Paper Citation Record · LEDGER

Learning immune receptor representations with protein language models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.03823.

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

pith.paper-citation-record.v1
2402.03823 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:54:44.086319Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:12:39.605853Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ed245efd-4a90-427e-a06e-2b6a64f0770b · inbound

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data cites this paper.

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data Learning immune receptor representations with protein language models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.086319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed17200f-c9a7-4a97-a937-1dfa7fb73081 · inbound

SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes cites this paper.

SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes Learning immune receptor representations with protein language models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:12:39.608447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a357cba-2803-41e6-ae6f-aebde38a06db · inbound

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers cites this paper.

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers Learning immune receptor representations with protein language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:16.407103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27db0681-4e3d-4b83-8122-ec6654a07b7c · inbound

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers cites this paper.

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers Learning immune receptor representations with protein language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T04:12:44.901480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.