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Paper Citation Record · LEDGER

epiGPTope: A machine learning-based epitope generator and classifier

As of 17 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2509.03351.

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

pith.paper-citation-record.v1
2509.03351 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:01:20.065683Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7513294-1638-46ad-a0b3-2a6839171f58 · outbound

This paper cites Antibody specific epitope prediction—emergence of a new paradigm.

epiGPTope: A machine learning-based epitope generator and classifier Antibody specific epitope prediction—emergence of a new paradigm

Reference 6

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T11:01:20.244784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T11:01:20.057777Z digest=sha256:67d83716d8bc254cecfe2d9d963cbf9f7dbb650d807b700b9ae4b9ee8072c872

Observation 3d935720-4624-4654-beb0-10fb10a0e4a5 · outbound

This paper cites Language models are unsupervised multitask learners.

epiGPTope: A machine learning-based epitope generator and classifier Language models are unsupervised multitask learners

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:20.061913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:20.061913Z digest=sha256:46d7cc6badcb3b54b455264cd83d5bb22e67857e9a739d702c966940b05755a6

Observation af4250cf-6551-4cda-8f3b-444c313a3c29 · outbound

This paper cites CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks.

epiGPTope: A machine learning-based epitope generator and classifier CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:20.065683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:20.065683Z digest=sha256:b764069496c9fdd7d9d63fb459e67be70bd1c32119d835469247759e8b6710a0

Pith citing papers

No inbound Pith citation observations are available.