Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-08T22:50:34.762837Z
Paper Citation Record · LEDGER
AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking
As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.05846.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
44 of 44 outbound references displayed
- verified exact4
- verified fuzzy36
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.