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JPL_AUTONOMY_EDL_06 · Quant method

Landing-Ellipse Shrinkage as a Technology Learning Curve: Quantifying the Precis

Learning-curve quantification of landing-ellipse contraction (precision-landing improvement) across Mars missions.

PASS-WITH-REVISIONLow Risk

Stage

8 / 8

Brain Minting

Evidence

75%

Readiness

Citations

95%

ARGOS readiness

Will Mint

1 brain

coll-jpl_autonomy_edl_06

Gate Condition

Add a bad-control rebuttal + a pre-registered refit dropping the approach-accuracy control; 2 more.

Next action: Apply the ratified binding revision before any execution-stage advance.

Foundational Research Chain

The provenance-tracked research products that lead up to and substantiate this dissertation. Each artifact is the output of a required pipeline stage and is linked below.

  1. Prospectus & data-provenance charterStage 0
    prospectus.md
  2. Multi-perspective interrogation (mind-map, open questions, grounded claims)Stage 0.75
    mindmap.mdopen_questions.jsonlgrounded_claims.jsonl
  3. Provenance-tagged research corpusPhase 1
    corpus.jsonl
  4. Dissertation (literature & PRISMA review, contribution, methods, results)Stages 1-6
    dissertation.mdJPL_AUTONOMY_EDL_06.docx
  5. ARGOS citation auditArchivist gate
    CITATION_AUDIT.md
  6. Conclave defense deck (source; rendered .pptx on disk)Stage 8
    deck.md
  7. SuperStack prose-integrity reportProse gate
    superstack_report.md

Interrogation panel (Hall of Shoulders)

32 open questions and 31 grounded claims drawn from 46 graded sources, raised by 6 thinker-brains:

ackoffchristensen_ckahnemankuznetsmazzucatomokyr

Defense Readiness

Pipeline progress100%
x
Evidence readiness75%
x
Citation readiness95%
x

Theory anchor

Entry Descent & Landing Systems

ARGOS Citations (0)

No tracked citations yet.