Research-Stack/6-Documentation/tiddlywiki-local/wiki/tiddlers/Delta GCL Compression.tid
Brandon Schneider 679945c1a0 ingest: dair-ai Agentic Engineering Wiki (51 tips, 7 categories)
Cross-referenced against our prover orchestration layers:
- Plan-Execute-Verify-Replan ↔ L0-L3 pipeline
- Agents as specialists ↔ 11-agent swarm
- Guardrails ↔ ProverWatchdog
- Sandbox testing ↔ Virtual FPGA tests
- Trajectory-aware eval ↔ BFS audit trail

5 gaps identified, 4 strengths confirmed
2026-05-07 00:27:02 -05:00

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created: 20260507000000000
modified: 20260507000000000
tags: ResearchStack Compression GCL Infrastructure
title: Delta GCL Compression
type: text/vnd.tiddlywiki
! Delta GCL Compression
Delta GCL (General Compression Language) is the primary compression pipeline in the stack. Core components: `4-Infrastructure/infra/delta_gcl_compression_service.py`, `4-Infrastructure/infra/adaptive_delta_gcl.py`, `4-Infrastructure/infra/neural_delta_gcl_compressor.py`, `4-Infrastructure/infra/topological_storage_delta_gcl.py`. The pipeline: raw data → Metafoam compression → Delta GCL encoding → AES-256-GCM encryption → SQLite storage. Includes GCL sequence generation, manifest encoding, and RG-flow-lawful compression verification. The `DeltaGCLEncoder` produces compact GCL sequences that can be stored instead of full payloads (used by [[ENE API Hook]]). Related to the GCCL theory (ΔφγKλ compression law) and the genetic coding infrastructure.
!! Links
* [[ENE API Hook]]
* [[Compression and Soliton Mining]]
* [[Hutter Prize Compression]]
* [[Genomic Data Compression Anchor]]
* [[GCL Nanokernel]]