Indicators / series
cl_ladder.harvey_tenet.rung_research.pt
Source: Harvey research and insights posts (Harvey) · Harvey; short quotation · CSV
Harvey
| id | value | grade | as of date | published date | tier | audited vs reported | extraction method | review status | retrieved at | http status | content hash | supersedes id | url | flags |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| c16acbc4fb932e98 | 4.00 rung | grade D, evidence tier 7 | 2026-08-20 | 2026-08-20 | 7 | company_stated | manual | approved | 2026-09-10T06:54:22.403929Z | 200 | aa4deb5a75a8 | — | source page | ⚑ disputed: Placed at L4 because Appendix E lists Tenet there, but the post describes one async-RL post-training run on domain (lega |
Raw snippets and dispute text
- c16acbc4fb932e98 Starting from a Kimi K3 base, we worked with Fireworks to post-train our model via asynchronous reinforcement learning (RL) in realistic legal work settings. — Placed at L4 because Appendix E lists Tenet there, but the post describes one async-RL post-training run on domain (legal) data for a research preview, not organisation-specific knowledge on a refresh cadence; read literally it is an L0 static snapshot with domain specialisation.