Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:15:23.337821Z
Paper Citation Record · LEDGER
A multi-modal neural network for learning cis and trans regulation of stress response in yeast
As of 16 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:1908.09426.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
10 of 10 outbound references displayed
- verified exact0
- verified fuzzy10
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c5b26b88-5af2-4fec-816c-4dae7f95ccd0 · outbound
This paper cites Regulatory element detection using correla- tion with expression.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Regulatory element detection using correla- tion with expression
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.470318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4edbfb53-0182-49c1-8c61-aa0c61e79d4e · outbound
This paper cites Regression trees for regulatory element identification.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Regression trees for regulatory element identification
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.460253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 11fcb3f0-7699-401a-a1d0-bbc4ace400c3 · outbound
This paper cites Towards reconstruction of gene networks from expression data by supervised learning.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Towards reconstruction of gene networks from expression data by supervised learning
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.449291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43318b98-c5bd-4271-953c-cad71abcd542 · outbound
This paper cites Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.438690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 446d2834-7207-4b09-bb3e-928381321480 · outbound
This paper cites Predicting genetic regulatory response using classification.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Predicting genetic regulatory response using classification
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.426786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cef02d96-8eb0-44da-a8c5-272911fa3e7b · outbound
This paper cites A bi-dimensional regression tree approach to the modeling of gene expression regulation.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast A bi-dimensional regression tree approach to the modeling of gene expression regulation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.415488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c8b6f04a-854e-4fa5-b2d8-186254b61845 · outbound
This paper cites Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.403859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cf089a45-b7b6-4c93-bca4-0623103ebf8e · outbound
This paper cites Genomic expression programs in the response of yeast cells to environmental changes.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Genomic expression programs in the response of yeast cells to environmental changes
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.392247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 71e249f3-d36d-4835-8299-46cf4b1d88eb · outbound
This paper cites Reverse-complement parameter sharing improves deep learning models for genomics.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Reverse-complement parameter sharing improves deep learning models for genomics
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.380906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5552a167-3a25-4dd5-a1a1-4cd197b58ce5 · outbound
This paper cites Fine-tuning of the Msn2/4- mediated yeast stress responses as revealed by systematic deletion of Msn2/4 partners.
A multi-modal neural network for learning cis and trans regulation of stress response in yeast Fine-tuning of the Msn2/4- mediated yeast stress responses as revealed by systematic deletion of Msn2/4 partners
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:15:23.369252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.