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Pipeline

CUPID Data-aug-Avg

CUPID predicts pairwise interactions between non-coding RNAs from their sequences.

SourcesComputational understanding of non-coding RNA pairwise interactions · Abstract (paragraph 1); Methods/Negative examples generation (paragraph 1)

1 evaluation · 1 metric row

How it worksEvaluated procedure (conceptual)
Evaluated procedure (conceptual)1. Pairs of non-coding RNA sequences. Then: 2. CUPID Data-aug-Avg. Then: 3. Predicted ncRNA–ncRNA interaction labels or scoresEvaluated procedure (conceptual)1. Pairs of non-coding RNA sequences. Then: 2. CUPID Data-aug-Avg. Then: 3. Predicted ncRNA–ncRNA interaction labels or scoresEvaluated procedure (conceptual)1. Pairs of non-coding RNA sequences. Then: 2. CUPID Data-aug-Avg. Then: 3. Predicted ncRNA–ncRNA interaction labels or scores

Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings.

SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)

At a glance

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

Release 2026-09-17-d277315f7d76 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
CUPID Data-aug-Avg: non-coding RNA pairwise interaction prediction

Data augmentation with average pooling for molecule-level ncRNA embeddings

Author-reported evaluation · Evaluation metadata: needs review

0.919 AUROC

Unit: fraction · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedComputational understanding of non-coding RNA pairwise interactions · Table 1, CUPID > Data-aug-Avg row, AUROC column

Source checking is not independent reproduction.

How it works

How the evaluated method works

GenerRNA sequence embeddings feed a feed-forward interaction classifier. The Data-aug-Avg configuration uses the paper’s augmented training pairs and averaging variant.

SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)
What was evaluated

The linked evaluation record identifies CUPID Data-aug-Avg: non-coding RNA pairwise interaction prediction. Its dataset, split, adaptation and evidence origin remain attached to the reported results.

SourcesComputational understanding of non-coding RNA pairwise interactions · The named evaluation’s methods and comparison table; exact preserved evaluation IDs: evaluation-lit-b4-007

Strengths and limitations

Profile review details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Stable record: reported-model-2894d253c5e8a8

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeStudy-specific predictive method; this record is the paper-specific evaluated configuration.
SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)
Architecture / procedureGenerRNA sequence embeddings feed a feed-forward interaction classifier. The Data-aug-Avg configuration uses the paper’s augmented training pairs and averaging variant.
SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)
Biological inputsPairs of non-coding RNA sequences
SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Negative examples generation (paragraph 4); Methods/Dataset (paragraph 1)
OutputsPredicted ncRNA–ncRNA interaction labels or scores
SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Dataset (paragraph 8); Methods/Dataset (paragraph 1)
ParametersAn aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. · Not reported in inspected sources
Sources (2)Computational understanding of non-coding RNA pairwise interactions; AnacletoLAB/ncRNA-CUPID README.md · Methods/Dataset; Methods/Data augmentation; Methods/Negative examples generation; Methods/Model architecture/The overall CUPID architecture; Methods/Model architecture/Pooling techniques; Methods/Model architecture/The classification unit; Methods/Model architecture/Mini-batch balancing; Methods/Experimental evaluation/Data preparation and splitting; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision
Known versions / configurationCUPID Data-aug-Avg is the comparison-table label; that label does not specify an immutable weight revision. · Not reported in inspected sources
SourcesComputational understanding of non-coding RNA pairwise interactions · Model identification in the comparison table and corresponding Methods; immutable checkpoint revision is not supplied by the table label.
Training data / fittingThe study’s filtered ncRNA-interaction dataset; augmentation produces four training instances per original pair.
SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Dataset (paragraph 1); Methods/Dataset (paragraph 8)
Context limitsInput filtering is tied to GenerRNA token capacity; the paper describes approximately 4,096 nucleotides, with BPE compression affecting the correspondence.
SourcesComputational understanding of non-coding RNA pairwise interactions · Methods/Dataset (paragraph 4); Methods/Model architecture/The overall CUPID architecture (paragraph 2)
AccessOfficial study implementation and usage documentation: https://github.com/AnacletoLAB/ncRNA-CUPID/blob/f663c10d2f6c33f8513614badbbc673e654a64d8/README.md. This pinned documentation revision is not automatically the evaluated weight revision.
SourcesAnacletoLAB/ncRNA-CUPID README.md · README.md; installation, model download and usage instructions
Code licenceApache 2.0 (study repository code at the cited revision; this does not establish every dependency or historical checkpoint licence).
SourcesAnacletoLAB/ncRNA-CUPID LICENSE.txt · LICENSE.txt; complete licence text
Weights licenceThe inspected model-access documentation does not explicitly identify terms for this exact evaluated checkpoint or fitted head; repository code terms are shown separately. · Not reported in inspected sources
SourcesAnacletoLAB/ncRNA-CUPID README.md · README.md; checkpoint/access documentation and licence scope

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

20 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statementOriginal source and locationReview and provenance
Diagram caption

Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings.

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Diagram steps

["Pairs of non-coding RNA sequences","CUPID Data-aug-Avg","Predicted ncRNA–ncRNA interaction labels or scores"]

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Diagram title

Evaluated procedure (conceptual)

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.diagram.title

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Model type

Study-specific predictive method; this record is the paper-specific evaluated configuration.

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Architecture / procedure

GenerRNA sequence embeddings feed a feed-forward interaction classifier. The Data-aug-Avg configuration uses the paper’s augmented training pairs and averaging variant.

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1)

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Weights licence

The inspected model-access documentation does not explicitly identify terms for this exact evaluated checkpoint or fitted head; repository code terms are shown separately.

Individual claims
AnacletoLAB/ncRNA-CUPID README.md

Original source ↗

README.md; checkpoint/access documentation and licence scope

Version: f663c10d2f6c33f8513614badbbc673e654a64d8
Retrieved: 2026-09-16T19:54:13.686121+00:00

unreported

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.10.value

Source artifact SHA-256: 17e3dbece27b0cd7b6031ecc817f941ad351c95ee0416e0bd8e4020ecaed7f5b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Biological inputs

Pairs of non-coding RNA sequences

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Negative examples generation (paragraph 4); Methods/Dataset (paragraph 1)

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.2.value

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Outputs

Predicted ncRNA–ncRNA interaction labels or scores

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Dataset (paragraph 8); Methods/Dataset (paragraph 1)

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.3.value

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Parameters

An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources.

Individual claims
Computational understanding of non-coding RNA pairwise interactions

Original source ↗

Methods/Dataset; Methods/Data augmentation; Methods/Negative examples generation; Methods/Model architecture/The overall CUPID architecture; Methods/Model architecture/Pooling techniques; Methods/Model architecture/The classification unit; Methods/Model architecture/Mini-batch balancing; Methods/Experimental evaluation/Data preparation and splitting; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: PMC archival version PMC12957212.1
Retrieved: 2026-09-16T10:41:06Z

unreported

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: 0e6719410b390ee9c4858bb9321042851100fb74df3aa109bf2af2b8aaff7ac1

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Parameters

An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources.

Individual claims
AnacletoLAB/ncRNA-CUPID README.md

Original source ↗

Methods/Dataset; Methods/Data augmentation; Methods/Negative examples generation; Methods/Model architecture/The overall CUPID architecture; Methods/Model architecture/Pooling techniques; Methods/Model architecture/The classification unit; Methods/Model architecture/Mini-batch balancing; Methods/Experimental evaluation/Data preparation and splitting; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: f663c10d2f6c33f8513614badbbc673e654a64d8
Retrieved: 2026-09-16T19:54:13.686121+00:00

unreported

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: 17e3dbece27b0cd7b6031ecc817f941ad351c95ee0416e0bd8e4020ecaed7f5b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

3 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: reported-model-2894d253c5e8a8

areas
rna-transcriptomes
entity level
method
version
Not reported
reported name
CUPID Data-aug-Avg
historical missing metadata
version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract
metadata review scope
historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
legacy kinds
model
entity classification
review date: 2026-09-17; rationale: This record identifies a composed analysis workflow with separately identifiable upstream models, representations or tools and a downstream prediction/scoring procedure. Results belong to that complete composition rather than to an upstream model alone.; source ids: cupid-rna-interactions-2026; source locator: Methods/Model architecture/The classification unit (paragraph 1); Methods/Model architecture/The overall CUPID architecture (paragraph 1) | Abstract (paragraph 1); Methods/Negative examples generation (paragraph 1); ambiguities: This is the paper-specific pipeline identity; unspecified component checkpoints or implementation versions are not inferred from its name.
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