rewire.itbenchmarks
Dataset

MassSpecGym · main

Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.

Research readiness

These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.

Release 2026-09-29-06401fd5b220 · Evidence verified: Not verified

Evidence incomplete

Replay metrics

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Verified: Not verified

Evidence incomplete

Investigate discrepancies

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Verified: Not verified

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Run locally

A pinned recipe describes the inputs, environment and resource requirements.

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Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

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Verified: Not verified

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No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Read reviewed discrepancy investigations

Evaluation results

3 evaluations · 18 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: SMILES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0 Top-1 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SMILES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-1 accuracy
Configuration: SELFIES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0 Top-1 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SELFIES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-1 accuracy
Configuration: SELFIES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
21.84 (21.67-22.00) Top-10 MCES
edge-edit distance · lower

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 21.67; upper: 22.00

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SELFIES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-10 MCES
Configuration: SELFIES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0 Top-10 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SELFIES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-10 accuracy
Configuration: SELFIES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
33.28 (33.00-33.57) Top-1 MCES
edge-edit distance · lower

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 33.00; upper: 33.57

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SELFIES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-1 MCES
Configuration: SMILES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
53.80 (52.95-54.61) Top-1 MCES
edge-edit distance · lower

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 52.95; upper: 54.61

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SMILES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-1 MCES
Configuration: Random chemical generation (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
28.59 (28.33-28.84) Top-1 MCES
edge-edit distance · lower

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 28.33; upper: 28.84

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Random chemical generation (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-1 MCES
Configuration: SELFIES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0.15 (0.15 - 0.15) Top-10 Tanimoto
dimensionless · higher

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.15; upper: 0.15

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SELFIES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-10 Tanimoto
Configuration: SELFIES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0.10 (0.10 - 0.10) Top-1 Tanimoto
dimensionless · higher

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.10; upper: 0.10

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SELFIES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-1 Tanimoto
Configuration: SMILES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0 Top-10 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SMILES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-10 accuracy
Configuration: Random chemical generation (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0 Top-10 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Random chemical generation (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-10 accuracy
Configuration: Random chemical generation (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
25.72 (25.49-25.95) Top-10 MCES
edge-edit distance · lower

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 25.49; upper: 25.95

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Random chemical generation (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-10 MCES
Configuration: Random chemical generation (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0.10 (0.10 - 0.10) Top-10 Tanimoto
dimensionless · higher

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.10; upper: 0.10

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Random chemical generation (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-10 Tanimoto
Configuration: Random chemical generation (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0 Top-1 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Random chemical generation (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-1 accuracy
Configuration: SMILES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0.07 (0.07 - 0.08) Top-1 Tanimoto
dimensionless · higher

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.07; upper: 0.08

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SMILES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-1 Tanimoto
Configuration: SMILES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0.17 (0.17 - 0.17) Top-10 Tanimoto
dimensionless · higher

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.17; upper: 0.17

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SMILES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-10 Tanimoto
Configuration: SMILES Transformer (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
21.97 (21.79-22.16) Top-10 MCES
edge-edit distance · lower

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 21.79; upper: 22.16

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

SMILES Transformer (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-10 MCES
Configuration: Random chemical generation (main)Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation)
Dataset: MassSpecGym · main
0.07 (0.07 - 0.07) Top-1 Tanimoto
dimensionless · higher

Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.07; upper: 0.07

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Random chemical generation (main): MassSpecGym · main

Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split

Aggregation: Not reported

MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-1 Tanimoto

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Dataset and evaluation context

A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

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.

6 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
attributes.reported_population
Not reported
Context-only references
MassSpecGym: A benchmark for the discovery and identification of molecules

Original source ↗

Table 2: Top-1 accuracy, main

Version: 2410.23326v1
Retrieved: 2026-09-17T07:56:11.146650+00:00

missing or unspecified

No individual claim review recorded

Audit details

Field: attributes.reported_population

Source artifact SHA-256: 82176d50e8947c8b9baa2a0d91493f5680c0e4c7e25a2266ff7879f48a58c40c

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.source_locator
Table 2: Top-1 accuracy, main
Context-only references
MassSpecGym: A benchmark for the discovery and identification of molecules

Original source ↗

Table 2: Top-1 accuracy, main

Version: 2410.23326v1
Retrieved: 2026-09-17T07:56:11.146650+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: 82176d50e8947c8b9baa2a0d91493f5680c0e4c7e25a2266ff7879f48a58c40c

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.split
MCES single-linkage molecular clustering at threshold 10; fixed held-out test split
Context-only references
MassSpecGym: A benchmark for the discovery and identification of molecules

Original source ↗

Table 2: Top-1 accuracy, main

Version: 2410.23326v1
Retrieved: 2026-09-17T07:56:11.146650+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: 82176d50e8947c8b9baa2a0d91493f5680c0e4c7e25a2266ff7879f48a58c40c

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.subset
main
Context-only references
MassSpecGym: A benchmark for the discovery and identification of molecules

Original source ↗

Table 2: Top-1 accuracy, main

Version: 2410.23326v1
Retrieved: 2026-09-17T07:56:11.146650+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.subset

Source artifact SHA-256: 82176d50e8947c8b9baa2a0d91493f5680c0e4c7e25a2266ff7879f48a58c40c

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

description
Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
Context-only references
MassSpecGym: A benchmark for the discovery and identification of molecules

Original source ↗

Table 2: Top-1 accuracy, main

Version: 2410.23326v1
Retrieved: 2026-09-17T07:56:11.146650+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: 82176d50e8947c8b9baa2a0d91493f5680c0e4c7e25a2266ff7879f48a58c40c

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

name
MassSpecGym · main
Context-only references
MassSpecGym: A benchmark for the discovery and identification of molecules

Original source ↗

Table 2: Top-1 accuracy, main

Version: 2410.23326v1
Retrieved: 2026-09-17T07:56:11.146650+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: 82176d50e8947c8b9baa2a0d91493f5680c0e4c7e25a2266ff7879f48a58c40c

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: needs review

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

Stable ID: paper-dataset-c25f9f3bb2961b23d5

areas
metabolomics
split
MCES single-linkage molecular clustering at threshold 10; fixed held-out test split
subset
main
reported population
Not reported
source locator
Table 2: Top-1 accuracy, main
missing metadata
manifest: unextracted; scored count: unreported
entity classification
review date: 2026-09-17; rationale: This record identifies a biological data collection or source-labelled evaluation cohort. Keep its dataset identity; split, assay, taxonomic level, candidate restrictions and comparison context remain attributes rather than automatically becoming new entity kinds.; source ids: part2-massspecgym-arxiv-v1; source locator: Table 2: Top-1 accuracy, main; ambiguities: The formula/main label describes task input or candidate constraints in some MassSpecGym tables, not necessarily a different biological population. Preserve the paper-specific data identity and do not infer subset equivalence.
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