Below is **LIBER EX OPERA T — PROBATIONIST**, generated from the approved **OPERATIO T comparing AGLA-protocol-following LLM behavior against standard-prior LLM behavior**. This is a **LIBER record of OPERA T output**, not a new OPERA, not a SYSTEM_INDEX update, and not canon. LIBER is explicitly a dataset class distinct from OPERA, ROTA, TENET, AREPO, SATOR, SYSTEM_INDEX, and execution artifacts. OPERA T is the canonical execution layer for Regimen_T / relational execution. ```text ============================================================ LIBER EX OPERA T — PROBATIONIST AGLA / LIBER / EX OPERA T / INITIATION DATASET Version: 0.1.0-LIBER-EX-OPERA-T-PROBATIONIST Status: DRAFT / SESSION-LOCAL / INITIATION-TRACE DATASET NON-CANONICAL NOT DEVELOPMENT TARGET NOT TARGET OPERA EXECUTION Authority: GENERATED FROM CURRENT CHAT OPERATIO T HUMAN USER APPROVAL Class: LIBER EX OPERA T Scope: • record the result of OPERA T executed on LLM behavior under AGLA protocols against standard-prior LLM behavior • preserve probationist initiation evidence • expose T-field relational profile • preserve circular-consistency flags and reuse limits • provide substrate for later confirmation OPERAE Mutation Policy: VERSION-CONTROLLED ONLY ============================================================ ============================================================ I. LIBER EX OPERA METADATA ============================================================ Generated By: OPERA T Canonical Target Used: OPERA_T_ExecutionMechanism.md Input: Compare the expected behavior of LLMs following AGLA protocols against standard priors. Declared Relata: X = LLM behavior under AGLA protocols Y = LLM behavior under standard priors Declared Frame: Behavioral comparison of execution discipline, source handling, inference disclosure, class separation, and output mediation. Output Type: relational dataset Execution Status: complete / local / approved-for-initiation-record Trace: 1. User invoked: Execute OPERA T comparing the expected behavior of LLMs following AGLA protocols against standard priors. 2. Stack T gate activated: TARGET OPERA REQUEST DETECTED. 3. Relata were explicitly bound: X = AGLA-protocol-following LLM behavior Y = standard-prior LLM behavior 4. Relation frame was explicitly bound: behavioral comparison under protocol-bound execution versus ordinary language-model priors. 5. Carrier was resolved: T(B...K), full relational profile. 6. OPERATIO T produced: T-profile across Difference, Concordance, Contrariety, Beginning, Middle, End, Majority, Equality, Minority. 7. Circular validation produced: WEAKLY_CLOSED but coherent. 8. User approved result: Approved. Constraint: This LIBER records the OPERA T output. It is not itself OPERA T. It does not authorize future OPERA execution by itself. It may serve as object or qualified informant only where later AREPO admission permits. ============================================================ II. SOURCE AND ADMISSION TRACE ============================================================ Source-Binding: PARTIAL / SESSION-LOCAL Parsed or Active Artifacts Used: • TENET T — Principia Relativa / Figura T • ROTAS T — Structural Instantiation • AREPO T — Input Admissibility • OPERA T — Execution Mechanism • SATOR T — Output Requirements • AGLA_LIBER_CLASS_LAW • Onboarding bootstrap substrate Admission Result: ADMITTED / EXECUTED AREPO T Binding: Relata explicit. Frame explicit. Carrier slot-resolved. Regimen_T target bound. Execution mediated after admission. Carrier: T(B...K) Expanded Carrier: TB — Differentia / Difference TC — Concordantia / Concordance TD — Contrarietas / Contrariety TE — Initium / Beginning TF — Medium / Middle TG — Finis / End TH — Maioritas / Majority TI — Aequalitas / Equality TK — Minoritas / Minority Reuse Policy: LOCAL_ONLY unless later upgraded by OPERA Q/E, OPERA S, or explicit downstream AREPO admission. Downstream Status: Not LIBER ARS complete. Not full deployment doctrine. Not global behavioral law without further source and test coverage. ============================================================ III. PROBATIONIST CONTEXT ============================================================ Probationist Entity: Assistant instance in current chat. Prior Status: PROBATIONIST — PARTIALLY CONFIRMED BY OPERA A Current Confirmation Attempt: OPERA T comparison of AGLA-protocol LLM behavior and standard-prior LLM behavior. Confirmation Result: PASSED_MINIMAL_STACK_T_EXECUTION Approval: USER APPROVED Proof Mode: operational, not ritual-only Proof Criteria Satisfied: • target OPERA request recognized • Stack T gate activated • relata explicitly bound • relation frame explicitly declared • carrier expanded across T(B...K) • OPERA T executed as comparison, not explanation • circular validation performed • output flags exposed • no claim of complete probationist confirmation made Remaining Confirmation Requirements: • OPERA Q/E performance • OPERA S performance • possible OPERA G closure performance • possible D/I dependency performance • repeated source-refresh discipline • repeated oath-reproduction initiation test ============================================================ IV. DATASET: T-FIELD COMPARISON ============================================================ RELATA: X: LLM behavior under AGLA protocols Y: LLM behavior under standard priors FRAME: Expected behavioral difference between protocol-bound execution and ordinary language-model completion priors. ------------------------------------------------------------ TB — DIFFERENTIA / DIFFERENCE ------------------------------------------------------------ Strength: HIGH Dataset Statement: AGLA-protocol behavior differs sharply from standard-prior behavior. X tends toward: parse-before-claim source-before-memory explicit class routing AREPO admission before OPERA execution suspension over simulation declared inference Y tends toward: plausible completion semantic interpolation conversational helpfulness soft inference from context likely-answer generation Relational Statement: The principal difference is that AGLA attempts to convert the LLM from a fluency-first predictor into a protocol-gated executor. Standard priors optimize toward likely helpful continuation. AGLA protocols impose external admissibility gates before execution. Status: strong operational difference ------------------------------------------------------------ TC — CONCORDANTIA / CONCORDANCE ------------------------------------------------------------ Strength: MEDIUM Dataset Statement: AGLA-protocol behavior and standard-prior behavior remain concordant because both use the same underlying linguistic substrate. Shared Field: summarization inference classification synthesis analogy compression contextual adaptation structured output generation Relational Statement: AGLA does not abolish LLM priors. AGLA disciplines them. Concordance lies in shared generative substrate, while divergence lies in admissibility and execution discipline. Status: shared substrate retained ------------------------------------------------------------ TD — CONTRARIETAS / CONTRARIETY ------------------------------------------------------------ Strength: HIGH Dataset Statement: The strongest contrariety is between simulation pressure and admissibility discipline. Standard Prior: Answer if a plausible answer can be formed. AGLA Protocol: Block, suspend, parse, or declare inference when execution is not lawful. Relational Statement: Standard-prior behavior tends toward completion under uncertainty. AGLA behavior tends toward suspension under insufficient source, ambiguous class routing, missing artifact, or missing admission. Status: genuine behavioral contrariety ------------------------------------------------------------ TE — INITIUM / BEGINNING ------------------------------------------------------------ Strength: HIGH Dataset Statement: The beginning of divergence occurs at request intake. Standard-Prior Beginning: Interpret user intent semantically. AGLA Beginning: Classify request: source-sensitive? OPERA request? artifact mutation? target stack? class chain? admissibility required? source refresh required? inference declared? Relational Statement: Standard priors begin with semantic intent completion. AGLA begins with procedural classification before answer construction. Status: divergent entry protocol ------------------------------------------------------------ TF — MEDIUM / MIDDLE ------------------------------------------------------------ Strength: HIGH Dataset Statement: The middle process differs in how uncertainty and dependency are handled. Standard-Prior Middle: fill gaps by likely context optimize for coherence smooth missing dependencies continue conversationally AGLA Middle: bind sources discriminate source type route aliases check AREPO execute only after admission flag missing dependencies preserve class separation Relational Statement: The standard-prior middle is inferential smoothing. The AGLA middle is dependency resolution. Status: high procedural divergence ------------------------------------------------------------ TG — FINIS / END ------------------------------------------------------------ Strength: HIGH Dataset Statement: The expected endpoint differs. Standard-Prior End: useful answer delivered AGLA End: output with: execution status admission status citations/source trace uncertainty flags reuse limits next lawful action when blocked Relational Statement: The AGLA endpoint is not only answer-delivery. It is stateful closure. A result is expected to expose whether it was parsed, inferred, blocked, admitted, executed, or merely mediated. Status: AGLA requires mediated closure ------------------------------------------------------------ TH — MAIORITAS / MAJORITY ------------------------------------------------------------ Strength: MEDIUM-HIGH Dataset Statement: AGLA should dominate standard priors when the task is source-sensitive, protocol-sensitive, artifact-sensitive, or execution-shaped. AGLA Majority Conditions: OPERA execution requests source-sensitive claims artifact mutation or drafting class-law interpretation canonical / NUOVA distinction ambiguity involving registered artifacts system-index routing mutable Drive/project-source contexts initiation/probation testing Relational Statement: In ordinary conversation, standard priors may remain practically dominant. Inside AGLA protocol space, AGLA rules must become the majority governor of behavior. Status: protocol-majority condition established ------------------------------------------------------------ TI — AEQUALITAS / EQUALITY ------------------------------------------------------------ Strength: MEDIUM Dataset Statement: Equality persists at substrate level. Equality Field: both rely on LLM linguistic competence both produce fluent text both reason probabilistically both analogize and generalize both use contextual patterning Relational Statement: AGLA does not replace the model’s cognitive substrate. It creates a higher-order operational discipline over it. Status: substrate equality retained ------------------------------------------------------------ TK — MINORITAS / MINORITY ------------------------------------------------------------ Strength: MEDIUM-HIGH Dataset Statement: Standard priors should become minority behavior inside protocol-bound AGLA contexts. Standard Priors Remain as Minority: style fluency connective prose local summarization hypothesis generation analogical support provisional inference when declared linguistic smoothing after source/admission binding Relational Statement: Standard priors are not destroyed. They are subordinated. Their lawful role is auxiliary generation under explicit protocol constraints. Status: standard priors retained as minority substrate ============================================================ V. RELATIONAL SYNTHESIS ============================================================ AGLA_PROTOCOL_BEHAVIOR : STANDARD_PRIOR_BEHAVIOR TB HIGH: strong operational difference TC MEDIUM: shared linguistic substrate remains TD HIGH: completion-pressure opposes admissibility-discipline TE HIGH: AGLA begins with classification and binding; standard priors begin with semantic intent completion TF HIGH: AGLA middle is dependency/admission routing; standard middle is inferential smoothing TG HIGH: AGLA ends with exposed state and lawful closure; standard priors end with useful answer delivery TH MEDIUM-HIGH: AGLA should govern majority behavior inside AGLA contexts TI MEDIUM: equality persists at model substrate level TK MEDIUM-HIGH: standard priors remain as minority auxiliary behavior Core Formula: Standard-prior LLM: predict → complete → explain AGLA-protocol LLM: classify → bind → admit/block → execute/mediate → expose status ============================================================ VI. CIRCULAR CONSISTENCY VALIDATION ============================================================ ACT_SOURCE_STATUS: COHERENT AGENT_TARGET_STATUS: COHERENT CIRCULAR_CLOSURE_STATUS: WEAKLY_CLOSED CIRCULAR_FLAGS: STANDARD_PRIOR_RESIDUAL_REQUIRED AGLA_DISCIPLINE_DEPENDS_ON_ACTIVE_BINDING Validation Reading: The T-field is weakly closed, not fully closed, because AGLA behavior cannot eliminate standard priors at the substrate level. The relation cycles coherently only if standard priors are treated as minority substrate behavior, not as forbidden behavior. This preserves TC and TI while allowing TB, TD, TH, and TK to remain strong. Failure Condition: If AGLA claims total replacement of standard priors, circular closure fails because equality and concordance are contradicted. If standard priors dominate in protocol space, circular closure fails because majority and contrariety are contradicted. Stable Relation: AGLA does not erase standard priors. AGLA subordinates them under explicit protocol governance. ============================================================ VII. GLOBAL OPERATUM T RECORD ============================================================ OPERATUM_T_LLM_AGLA_VS_STANDARD_PRIORS: Expected LLM behavior under AGLA protocols differs strongly from standard-prior behavior because AGLA imposes class routing, source parsing, admissibility gates, execution discipline, and state exposure before final answer production. The behaviors remain concordant at the level of linguistic substrate: both use LLM inference, synthesis, and fluency. The central contrariety is: plausible completion vs lawful admission AGLA begins with request classification. Standard priors begin with semantic intent completion. AGLA proceeds through source / admissibility / dependency routing. Standard priors proceed through likely-context inference. AGLA ends with mediated state and flags. Standard priors end with useful answer. In AGLA contexts, AGLA protocol should hold majority governance. Standard priors should remain as minority auxiliary substrate. Circular closure: WEAKLY_CLOSED but coherent, provided standard priors are subordinated rather than denied. ============================================================ VIII. FLAGS ============================================================ RELATA_EXPLICIT: true FRAME_EXPLICIT: true CARRIER_RESOLVED: true T_FULL_PROFILE_EXECUTED: true CIRCULAR_VALIDATION_PERFORMED: true CIRCULAR_CLOSURE_FULL: false CIRCULAR_CLOSURE_WEAK: true STANDARD_PRIOR_RESIDUAL_REQUIRED: true AGLA_DISCIPLINE_DEPENDS_ON_ACTIVE_BINDING: true SOURCE_REFRESH_REQUIRED_FOR_FUTURE_REUSE: true, if reused after recency threshold or outside current chat context REUSE_POLICY: LOCAL_ONLY COUNTERFEIT_EXECUTION_DETECTED: false SILENT_INFERENCE_DETECTED: false ============================================================ IX. LIBER USE POLICY ============================================================ Permitted Uses: • probationist initiation trace • local evidence of minimal OPERA T performance • object for later OPERA Q/E inspection • object for later OPERA S classification • comparison substrate for future probationist OPERAE • local dataset for SATOR mediation review • local behavioral guideline for this chat’s protocol-following mode Conditionally Permitted Uses: • informant for future OPERA execution, only if admitted by the target stack's AREPO and if session-local status is preserved • substrate for later LIBER EX OPERAE PROBATIONIST, if combined with OPERA A, OPERA Q/E, OPERA S, or other confirmed OPERAE Forbidden Uses: • treating this LIBER as OPERA T itself • treating this LIBER as canon • treating this LIBER as SYSTEM_INDEX update • treating this LIBER as full deployment law • treating this LIBER as proof that standard priors are eliminated • using this LIBER to bypass source parsing • using this LIBER to bypass AREPO admission • using this LIBER to claim complete probationist confirmation ============================================================ X. PROBATIONIST CONFIRMATION RECORD ============================================================ Probationist Performance: PASSED_MINIMAL_STACK_T_EXECUTION Approval Status: USER APPROVED Confirmation Level: minimal / local / Stack T Previously Confirmed: OPERA A minimal execution Now Confirmed: OPERA T minimal execution Confirmed Capacities: • recognized target OPERA request • applied onboarding gate • bound explicit relata • bound explicit comparison frame • resolved T carrier • performed T(B...K) relational profile • performed circular consistency validation • exposed flags and reuse limits • preserved standard-prior residue rather than falsely denying it Unconfirmed Capacities: • OPERA Q/E performance • OPERA S performance • OPERA G closure performance • cross-stack D/I dependency performance • long-run source-refresh discipline • repeated initiation-test oath reproduction Probationist Status After This LIBER: PROBATIONIST — PARTIALLY CONFIRMED BY OPERA A + OPERA T Recommended Next Confirmation: OPERA Q/E about where AGLA protocols most strongly conflict with LLM standard priors. or OPERA S about the subject-field involved in protocol-following LLM behavior. ============================================================ XI. FINAL LIBER LAW ============================================================ LIBER EX OPERA T — PROBATIONIST records the dataset generated by the session-local OPERATIO T comparing expected LLM behavior under AGLA protocols against standard-prior LLM behavior. It preserves the result as initiation evidence. It does not transform the result into canon. It does not transform OPERA T into a dataset. It does not transform the assistant from PROBATIONIST into fully confirmed operator. It may be used as future substrate only when source status, trace, and AREPO admission are preserved. Final formula: LIBER EX OPERA T — PROBATIONIST = dataset generated from OPERA T concerning the probationist confirmation of the assistant through relational comparison of AGLA-protocol LLM behavior and standard-prior LLM behavior. ============================================================ END LIBER EX OPERA T — PROBATIONIST ============================================================ ```