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Paper Citation Record · LEDGER

A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis

As of 19 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2501.07016.

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

pith.paper-citation-record.v1
2501.07016 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:35.898684Z

measured 3 of 3 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 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 fuzzy1
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4fcbb58-25cd-4f81-a2a2-373cdef5a4ad · outbound

This paper cites an unresolved cited work.

A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:53:36.228409Z

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.

source=pdf_text observed=2026-08-10T20:53:35.743770Z digest=sha256:2e0a8267fa5989e2197f713359800d2d33a88a8e8c320eec68aebe40a6221f4e

Observation 557e51e4-4d66-43c4-a450-fc02d6b43b86 · outbound

This paper cites Because there are differences and missing data in genomic data among cancer datasets, we apply zero- padding to fill in the missing data and generate a mask simultaneously.

A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis Because there are differences and missing data in genomic data among cancer datasets, we apply zero- padding to fill in the missing data and generate a mask simultaneously

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:36.046809Z

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.

source=pdf_text observed=2026-08-10T20:53:35.812230Z digest=sha256:d0f8672f102d17671166c39802b10a0e59597d6c88fa4a9ee46d2f3808667f04

Observation 2b54addc-7a04-423d-b17a-4987a2b6c808 · outbound

This paper cites From Sparse to Soft Mixtures of Experts.

A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis From Sparse to Soft Mixtures of Experts

Reference 3

Resolution
malformed identifier
no resolver link, observed 2026-08-10T20:53:35.898684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:35.898684Z digest=sha256:ad1671b6a5cc37c3527cc8cd5c3b7e53f97ca8ca45a690016f0827b883b07227

Pith citing papers

No inbound Pith citation observations are available.