{
  "applicant_and_project_author": "Arhan Canli",
  "application_ready": {
    "activity_description_characters": 125,
    "activity_description_max_150_characters": "Built ALPHAC: 228 retired legacy identities, 1 prospective trial, broker evidence, corrections, and 16 checksum-bound papers.",
    "memorable_lesson": "The project became stronger when its validation system disproved attractive results; the contribution is the machinery that makes those reversals visible.",
    "short_description": "Designed and implemented a quantitative-research and publication system spanning data engineering, statistical validation, paper execution, provenance, testing and public web interfaces. Published negative results and corrections alongside surviving hypotheses so every performance claim can be traced to evidence."
  },
  "claim_boundary": "This is a source-bound portfolio evidence map. It supports concise factual writing but does not prove admissions impact, external use, independent review or unaided authorship.",
  "content_hash": "sha256:70eadf202ea25ba7f29b32dfc390aed569ac3a88f07a9e19e1235f6b6037d33b",
  "evidence": {
    "forward_truth": {
      "boundary": "The forward Sharpe, drawdown and diversification objectives are not established.",
      "claim": "The project refuses to infer success from an immature forward record.",
      "facts": {
        "cumulative_return": -0.022271700000000005,
        "current_sleeves": 4,
        "daily_return_observations": 16,
        "provenance_passes": false,
        "sharpe_status": "IMMATURE_RECORD_TOO_SHORT",
        "target_sleeves": 14
      }
    },
    "research_governance": {
      "boundary": "Publishing an incomplete packet does not make it complete or reproducible.",
      "claim": "Every recorded legacy identity has a public packet and unresolved debt remains visible.",
      "facts": {
        "complete_packets": 2,
        "incomplete_packets": 226,
        "legacy_hypothesis_identities": 228,
        "legacy_identities_eligible_for_admission": 0,
        "prospective_hypothesis_identities": 1,
        "prospective_trial_admitted": false,
        "prospective_trial_disposition": "INCOMPLETE",
        "published_identity_packets": 228,
        "research_families": 15,
        "retired_identities": 228,
        "total_hypothesis_identities": 229
      }
    },
    "scholarly_objects": {
      "boundary": "Archive integrity is not result replay or rights clearance; no DOI, external submission, peer review or independent replication is claimed.",
      "claim": "Each sleeve has an authored archival research object and evidence bundle.",
      "facts": {
        "data_license_reviews_complete": 0,
        "deterministic_review_archives": 16,
        "full_clean_workspace_reproductions": 0,
        "independent_human_reproductions": 0,
        "normalized_bibliographies": 16,
        "pdf_pages_visually_inspected": 80,
        "portable_core_only_reproductions": 0,
        "portable_full_decision_reproductions": 1,
        "raw_input_archive_members": 0,
        "released_exact_result_objects": 34,
        "sleeve_papers": 16,
        "source_mappings_complete": 16,
        "upstream_strategy_curve_replays": 3
      }
    },
    "statistical_judgment": {
      "boundary": "Targets are objectives, not achieved results; legacy trials cannot be regraded.",
      "claim": "Admission v7 separates incremental decisions from portfolio-maturity claims.",
      "facts": {
        "average_pairwise_correlation_objective": -0.03,
        "expected_maximum_drawdown_target": 0.11,
        "honest_forward_sharpe_target": 1.5,
        "prospective_gate_audit_read_candidate_returns": 0,
        "target_sleeves": 14
      }
    },
    "systems_and_provenance": {
      "boundary": "Alpaca accounts are paper accounts; broker reconciliation is not funded performance.",
      "claim": "Broker and publication claims are connected to hash-bound evidence.",
      "facts": {
        "alpaca_sleeves_expected": 3,
        "alpaca_sleeves_reconciled": 3,
        "broker_reconciliation_passes": true,
        "dedicated_accounts_unique": true,
        "publication_bundle_files": 418
      }
    },
    "testing_and_correctness": {
      "boundary": "Mutation coverage applies to the enumerated published-claim guards, not every program path.",
      "claim": "Published-claim guards were mutation-tested with a negative control.",
      "facts": {
        "guards_mutated": 48,
        "guards_not_yet_mutated": 0,
        "mutation_findings": 0,
        "negative_controls": 1
      }
    }
  },
  "ninety_second_project_map": [
    "Question: can a quantitative claim be made independently falsifiable?",
    "System: point-in-time inputs -> registered trial -> realistic simulation -> gate -> paper account -> signed evidence -> public paper.",
    "Decision quality: attractive results were corrected, killed or kept provisional when evidence failed.",
    "Public output: trial packets, papers, machine-readable artifacts, corrections and broker-separated paper evidence.",
    "Open burden: longer forward evidence, ten additional distinct sleeves, portable raw-input replay and independent review."
  ],
  "one_sentence_thesis": "Arhan Canli built ALPHAC to test whether quantitative-finance claims can be made publicly falsifiable through point-in-time data, complete trial accounting, broker reconciliation, deterministic evidence and visible corrections.",
  "schema": "canli.alphac-stanford-cs-evidence-map.v1",
  "source_bindings": {
    "admission_v7": {
      "path": "config/admission_v7_promotion.json",
      "sha256": "5e7d95e9b6265c229b6e1604f96bc9e1b0db59e282ec0be33740b8dda3b552a5"
    },
    "all_sleeve_archives": {
      "path": "artifacts/publication/all_sleeve_review_archives.json",
      "sha256": "23f10194033f345b1c01fa928a04b82d8b64ebc2b729ba5219835f0f0afc6720"
    },
    "broker": {
      "path": "artifacts/engineering/alpaca_broker_reconciliation.json",
      "sha256": "ebde115d3498d2088c68c508609147a14e0b6334a610370d038332bd3c647197"
    },
    "clean_reproduction": {
      "path": "artifacts/publication/clean_workspace_reproduction_audit.json",
      "sha256": "6fca2b0c5026cc77fbfc4ba3d8109c8d33ced29ae6bee6472926f3fccd1c7177"
    },
    "forward": {
      "path": "artifacts/engineering/forward_evidence_maturity.json",
      "sha256": "a3b03fad0fe938c5d111d1399fa4e9204c1e98b640dca0fdca97e21441158f7a"
    },
    "legacy_closure": {
      "path": "artifacts/research/legacy_research_epoch_closure.json",
      "sha256": "84409c581d2318c44b16bf70f11d2a20bc07b37b09c060a4fcbb0d02b6ca8910"
    },
    "mutation": {
      "path": "artifacts/engineering/mutation_ledger.json",
      "sha256": "7068686b9aa8a0f78b9e0f84ec7b2ba5d7de9a29b9c756c22d8dfa91031864a2"
    },
    "prospective_trial": {
      "path": "artifacts/research/crypto_carry_portable_v1_result.json",
      "sha256": "bca34612b3f683666e5738fbbe352be7953a233b4fd6689ba1111d56385e916c"
    },
    "publication": {
      "path": "artifacts/audit/external_publication_readiness.json",
      "sha256": "c7ff9cf3e784a31da2e98ad14bab84a08ea1cb2bb3abfe1d39997a3c3e5b57c4"
    },
    "source_rights": {
      "path": "artifacts/publication/all_sleeve_data_rights_audit.json",
      "sha256": "652686632f243df3a40de23bac96f6ce04f6f6364c8d5dae97476f518df836f6"
    },
    "trial_packets": {
      "path": "artifacts/research/trial_packet_manifest.json",
      "sha256": "0147dd8e631ca24257e2db384bf01d4637a79371f1754b284f3f7e9637c1369c"
    }
  },
  "status": "FACTUAL_PORTFOLIO_EVIDENCE_NOT_AN_ADMISSIONS_CLAIM",
  "what_not_to_claim": [
    "funded or client performance",
    "a statistically established forward Sharpe",
    "peer review or repository acceptance",
    "independent replication",
    "Stanford endorsement",
    "that automation proves Arhan's unaided personal contribution"
  ]
}