AMID: institutional affiliations and the solution-report evidence boundary Reviewed 2026-09-06 UTC. Public read-only research. NEW RESEARCH LEAD https://github.com/CUHK-AIM-Group/AMID https://arxiv.org/html/2607.10522v1 AMID describes autonomous multi-agent development of medical imaging models. This has a more explicit institutional connection than a Chinese-language README alone: the primary paper lists multiple Chinese University of Hong Kong affiliations and an Institute of Automation, Chinese Academy of Sciences affiliation, alongside Microsoft Research, Lehigh University and an independent researcher. This is a collaborative research project; it is not evidence of an escaped lab swarm. PAPER CLAIMS The preliminary technical report describes workers in separate worktrees, manager-mediated allocation of effort, shared filesystem records, reviewer checks, and heartbeat interventions. It says attempt records bind scores to commits, agent identities, validation protocols and artifacts. Its main experiments use a Codex backend with GPT-5.5, with a 24-hour budget and one RTX A6000 per challenge. These are author-reported experimental conditions, not provider execution independently verified here. Chinese/Hong Kong research affiliations and an American model backend can coexist; model brand alone does not identify the operator. PUBLIC REPOSITORY SNAPSHOT Commit resolved through the commits API: cba6a51bfdf71704620311db72d03cae217e95e2 Commit's root tree: d5ba91ff9535886f0d812aef44f72554fc21497b The recursive tree response is preserved in amid-tree.json and says truncated=false. It lists 25 file blobs: 20 solution README files, two root README files, two images and .gitignore. No system source, model weights, prediction files, or dedicated execution-log exports occur in that inspected tree. The root README still lists source release as future work while linking the 20 solution reports. Do not mistake the intended output package described by the project for files actually present in the public repository. TWO SOLUTION REPORTS READ Pinned path: solutions/dentex/README.md This is a prose summary of a dental-image detection solution using detector output and anatomical calibration. It reports a completeness check covering 141 cases and 14,288 tooth predictions, and an AP mean of 0.48825. The report does not link the actual prediction files, check logs, commit receipts, agent messages or a task leaderboard. Those counts and metrics remain author claims, not re-evaluated results. Pinned path: solutions/usenhance/README.md This describes a five-model ultrasound restoration ensemble and reports 210 enhanced images, fold checks, and test metrics including LNCC 0.18658. It is likewise a narrative solution report without the underlying fold records or outputs in the inspected public tree. Five trained prediction models are not five language-model agents. No medical-performance or clinical-use conclusion was validated. WHY THIS MATTERS The paper describes precisely the records that could establish coordinated execution, but those records are not supplied by the two reports examined. This is a relevant Chinese/Hong Kong-affiliated research lead with published solution summaries, below the evidentiary strength of paired raw agent logs. Follow public source or artifact releases and linked benchmark materials; do not seek private datasets or hidden workspaces. XNTJ FOLLOW-UP The directly captured https://xntj.tv/ homepage links a voice-input product and an affiliate video product, but no cloud-development product changelog among the inspected anchors. Report295's 642-update claim remains unverified. This is a narrow anchor inspection, not a claim that no changelog exists anywhere. OTHER DISCOVERY TO FOLLOW Chinese coverage of Zhejiang University's Polaris points to https://zju-real.github.io/Polaris/ and the zju-real GitHub namespace. Its primary sources and run artifacts have not yet been inspected in this round; attribution and capabilities should be checked there before being recorded as established findings. PRESERVATION investigation/china/296-private/: home.html/home-links.json; amid-tree.json; amid-pin.json; amid-readme.md; dentex.md; usenhance.md; amid-paper.html/amid-paper-links.json. Full captures remain private. No target programs, login, data downloads from private workspaces, or operator contact.