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* docs: gongfa-faqi - clarify registry counts * docs: gongfa - clarify candidate semantics and provenance * docs: gongfa - disambiguate candidate identifiers * docs: gongfa - defer composite uncertainty candidate * fix: faqi - restore auto-tmux executable modes * docs: gongfa - qualify literature synthesis candidate * docs: faqi - record pinned asset placeholder boundary * docs: gongfa - narrow retrieval audit candidate scope * docs: gongfa - defer amortized analysis pending source freeze * docs: faqi - disclose unresolved asset placeholders * docs: gongfa - qualify proof-kernel candidate scope * docs: faqi - guard pinned asset placeholders * docs: gongfa - defer causal audit without frozen scope * docs: gongfa - separate drift and OOD candidates * docs: faqi - clarify doctor placeholder false positive * docs: gongfa - separate confidence escalation * docs: gongfa - freeze ML review selection * docs: gongfa - qualify ML source support * docs: gongfa - freeze exact title matches * docs: gongfa - qualify metacognition sources * docs: gongfa - review causal feature ablation * docs: faqi - trace asset placeholder history * fix: faqi - validate asset links and license sources * docs: gongfa - record 85 principle reviews * docs: gongfa - review software engineering candidates * fix: auto-tmux - align reference audit with quick links * docs: gongfa - review software engineering entries 5-9 * docs: gongfa - review software engineering entries 10-15 * docs: gongfa - review controlled evolution loop * docs: gongfa - review programming entries 0-4 * docs: gongfa - review programming entries 5-9 * docs: gongfa - review programming entries 10-14 * docs: gongfa - review programming entries 15-17 * docs: gongfa - review problem-solving entries 0-4 * docs: faqi - record Skill Seekers CLI boundaries * docs: gongfa/faqi - continue bounded review * docs: gongfa/faqi - review information sources * docs: gongfa - review information science entries 4-5 * docs: gongfa - refine analogy candidate review * docs: gongfa/faqi - review algorithm and runtime evidence * docs: gongfa/faqi - review search methods and license scope * docs: gongfa/faqi - review state and cache semantics * docs: faqi/tmux - inventory pinned license notices * docs: gongfa - review algorithm source boundaries * fix: faqi - bind pinned license notice evidence * docs: gongfa - review machine-learning evaluation methods * docs: gongfa - review machine-learning entries 5 to 8 * docs: faqi - record oh-my-tmux logo license source * docs: faqi - reconcile catalog counts * docs: github - remove mandatory approval requirements
98 lines
6.7 KiB
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98 lines
6.7 KiB
Plaintext
# 2026-10-14 摊销分析候选的有限冻结选区
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> 本文件冻结一条 Solve `MethodSpec`供语义与来源支持审查；不是第二份正文、已接受的项目候选、登记、评级、许可或效果验证。
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## 快照清单
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- 捕获时间：`2026-10-14T10:09:29Z`。
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- 触发：完成候选D“摊销分析”的来源与身份核对；owner：功法元数据子域维护者；退役：候选处理决定归档后转为只读历史证据并保留，不删除。
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- 来源根目录：`/home/lenovo/.pi/agent/`；Pi agent仓库HEAD：`ddee69426d133253c4ef89fdeb089818f5ee5e36`。
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- Solve pack：`skills/workflow/modules/solve/references/packs/algorithms.json`；pack ID/version：`psoa.pack.algorithms@1.0.0`；pack SHA-256：`f1d2378c0b696527138afdcf3f213dee9957a5340aaec3671b6ddd2f0cb3f3be`；选择器为`.entries`零基索引`0`、原文件第7行，记录ID为`psoa.algorithms.amortized-analysis`。捕获时该pack文件与HEAD一致；Solve工作区的`VERSION`、`references/catalog.json`、`references/source-inventory.json`另有未提交改动，不据此冒称完整Solve发布版本。
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- 原引用键映射来自当时未提交的`skills/workflow/modules/solve/references/source-inventory.json`，SHA-256为`5315782f2ee45cf9b401322d393fb8b065aab1c98b38d6d2fa0ef4098e95a06a`：`ref:mit-algorithms` → <https://ocw.mit.edu/courses/6-046j-design-and-analysis-of-algorithms-spring-2015/>；`ref:cs2023` → <https://csed.acm.org/wp-content/uploads/2024/04/CS2023-Final-Report.pdf>。只绑定当时映射，不代表引用原文支持。
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- 补充来源核验：MIT OCW 2015春季6.046J [Lecture 5: Amortization](https://live.ocw.mit.edu/courses/6-046j-design-and-analysis-of-algorithms-spring-2015/13e2c7d165259712327af0af312a068e_MIT6_046JS15_lec05.pdf)；ACM/IEEE-CS/AAAI [CS2023 Body of Knowledge PDF](https://csed.acm.org/wp-content/uploads/2024/04/3.1-Body-of-Knowledge-1.pdf)，PDF第30页（正文页码）。当前`ref:cs2023`登记的`CS2023-Final-Report.pdf`返回HTTP 404；替代PDF来自同一官方站点，不回写Solve来源清单，也不冒称为登记URL的原字节。
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## 来源支持与语义边界
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- MIT课程主页说明课程覆盖有效算法设计与分析，但未在主页摘要中展开摊销分析步骤。补充Lecture 5明确介绍aggregate、accounting、charging与potential methods，并以动态表扩容、二进制计数器和搜索树为例；还说明摊销成本“可以是、但不必是”平均成本，摊销分配的总和须覆盖操作序列的实际总成本，势函数法还须保持势能不低于初始值。该讲义支持算法/数据结构操作序列上的摊销分析，但不是Solve记录原`source_refs`中的精确讲义选区；许可未核验。
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- CS2023 Body of Knowledge第30页将`Amortized analysis`列入`AL-Complexity: Complexity`的`KA Core`，与`CS Core`分列；据此不能推断每个计算机科学项目都必须把它作为CS Core教学要求。该文件是课程分类材料，不是摊销推导的完整教程。
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- 摊销分析不是期望值或统计意义上的平均情况分析。它在给定成本模型与操作序列条件下，证明序列总成本上界，并可给出每种操作的摊销成本；不能据此声称每次实际操作都有相同成本或响应时延满足硬上限。
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- Solve摘要中的“估算平均代价”有歧义，可能被误解为概率平均；原记录后续步骤提到聚合/记账/势函数，但没有明确列出charging method和初始势函数约束。若未来形成新来源修订，建议用“证明操作序列的总成本界，并明确摊销分配方法及边界条件”表述；将其用于agent loop、缓存或增量流程还需另行定义状态、成本单位、操作序列与响应时延合同，算法教材不证明这些软件场景的收益。
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- 对现有410项总表Markdown与Excel做了限定关键词检索（“摊销分析”“amortized analysis”“势函数”“记账法”“操作序列”等），未命中同名或显式同义条目。此为词项级定位，不是556→410完整语义去重；与一般复杂度约束、阿姆达尔定律、利特尔法则不同，不足以独立证明全表无重复。
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**处理结论：**摊销分析可作为算法分析领域的独立方法主题与既有一般复杂度/性能方法区分；MIT讲义直接支持核心方法，CS2023支持其课程分类，但原Solve引用映射过宽且CS2023原登记URL失效。故本轮冻结来源用于人工审查，不分配项目ID、不写入机器登记或总表、不赋初评/品级、不声称应用效果。若要进入项目候选登记，须形成可追溯来源修订、固定MIT讲义与CS2023文件版本/许可，并审查是否收录算法专用方法；原“平均代价”措辞须先消除统计平均歧义。
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## 冻结的Solve记录
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```json
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{
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"id": "psoa.algorithms.amortized-analysis",
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"version": "1.0.0",
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"kind": "MethodSpec",
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"origin": "source",
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"source_key": "algorithms.amortized-analysis",
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"name": "Amortized Analysis",
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"name_zh": "摊销分析",
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"domain": "algorithms",
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"status": "experimental",
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"summary": "不只看单次最坏成本，而是在一串操作上用势函数或记账方法估算平均代价。",
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"core_question": "连续操作的总成本到底由什么决定？",
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"operation": "定义操作序列和势函数 → 计算实际/摊销代价 → 求总界 → 与预算比较",
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"agent_use": "评估 agent loop、缓存和增量流程的长期成本。",
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"applicability": {
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"when": [
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"单次操作昂贵但状态可积累或释放。"
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],
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"not_when": [
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"一次性操作且没有跨步骤状态。"
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]
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},
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"source_refs": [
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"ref:mit-algorithms",
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"ref:cs2023"
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],
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"governance": {
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"risk_level": "low",
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"permission_decision": "harness_policy",
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"outcome_decision": "verifier",
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"sensitive_values": "reference_only"
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},
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"semantics": {
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"preconditions": [
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"操作序列、状态和成本度量可定义。"
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],
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"steps": [
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{
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"order": 1,
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"instruction": "列出实际操作成本和状态变化"
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},
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{
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"order": 2,
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"instruction": "选择势函数、聚合或记账方案"
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},
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{
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"order": 3,
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"instruction": "证明每步摊销代价及总和上界"
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},
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{
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"order": 4,
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"instruction": "按真实规模与预算评估"
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}
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],
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"stop_conditions": [
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"总成本界与资源预算可比较。",
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"状态或成本无法观测。"
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],
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"success_conditions": [
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"得到可解释的序列成本上界和热点。"
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],
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"evidence_required": [
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"成本模型、势函数/记账规则、推导、规模和测量。"
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],
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"failure_modes": [
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"势函数不下界或漏记状态转移。",
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"平均界掩盖单次硬实时约束。"
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]
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}
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}
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```
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