lint-report-2026-06-06 - yuuk1's Digital Garden

# Lint Report: 2026-06-06 filesystem transport で `wiki/` を全件走査した。DragonScale address と semantic tiling は helper 未導入のため skip した。 ## Summary - Pages scanned: 1140 (content 1126 / sources 178 / entities 851 / concepts 99 / questions 1 / meta 6) - Issues found: 1765 - Auto-fixed: 236 (dead-link references 218 / frontmatter gaps 7 / stale index entries 9 / empty sections 1 / source filename convention 1) - Needs review: 1765 - `.raw/` links ignored: 210 (missing local originals ignored: 24) ## BLOCKER なし。 ## HIGH dead link は見つからなかった。 ## MEDIUM ### Orphan Pages (18) - [[Abhinandan Patni]]: no inbound links. - [[Alexander Zhipa]]: no inbound links. - [[Anthony Ko]]: no inbound links. - [[Ashvin Nihalani]]: no inbound links. - [[Binxuan Huang]]: no inbound links. - [[Binzhang Fu]]: no inbound links. - [[Cong Cheng]]: no inbound links. - [[Congzhu Lin]]: no inbound links. - [[Jack Wittmayer]]: no inbound links. - [[Josh Wu]]: no inbound links. - [[Mi Sun]]: no inbound links. - [[Parthasarathy Govindarajen]]: no inbound links. - [[Rejith George Joseph]]: no inbound links. - [[Rory Na]]: no inbound links. - [[Vijay Rajakumar]]: no inbound links. - [[Yinghong Liu]]: no inbound links. - [[Yuan Xie]]: no inbound links. - [[Zoe Zeng]]: no inbound links. ### Frontmatter Gaps (0) - なし。 ### Empty Sections (0) - なし。 ### Stale Index Entries (0) - なし。 ### Missing Pages - dead link の複数参照はなし。 ## LOW ### Cross-Reference Gaps (1708 plain mentions) - `[[AIOps]]`: plain mention in 64 pages, examples: [[GPU観測性]], [[LLM分散学習]], [[LLM学習モニタリング]]. - `[[NVIDIA]]`: plain mention in 63 pages, examples: [[GPU観測性]], [[LLM分散学習]], [[LLM推論]]. - `[[テレメトリ]]`: plain mention in 54 pages, examples: [[AIOps]], [[Infrastructure as Code]], [[SRE Benchmark]]. - `[[Google]]`: plain mention in 45 pages, examples: [[インシデント管理]], [[クラウド管理モダリティ]], [[サーバーレスアーキテクチャ]]. - `[[Amazon]]`: plain mention in 43 pages, examples: [[AIOps]], [[GPUクラスタ運用]], [[GPUレジリエンス]]. - `[[チェックポイント]]`: plain mention in 37 pages, examples: [[GPUクラスタ運用]], [[Heisenbug]], [[LLM学習モニタリング]]. - `[[Kubernetes]]`: plain mention in 29 pages, examples: [[AIOps]], [[Transactional No-Regression]], [[障害注入]]. - `[[Microsoft]]`: plain mention in 29 pages, examples: [[GPUクラスタ運用]], [[Infrastructure as Code]], [[根本原因分析]]. - `[[Alibaba Cloud]]`: plain mention in 25 pages, examples: [[RDMAネットワーク監視]], [[Alibaba Group]], [[Dennis Cai]]. - `[[ストラグラー]]`: plain mention in 23 pages, examples: [[強化ファインチューニング]], [[根本原因分析]], [[Aegis]]. - `[[Prometheus]]`: plain mention in 22 pages, examples: [[Scaling Telemetry Workloads]], [[テレメトリ]], [[異常検知]]. - `[[Jaeger]]`: plain mention in 22 pages, examples: [[トレースサンプリング]], [[分散トレーシング]], [[暗黙のコンテキスト伝搬]]. - `[[マイクロサービスアーキテクチャ]]`: plain mention in 19 pages, examples: [[インターネットスケールサービス設計]], [[サービスレベル目標]], [[専用データベースシステム]]. - `[[Guard]]`: plain mention in 17 pages, examples: [[Transactional No-Regression]], [[インシデント管理]], [[ストラグラー]]. - `[[Flare]]`: plain mention in 16 pages, examples: [[Alibaba Group]], [[Ant Group]], [[Bingsheng He]]. - `[[OpenTelemetry]]`: plain mention in 15 pages, examples: [[エージェント運用安全性]], [[Hindsight]], [[ITBench]]. - `[[根本原因分析]]`: plain mention in 15 pages, examples: [[障害予測]], [[Nankai University]], [[Shenglin Zhang]]. - `[[ProfInfer]]`: plain mention in 14 pages, examples: [[GPU観測性]], [[LLM推論]], [[テレメトリ]]. - `[[Drain]]`: plain mention in 14 pages, examples: [[ソフトウェア変更管理]], [[マルチモーダル障害診断]], [[ログパース]]. - `[[分散ストレージ]]`: plain mention in 13 pages, examples: [[Fault Localization]], [[LLM分散学習]], [[LSMツリー]]. ### Duplicate Basenames (39) - `_index`: `wiki/concepts/_index.md`, `wiki/entities/_index.md`, `wiki/sources/_index.md`. - `AIOps`: `notes/sre/AIOps.md`, `wiki/concepts/AIOps.md`. - `CLAUDE`: `CLAUDE.md`, `wiki/CLAUDE.md`. - `Cursor`: `notes/software-engineering/Cursor.md`, `wiki/entities/Cursor.md`. - `Dan Pei`: `research/reserchers/Dan Pei.md`, `wiki/entities/Dan Pei.md`. - `Datadog`: `notes/sre/Datadog.md`, `wiki/entities/Datadog.md`. - `DeathStarBench`: `notes/cloud-native/DeathStarBench.md`, `wiki/entities/DeathStarBench.md`. - `DeepFlow`: `notes/sre/DeepFlow.md`, `wiki/entities/DeepFlow.md`. - `HeteroTSDB`: `research/heterotsdb/HeteroTSDB.md`, `wiki/entities/HeteroTSDB.md`. - `Infrastructure as Code`: `notes/sre/Infrastructure as Code.md`, `wiki/concepts/Infrastructure as Code.md`. - `Jaeger`: `notes/cloud-native/Jaeger.md`, `wiki/entities/Jaeger.md`. - `Kubernetes`: `notes/cloud-native/Kubernetes.md`, `wiki/entities/Kubernetes.md`. - `LLM推論`: `notes/system-engineering/LLM推論.md`, `wiki/concepts/LLM推論.md`. - `Lustre`: `notes/system-engineering/Lustre.md`, `wiki/entities/Lustre.md`. - `Mackerel`: `notes/sre/Mackerel.md`, `wiki/entities/Mackerel.md`. - `Meltria`: `research/meltria/Meltria.md`, `wiki/entities/Meltria.md`. - `MetricSifter`: `research/tsifter/MetricSifter.md`, `wiki/entities/MetricSifter.md`. - `Michael R. Lyu`: `research/reserchers/Michael R. Lyu.md`, `wiki/entities/Michael R. Lyu.md`. - `NCCL`: `notes/system-engineering/NCCL.md`, `wiki/entities/NCCL.md`. - `OpenTelemetry`: `notes/cloud-native/OpenTelemetry.md`, `wiki/entities/OpenTelemetry.md`. - `Pengfei Chen`: `research/reserchers/Pengfei Chen.md`, `wiki/entities/Pengfei Chen.md`. - `Perfetto`: `notes/sre/Perfetto.md`, `wiki/entities/Perfetto.md`. - `Prometheus`: `notes/sre/Prometheus.md`, `wiki/entities/Prometheus.md`. - `SAKURAONE`: `wiki/entities/SAKURAONE.md`, `z99_private/sakura/SAKURAONE.md`. - `SONiC`: `notes/networking/SONiC.md`, `wiki/entities/SONiC.md`. - `SRE`: `notes/sre/SRE.md`, `wiki/concepts/SRE.md`. - `Scaling Telemetry Workloads`: `research/vision/Scaling Telemetry Workloads.md`, `wiki/concepts/Scaling Telemetry Workloads.md`. - `Shanghai AI Laboratory`: `research/labolatories/Shanghai AI Laboratory.md`, `wiki/entities/Shanghai AI Laboratory.md`. - `Sock Shop`: `research/meltria/Sock Shop.md`, `wiki/entities/Sock Shop.md`. - `Splunk`: `notes/sre/Splunk.md`, `wiki/entities/Splunk.md`. - `TimesFM`: `notes/data-science/TimesFM.md`, `wiki/entities/TimesFM.md`. - `VictoriaMetrics`: `notes/sre/VictoriaMetrics.md`, `wiki/entities/VictoriaMetrics.md`. - `bpftime`: `notes/sre/bpftime.md`, `wiki/entities/bpftime.md`. - `eBPF`: `notes/system-engineering/eBPF.md`, `wiki/concepts/eBPF.md`. - `go-conntracer-bpf`: `research/transtracer/go-conntracer-bpf.md`, `wiki/entities/go-conntracer-bpf.md`. - `vLLM`: `notes/system-engineering/vLLM.md`, `wiki/entities/vLLM.md`. - `エラーバジェット`: `notes/sre/エラーバジェット.md`, `wiki/concepts/エラーバジェット.md`. - `異常検知`: `notes/sre/異常検知.md`, `wiki/concepts/異常検知.md`. - `集合通信`: `notes/system-engineering/集合通信.md`, `wiki/concepts/集合通信.md`. ## Stale Claims - Explicit contradiction callouts: 9. - `wiki/concepts/agentic SRE.md:63`: > [!contradiction] 本番自律緩和の実績 vs ベンチの能力天井 - `wiki/entities/AIOpsLab.md:42`: > [!contradiction] [[@2026__arXiv__SREGym - A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios]]の評価と一次論文の食い違い - `wiki/entities/Guangba Yu.md:47`: > [!contradiction] 所属表記の食い違い - `wiki/entities/ITBench.md:46`: > [!contradiction] 一次論文の強み主張対 [[SREGym]] の批判 - `wiki/entities/Toto.md:40`: > [!contradiction] [[@2025__arXiv__Foundation Models for Time Series - A Survey]] とパラメータ数・事前学習データ点数が食い違う - `wiki/sources/@2025__ICML2025__ITBench - Evaluating AI Agents across Diverse Real-World IT Automation Tasks.md:88`: > [!contradiction] [[@2026__arXiv__SREGym - A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios]]からの批判 - `wiki/sources/@2025__arXiv__Foundation Models for Time Series - A Survey.md:120`: > [!contradiction] [[Toto]] のパラメータ数・事前学習データ点数が既存 wiki と食い違う - `wiki/sources/@2025__arXiv__XPUTimer - Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale.md:51`: > [!contradiction] システム名と著者の改名・改訂 - `wiki/sources/@2026__GoogleSRE__AI in SRE - Engineering the Future of Reliable Operations.md:96`: > [!contradiction] 産業界の自律緩和の実績 vs 学術ベンチの能力天井 - Explicit gap callouts: 0. - 暗黙の stale claim は機械判定していない。新旧ソースの意味的矛盾は人間レビューが必要。 ## Address Validation - Skipped: `scripts/allocate-address.sh` または `.vault-meta/address-counter.txt` が未導入。`wiki/CLAUDE.md` の現状方針どおり address は対象外。 ## Semantic Tiling - Skipped: `scripts/tiling-check.py` が未導入。 ## Naming / Style - source filename `@` prefix は existing source pages で確認対象。 - source filename の `@` prefix 違反なし。 - 文体・出典不足の検出は正規表現ベースに限る。主張ごとの provenance 完全性は今回の機械 lint では未検証。 ## Notes - Missing cross-reference は exact title の素朴な文字列一致であり、固有名詞や略語では偽陽性を含む。 - Orphan は inbound wikilink のみで判定しており、frontmatter の `sources:` や全文検索で到達できる stub は意図的に orphan として残る場合がある。 - 本 lint は観察のみで、自動修正は行っていない。