Files
manual_slop/conductor/tracks/video_analysis_deob_20260621
ed 59ba8ff2ba conductor(deob_umbrella): Initialize Pass 2 de-obfuscation campaign umbrella
Pass 2 of 3 multi-pass research campaign. 5 folders total (1 umbrella + 1 warmup + 3 phase children).
- Umbrella spec.md (~400 lines): full design, philosophy, 3-layer deliverable, verification
- Multi-pass framing: Pass 1 = extraction (done), Pass 2 = de-obfuscation (this), Pass 3 = projection (future user-led)
- De-obfuscation philosophy: constructive type theory + Wildberger finitism + boundedness for knowledge + cycles/iteration explicit + etymology-aware
- 4 verification criteria: lossless, bounded, constructively typed, etymology-cited
- Multi-layer deliverable per video: translation (side-by-side) + replacement (re-encoded) + decoder (per-term etymology)
- Phase 0: USER action item (gather 3-10 samples of past de-obfuscation notes)
2026-06-23 00:06:51 -04:00
..

Video Analysis De-obfuscation Campaign (2026-06-21) — Pass 2 of 3

Status: Active (spec approved 2026-06-21) Owner: Tier 1 Orchestrator (umbrella spec); Tier 2 Tech Lead (per-track execution) Type: Multi-track research campaign (5 folders total) User-as-source: The warmup is blocked on the user providing samples (Phase 0).

This is Pass 2 of 3 in the research campaign to penetrate the AI field. See spec.md for the full design and the user's de-obfuscation philosophy (constructive type theory, bounded forms, cycles/iteration explicit, etymology-aware).

Children

Precursor (standalone, not a child of this umbrella)

Track Status Notes
Warmup ../video_analysis_deob_warmup_20260621/ [ ] Produces report.md + prompt_template.md from the user's past samples. User must provide samples first. Blocks the 3 children below.

Phase children (3)

# Track Status Input Output
1 ../video_analysis_deob_lexicon_20260621/ [ ] Warmup's report.md + prompt_template.md lexicon.md + terms_catalog.md + dedup_map.md
2 ../video_analysis_deob_pilot_20260621/ [ ] Lexicon + 2 Pass 1 reports (cs229_building_llms, entropy_epiplexity) 2× 3-layer deliverables + pilot_report.md
3 ../video_analysis_deob_apply_20260621/ [ ] Refined lexicon + 10 Pass 1 reports + 1 synthesis 11× 3-layer deliverables + apply_report.md

Dependency graph

WARMUP (precursor) ──► PHASE 1 (lexicon) ──► PHASE 2 (pilot) ──► PHASE 3 (apply)
        │                    │                    │                    │
        └────────────────────┴────────────────────┴────────────────────┘
                                  blocked_by chain

Status legend

  • [ ] not started
  • [~] in progress
  • [x] shipped
  • [!] blocked

Cluster / phase legend

  • Warmup — research-style track; produces the initial lexicon + LLM prompt template
  • Phase 1 (lexicon) — refines the warmup's draft into a codified operational spec
  • Phase 2 (pilot) — applies the lexicon to 2 videos (1 foundational + 1 math-heavy) for validation
  • Phase 3 (apply) — applies the refined lexicon to the remaining 10 + synthesis

Multi-layer deliverable (per video)

For each de-obfuscated video, the output is 3 files in artifacts/<slug>/:

  1. translation.md — side-by-side table: original expression ↔ re-encoded form
  2. deobfuscated.md — the re-encoded report (replacement; same 8-section structure as Pass 1)
  3. decoder.md — per-term decoder: form anchor, etymology, definition history, link to original section

Verification (4 criteria per deliverable)

  • Lossless — every Pass 1 concept is represented
  • Bounded — no ∞_val or ∞_card; all values are finite forms
  • Constructively typed — every expression has a type
  • Etymology-cited — every new term has a 1-line origin + 1-line definition history in the decoder

See also

  • spec.md — full design (15 sections, ~400 lines)
  • plan.md — campaign-level plan
  • metadata.json — scope, risk register, verification criteria
  • state.toml — current phase + task tracking
  • ../video_analysis_campaign_20260621/spec.md §0, §11 — multi-pass framing (Pass 1 → Pass 2 handoff)
  • ../intent_dsl_survey_20260612/report_v1.2.md — sibling DSL (tool-verb DSL for AI agents; shares philosophy but is for tool verbs, not math re-encoding)