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Paper Citation Record · LEDGER

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology

As of 15 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.08148.

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

pith.paper-citation-record.v1
2608.08148 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:25:33.871559Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

19 of 19 outbound references displayed

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  • verified fuzzy14
  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52742f70-3921-4f6c-8ba9-884dfe765330 · outbound

This paper cites Quantifyingattentionflow in transformers.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Quantifyingattentionflow in transformers

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 15519ba6-94b8-4654-8506-3e631488692c · outbound

This paper cites Rudin,C.2019.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Rudin,C.2019

Reference 8

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Source-reported events for the cited work

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Observation 569d5d54-474c-405d-99e1-abe847510ac1 · outbound

This paper cites These advances show that biologically informed architectures can substantially improve multi-omics modeling.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology These advances show that biologically informed architectures can substantially improve multi-omics modeling

Reference 13

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Source-reported events for the cited work

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Observation 1da4ab1c-ed8a-42c5-8134-bac1a9ca831d · outbound

This paper cites Its graph architecture propagates informa- tion through promoter-to-protein routes and learns molec- ular structure through masked interaction reconstruction.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Its graph architecture propagates informa- tion through promoter-to-protein routes and learns molec- ular structure through masked interaction reconstruction

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2fafc1b1-0713-4703-b0ac-87054dac4f7a · outbound

This paper cites DoGMA introduces modality-specific expert specializa- tion into multi-omics fusion.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology DoGMA introduces modality-specific expert specializa- tion into multi-omics fusion

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2db38a0a-0aca-452c-935d-db967b0a3a81 · outbound

This paper cites 2021),IGKC(Liu et al.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology 2021),IGKC(Liu et al

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bf8e0a44-e76b-4eb8-93bc-b4725e90a4cc · outbound

This paper cites 2021), RPS4Y1,COL1A2(Joshi et al.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology 2021), RPS4Y1,COL1A2(Joshi et al

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 65a3d6aa-1091-442b-9d5c-e7944513499a · outbound

This paper cites For each upstream driver node, we perturb the corresponding omics feature and rank downstream RNA or protein targets by the magnitude of their reconstructed response.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology For each upstream driver node, we perturb the corresponding omics feature and rank downstream RNA or protein targets by the magnitude of their reconstructed response

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 773923da-cbdf-4d97-a321-93840ff1d88e · outbound

This paper cites Attention is all you need.Advances in neural information processing systems,.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Attention is all you need.Advances in neural information processing systems,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2776fb22-1012-44e8-a201-b8d00f17eecb · outbound

This paper cites I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts

Reference 49

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Source-reported events for the cited work

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Observation 961afa5f-1d27-4fa9-b539-0bd2d376c2d2 · outbound

This paper cites MOGONETintegratesmulti-omics data using graph convolutional networks allowing patient classification and biomarker identification.Nature commu- nications, 12(1):.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology MOGONETintegratesmulti-omics data using graph convolutional networks allowing patient classification and biomarker identification.Nature commu- nications, 12(1):

Reference 149

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9415b7fb-44a2-4bd1-9375-e1f683ae7902 · outbound

This paper cites Weretainedpatientswithpartiallyobservedmodalitysets rather than restricting the analysis to complete cases.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Weretainedpatientswithpartiallyobservedmodalitysets rather than restricting the analysis to complete cases

Reference 447

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Source-reported events for the cited work

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Observation ae6b708b-061c-4764-9840-96b6a4499d03 · outbound

This paper cites InInternational conference on machine learning, 1180–1189.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology InInternational conference on machine learning, 1180–1189

Reference 2015

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9d342c7f-b48d-409a-995b-d4b3d750c2fa · outbound

This paper cites Invariant Risk Minimization.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Invariant Risk Minimization

Reference 2019

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Source-reported events for the cited work

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Observation 0f3badc9-6a4d-4c3c-9157-f6fdf0df2076 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology BEiT: BERT Pre-Training of Image Transformers

Reference 2021

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no resolver link, observed 2026-08-12T00:25:33.816697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation df55a62b-e594-4add-b538-8360a4e5a28b · outbound

This paper cites Albaradei, S.; Napolitano, F.; Thafar, M.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Albaradei, S.; Napolitano, F.; Thafar, M

Reference 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0d91b2c3-e357-45f4-b817-6fe1356d845e · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2023

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Source-reported events for the cited work

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Observation 248ea1dd-db07-4b55-87f0-837d1ad44f1b · outbound

This paper cites CancerGenomeAtlasResearchNetwork,J.;etal.2013.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology CancerGenomeAtlasResearchNetwork,J.;etal.2013

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bab18ba5-29e2-4b46-9cd4-11c437860404 · outbound

This paper cites an unresolved cited work.

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Unresolved cited work

Reference 2025

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.