o1-mini: description
Description of o1-mini
Model in OpenAI's o1 series, trained with large-scale reinforcement learning to reason using a chain of thought before answering.
Replace a placeholder description with a sourced functional description (issue #88). Historical releases retain the original value.
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.
14 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field description Context-only references | Abstract: OpenAI o1 System Card (arXiv:2412.16720) qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2412.16720 (title and abstract) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of an arXiv API Atom response for this identifier. The response is not guaranteed byte-stable; the title and summary fields are the evidence. |
| Claimed field description Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| Previous value Language model identity as reported in this source. Unspecified versions are not assumed equal to other papers. Context-only references | Abstract: OpenAI o1 System Card (arXiv:2412.16720) qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2412.16720 (title and abstract) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of an arXiv API Atom response for this identifier. The response is not guaranteed byte-stable; the title and summary fields are the evidence. |
| Previous value Language model identity as reported in this source. Unspecified versions are not assumed equal to other papers. Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| Source location qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Context-only references | Abstract: OpenAI o1 System Card (arXiv:2412.16720) qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2412.16720 (title and abstract) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of an arXiv API Atom response for this identifier. The response is not guaranteed byte-stable; the title and summary fields are the evidence. |
| Source location qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| Claimed value Model in OpenAI's o1 series, trained with large-scale reinforcement learning to reason using a chain of thought before answering. Context-only references | Abstract: OpenAI o1 System Card (arXiv:2412.16720) qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2412.16720 (title and abstract) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of an arXiv API Atom response for this identifier. The response is not guaranteed byte-stable; the title and summary fields are the evidence. |
| Claimed value Model in OpenAI's o1 series, trained with large-scale reinforcement learning to reason using a chain of thought before answering. Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| Description Replace a placeholder description with a sourced functional description (issue #88). Historical releases retain the original value. Context-only references | Abstract: OpenAI o1 System Card (arXiv:2412.16720) qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2412.16720 (title and abstract) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of an arXiv API Atom response for this identifier. The response is not guaranteed byte-stable; the title and summary fields are the evidence. |
| Description Replace a placeholder description with a sourced functional description (issue #88). Historical releases retain the original value. Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought') Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
2 source records and release history
- BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments · Original source · arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025
- Abstract: OpenAI o1 System Card (arXiv:2412.16720) · Original source · arXiv:2412.16720 (title and abstract)
Technical metadata and extraction receipts
Stable ID: metadata-correction-21115f6c5c5032e76f63
- areas
- cells-tissues
- contexts
- research
- field
- description
- previous value
- Language model identity as reported in this source. Unspecified versions are not assumed equal to other papers.
- value
- Model in OpenAI's o1 series, trained with large-scale reinforcement learning to reason using a chain of thought before answering.
- source locator
- qa-descriptions-20261011-b-source-o1: abstract ('The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought')
- review
- method: automated-source-review; ai-assisted-source-review; reviewer: claude; reviewer note: Extractor: Claude integrator agent for issue #88. Reviewer: a separate Claude review agent, independent of the extractor; no human review claimed.; date: 2026-10-11; method note: Compared the store diff with origin/main, read each new description against its cited source passage and checked the licence of each new source record.; note: Approved. Checked the new sources' licences against the arXiv abstract pages and Europe PMC, the 7 scFoundation pipeline descriptions against their abstracts, the language-model descriptions against their model cards and reports, and the TAPE architecture figures against the TAPE paper; all correct. The catalogue entries reuse reviewed profile summaries.; receipt: data/omics/qa-descriptions-20261011-b/review.json
Related records
- subject: o1-mini