interna- tional Journal of Molecular Sciences, 26(3):1343, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.343079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 082a4cf9-3f85-4aa6-b60c-6d455056c79d · outbound

This paper cites Pretrainable geometric graph neural network for antibody affinity maturation.Nature communications, 15(1):7785, 2024.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Pretrainable geometric graph neural network for antibody affinity maturation.Nature communications, 15(1):7785, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.416894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6dbb24b5-8a15-40c2-95f5-053d1c1df33b · outbound

This paper cites AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T22:55:40.222156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4409c94f-db99-464e-b979-c4a5fa0c6c43 · outbound

This paper cites AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:55:40.225344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f86d392-e663-4fa8-90d5-c083d10b9024 · outbound

This paper cites Evolutionary- scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Evolutionary- scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.351566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a455056b-9030-427e-8209-bf25896df5d4 · outbound

This paper cites an unresolved cited work.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-07-08T22:55:40.393115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f786475-5d65-49a3-823e-0c169ebae812 · outbound

This paper cites Language modeling materializes a world model of protein biology.bioRxiv, pages 2026–06, 2026.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Language modeling materializes a world model of protein biology.bioRxiv, pages 2026–06, 2026

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.405293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b300cdba-4335-4f42-9cfb-1e51238ea924 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493– 500, 2024.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493– 500, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.409425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e52dc33-482c-4b97-9f28-7e722efdb81f · outbound

This paper cites Generalized biomolecular model- ing and design with rosettafold all-atom.Science, 384(6693):eadl2528, 2024.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Generalized biomolecular model- ing and design with rosettafold all-atom.Science, 384(6693):eadl2528, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.377968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e14dd2af-0e8a-424e-a3a9-773824a0e7cc · outbound

This paper cites Boltz-1 de- mocratizing biomolecular interaction modeling.BioRxiv, pages 2024–11, 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Boltz-1 de- mocratizing biomolecular interaction modeling.BioRxiv, pages 2024–11, 2025

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.403482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bca2e428-0599-404a-a519-2bd6288deac7 · outbound

This paper cites Boltz-2: Towards accurate and efficient binding affinity prediction.BioRxiv.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Boltz-2: Towards accurate and efficient binding affinity prediction.BioRxiv

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.387055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd610554-0008-4a82-842a-bafda6e1f45d · outbound

This paper cites Chai-1: Decoding the molecular interactions of life.BioRxiv, pages 2024–10, 2024.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Chai-1: Decoding the molecular interactions of life.BioRxiv, pages 2024–10, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.389077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e269fe44-1ef3-43e0-92a0-a2ac4f5d3fb0 · outbound

This paper cites Zero-shot antibody design in a 24-well plate.bioRxiv, pages 2025–07, 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Zero-shot antibody design in a 24-well plate.bioRxiv, pages 2025–07, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.380384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf441fec-cae1-47c7-b874-b081e9aa2143 · outbound

This paper cites Protenix-advancing structure prediction through a com- prehensive alphafold3 reproduction.BioRxiv, pages 2025–01, 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Protenix-advancing structure prediction through a com- prehensive alphafold3 reproduction.BioRxiv, pages 2025–01, 2025

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.407478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b6dbfaa-1438-4333-be70-1fa74621f262 · outbound

This paper cites Deeprank-ab: a scoring function for antibody-antigen complexes based on geometric deep learning.Communications Biology, 2026.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Deeprank-ab: a scoring function for antibody-antigen complexes based on geometric deep learning.Communications Biology, 2026

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.351738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f88ae76-e47a-4cc0-b956-765c35332bbb · outbound

This paper cites Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies.Nature communications, 14(1):2389, 2023.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies.Nature communications, 14(1):2389, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.391068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c76447b-fe35-42d7-8aac-ea9fb8567a76 · outbound

This paper cites Attabseq: an attention-based deep learning prediction method for antigen–antibody binding affinity changes based on protein sequences.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Attabseq: an attention-based deep learning prediction method for antigen–antibody binding affinity changes based on protein sequences

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.403349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56a15318-a471-4494-b315-d25e82bb9f01 · outbound

This paper cites Sequence-only pre- diction of binding affinity changes: a robust and inter- pretable model for antibody engineering.Bioinformatics, 41(8):btaf446, 2025.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Sequence-only pre- diction of binding affinity changes: a robust and inter- pretable model for antibody engineering.Bioinformatics, 41(8):btaf446, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.413307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2c30901f-9164-496a-8104-cfd3179d040e · outbound

This paper cites Matching networks for one shot learning.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Matching networks for one shot learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.394972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30d9080c-16df-49d1-b6cc-4e6145b97989 · outbound

This paper cites Prototyp- ical networks for few-shot learning.Advances in neural information processing systems, 30.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Prototyp- ical networks for few-shot learning.Advances in neural information processing systems, 30

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.375327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 908ad4a6-8920-4063-ae9f-3710d00ee24a · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep net- works.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Model- agnostic meta-learning for fast adaptation of deep net- works

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.369202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0656519-0034-4ab0-b3e2-479c16b1bff5 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking On First-Order Meta-Learning Algorithms

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:55:40.217788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7128958-d4a9-4052-bee9-afbddf2e6f1e · outbound

This paper cites A Simple Neural Attentive Meta-Learner.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking A Simple Neural Attentive Meta-Learner

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:55:40.217363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e230237c-5ab1-4928-a713-77b0024386fa · outbound

This paper cites Meta-learning with memory-augmented neural networks.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Meta-learning with memory-augmented neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.380535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99f1ad01-1195-4569-a9dd-fe8455592775 · outbound

This paper cites Language models are few-shot learners.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Language models are few-shot learners

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.399265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 77033c3a-bb5c-4224-89fd-f08b902ddb9c · outbound

This paper cites Transformers learn in-context by gradient descent.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Transformers learn in-context by gradient descent

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.409599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15bbed1f-3148-44a5-a0d2-b6b6fec4769f · outbound

This paper cites Why can gpt learn in- context? language models secretly perform gradient de- scent as meta-optimizers.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Why can gpt learn in- context? language models secretly perform gradient de- scent as meta-optimizers

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.384707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 969425c2-8441-46b8-8472-c38f7304472f · outbound

This paper cites In-Context Learning for Few-Shot Molecular Property Prediction.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking In-Context Learning for Few-Shot Molecular Property Prediction

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:55:40.209406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cbe4ac11-3035-482a-8b60-bc0f8908b699 · outbound

This paper cites Pin-tuning: parameter-efficient in- context tuning for few-shot molecular property predic- tion.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Pin-tuning: parameter-efficient in- context tuning for few-shot molecular property predic- tion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.333856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75a87577-551f-4b0b-b7b1-aae525790890 · outbound

This paper cites Metalic: Meta-learning in-context with pro- tein language models.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Metalic: Meta-learning in-context with pro- tein language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.415022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 59b604f1-a246-48b5-ae39-5cb1bacd4177 · outbound

This paper cites Schnet: A continuous-filter convolutional neural network for modeling quantum in- teractions.Advances in neural information processing systems, 30, 2017.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Schnet: A continuous-filter convolutional neural network for modeling quantum in- teractions.Advances in neural information processing systems, 30, 2017

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.356897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7ee64c9-eb0c-414f-bf8d-a521eb8e814f · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Attention is all you need.Advances in neural information processing systems, 30

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.389374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 497d8eb0-7b57-4cea-8777-632118eff7d4 · outbound

This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Set transformer: A framework for attention-based permutation-invariant neural networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.405579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b338e68a-2efd-44ac-9c14-6aa51110c4e5 · outbound

This paper cites Deciphering antibody affinity maturation with language models and weakly supervised learning.Machine Learn- ing for Structural Biology Workshop, NeurIPS, 2021.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Deciphering antibody affinity maturation with language models and weakly supervised learning.Machine Learn- ing for Structural Biology Workshop, NeurIPS, 2021

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.399120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 710870f0-1348-4ae3-b549-15a55f1f3177 · outbound

This paper cites an unresolved cited work.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-07-08T22:55:40.392956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 976d761b-f174-456c-a754-d223dffaaf57 · outbound

This paper cites Specifically,n context = min(Kmax, ,⌊N×r⌋) pairs are used as context demonstration, whereris the context demonstration ratio, and the remaining pairs serve as queries.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Specifically,n context = min(Kmax, ,⌊N×r⌋) pairs are used as context demonstration, whereris the context demonstration ratio, and the remaining pairs serve as queries

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:55:40.407714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ae40422-47a9-4224-95e3-5ae75b28e46e · outbound

This paper cites an unresolved cited work.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-07-08T22:55:40.365004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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