Pith. sign in

Paper Citation Record · LEDGER

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.02022.

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

pith.paper-citation-record.v1
2505.02022 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:08:51.094106Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy47
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85c5673f-c603-4f77-987d-7a52aaa1f59e · outbound

This paper cites Development of therapeutic antibodies for the treatment of diseases.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Development of therapeutic antibodies for the treatment of diseases

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:54.589046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:49.933911Z digest=sha256:9ef909886747ff59f5a95f6082f2bc80ce8a5361cb275799e556a07f4f04050c

Observation a0ebdbed-86a4-4923-968e-0b6f171eec36 · outbound

This paper cites Development trends for human monoclonal antibody therapeutics.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Development trends for human monoclonal antibody therapeutics

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:54.383390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.021427Z digest=sha256:f6e0ee9fc3279cfc5acf54e68399f5d19fa781596a2eb8756c76611ddb6b55a6

Observation 4441596d-aaef-49b9-a3be-ae9c98a3494b · outbound

This paper cites Structure and function of immunoglobulins.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Structure and function of immunoglobulins

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:54.357421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.059361Z digest=sha256:fa3c3a2bbc20b5a70198a879a1f3ffb82f5264b825c7921e8da8ec5cff721500

Observation 99c26386-f242-41ca-85f0-580fd8aff38b · outbound

This paper cites Nanobody engineering: computational modelling and design for biomedical and therapeutic applications.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobody engineering: computational modelling and design for biomedical and therapeutic applications

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:54.333117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.065480Z digest=sha256:b0ab1c1bc3c32b5dd1cf8074e5a03a6f6477c3d3dcc75544429ae3cfca82863c

Observation 3743483b-f803-467e-aafc-38457391474e · outbound

This paper cites Nanobodies: natural single-domain antibodies.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobodies: natural single-domain antibodies

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:54.232867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.072553Z digest=sha256:a4013c05504d53c9e59f7c0fdb5e3b44aca8b256ab85524ec9dc7be650178199

Observation 0c6f1f1b-8f53-40d3-ad80-cd1a03631176 · outbound

This paper cites The therapeutic potential of nanobodies.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks The therapeutic potential of nanobodies

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:54.214571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.081186Z digest=sha256:ca1540e94d18aeae417d1cce474f83428616c49accbea83065a579b57c8cce48

Observation c531e3b7-3825-4549-844a-dcd505a6c2ba · outbound

This paper cites Nanobody-based products as research and diagnostic tools.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobody-based products as research and diagnostic tools

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:54.062150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.087500Z digest=sha256:5c683b7d1f375ac3d064242b489223323962a4c7d95e7720a940838cc9745ba0

Observation 9cbc7a7d-4c86-4f2c-9fca-bae2247ef1f7 · outbound

This paper cites Nanobodies as versatile tools to understand, diagnose, visualize and treat cancer.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobodies as versatile tools to understand, diagnose, visualize and treat cancer

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.965551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.098346Z digest=sha256:d3ded6e537161c2cd3e27076d4447c83d7e8864e9f9929fd3e5af2f7f85204e7

Observation 74b94506-462c-44fe-bfad-fbe29005ce4b · outbound

This paper cites Discovery of nanobodies: a comprehensive review of their applications and potential over the past five years.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Discovery of nanobodies: a comprehensive review of their applications and potential over the past five years

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.941701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.104960Z digest=sha256:3e7b089c8c56b6d35acb26441da66cc115ef02881794a49fddf35eab07a21477

Observation b003a445-8b30-4e5f-9499-ea38a1b6efeb · outbound

This paper cites Nanobody: a promising toolkit for molecular imaging and disease therapy.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobody: a promising toolkit for molecular imaging and disease therapy

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.918894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.117092Z digest=sha256:8bba41f7b8a74094f7adeef9ed293c7b7c8cb20bce124cf70b77e351214f88d0

Observation 3f373244-50f9-4641-a751-1086e0338ae5 · outbound

This paper cites Nanobodies as therapeutics: big opportunities for small antibodies.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobodies as therapeutics: big opportunities for small antibodies

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.877760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.122439Z digest=sha256:72736b05ea750619803bf5786244e29e01780b17105754dfca6b09cc78de82f1

Observation c1e55bc9-e745-46c0-93b2-47e23d3c61c4 · outbound

This paper cites Observed antibody space: a resource for data mining next-generation sequencing of antibody repertoires.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Observed antibody space: a resource for data mining next-generation sequencing of antibody repertoires

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.770847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.130279Z digest=sha256:d1a4232c73ff2dcfcca639b9a4905ce129b3891500d2710d5ebfaaccdce32c4c

Observation 0f6620b4-b599-4bac-b5dc-23c156e554c1 · outbound

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

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Observed antibody space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.167908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.167908Z digest=sha256:e2eb3894a8443b3bc0aeb2276beff18172a47a1a2c76cd030bc3af91e3849fde

Observation 0f319f9c-18cc-4f7c-89d7-60c6fecb6287 · outbound

This paper cites Indi—integrated nanobody database for immunoinformatics.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Indi—integrated nanobody database for immunoinformatics

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.649176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.173529Z digest=sha256:c1c15bbd4902a8dfc678d6ccb7c15de4b8f03d19cf30b2b09a7033414ce38514

Observation 43fe9315-9d10-416e-9377-403332a7869c · outbound

This paper cites A SARS-CoV-2 interaction dataset and VHH sequence corpus for antibody language models.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks A SARS-CoV-2 interaction dataset and VHH sequence corpus for antibody language models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.627729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.180961Z digest=sha256:312b426cce9e5e0835f4535a29e6b84411ed53a9e53780682ab3a95e4d7654d2

Observation 128bc397-f399-40cb-8150-3dbdc6007a98 · outbound

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

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Evolutionary-scale prediction of atomic-level protein structure with a language model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.215308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.215308Z digest=sha256:23747f1791e1a4e3046e551074363dc9210e408cfdb0a972a6c116c06cf3c9b4

Observation e9a0865d-6a99-4144-9f2c-d2e5fe0af560 · outbound

This paper cites Prottrans: Toward understanding the language of life through self-supervised learning.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Prottrans: Toward understanding the language of life through self-supervised learning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.591691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.285046Z digest=sha256:447ec2a155e75d2742b29ee8096d207fb6818bcb831ffe828d5218702ec3ef9e

Observation 85da90ad-1d23-4bb2-86c0-1e9626e6eb02 · outbound

This paper cites Msa transformer.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Msa transformer

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.562241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.329804Z digest=sha256:a80ccedf31c3091d730f5a3307fcfdf422a2423a47d1315a7d4c9373adc17249

Observation a3e7e3ac-a80c-4b86-b124-05cb14d1cd4d · outbound

This paper cites Evaluating protein transfer learning with tape.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Evaluating protein transfer learning with tape

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.344575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.344575Z digest=sha256:71d6b0d300a5668492ec3c7d1066a2c200e879f1420af3a0e759dd6c5968abd7

Observation b7be5972-a479-4a5c-bf59-717c8b5febb7 · outbound

This paper cites ProGen: Language Modeling for Protein Generation.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks ProGen: Language Modeling for Protein Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.350731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.350731Z digest=sha256:68ca338080d9dbf95e94418e4d10e28c0d06d970bd38eef6b3d018a39fd50a17

Observation bdfc98a2-b073-4615-9aa6-4ec541b11d79 · outbound

This paper cites Language models enable zero-shot prediction of the effects of mutations on protein function.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Language models enable zero-shot prediction of the effects of mutations on protein function

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.357799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.357799Z digest=sha256:f7132026100b64465734461f702fb1c5f133bc6f456d31946c007bdff0ea868a

Observation fb21c324-0758-4b15-80a1-6ebd89492d0a · outbound

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

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Deciphering antibody affinity maturation with language models and weakly supervised learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.363913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.363913Z digest=sha256:f09a546a1346cf02dd838b983ae5f0339d8520a002f3f2612355b362052dd63e

Observation 4bd76d68-f3a5-431a-ae89-cf893448d47f · outbound

This paper cites Ablang: an antibody language model for completing antibody sequences.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Ablang: an antibody language model for completing antibody sequences

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.444975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.371930Z digest=sha256:c20e1c094f44ec205789ece234e505b0783d81aea094c232094dfe7588d0c34a

Observation 3cfa97b0-ba13-42d6-b9ee-5855101a45cc · outbound

This paper cites Enhancing antibody language models with structural information.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Enhancing antibody language models with structural information

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.429303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.377564Z digest=sha256:9aef03d32118f4c0c3c4792a8ec2f1cb8b306739d74fbbe46fe3ba212e3619cb

Observation 4da525eb-1121-4295-a9e9-46e29f378003 · outbound

This paper cites Large scale paired antibody language models.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Large scale paired antibody language models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.410023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.383159Z digest=sha256:b67fce8dcc3729dadc6b345553c7f7c388b6bf52993590ef4939d0652a710d4b

Observation 2825ef72-6890-45d3-9807-4a176eb931a7 · outbound

This paper cites nanobert: a deep learning model for gene agnostic navigation of the nanobody mutational space.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks nanobert: a deep learning model for gene agnostic navigation of the nanobody mutational space

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.393839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.390605Z digest=sha256:13ad733793c8f2dc8365e2e63010ed8d3cd0664f5bc62b5dc2ed6cfbcc8468e3

Observation c5574b2f-e4b4-4591-aa10-06775f762be3 · outbound

This paper cites Nanoberta-asp: predicting nanobody paratope based on a pretrained roberta model.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanoberta-asp: predicting nanobody paratope based on a pretrained roberta model

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.269917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.396253Z digest=sha256:5c36177ec1c6da1625c08ed21753b44a8d55c5ac204377a6bbdb4dbd4f4b1cef

Observation f6eb9a40-575f-4b46-b96f-9a93f1c8e2fa · outbound

This paper cites Nanobody–antigen interaction prediction with ensemble deep learning and prompt-based protein language models.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobody–antigen interaction prediction with ensemble deep learning and prompt-based protein language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.151030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.401370Z digest=sha256:8cbb8b30b4eb8bb203f0647637d1ef5e48372ea6db3826bcaca8b52cd89c4102

Observation c9b68066-0870-4709-9363-2aeeff143cdc · outbound

This paper cites Structure-aware protein self- supervised learning.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Structure-aware protein self- supervised learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.132072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.407144Z digest=sha256:8d7ff0fe30a1917878ee2075964f22c61f7511a72042b6985ec4bcaa204cdf6a

Observation 9685c9b6-53db-455f-9b87-5afd4739cde1 · outbound

This paper cites Hyena architecture enables fast and efficient protein language modeling.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Hyena architecture enables fast and efficient protein language modeling

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.103112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.415812Z digest=sha256:139592738c92744db135c14f414d7c171d149ae3b108b34dd72c98ef054f465c

Observation 0ec81556-adc4-47d2-8e5d-91dfa6844623 · outbound

This paper cites Deciphering the language of antibodies using self-supervised learning.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Deciphering the language of antibodies using self-supervised learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:53.078904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.421784Z digest=sha256:5f1b858337a3af44b7ac63decbfd1c99a94a5db5f9084dbaade23307334b69b1

Observation 801479fc-6100-491b-89a8-0460755b608a · outbound

This paper cites Rapid discovery of high-affinity antibodies via massively parallel sequencing, ribosome display and affinity screening.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Rapid discovery of high-affinity antibodies via massively parallel sequencing, ribosome display and affinity screening

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.985052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.430154Z digest=sha256:a49ee666051eb6d86314a8a21792514d653975369a1a4c2794068c97d7f5da00

Observation 51f5f965-784d-4e3f-8cdb-80eccd54ac2e · outbound

This paper cites On Pre-trained Language Models for Antibody.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks On Pre-trained Language Models for Antibody

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:08:51.224801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.523271Z digest=sha256:fbc4c5375e82be70ede7d05d91af7f8e41cecdf8c890091f0ac9f8423486ae0c

Observation 1967777a-2d5a-4e09-a5b2-3cb765d193de · outbound

This paper cites Nanobody: outstanding features for diagnostic and therapeutic applications.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nanobody: outstanding features for diagnostic and therapeutic applications

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.773500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.625279Z digest=sha256:6d9162edd5d7ec07510d1e221a63e1bcb6fc7f3446562b22f8c01aa43a2d7ce9

Observation 6bbc779c-d73e-41fe-9965-70c04c46ea3c · outbound

This paper cites Unveiling the new chapter in nanobody engineering: advances in traditional construction and ai-driven optimization.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Unveiling the new chapter in nanobody engineering: advances in traditional construction and ai-driven optimization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.642873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.668700Z digest=sha256:be91a688770dd84c1fa18d354f9d409f1d91712d5cb1de4afe751ea1f01fe18f

Observation 80e2d507-43d5-44a5-b882-2b24e4b35953 · outbound

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

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Antibody design using deep learning: from sequence and structure design to affinity maturation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.619259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.675885Z digest=sha256:4f65fea055a5fdd7b18f90a6de093ca9194c351e0aac81da6e0471f3c9bdfbd3

Observation a3e96b39-a469-4674-83ff-4be9a2640875 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Highly accurate protein structure prediction with alphafold

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.681032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.681032Z digest=sha256:c4f3b0e46bd63c8e8907615432b374bc04ef7d9c45f5bdae8c43f672d91f6597

Observation aa48060e-b930-43cf-b296-46a66ebb7ec0 · outbound

This paper cites High-resolution de novo structure prediction from primary sequence.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks High-resolution de novo structure prediction from primary sequence

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.575877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.688098Z digest=sha256:a7757880e0d4525b5ce467de43843bcf2039722ab666cd6bfb2b44dbd27926e3

Observation 5303261d-ed08-41ca-8529-8a195fc3472b · outbound

This paper cites Structural modeling of nanobodies: a benchmark of state-of-the-art artificial intelli- gence programs.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Structural modeling of nanobodies: a benchmark of state-of-the-art artificial intelli- gence programs

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.550172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.692579Z digest=sha256:23477b8e1cd7fc52c948b5ca03a4f68dc6b4f92e4e9520a5d15523ba72b86d36

Observation fc4e7356-83b9-4d78-9678-fa0a9d762d27 · outbound

This paper cites Peer: a comprehensive and multi-task benchmark for protein sequence understanding.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Peer: a comprehensive and multi-task benchmark for protein sequence understanding

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.445047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.700290Z digest=sha256:5e69a159fd92d1438c13763aa7433c3222e31c3da5f5f208bc7284ea6dd1f733

Observation ed45f20e-76c9-459f-8a60-d4ab10288db5 · outbound

This paper cites Flip: Benchmark tasks in fitness landscape inference for proteins.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Flip: Benchmark tasks in fitness landscape inference for proteins

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.711236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.711236Z digest=sha256:e545d2337e016e67786ffa673e2cdac61b597fc5c4149a507fc490a7616ed84c

Observation 255a300e-2c01-4c02-b4ef-011a53b00a36 · outbound

This paper cites Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.242229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.718552Z digest=sha256:e718296eaf6899b3885cce51d340f21b2332ef510b5483117b688db4f92d948e

Observation 6ec6162a-c49d-469a-8617-135531b289e8 · outbound

This paper cites Para- pred: antibody paratope prediction using convolutional and recurrent neural networks.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Para- pred: antibody paratope prediction using convolutional and recurrent neural networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.145393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.727430Z digest=sha256:afbf505888282b50b99d457a659f4beeb3c301df268d9630986ebcfc165f696f

Observation 8e5371b5-0886-4a92-9e6c-4c766f940888 · outbound

This paper cites Differences in the composition of the human antibody repertoire by b cell subsets in the blood.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Differences in the composition of the human antibody repertoire by b cell subsets in the blood

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.122533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.732912Z digest=sha256:703a2274465825637d9c7286f0adc069bf10a25b972eff758cbb5c9d3b147a82

Observation 7dcfff38-3589-43a9-a4d1-c36c80d80997 · outbound

This paper cites Cov-abdab: the coronavirus antibody database.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Cov-abdab: the coronavirus antibody database

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:50.741558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:50.741558Z digest=sha256:193300c36fa25cf2f4dcf2dad6144efcca996edcfd422e580e00e5b50415f3de

Observation 8a18ad7c-e159-4071-b895-fd6f3fbf80c1 · outbound

This paper cites Disease diagnostics using machine learning of immune receptors.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Disease diagnostics using machine learning of immune receptors

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.073838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.747771Z digest=sha256:73b766afe29f2af350693aff6817957a3f2f818ee05e71a201d7ce5e7517f697

Observation bde8fb5e-c3b9-4386-a4e3-35f3946ac181 · outbound

This paper cites Critical contribution of vh–vl interaction to reshaping of an antibody: The case of humanization of anti-lysozyme antibody, hyhel-10.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Critical contribution of vh–vl interaction to reshaping of an antibody: The case of humanization of anti-lysozyme antibody, hyhel-10

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:52.051889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.752718Z digest=sha256:76049b1271ae226472d11d06442cbb9a524f84f55cc8092bf9ec708b14e33504

Observation 5aafbcde-4682-434b-841a-0820659ea838 · outbound

This paper cites Wei, Zelda Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Wei, Zelda Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.990353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.757505Z digest=sha256:3594bdfc121bb1f5988f4100d8641dbf0731fb9171acc57bf9faf0701ac912c5

Observation 8cf90fc0-3cc8-45b1-98cf-00e77660fb9c · outbound

This paper cites Nbthermo: a new thermostability database for nanobodies.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Nbthermo: a new thermostability database for nanobodies

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.870439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.810529Z digest=sha256:091f7ce948d2db65ee9e8e5aa4847369faeab7e45e5dc4cb56cfa6b9a946f937

Observation 7808218c-6ed4-4ec0-aa7a-e27b2f7c233d · outbound

This paper cites Tempro: nanobody melting temperature estima- tion model using protein embeddings.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Tempro: nanobody melting temperature estima- tion model using protein embeddings

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.853449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.880024Z digest=sha256:674d8e82e2ab25a9e190c5686cf01ad6e5a40be781b750eddfb3be421be818e4

Observation f747df45-99cd-457f-b193-9534b4383505 · outbound

This paper cites Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through nanomelt.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through nanomelt

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.828254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:50.965440Z digest=sha256:068ccd610f252db54e9d3e0d4afbc94e7583ddc74424583731988ea9461c0379

Observation e3da825b-d5e8-4a30-a7c9-7230691e6b1e · outbound

This paper cites An in silico method to assess antibody fragment polyreactivity.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks An in silico method to assess antibody fragment polyreactivity

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.804878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:51.045715Z digest=sha256:5e5aa870d0cbd64df54ece50633276f0f8c71e23ebf9cad55f4f5d23c94bfc9a

Observation 50e89889-c11e-4102-beb4-3569115fde49 · outbound

This paper cites Gp-nano: a geometric graph network for nanobody polyreactivity prediction.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Gp-nano: a geometric graph network for nanobody polyreactivity prediction

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.782263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:51.052054Z digest=sha256:fb9c03feab01d2bf1719a4507d5ca34be23ea4411d8ae7dc9b622c7d3bb24367

Observation 632cf71f-e5a8-4a2e-a00f-5e34dfd28397 · outbound

This paper cites Plabdab-nano: a database of camelid and shark nanobodies from patents and literature.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Plabdab-nano: a database of camelid and shark nanobodies from patents and literature

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.638118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:51.057831Z digest=sha256:3c93d47181284da1925611c20e1538458bb1cfbc820f2a243b20be24e07054e0

Observation 3a0f3f49-edba-4362-b396-986c54f73bbf · outbound

This paper cites Assessing antibody and nanobody nativeness for hit selection and humanization with abnativ.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Assessing antibody and nanobody nativeness for hit selection and humanization with abnativ

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.521035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:51.065110Z digest=sha256:3508b2116367901d84c780c52cdebb4b63a208a35e6f1325e3d70b2888fb7a42

Observation 67fa631d-9722-4265-b09d-1c9e0a54f644 · outbound

This paper cites Extensive antibody search with whole spectrum black-box optimization.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Extensive antibody search with whole spectrum black-box optimization

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.493813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:51.070686Z digest=sha256:8b21f02988c4a036bd661578a452bc091bf224a0d4bba990b6b9a2c06d862f47

Observation 525fcd3e-9a37-4f42-a878-030b33ea5dbe · outbound

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

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks Mmseqs2 enables sensitive protein sequence searching for the analysis of massive data sets

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:51.078887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:51.078887Z digest=sha256:3a71719201675db13423d7dbfe175a65c7a63cc607218b1c2cdc73318838f964

Observation a770d74d-3275-46df-944e-7111a2c12ec2 · outbound

This paper cites sdab-db: the single domain antibody database, 2018.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks sdab-db: the single domain antibody database, 2018

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:51.455785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:51.086058Z digest=sha256:9bfa360c0371f24cc834377387241314b77c36af3e072d2532b3690bcbed5152

Observation ae8a600a-f782-4d42-8f09-5821bfb0da61 · outbound

This paper cites easy-search.

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks easy-search

Reference 59

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T04:08:51.403125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T04:08:51.094106Z digest=sha256:39700e2c3c032e76e31fc16ad768cbe3b527fecfb90e62ad9fa158ece987e68f

Pith citing papers

No inbound Pith citation observations are available.