Paper Citation Record · LEDGER

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics

As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.22877.

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

pith.paper-citation-record.v1
2507.22877 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:16:37.729186Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

24 of 24 outbound references displayed

verified exact10
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 316c58e7-9308-4ae9-b4cc-ab5e0a36f173 · outbound

This paper cites (a) Separate 'views' or `omics types to be input to separate marginal networks.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics (a) Separate 'views' or `omics types to be input to separate marginal networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:16:40.744590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b831b555-8ea2-4997-b6a1-b6bb3726efba · outbound

This paper cites CustOmics: A versatile deep-learning based strategy for multi-omics integration,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics CustOmics: A versatile deep-learning based strategy for multi-omics integration,

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T11:16:39.107029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd033f68-5574-4b89-9b77-9e65693d6450 · outbound

This paper cites A hierarchical integration deep ﬂexible neural forest framework for cancer subtype classiﬁcation by integrating multi-omics data,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics A hierarchical integration deep ﬂexible neural forest framework for cancer subtype classiﬁcation by integrating multi-omics data,

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T11:16:39.262902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 184618f7-8fe5-42f3-b4f5-102706ec65c4 · outbound

This paper cites MOLI: multi-omics late integration with deep neural networks for drug response prediction,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics MOLI: multi-omics late integration with deep neural networks for drug response prediction,

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T11:16:38.967490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2da9b09a-3a4f-44f8-a49d-1f214261a30e · outbound

This paper cites Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping,

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:16:39.763006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb32dc1a-0573-4c26-b451-43975e58855d · outbound

This paper cites Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer,

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T11:16:38.797592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26df7638-3931-4632-900e-6fe89cda6003 · outbound

This paper cites A Variational Information Bottleneck Approach to Multi-Omics Data Integration,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics A Variational Information Bottleneck Approach to Multi-Omics Data Integration,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:16:40.329255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d3a2751-ed70-4e8c-b8b1-a94aad7b8600 · outbound

This paper cites Verifying explainability of a deep learning tissue classiﬁer trained on RNA-seq data,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Verifying explainability of a deep learning tissue classiﬁer trained on RNA-seq data,

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T11:16:38.583626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3abf5347-7c8c-4fcb-af85-d75e4f24a4ac · outbound

This paper cites Deep learning decodes the principles of diPerential gene expression,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Deep learning decodes the principles of diPerential gene expression,

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T11:16:38.438726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 209bb7e7-467b-4a30-b060-d6461a35ebab · outbound

This paper cites Learning Important Features Through Propagating Activation DiPerences,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Learning Important Features Through Propagating Activation DiPerences,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:16:40.188918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de6a2f74-e681-4f15-b253-da830082a243 · outbound

This paper cites A review of cancer data fusion methods based on deep learning,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics A review of cancer data fusion methods based on deep learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:36.923682Z

Source-reported events for the cited work

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Observation 85092c6c-b309-4e15-ab03-781b2f51f8ed · outbound

This paper cites Deep latent space fusion for adaptive representation of heterogeneous multi-omics data,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Deep latent space fusion for adaptive representation of heterogeneous multi-omics data,

Reference 13

Resolution: verified exact; doi, observed 2026-08-06T11:16:38.316596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27e24cd1-7fc7-4a83-ac99-c54698c27656 · outbound

This paper cites Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:37.093323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd29829-6e70-4ee6-b4eb-6ec6d9205b43 · outbound

This paper cites Gene-centric multi-omics integration with convolutional encoders for cancer drug response prediction,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Gene-centric multi-omics integration with convolutional encoders for cancer drug response prediction,

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:16:39.525996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8dc519b1-731b-4ece-a4be-7eb166c7b4b8 · outbound

This paper cites The Cancer Genome Atlas Pan-Cancer analysis project,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics The Cancer Genome Atlas Pan-Cancer analysis project,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:37.226830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 489d7531-974a-49c3-980d-7a1b589282f3 · outbound

This paper cites Focal Loss for Dense Object Detection.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Focal Loss for Dense Object Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:37.321176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffd52a4d-b972-4a0d-92e5-aac6651bb97e · outbound

This paper cites Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:37.395902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42a8a64b-4d03-46ca-b93f-8c5aa6e16353 · outbound

This paper cites A compendium of multi-omics data illuminating host responses to lethal human virus infections,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics A compendium of multi-omics data illuminating host responses to lethal human virus infections,

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T11:16:38.157617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1327f784-9a14-477f-a262-453b6dce3441 · outbound

This paper cites A Weighted Correlation Index for Rankings with Ties.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics A Weighted Correlation Index for Rankings with Ties

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:16:38.024100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8741132-79b8-4f07-9e69-c06799c9ec67 · outbound

This paper cites Comparison of random forest, artiﬁcial neural networks and support vector machine for intelligent diagnosis of rotating machinery,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Comparison of random forest, artiﬁcial neural networks and support vector machine for intelligent diagnosis of rotating machinery,

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T11:16:37.897960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3aa2773-57da-4f32-8e25-37d9e947eeed · outbound

This paper cites V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure,.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:16:39.921267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 87cca028-18de-4374-9a16-b7843993d4bd · outbound

This paper cites an unresolved cited work.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:16:40.654091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fac1190d-d54d-4b14-a186-de23d22b8eb1 · outbound

This paper cites Available: https://papers.nips.cc/paper/2019/hash/11b9842e0a271P252c1903e7132cd68-Abstract.html.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Available: https://papers.nips.cc/paper/2019/hash/11b9842e0a271P252c1903e7132cd68-Abstract.html

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:16:40.511073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cfeb9399-e18d-4e6b-96e6-d92d7a9369c4 · outbound

This paper cites Available: https://papers.nips.cc/paper_ﬁles/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html.

Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics Available: https://papers.nips.cc/paper_ﬁles/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:16:40.061012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.