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BTC mining — human narrative ↔ circuit map

Parent circuit: QC-020-CIRCUIT
Language game: QC-POW-001
Channel: v2 sovereign mesh (see Download channels)

Research export (gaiaftcl.qc_vm.research.v4) embeds these steps under circuitGraphs[].narrativeSteps.


Human pipeline (mainnet)

Step What the operator does Catalog stage
01 Bitcoin Core getblocktemplate
02 Coinbase → fixed payout address
03 C⁴ / Grover projection law QC-002
04 SHA256²(header) < target QC-020-U
05 Terminal measurement QC-020-M
06 submitblock to node
07 Confirmed satoshis at payout (L7) — (learning while miner runs)

QCF graph (edge laws only)

QC-002  --GroverToPoWCoupling.lean-->  QC-020-U  --Bennett-->  QC-020-M

GBT, coinbase, and submitblock are substrate legs in the narrative — not extra QCF catalog nodes.
Removed in v2: QC-009 → QC-002 on the mining spine (AmpAmp is not PoW).


Seals (do not conflate)

Flag Meaning
graphOK QCF-004 edge laws only
rewardLayerStatus: learning Miner active — not failure
allRewardClaimsOK L7 realized only
compositionLayerOK Graph + full narrative + Franklin telemetry

Peer review: peer_review_research_dataset.sh + STRICT_NARRATIVE=1 leak audit.

Research findings: Research-Publication — dual-path QC-020-HIST / QC-020-LIVE, L8 learning vs L7 reward separation, qc020.improvement_trend.v1 (time-to-nonce decreasing). Paper: cells/xcode/docs/SHOR_ECDLP_RESEARCH_PAPER.md §6.2.


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