Dataset

RVDB C-RVDB v31.0 long-sequence dataset, 16 classes

Viral sequences above 50,000 bp (test sequences 84,587 to 409,110 bp) from 16 manually reviewed classes, with the split inverted to about 20% indexed and 80% queried.

Evaluation results

5 evaluations · 30 results. Different protocols are not a single leaderboard.

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.977 Accuracy (16-class long-sequence RVDB dataset) fraction · higher Uncertainty: 95% CI 0.950 to 0.989. Wilson binomial interval quoted in Section 3.8; method stated in Section 2.9 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BLAST (blastn) on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Accuracy'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.977 Balanced accuracy (16-class long-sequence RVDB dataset) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BLAST (blastn) on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Bal. Acc.'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.977 Macro F1 (16-class long-sequence RVDB dataset) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BLAST (blastn) on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'F1'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.975 MCC (16-class long-sequence RVDB dataset) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BLAST (blastn) on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'MCC'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.978 Precision (16-class long-sequence RVDB dataset, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BLAST (blastn) on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Precision'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.977 Recall (16-class long-sequence RVDB dataset, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BLAST (blastn) on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Recall'
Configuration: DNABERT-2, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.786 Accuracy (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2ᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'DNABERT-2ᵃ', column 'Accuracy'
Configuration: DNABERT-2, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.817 Balanced accuracy (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2ᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'DNABERT-2ᵃ', column 'Bal. Acc.'
Configuration: DNABERT-2, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.813 Macro F1 (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2ᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'DNABERT-2ᵃ', column 'F1'
Configuration: DNABERT-2, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.771 MCC (16-class long-sequence RVDB dataset, chunk-scored) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2ᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'DNABERT-2ᵃ', column 'MCC'
Configuration: DNABERT-2, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.814 Precision (16-class long-sequence RVDB dataset, chunk-scored, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2ᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'DNABERT-2ᵃ', column 'Precision'
Configuration: DNABERT-2, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.817 Recall (16-class long-sequence RVDB dataset, chunk-scored, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT-2ᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'DNABERT-2ᵃ', column 'Recall'
Configuration: NTv2-250M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.831 Accuracy (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-250Mᵃ', column 'Accuracy'
Configuration: NTv2-250M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.844 Balanced accuracy (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-250Mᵃ', column 'Bal. Acc.'
Configuration: NTv2-250M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.842 Macro F1 (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-250Mᵃ', column 'F1'
Configuration: NTv2-250M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.818 MCC (16-class long-sequence RVDB dataset, chunk-scored) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-250Mᵃ', column 'MCC'
Configuration: NTv2-250M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.844 Precision (16-class long-sequence RVDB dataset, chunk-scored, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-250Mᵃ', column 'Precision'
Configuration: NTv2-250M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.844 Recall (16-class long-sequence RVDB dataset, chunk-scored, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-250Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-250Mᵃ', column 'Recall'
Configuration: NTv2-50M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.853 Accuracy (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-50Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-50Mᵃ', column 'Accuracy'
Configuration: NTv2-50M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.87 Balanced accuracy (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-50Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-50Mᵃ', column 'Bal. Acc.'
Configuration: NTv2-50M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.869 Macro F1 (16-class long-sequence RVDB dataset, chunk-scored) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-50Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-50Mᵃ', column 'F1'
Configuration: NTv2-50M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.842 MCC (16-class long-sequence RVDB dataset, chunk-scored) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-50Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-50Mᵃ', column 'MCC'
Configuration: NTv2-50M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.871 Precision (16-class long-sequence RVDB dataset, chunk-scored, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-50Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-50Mᵃ', column 'Precision'
Configuration: NTv2-50M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.87 Recall (16-class long-sequence RVDB dataset, chunk-scored, macro-averaged over classes) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv2-50Mᵃ on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv2-50Mᵃ', column 'Recall'
Configuration: NTv3-650M, frozen embeddings, pooling not stated, 1-NN, long-sequence run (Bůžková et al. 2026)	Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10) Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes	0.953 Accuracy (16-class long-sequence RVDB dataset) fraction · higher Uncertainty: 95% CI 0.920 to 0.973. Wilson binomial interval quoted in Section 3.8; method stated in Section 2.9 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NTv3-650M on the RVDB long-sequence dataset, 16 classes gfm2-20261011-buzkova2026-protocol-long Aggregation: Not reported Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'NTv3-650M', column 'Accuracy'

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6 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statement	Original source and location	Review and provenance
Population About 320 sequences; 256 test queries Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.population` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split About 4 indexed and about 16 queried sequences per class; 256 test sequences Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.split` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Version C-RVDB v31.0, 9 January 2026 Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.version` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Description Viral sequences above 50,000 bp (test sequences 84,587 to 409,110 bp) from 16 manually reviewed classes, with the split inverted to about 20% indexed and 80% queried. Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Name RVDB C-RVDB v31.0 long-sequence dataset, 16 classes Context-only references	Analyzing Genomic Foundation Models for Viral Sequence Identification Original source ↗ Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend Version: bioRxiv v1, posted 2026-09-28 Retrieved: 2026-10-11T00:48:35Z	not individually reviewed No individual claim review recorded Audit details Field: `name` Source artifact SHA-256: `9a589a2088f8466502b1035228db3e594065e984e5755c25d907471225f75c19` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Analyzing Genomic Foundation Models for Viral Sequence Identification · Original source · bioRxiv v1, posted 2026-09-28

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Stable ID: gfm2-20261011-buzkova2026-data-rvdb-long

areas: dna-genomes
contexts: research
version: C-RVDB v31.0, 9 January 2026
split: About 4 indexed and about 16 queried sequences per class; 256 test sequences
population: About 320 sequences; 256 test queries
source locator: Section 2.2; Table 1 column 'Long-sequence dataset'; Table 10 legend
missing metadata: total: reason: unreported; note: Table 1 prints 'about 320 (about 64 indexed, 256 queried)'

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