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Paper Citation Record · LEDGER

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11906.

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

pith.paper-citation-record.v1
2406.11906 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:45.028923Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:48:12.850062Z

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 9c28d5dc-4523-4235-abef-1ca127cfbc40 · inbound

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing cites this paper.

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:48:12.925540Z

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=arxiv_source observed=2026-08-07T14:48:12.299549Z digest=sha256:89e2533d6930feda71447810e5ee92b0094c83ced2f975e4dc2e61f0d6db23a4

Observation 14152b93-103c-4a49-af69-a4b908ac0dbe · inbound

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing cites this paper.

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:45.028923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:05:45.028923Z digest=sha256:2d6b17d66d1d0892332ce3b31213b2d5504357d05da622ecdb4e3a1244600016