Record completion research site deployment
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# Project Status
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last_reviewed: 2026-07-27
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baseline_before_update: `5373d56`
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last_reviewed: 2026-07-28
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baseline_before_update: `4c88faa`
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branch: `main`
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remote: `https://git.k1412.top/wuyang/agent.git`
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@@ -80,7 +80,7 @@ evaluation contract.
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| research | `research/memory/`, `research/completion-verification/` | field findings and evidence ledgers |
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| Agent evaluation | `research/evaluation/` | executable design contract for task suites, validators, paired comparisons, and release gates |
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| evaluation data/tools | `data/evaluation/`, `tools/evaluation/` | versioned task contracts and JSONL result scorer |
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| evaluation report | `evaluation-site/` | Chinese interactive explanation of the contract, decision gates, tasks, and artifacts |
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| research document | `evaluation-site/` | completion research reading view, generated evidence index, and archived v1 evaluation report |
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| research data | `data/research/` | committed corpus, screening, landscape and CSV ledger |
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| research tools | `tools/research/` | paginated search, abstract fetch, screening, classification, landscape build |
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| experiments | `experiments/knowledge-compilation/` | failed pilot and completed full-text research audits |
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@@ -145,8 +145,9 @@ intentionally paused while the research findings are reviewed. Before implementa
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need separate outcome/invariant/procedure/semantic-residual layers, non-binary
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`ambiguous/unverifiable` states, and explicit recovery-stage fields.
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`evaluation-site/` visualizes this contract but does not add evidence. Its adjustable decision values are
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explicitly labeled as a method simulation, not a real benchmark.
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`evaluation-site/` now uses the completion/verification audit as its homepage. The old v1 contract
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visualization remains at `/evaluation-v1.html`; its adjustable decision values are still explicitly
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labeled as a method simulation, not a real benchmark.
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## Web Application
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@@ -185,7 +186,7 @@ On 2026-07-27 both the Tailscale endpoint and `https://lab.k1412.top/api/health`
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The live Ollama inventory checked on 2026-07-12 included `ChatGPT-5.6:Luna`, `Terra`, `Sol`, `auto`, `embed`, and `gpt-4o:latest`. The web defaults were updated from stale `light/fast/large` tags to configurable Luna/Terra/Sol tiers.
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The static Agent evaluation report is packaged separately:
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The static Agent completion research document is packaged separately:
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```text
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source: evaluation-site/
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@@ -193,15 +194,24 @@ public mapping: https://agent-eval.k1412.top/
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container port: 8080
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health: /health
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deployment: Unraid Compose Manager, app slug agent-eval
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archived v1: /evaluation-v1.html
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```
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It uses no Ollama or runtime API. The source report remains usable even when the research application is
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offline.
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It uses no Ollama or runtime API. The homepage presents the eight completion/verification/recovery
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conclusions, capability decomposition, evidence/recovery chains, 2023-2026 progression, the explicitly
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unvalidated system synthesis, unresolved questions, and a searchable/filterable 40-paper source pool
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containing 37 audited records.
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The 2026-07-27 deployment uses immutable image
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`docker.k1412.top/wuyang/agent-eval:20260727T084425Z-cd1eacb` on NAS host port 12005. Container health,
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NAS/VPS Tailscale reachability, HTTP-to-HTTPS redirect, HTTP/2, Let's Encrypt SAN, static-asset hashes,
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public desktop/mobile rendering, and the homepage entry were all verified.
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The evidence browser is deterministically generated from
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`research/completion-verification/evidence-ledger.md` by
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`evaluation-site/build_research_data.py`. `tools/check_project.py` verifies the source hash and the
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40/37/26 pool, audited, and core counts.
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The 2026-07-28 deployment uses immutable image
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`docker.k1412.top/wuyang/agent-eval:20260727T165727Z-4c88faa` on NAS host port 12005. Container health,
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Compose Manager ownership, NAS/VPS Tailscale reachability, HTTP-to-HTTPS redirect, HTTP/2, Let's Encrypt
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SAN, static-asset hashes, public desktop/mobile rendering, evidence filters, and the archived page were
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verified. The existing `AGENT EVAL` homepage entry remains under `projects` at order 130.
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## Runtime Constraints
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@@ -221,6 +231,7 @@ public desktop/mobile rendering, and the homepage entry were all verified.
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Offline validation:
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```bash
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python3 evaluation-site/build_research_data.py --check
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python3 tools/check_project.py
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python3 -m unittest tools.evaluation.test_score_agent_runs
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git diff --check
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@@ -1,6 +1,6 @@
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# Exploration History
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last_reviewed: 2026-07-27
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last_reviewed: 2026-07-28
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This is the decision history, including failed routes. Preserve it so future work does not rediscover the same lessons.
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@@ -298,3 +298,30 @@ Current source of truth:
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- `research/completion-verification/findings.md`
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- `research/completion-verification/evidence-ledger.md`
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- `experiments/knowledge-compilation/2026-07-27-agent-completion-research-audit.md`
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## 14. Research Document, Not a New Product Shape
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The user asked to read the completion research as a web page because the Markdown artifacts were
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harder to traverse. This did not reopen the larger website/product-design question. The implementation
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therefore treats the page as a document rendering of committed research:
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- the first view states the conclusion and evidence boundary;
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- eight conclusions lead into capability decomposition and two distinct chains for closure and recovery;
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- each argument exposes its direct numbers and non-extrapolation boundary progressively;
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- the 2023-2026 timeline separates measurement progress from unsolved general capability;
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- the completion certificate, failure object, and recovery router remain labeled as system inference;
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- all 40 source papers are searchable, with 37 audited and 3 context-only records;
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- evidence data is generated from the Markdown ledger and checked by source hash.
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The former v1 evaluation explanation page remains at `/evaluation-v1.html`. It was not deleted or
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silently rewritten.
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Desktop 1440×1000 and mobile 390×844 Chrome checks found no horizontal overflow or console/page
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errors. Core filtering returned 26 records; recovery filtering returned 12; public evidence search and
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expansion worked. The production image
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`docker.k1412.top/wuyang/agent-eval:20260727T165727Z-4c88faa` was deployed on the existing NAS port
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12005 and existing HTTPS route.
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Decision retained: use `https://agent-eval.k1412.top/` to challenge the research with the user.
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Do not interpret successful document presentation as validation of the proposed evaluation system or
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as permission to resume runner implementation.
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# Next Work
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last_reviewed: 2026-07-27
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last_reviewed: 2026-07-28
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## P0: Challenge the Completion Research
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The immediate work is not an Agent experiment and not a new evaluation page. Review
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`research/completion-verification/findings.md` with the user and determine whether its problem
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decomposition is actually useful.
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The immediate work is not an Agent experiment or a product redesign. Review the document at
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`https://agent-eval.k1412.top/` with the user and determine whether the problem decomposition is
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actually useful. The Markdown sources remain
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`research/completion-verification/findings.md` and `evidence-ledger.md`.
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The review should test whether the research can answer, without falling back to paper titles:
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@@ -24,6 +25,10 @@ does not prove.
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Only after this review should the candidate completion certificate, failure object, and recovery router
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be translated into task contracts. They are currently system inferences, not validated implementations.
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The old v1 evaluation explanation remains available at
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`https://agent-eval.k1412.top/evaluation-v1.html`. Use it only to compare the premature contract-first
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route with the current evidence-first research, not as a benchmark result.
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## P1: Prove the Paper Compiler
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The main project goal is now a high-efficiency knowledge funnel, not a paper browser and not a fixed
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@@ -222,7 +227,7 @@ Still missing:
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For the knowledge-base repository:
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1. read `research/completion-verification/findings.md` with the user;
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1. read `https://agent-eval.k1412.top/` with the user;
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2. collect objections, ambiguous terms and missing counterexamples;
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3. tighten or reject conclusions against the evidence ledger;
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4. only then convert the accepted model into a minimal task-contract schema;
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