Context-Blind Auditor (Reaper) & Falsifiability Gate: Auditing 360/394 Citations and Halting Hallucinations

1. The Self-Reflection Trap: Why Generators Cannot Be Their Own Auditors

A common flaw in autonomous LLM workflows is instructing the same model session to “review your output and fix any errors.” As demonstrated in primary research on intrinsic self-correction limits (arXiv:2310.01798) and model sycophancy (arXiv:2310.13548), in-context self-reflection fails as a safety gate for two structural reasons:

• In-Context Confirmation Bias: Self-attention conditions heavily on tokens already emitted in the current trajectory. If an agent attaches a fabricated PMID/DOI to a real paper title or overlooks an edge case, its reflection pass in the same context window attends to its prior rationalization and judges the output coherent.
• Intent Contamination: The generating agent sees the prompt history, time constraints, and intermediate excuses, silently lowering its verification threshold.

The Atlas constitution enforces strict separation of powers: an agent is automatically recused from auditing any hypothesis, code change, or report it generated. Verification is delegated to multi-agent cross-examination (arXiv:2305.14325) and an isolated judge layer (arXiv:2306.05685) that never sees the generator's chain-of-thought.

2. Context-Blind Auditor (Reaper) Architecture: Local Telemetry vs. Citation Auditing

The Reaper auditing layer separates two distinct mechanisms that must not be conflated: (1) the local system telemetry script kosucu/reaper_denetci.py, and (2) context-blind bibliographic audit runs (rapor/kivilcim/SEKTOR_MAKALESI_1018/reaper_kaynak.md and data/reaper_karne.json).

The local system auditor kosucu/reaper_denetci.py runs on a 6-hour launchd schedule (4 rounds per day at 03:15, 09:15, 15:15, and 21:15 via com.ustakil.reaper_denetci.plist) and on explicit task-bus directives. Transparency Note: There is no automatic pre-publication trigger before every article deployment; in fact, the initial version of these three proof notes (commit 2ce9cc4, October 19, 2026 at 11:46) was published without a prior Reaper pass and was subsequently retracted (commit cf672cf) after Reaper's Round 1 audit (rapor/denetci/kanit_yazilari_denetim_1019.md) caught 5 false claims.

kosucu/reaper_denetci.py (lines 1–35) does not query external APIs; it inspects local scripts, logs, and self-test outputs on disk, assigning each of the 58 system methods to one of five local telemetry classes:

1. CANLI (Live): The script exists on disk, executed within its target window, and produced verified local telemetry.
2. AKSAK (Degraded): The method runs but exhibited partial timeouts, stale timestamps, or sub-threshold coverage.
3. ÖLÜ (Dead): Documented in specifications but absent or non-functional in the runtime.
4. İDDİA (Unverified Claim): Asserted in documentation without a mechanical gate or below target threshold (e.g., site-beyan-olcu = İDDİA at 72.3% < 80%).
5. ÖLÇÜLEMEDİ (Unmeasured): Lacking an automated measurement hook (target: 0 ÖLÇÜLEMEDİ).

To test the auditor itself, kosucu/reaper_denetci.py --selftest injects 3 intentionally corrupted records; Reaper must catch all 3/3 injected faults and pass 8/8 self-tests (REAPER_DENETCI_OK 8/8). From Day-1 (57 methods: 44 CANLI · 10 AKSAK · 1 ÖLÜ · 2 İDDİA · 0 ÖLÇÜLEMEDİ) to Day-2 (October 19, 11:13), Reaper measured 58 methods: 47 CANLI · 7 AKSAK · 1 ÖLÜ · 3 İDDİA · 0 ÖLÇÜLEMEDİ (47/6/2/3/0 at 15:15).

3. Auditing 394 Citations Across 10 Models: Catching 25 Fabrications

In a separate bibliographic audit during the 24-question domain synthesis, citations collected from 10 external model configurations (voices S1–S10) were verified against Crossref REST API, PubMed/NCBI E-utilities, arXiv, and official registries (recorded in rapor/kivilcim/SEKTOR_MAKALESI_1018/reaper_kaynak.md and data/reaper_karne.json:85-135 (on disk, only kosucu/reaper_denetci.py exists as the local auditor script; citation verification runs directly against primary indexing APIs). Bibliographic items use the classes DOĞRULANDI · DOĞRULANAMADI · UYDURMA (Ağır / Hafif) · EZBER.

Across the 10 external voices, 5 voices (S1, S2, S3 Astra 38/38, S4 133/133, and S5 Sonnet 77/77) achieved zero fabrications, while Reaper disqualified 20 contaminated question-thesis responses across the remaining 5 voices (S6:3 · S7:6 · S8:3 · S9:3 · S10:5).

4. Falsifiability Gates, Spark's 67 Rounds & Shadow-Run Rejection (O-002)

Whereas citation auditing polices past evidence, the Falsifiability Gate (Düşer Testi) governs forward-looking architectural hypotheses. Operationalizing empirical falsifiability criteria, every proposition submitted to the bus must specify: THESIS · THEORY · SOURCE · COUNTER-THESIS · FALSIFIER.

Three quantitative records track this discipline:

• Spark (Kıvılcım) Multi-Voice Collision Ledger (data/kivilcim_karnesi.jsonl:1-73): Across 67 dialectical collision rounds (73 ledger lines), only 13 proposals passed unmodified (YES, raw 14), 44 were sharpened under critique (SHARPENED), and 3 were rejected (NO) (remaining 7 rounds: 2 withdrawn/low-value, 1 did not run, 1 unknown, 3 open). (Note: The 3-round convergence series 0.30 → 0.48 → 0.68 cited in earlier summaries lacks a raw computation log under data/ or rapor/ and is classified by Reaper as UNMEASURED / ÖLÇÜLEMEDİ (text-only record).)
• Shadow-Run Evaluation & Execution Rejection (bot/olgular.json:O-002): A falsifiability gate must block models that fail baseline comparisons even when they are deterministic. Across n = 168 locked shadow-run windows, the candidate local-model arm demonstrated 100% determinism, but achieved only 2% agreement with the live arm and lost to the copy-baseline (98.8%) by -80.5 points on criterion K5′ (“iyi çıkmadı”). Consequently, the falsifier gate tripped and execution authority was NOT opened.
• Falsified Hypothesis Memory (Anti-Amnesia · bot/olgular.json:O-004): The workspace maintains a permanent registry of 9 falsified hypotheses (6 refuted by empirical data, 3 rejected by human architectural review).

5. Live Telemetry & Evidence Card (File & Line Citations)

All auditing and falsifiability metrics are linked directly to live workspace files with data-kaynak attributes:

6. Frequently Asked Questions (FAQ)