DeepSets: facets.method_types
Facets: method types of DeepSets
["supervised_machine_learning"]
Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1).
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.
21 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field facets.method_types Context-only references | msalign: Primary paper PDF MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2605.19752v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Claimed field facets.method_types Context-only references | MassSpecGym: A benchmark for the discovery and identification of molecules MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2410.23326v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Claimed field facets.method_types Context-only references | MSAlign arXiv v2 Table 3 MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2605.19752v2, 25 September 2026 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Previous value absent Context-only references | msalign: Primary paper PDF MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2605.19752v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Previous value absent Context-only references | MassSpecGym: A benchmark for the discovery and identification of molecules MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2410.23326v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Previous value absent Context-only references | MSAlign arXiv v2 Table 3 MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2605.19752v2, 25 September 2026 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Context-only references | msalign: Primary paper PDF MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2605.19752v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Source location MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Context-only references | MassSpecGym: A benchmark for the discovery and identification of molecules MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2410.23326v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Source location MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Context-only references | MSAlign arXiv v2 Table 3 MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2605.19752v2, 25 September 2026 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Claimed value ["supervised_machine_learning"] Context-only references | msalign: Primary paper PDF MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2605.19752v1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
3 source records and release history
- msalign: Primary paper PDF · Original source · 2605.19752v1
- MassSpecGym: A benchmark for the discovery and identification of molecules · Original source · 2410.23326v1
- MSAlign arXiv v2 Table 3 · Original source · 2605.19752v2, 25 September 2026
Technical metadata and extraction receipts
Stable ID: metadata-correction-tags-20261012-8a6be7974e629df3fa3e
- field
- facets.method_types
- previous value
- absent
- value
- ["supervised_machine_learning"]
- source locator
- MassSpecGym Section 4.1: Fingerprint FFN "employs a feedforward neural network to predict the Morgan fingerprint", and DeepSets; MSAlign arXiv 2605.19752 Table 1 and "Baselines" (v1 and v2): JESTR "pretrains with batch InfoNCE", Emb-Cos "uses candidates InfoNCE to learn a shared space", SAIL is trained with the batch loss
- review
- method: source-hash-verification; automated-source-review; reviewer: claude; reviewer note: Separate Claude review agent, independent of the agent that prepared the corrections; no human review claimed; date: 2026-10-12; method note: Compared previous_value with origin/main and the store; re-retrieved the source (matches the source record) and read the passage in source_locator; checked the new value against the method-type definitions in data/vocab/method-type.ttl.; artifact sha256: 7395a55141ee7916741b7d9e6d4f42a1d3a03217a36ce6824ac3ff48afd4f26f; retrieval url: https://arxiv.org/pdf/2605.19752v1; note: Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1). Evidence from docs/reviews/use-cases/baselines-2026-10-12.md. Independent review 2026-10-12: approved. MSAlign v1 Section 5.1 "Baselines" and Table 1: FFN and DeepSets are fingerprint predictors from MassSpecGym; JESTR, Emb-Cos and SAIL are trained with InfoNCE losses; MSAlign aligns two frozen foundation models. See docs/reviews/2026-10-12-method-type-corrections.md.
Related records
- subject: DeepSets