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Paper Citation Record · LEDGER

Compressive Bayesian non-negative matrix factorization for mutational signatures analysis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.10974.

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

pith.paper-citation-record.v1
2404.10974 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:55:24.377089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.286691Z

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 375c4503-cb00-40a3-8ab2-a42fc53cc518 · inbound

Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures cites this paper.

Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures Compressive Bayesian non-negative matrix factorization for mutational signatures analysis

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T23:55:24.377089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:55:24.377089Z digest=sha256:c9d1131ae19ba54b96209b571776f9401ae3e4bbde118715fc64761b254d75df

Observation d5ebfdd6-5a10-42d2-956d-3b738b03e1ce · inbound

Inference on covariance structure in high-dimensional multi-view data cites this paper.

Inference on covariance structure in high-dimensional multi-view data Compressive Bayesian non-negative matrix factorization for mutational signatures analysis

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:11:47.538881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:aa4cdfa65bf1a09e7cdbd0033bf31da21e834da36c6f045282789691b77c50fc

Observation b55816ef-8e19-4241-ae26-9f0755ef1eb4 · inbound

Large-scale empirical tuning and comparison of default optimizers for variational inference cites this paper.

Large-scale empirical tuning and comparison of default optimizers for variational inference Compressive Bayesian non-negative matrix factorization for mutational signatures analysis

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.288531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T20:02:53.485837Z digest=sha256:68510e00e2c0d790d1479e7d9e592f382949a013eaacf919edc82ac906cac637