Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T18:05:53.794417Z
Paper Citation Record · LEDGER
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
As of 23 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2502.00694.
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 2026-08-23T06:30:58.430688+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
5 of 5 outbound references displayed
- verified exact5
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b03c7c0d-d0b3-45c4-8b7c-85a1d81b5fee · outbound
This paper cites Structural Biology of Influenza Hemagglutinin: An Amaranthine Adventure.
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin Structural Biology of Influenza Hemagglutinin: An Amaranthine Adventure
Reference 5
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T18:05:54.768946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2ac43928-7b4a-4463-9db1-441e3c81ce51 · outbound
This paper cites Large scale paired antibody language models.
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin Large scale paired antibody language models
Reference 32
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T18:05:54.616581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 21a45659-9740-4380-8daf-c5d00adbee05 · outbound
This paper cites AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information.
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information
Reference 46
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T18:05:54.451242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e9c17456-9db0-474b-9e8d-5581a00b519e · outbound
This paper cites tug-of-war.
Reference 61
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T18:05:54.172630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9907ef34-c0d2-4452-9c1f-b9d001b46e8b · outbound
This paper cites random-initialization.
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin random-initialization
Reference 73
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T18:05:53.996251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.