Choose an institution to see its records and dossier, or choose a topic.
Through year 2027 · all records, including scheduled dates 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1994 1993 1992 1991 1989 1986 1985 1984 1983 1979 1966 1965 1961 1960 1955 1952 1950 1872 1863 Show Organisations and infrastructure All types Organisation Person Document Concept Infrastructure Public body Reset filters
100 people, organisations and other records · 129 relationships · 34 claims about a valueEverything recorded up to the chosen year, whether or not still in effect · Undated records included
Claim and evidence Close ×
Moonshot AI’s Kimi Team posted the Kimi k1.5 technical report to arXiv on 22 January 2025 (version 1). Copy claim link
Copy claim reference
Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2025-01-22 · publication Scope and limits The arXiv record credits the “Kimi Team”; attribution of the team to Moonshot AI rests on the report’s repository in the MoonshotAI GitHub organisation, whose README directs testers to the Kimi OpenPlatform at api.moonshot.ai. Performance claims in the report are out of scope.
The evidence 02 primary source Supports the claim
Kimi k1.5: Scaling Reinforcement Learning with LLMs (arXiv abstract page, v1) ↗ arXiv · 2025-01-22
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “Submitted on 22 Jan 2025 (this version), latest version 3 Jun 2025 (v4)” Location in source arXiv abstract page header
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-27
Source details and check notes Authors Kimi Team Version Dated document, retrieved on 2026-10-27 (SHA-256 ee419abf13e5efac47eef0399568ca7861777ade4fdb30778f0b9cfcb0029426) directly from the publisher. Version: 2501.12599v1. Abstract page of version 1 (submitted 22 January 2025); the page notes a later v4 of 3 June 2025, not inspected. Canonical address Open the canonical source ↗ Accessed 2026-10-27 Language English (en) Attribution Kimi Team, “Kimi k1.5: Scaling Reinforcement Learning with LLMs (arXiv abstract page, v1)”, 2025-01-22. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, Chinese frontier-AI institutions, second collection (research/china-labs-2). The quotation (13 words) matched the retrieved text on 2026-10-27 and again in a fresh retrieval the same day. Read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, apostrophes, dashes and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (2026-10-27, item K030) re-read the record’s sources and agreed with the record. No human editorial review. primary source Context only
Kimi-k1.5 repository README ↗ MoonshotAI (GitHub) · 2025-01-22
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “@article{MoonshotAI, author = {Kimi Team}, title = {Kimi k1.5: Scaling Reinforcement Learning with LLMs}” Location in source README, citation block
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-27
Source details and check notes Authors Kimi Team Version Dated page, retrieved on 2026-10-27 (SHA-256 95f1751aebf2ed76bade008bfe016afaf374f34d6a2e930412c3dbf58eb767f5) directly from the publisher. Version: 617e7c2d80970eb7c52c6cd694b353e6a98884dd. README at the commit of 22 January 2025 ("Update README.md and Report"); the repository was initialised on 20 January 2025; later edits not inspected. Canonical address Open the canonical source ↗ Accessed 2026-10-27 Language English (en) Attribution Kimi Team, “Kimi-k1.5 repository README”, 2025-01-22. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, Chinese frontier-AI institutions, second collection (research/china-labs-2). The quotation (12 words) matched the retrieved text on 2026-10-27 and again in a fresh retrieval the same day. Read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, apostrophes, dashes and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (2026-10-27, item K030) re-read the record’s sources and agreed with the record. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. Publication of a specific document or version. Publication of a policy is not evidence of implementation.
Date. Submission date of the cited arXiv version; not the model’s release date and not the date of later versions.
Record ID c2-moonshot-k15-report