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Paper Citation Record · LEDGER

Tokenizing Loops of Antibodies

As of 20 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2509.08707.

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

pith.paper-citation-record.v1
2509.08707 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:20:51.806152Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

69 of 69 outbound references displayed

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  • verified fuzzy0
  • unresolved68
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b03890dd-3d11-4002-94bd-7a59e1243d71 · outbound

This paper cites write newline.

Tokenizing Loops of Antibodies write newline

Reference 1

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Observation d9168387-3639-449c-a3a1-c3a9fa060515 · outbound

This paper cites @esa (Ref.

Tokenizing Loops of Antibodies @esa (Ref

Reference 2

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Observation 118261e4-1732-49d6-b0ed-5e3a4d9e5db6 · outbound

This paper cites an unresolved cited work.

Tokenizing Loops of Antibodies Unresolved cited work

Reference 3

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Observation be98559d-812d-4d1c-9fe6-812ea91e2d60 · outbound

This paper cites an unresolved cited work.

Tokenizing Loops of Antibodies Unresolved cited work

Reference 4

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Observation 15ea0a7c-dccd-4631-a1f1-03112843c6e8 · outbound

This paper cites Pyigclassify: a database of antibody cdr structural classifications.

Tokenizing Loops of Antibodies Pyigclassify: a database of antibody cdr structural classifications

Reference 5

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Observation c848ae56-0432-4467-ba0e-fe29aa5cdb6e · outbound

This paper cites Rosettaantibodydesign (rabd): A general framework for computational antibody design.

Tokenizing Loops of Antibodies Rosettaantibodydesign (rabd): A general framework for computational antibody design

Reference 6

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Observation 4c1e61d7-996c-4e36-adfd-f4f358d8a7d2 · outbound

This paper cites Can alphafold2 predict the impact of missense mutations on structure? Nature structural & molecular biology, 29 0 (1): 0 1--2, 2022.

Tokenizing Loops of Antibodies Can alphafold2 predict the impact of missense mutations on structure? Nature structural & molecular biology, 29 0 (1): 0 1--2, 2022

Reference 7

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Observation 15457659-9a6d-456d-8a51-6fc8950a7ae0 · outbound

This paper cites Canonical structures for the hypervariable regions of immunoglobulins.

Tokenizing Loops of Antibodies Canonical structures for the hypervariable regions of immunoglobulins

Reference 8

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Observation 6422bdd0-f164-4546-b2bd-b8ddedfabe24 · outbound

This paper cites Antibodies to watch in 2025.

Tokenizing Loops of Antibodies Antibodies to watch in 2025

Reference 9

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Observation 895db7d5-aa18-4986-aad7-53d4f6ab45eb · outbound

This paper cites scgpt: toward building a foundation model for single-cell multi-omics using generative ai.

Tokenizing Loops of Antibodies scgpt: toward building a foundation model for single-cell multi-omics using generative ai

Reference 10

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Observation 0f3f1e12-4772-479c-b2ab-193343c8129f · outbound

This paper cites Robust deep learning--based protein sequence design using proteinmpnn.

Tokenizing Loops of Antibodies Robust deep learning--based protein sequence design using proteinmpnn

Reference 11

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Observation e5725b0c-2cb4-4706-81ed-492f052627f4 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Tokenizing Loops of Antibodies Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 12

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Observation 4e040541-717b-4772-a9fd-cc610f6b8a70 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Tokenizing Loops of Antibodies An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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Observation 482b0a82-2309-4a44-9749-4b16e6fbaa71 · outbound

This paper cites Inverse folding for antibody sequence design using deep learning.

Tokenizing Loops of Antibodies Inverse folding for antibody sequence design using deep learning

Reference 14

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Observation f6f93e0b-73b2-43c2-9a66-9d2baab9f269 · outbound

This paper cites Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins.

Tokenizing Loops of Antibodies Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins

Reference 15

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Observation 2d65c5c6-ee72-4375-a711-ca2fefebb110 · outbound

This paper cites Computational design of therapeutic antibodies with improved developability: efficient traversal of binder landscapes and rescue of escape mutations.

Tokenizing Loops of Antibodies Computational design of therapeutic antibodies with improved developability: efficient traversal of binder landscapes and rescue of escape mutations

Reference 16

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Observation d94a97b3-6723-40c7-b586-a975a2eca3e7 · outbound

This paper cites Anarci: antigen receptor numbering and receptor classification.

Tokenizing Loops of Antibodies Anarci: antigen receptor numbering and receptor classification

Reference 17

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Observation 1f359507-b432-4105-b225-a9eb247928b0 · outbound

This paper cites Sabdab: the structural antibody database.

Tokenizing Loops of Antibodies Sabdab: the structural antibody database

Reference 18

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Observation 4d034ce8-daaf-48e0-b782-5b2a1ebb4281 · outbound

This paper cites Esm cambrian: Revealing the mysteries of proteins with unsupervised learning, December 2024.

Tokenizing Loops of Antibodies Esm cambrian: Revealing the mysteries of proteins with unsupervised learning, December 2024

Reference 19

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Observation ac01931d-510a-4cfe-ba16-48ce60bd408c · outbound

This paper cites Learning universal representations of intermolecular interactions with atomica.

Tokenizing Loops of Antibodies Learning universal representations of intermolecular interactions with atomica

Reference 20

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Observation 662acbf4-46ea-4f11-8206-ead7d1e023ea · outbound

This paper cites Transitions of cdr-l3 loop canonical cluster conformations on the micro-to-millisecond timescale.

Tokenizing Loops of Antibodies Transitions of cdr-l3 loop canonical cluster conformations on the micro-to-millisecond timescale

Reference 21

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Observation 975c6a72-b95f-40d9-bf00-2fdaf7aecf42 · outbound

This paper cites Antibody cdr loops as ensembles in solution vs.

Tokenizing Loops of Antibodies Antibody cdr loops as ensembles in solution vs

Reference 22

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Observation 63085a26-d3ab-49d4-b515-35e154e37fb3 · outbound

This paper cites Lab-in-the-loop therapeutic antibody design with deep learning.

Tokenizing Loops of Antibodies Lab-in-the-loop therapeutic antibody design with deep learning

Reference 23

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Observation a521b982-7750-4655-81ac-14568a3f7ea6 · outbound

This paper cites Computing and visualizing dynamic time warping alignments in r: the dtw package.

Tokenizing Loops of Antibodies Computing and visualizing dynamic time warping alignments in r: the dtw package

Reference 24

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Observation 9f568afc-9c65-47e0-8bb6-4ec2dc37fb89 · outbound

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

Tokenizing Loops of Antibodies Simulating 500 million years of evolution with a language model

Reference 25

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Observation e134b0a3-6bc9-4c82-8c6a-94a5c0131d48 · outbound

This paper cites Bilingual language model for protein sequence and structure.

Tokenizing Loops of Antibodies Bilingual language model for protein sequence and structure

Reference 26

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Observation 7dbba74a-2602-4770-a18c-98fc1c77b5bf · outbound

This paper cites Efficient evolution of human antibodies from general protein language models.

Tokenizing Loops of Antibodies Efficient evolution of human antibodies from general protein language models

Reference 27

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Observation eb635c7b-f166-4fce-96f6-7078b0e599da · outbound

This paper cites AntiFold: Improved antibody structure-based design using inverse folding.

Tokenizing Loops of Antibodies AntiFold: Improved antibody structure-based design using inverse folding

Reference 28

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Observation 1fbe5ea0-7cf7-41f4-9e3d-b32bdb740b6d · outbound

This paper cites Yet another numbering scheme for immunoglobulin variable domains: an automatic modeling and analysis tool.

Tokenizing Loops of Antibodies Yet another numbering scheme for immunoglobulin variable domains: an automatic modeling and analysis tool

Reference 29

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Observation d95743e8-43bc-40c4-9470-399fa978e605 · outbound

This paper cites Learning inverse folding from millions of predicted structures.

Tokenizing Loops of Antibodies Learning inverse folding from millions of predicted structures

Reference 30

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Observation f1691765-a3c2-4389-bc8a-2fda61679356 · outbound

This paper cites Learning from Protein Structure with Geometric Vector Perceptrons.

Tokenizing Loops of Antibodies Learning from Protein Structure with Geometric Vector Perceptrons

Reference 31

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Observation 966ef8c6-3931-4b98-8554-346eefc5e7ce · outbound

This paper cites A penultimate classification of canonical antibody cdr conformations.

Tokenizing Loops of Antibodies A penultimate classification of canonical antibody cdr conformations

Reference 32

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Observation a3a56e91-3b51-459a-a665-7b7a3fe035e7 · outbound

This paper cites Hiding in plain sight: structure and sequence analysis reveals the importance of the antibody de loop for antibody-antigen binding.

Tokenizing Loops of Antibodies Hiding in plain sight: structure and sequence analysis reveals the importance of the antibody de loop for antibody-antigen binding

Reference 33

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Observation db47e2ce-a6e1-4aca-a11f-87e58b23fc8f · outbound

This paper cites Large scale paired antibody language models.

Tokenizing Loops of Antibodies Large scale paired antibody language models

Reference 34

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Observation 3ac4225b-3563-4582-a199-2ba42374b846 · outbound

This paper cites Protein function prediction as approximate semantic entailment.

Tokenizing Loops of Antibodies Protein function prediction as approximate semantic entailment

Reference 35

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Observation f0f739c4-55bb-4884-9668-70b1e23d9982 · outbound

This paper cites Stcrdab: the structural t-cell receptor database.

Tokenizing Loops of Antibodies Stcrdab: the structural t-cell receptor database

Reference 36

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Observation b537ec43-d254-40ee-a2c7-2f59cbf21178 · outbound

This paper cites Prosst: Protein language modeling with quantized structure and disentangled attention.

Tokenizing Loops of Antibodies Prosst: Protein language modeling with quantized structure and disentangled attention

Reference 37

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Observation 35e76cfd-45e4-4af0-8650-d74bcbceb6bd · outbound

This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.

Tokenizing Loops of Antibodies Evolutionary-scale prediction of atomic-level protein structure with a language model

Reference 38

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Observation 079507c4-89f1-4acf-ac42-5c109fd193db · outbound

This paper cites Do antibody cdr loops change conformation upon binding? In MAbs, volume 16, pp.\ 2322533.

Tokenizing Loops of Antibodies Do antibody cdr loops change conformation upon binding? In MAbs, volume 16, pp.\ 2322533

Reference 39

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source=arxiv_source observed=2026-08-04T20:20:51.712971Z digest=sha256:782dae0859c5c3ecd2ce921464ef43b2de5ac39621b6187d3ad8b805f61dfabe

Observation 614c27c3-14a5-4095-b721-5aaaf09c612c · outbound

This paper cites Scop: a structural classification of proteins database.

Tokenizing Loops of Antibodies Scop: a structural classification of proteins database

Reference 40

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source=arxiv_source observed=2026-08-04T20:20:51.715761Z digest=sha256:c941a1e896880d5fcded0731027f6cb115b3be0377f05e0363de73f30fda0f96

Observation 7c977334-62c9-4bae-a40c-2706626e4b35 · outbound

This paper cites Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space.

Tokenizing Loops of Antibodies Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Reference 41

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no resolver link, observed 2026-08-04T20:20:51.718542Z

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source=arxiv_source observed=2026-08-04T20:20:51.718542Z digest=sha256:6fe16aef433e88ad2fcf3de2c32ea365961c94b2245bf4db6bcb24d446828ce3

Observation c5c35e9e-f34d-47d8-8991-036a53e73260 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Tokenizing Loops of Antibodies UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 42

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no resolver link, observed 2026-08-04T20:20:51.721302Z

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source=arxiv_source observed=2026-08-04T20:20:51.721302Z digest=sha256:436be674e4557048c64c13bc005c5f449ea85956593c5ea4f5933cf6895d0fee

Observation c3251d0f-5e29-4f5c-9018-b7e2244207a0 · outbound

This paper cites Pfam: The protein families database in 2021.

Tokenizing Loops of Antibodies Pfam: The protein families database in 2021

Reference 43

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no resolver link, observed 2026-08-04T20:20:51.724641Z

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source=arxiv_source observed=2026-08-04T20:20:51.724641Z digest=sha256:d0f16a70f7cd5f0a81435d0c1683201e759e57c1fbd42bc28ea9c60cdc1cc080

Observation 52beae30-e624-45ea-a0ee-6bb83ec48872 · outbound

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

Tokenizing Loops of Antibodies A new clustering of antibody cdr loop conformations

Reference 44

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no resolver link, observed 2026-08-04T20:20:51.727502Z

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source=arxiv_source observed=2026-08-04T20:20:51.727502Z digest=sha256:bdb47723e3d684a55703631b55f1ceb79c4233ea7c618966fa74f609f304e3bb

Observation 191d882c-d7bf-4da5-9e22-562b955916b7 · outbound

This paper cites Proteingym: Large-scale benchmarks for protein fitness prediction and design.

Tokenizing Loops of Antibodies Proteingym: Large-scale benchmarks for protein fitness prediction and design

Reference 45

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no resolver link, observed 2026-08-04T20:20:51.730516Z

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source=arxiv_source observed=2026-08-04T20:20:51.730516Z digest=sha256:556303b1891edd982a5470d22ad500f5994d412f3bea2813b4405814c63eccb6

Observation 2d706012-47d9-4e2b-8477-7cd5824976d3 · outbound

This paper cites Length-independent structural similarities enrich the antibody cdr canonical class model.

Tokenizing Loops of Antibodies Length-independent structural similarities enrich the antibody cdr canonical class model

Reference 46

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no resolver link, observed 2026-08-04T20:20:51.733850Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.733850Z digest=sha256:08d73cfd3ca849cc5552f3a4105a5ff51674c7478667b4050127ffddb180a6f3

Observation a18d5901-43a5-4269-a8c7-48f161e2e3e7 · outbound

This paper cites Observed antibody space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences.

Tokenizing Loops of Antibodies Observed antibody space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences

Reference 47

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no resolver link, observed 2026-08-04T20:20:51.736552Z

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source=arxiv_source observed=2026-08-04T20:20:51.736552Z digest=sha256:981d16641703099ec3cf24ad035ee152d9d3669ce8bcefd249e1ba074aaa16cb

Observation c31fd9d7-b53a-4f99-abf9-5989b9f45f6b · outbound

This paper cites Addressing the antibody germline bias and its effect on language models for improved antibody design.

Tokenizing Loops of Antibodies Addressing the antibody germline bias and its effect on language models for improved antibody design

Reference 48

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no resolver link, observed 2026-08-04T20:20:51.739254Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.739254Z digest=sha256:1fd7363cd0b5ff1477eabf099f800947f54038ead67811a6f7b03e8c6413e29b

Observation 849cf2ed-a20e-487c-a023-7848b6ce3c54 · outbound

This paper cites Classification schemes for protein structure and function.

Tokenizing Loops of Antibodies Classification schemes for protein structure and function

Reference 49

Resolution
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no resolver link, observed 2026-08-04T20:20:51.742642Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.742642Z digest=sha256:2cd6fa3a6bdbb429365865572a2fff473fee5e8cfb35a474e80409b83acb0af7

Observation 3fd40639-2daf-4df3-b0c5-9b9281415a39 · outbound

This paper cites Using alphafold to predict the impact of single mutations on protein stability and function.

Tokenizing Loops of Antibodies Using alphafold to predict the impact of single mutations on protein stability and function

Reference 50

Resolution
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no resolver link, observed 2026-08-04T20:20:51.746223Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.746223Z digest=sha256:659fb82a518618a5c93b16983351dcb77f519d804fdda779e71343f416370caf

Observation 12b73b7d-c2e0-4f15-b317-fa0a0a8cc2eb · outbound

This paper cites QuaterNet: A Quaternion-based Recurrent Model for Human Motion.

Tokenizing Loops of Antibodies QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T20:20:51.749600Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.749600Z digest=sha256:6503eb2b46ba3b02dcc4125f1784bed90c885e368b5e908b4c50c9079854ac10

Observation 667d08d2-969e-4596-bf57-66a9fb0138a8 · outbound

This paper cites Structural classification of cdr-h3 in antibodies.

Tokenizing Loops of Antibodies Structural classification of cdr-h3 in antibodies

Reference 52

Resolution
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no resolver link, observed 2026-08-04T20:20:51.752528Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.752528Z digest=sha256:861f8715f60799a1568bfad5035ef6352f147ef1e63d9c56bdc908de25f953e9

Observation 35a2572d-4d7a-40cb-96f9-a247e3969a13 · outbound

This paper cites Prosite, a protein domain database for functional characterization and annotation.

Tokenizing Loops of Antibodies Prosite, a protein domain database for functional characterization and annotation

Reference 53

Resolution
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no resolver link, observed 2026-08-04T20:20:51.755253Z

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source=arxiv_source observed=2026-08-04T20:20:51.755253Z digest=sha256:5e93e4a8f831b8d85ada3165833b1595c8cbbb995e1d2f255e1fd5f85247098c

Observation fb819503-8837-4e4e-80ef-8c0546583919 · outbound

This paper cites Mmseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.

Tokenizing Loops of Antibodies Mmseqs2 enables sensitive protein sequence searching for the analysis of massive data sets

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-04T20:20:51.757995Z

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source=arxiv_source observed=2026-08-04T20:20:51.757995Z digest=sha256:7673dfa3bda1c5d250f5e85b258f6200d979e03b9ec356f74a516883db4eb50e

Observation bc86cdb1-3f6a-4cec-a861-9b4d5cbbb0e0 · outbound

This paper cites Saprot: Protein language modeling with structure-aware vocabulary.

Tokenizing Loops of Antibodies Saprot: Protein language modeling with structure-aware vocabulary

Reference 55

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no resolver link, observed 2026-08-04T20:20:51.760645Z

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source=arxiv_source observed=2026-08-04T20:20:51.760645Z digest=sha256:b37200adb129d38ff9feb4d5715677ae9e9532a4ad4e5fc6d277d424b02b1af8

Observation 52b34c35-5d37-4358-8dcd-78e7ff1e8f9d · outbound

This paper cites Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability.

Tokenizing Loops of Antibodies Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability

Reference 56

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no resolver link, observed 2026-08-04T20:20:51.763458Z

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source=arxiv_source observed=2026-08-04T20:20:51.763458Z digest=sha256:f5ab2050a7cfbee07aa004117baab6c64caab45bc2938b8bafa0723f2cf464b8

Observation 588e714d-6144-4991-a2af-6ccb07c1a596 · outbound

This paper cites Structural diversity in a human antibody germline library.

Tokenizing Loops of Antibodies Structural diversity in a human antibody germline library

Reference 57

Resolution
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no resolver link, observed 2026-08-04T20:20:51.766278Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.766278Z digest=sha256:afff20793ae978dad7cf2de382be030da68c70fcbe876b9575b78b201079fc77

Observation a39ebc88-5bc3-4437-b016-e5e60e87864d · outbound

This paper cites Somatic generation of antibody diversity.

Tokenizing Loops of Antibodies Somatic generation of antibody diversity

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T20:20:51.768971Z

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source=arxiv_source observed=2026-08-04T20:20:51.768971Z digest=sha256:9cf5fa2835c67fbf4c3d45e35721cf066b074cb43bfabb973ec9d41b12f0cd02

Observation b474c8ad-a28a-4a40-91a3-17dfaa287971 · outbound

This paper cites Neural discrete representation learning.

Tokenizing Loops of Antibodies Neural discrete representation learning

Reference 59

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no resolver link, observed 2026-08-04T20:20:51.771915Z

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source=arxiv_source observed=2026-08-04T20:20:51.771915Z digest=sha256:01cdba377a6cf0c3d44e27b1fa01a793cf9cc0d6851fb10e6d973724664a53cc

Observation 5810a99a-9969-4303-a0a4-2c8d5402e346 · outbound

This paper cites Fast and accurate protein structure search with foldseek.

Tokenizing Loops of Antibodies Fast and accurate protein structure search with foldseek

Reference 60

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unresolved
no resolver link, observed 2026-08-04T20:20:51.774684Z

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source=arxiv_source observed=2026-08-04T20:20:51.774684Z digest=sha256:5560e1aa55e3ef10e0fa035fc38ac2adc7d84beff57574f2ce499b7f2ef4bb6c

Observation 53edb2e4-78d9-4231-a8b4-cb043e8fbfcd · outbound

This paper cites Learning Hierarchical Protein Representations via Complete 3D Graph Networks.

Tokenizing Loops of Antibodies Learning Hierarchical Protein Representations via Complete 3D Graph Networks

Reference 61

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no resolver link, observed 2026-08-04T20:20:51.777739Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.777739Z digest=sha256:0aa1fbba38ca0a0aaf6bf23d05d60ff980d0cf4697db43806f6f80b3ea64dc2f

Observation 11cb3733-7c03-42bc-92af-3726ab11fdaf · outbound

This paper cites Scalop: sequence-based antibody canonical loop structure annotation.

Tokenizing Loops of Antibodies Scalop: sequence-based antibody canonical loop structure annotation

Reference 62

Resolution
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no resolver link, observed 2026-08-04T20:20:51.780841Z

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source=arxiv_source observed=2026-08-04T20:20:51.780841Z digest=sha256:cd0f39908023faf36403011eed024f3cf1898bd4879337001bcc7f5777d782b3

Observation dde90299-22ff-4a8d-9daf-61d87061e392 · outbound

This paper cites Comparative analysis of the cdr loops of antigen receptors.

Tokenizing Loops of Antibodies Comparative analysis of the cdr loops of antigen receptors

Reference 63

Resolution
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no resolver link, observed 2026-08-04T20:20:51.783596Z

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source=arxiv_source observed=2026-08-04T20:20:51.783596Z digest=sha256:ef7afb101cd106a6c282db780f472f582572f06019eadcf1497578ab2caa6961

Observation 554c70f4-8a16-4648-9606-a2b8897cda56 · outbound

This paper cites Diversity in the cdr3 region of vh is sufficient for most antibody specificities.

Tokenizing Loops of Antibodies Diversity in the cdr3 region of vh is sufficient for most antibody specificities

Reference 64

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unresolved
no resolver link, observed 2026-08-04T20:20:51.786545Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.786545Z digest=sha256:91b1d166e460d457d489f00d2140c18b1506913caa1ffd1d9b45e19caaca637c

Observation 75020afd-20c1-46b2-8a52-b41458d78e64 · outbound

This paper cites Masked inverse folding with sequence transfer for protein representation learning.

Tokenizing Loops of Antibodies Masked inverse folding with sequence transfer for protein representation learning

Reference 65

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no resolver link, observed 2026-08-04T20:20:51.790032Z

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source=arxiv_source observed=2026-08-04T20:20:51.790032Z digest=sha256:e9f64b0f5d532692dafff67ceaa11fb753e42297b70697798a13e29ff563e1be

Observation d8808d61-548a-41de-a8fd-fdc2d0682130 · outbound

This paper cites Protein Structure Tokenization: Benchmarking and New Recipe.

Tokenizing Loops of Antibodies Protein Structure Tokenization: Benchmarking and New Recipe

Reference 66

Resolution
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no resolver link, observed 2026-08-04T20:20:51.793732Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T20:20:51.793732Z digest=sha256:2c57266061d0e1746e5f65a29406e83b76013083a736ee2be1fb3a7bc35589ad

Observation c2d45eb4-e713-422d-8ee0-09db530ba1d6 · outbound

This paper cites Fast and Accurate Antibody Sequence Design via Structure Retrieval.

Tokenizing Loops of Antibodies Fast and Accurate Antibody Sequence Design via Structure Retrieval

Reference 67

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unresolved
no resolver link, observed 2026-08-04T20:20:51.797200Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:20:51.797200Z digest=sha256:cbbb9f1cbf0f059ed8abcc60fa9bc33630facf7d35920d25dc6fc0e9842364ef

Observation 245de55a-af88-4c10-8021-9234fa9c8103 · outbound

This paper cites Protein Representation Learning by Geometric Structure Pretraining.

Tokenizing Loops of Antibodies Protein Representation Learning by Geometric Structure Pretraining

Reference 68

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unresolved
no resolver link, observed 2026-08-04T20:20:51.800268Z

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source=arxiv_source observed=2026-08-04T20:20:51.800268Z digest=sha256:bb61f1ac0247b8fe3d85b0f7a7c49831daf8411da47b9ee1e97e76f250161b96

Observation 4c869e2b-ffb7-45b4-a5a9-cf20b067dedd · outbound

This paper cites Benchmark for antibody binding affinity maturation and design.

Tokenizing Loops of Antibodies Benchmark for antibody binding affinity maturation and design

Reference 70

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no resolver link, observed 2026-08-04T20:20:51.806152Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:20:51.806152Z digest=sha256:3cd328ada68fe902519439a21bc2cdeefa4bd28bd69be0abc715bf4b713cd103

Pith citing papers

No inbound Pith citation observations are available.