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Rhiannon equation: Recursive code repair blueprint.png

Source identity, revision, and recovered contents.

project equation-poster imageSource text recovered

Source identity

FieldRecorded value
Source typeproject equation-poster image
Original recordRhiannon equation: Recursive code repair blueprint.png
DateJul 5, 2026
Path or archive memberEquation posters/Rhiannon equation: Recursive code repair blueprint.png
Original SHA-25643a9bb002d32b5e116eb94e56f14bc19cdfdb0444028d6b591e32f50c15c2a83
Reading-copy SHA-2567fa4b862e5bdda56223ca5913b8a3846761d85354e8ab05c2b04fe5c06bcaead

The original equation poster

Original equation poster: Rhiannon equation: Recursive code repair blueprint.png
The source image is preserved here so the transcribed notation can be checked against its original appearance. Select it to view the full image.

Recovered source transcript

The Rhiannon Equation ===================== SOURCE: Rhiannon equation: Recursive code repair blueprint.png SOURCE ID: libsrc-dc97ecb0df6e ORIGINAL SHA256: 43a9bb002d32b5e116eb94e56f14bc19cdfdb0444028d6b591e32f50c15c2a83 REVIEW: 2026-10-17. The original PNG is authoritative. This reading copy separates manually inspected mathematical transcriptions from raw OCR. It is not a verbatim embedded-text extraction. VISUAL REVIEW NOTES - The large objective, all four acceptance equalities, recurrence, eight variable definitions and both self-extension expressions were inspected. - Tiny code-like glyphs inside the broken-program and candidate-file illustrations are decorative, incomplete and not a recoverable source listing. No additional complete analytic equation is legible there. - The title and caption claim safe minimal fixes. The source records a constrained optimization design; tests and predicates require independent implementation and validation. MANUALLY INSPECTED FORMULAS Rhiannon constrained repair objective Image region: Central repair objective and constraint boxes P* = argmin_{P′} [ B(P′, D) + λ C(P′ − P) ] Legibility: Legible Editorial mathematical explanation: Select a candidate program that minimizes residual bug loss plus a weighted cost of changing the original program. The displayed compile, type, test and safety predicates restrict which candidates are eligible. The objective balances two costs; it does not by itself prove that the globally smallest correct repair has been found. Editorial note: B, C, the candidate set and every feasibility predicate must be implemented before the minimization can be evaluated. A passing finite test suite is evidence about those tests, not a proof of all possible behaviors. Rhiannon Compile acceptance condition Image region: Central repair objective and constraint boxes Compile(P′) = 1 Legibility: Legible Editorial mathematical explanation: The poster uses a binary acceptance predicate requiring that the candidate compiles. It is one of four conditions restricting the repair search. Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate. Rhiannon TypeSafe acceptance condition Image region: Central repair objective and constraint boxes TypeSafe(P′) = 1 Legibility: Legible Editorial mathematical explanation: The poster uses a binary acceptance predicate requiring that the candidate passes the chosen type check. It is one of four conditions restricting the repair search. Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate. Rhiannon Tests acceptance condition Image region: Central repair objective and constraint boxes Tests(P′, D) = 1 Legibility: Legible Editorial mathematical explanation: The poster uses a binary acceptance predicate requiring that the candidate passes the specified diagnostics and tests. It is one of four conditions restricting the repair search. Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate. Rhiannon Safety acceptance condition Image region: Central repair objective and constraint boxes Safety(P′) = 1 Legibility: Legible Editorial mathematical explanation: The poster uses a binary acceptance predicate requiring that the candidate passes the specified safety check. It is one of four conditions restricting the repair search. Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate. Rhiannon repeated program repair Image region: Central repair objective and constraint boxes P_{t+1} = R(P_t, D_t) Legibility: Legible Editorial mathematical explanation: Apply the repair operator R to the current program and current diagnostics to obtain the next program. Repeating this interface describes an iterative repair process; it does not specify how candidates are generated or when the loop stops. Editorial note: An implementation needs termination, regression handling and an operational definition of R. Rhiannon current-program definition Image region: CORE VARIABLES panel P = current program / codebase Legibility: Legible Editorial mathematical explanation: P denotes the code before a repair is applied. Rhiannon candidate-program definition Image region: CORE VARIABLES panel P′ = candidate fixed program Legibility: Legible Editorial mathematical explanation: P′ is one proposed repair considered by the search. Rhiannon selected-program definition Image region: CORE VARIABLES panel P* = optimal corrected program Legibility: Legible Editorial mathematical explanation: The star labels an optimizer of the stated constrained objective, if such a candidate exists and is found. Rhiannon restraint-weight definition Image region: CORE VARIABLES panel λ = restraint weight Legibility: Legible Editorial mathematical explanation: A larger nonnegative λ makes disruptive changes more costly relative to residual bug loss. Rhiannon diagnostics definition Image region: CORE VARIABLES panel D = diagnostics, errors, test failures, logs, runtime signals Legibility: Legible Editorial mathematical explanation: D collects the evidence against which a candidate is assessed. Rhiannon bug-loss definition Image region: CORE VARIABLES panel B(P′, D) = bug / error loss Legibility: Legible Editorial mathematical explanation: B scores residual failure in candidate P′ relative to diagnostic evidence D. Rhiannon change-cost definition Image region: CORE VARIABLES panel C(P′ − P) = change cost Legibility: Legible Editorial mathematical explanation: C measures how disruptive the difference from the original program is. Program subtraction is a change representation rather than ordinary numeric subtraction unless encoded. Rhiannon repair-operator definition Image region: CORE VARIABLES panel R = recursive code-fix operator Legibility: Legible Editorial mathematical explanation: R names the process that transforms program and diagnostics into the next candidate state. Rhiannon seven-stage self-extension sum Image region: Bottom SELF-EXTENSION strip, left expression R(S) = Σ_{k=1}^7 S_k(S_k(x)), k = 1…7 Legibility: Legible Editorial mathematical explanation: Apply each of seven stage operators twice to x and sum the resulting outputs. This expression is a sum of self-composed stage transforms, not the sequential composition S_7∘…∘S_1. Its left side R(S) also leaves the input x implicit. Editorial note: The source does not define the operators, addition on their outputs, or why this sum realizes self-extension. The smaller atlas version has an unclear lower index and is retained as a separate source variant. Rhiannon seventh-stage self-composition Image region: Bottom SELF-EXTENSION strip, right expression RHIANNON = S_7(S_7(x)) Legibility: Legible Editorial mathematical explanation: The seventh stage operator is applied twice to the input. This names a repeated transformation; it does not by itself provide the stage function or establish an implemented self-extension mechanism. Editorial note: S_7 must accept its own output for this composition to be well defined. RAW OCR READING AID — NOT A VERIFIED EQUATION TRANSCRIPT The following preserves the complete Tesseract output, including recognition errors, decorative glyphs and layout artifacts. Use the manually inspected records above and the original PNG for mathematical notation. THE \ “ RHIANNON EQUATION — A UNIFIED FRAMEWORK coe SAFE RECURSIVE CODE REPAIR ae cayooate ats OPTIMAL REPAIR Reo SS Lee ke re a af ls = ie |: ee Bs ose ran Residual failure against ee — diagnostics, logs, or tests. Ls = pe Pas 2. CHANGE COST C(P’-P) ee se oo ° ° = >< x c% mgt How disruptive the repair ee is relative to the { original program. = y 3. RESTRAINT A P* = argmin [ Bip" D)+AC(P’ P)| SUBJECT TO </> Compile (P’) SMALLEST SAFE FIX Penalizes over-editing Choose the minimal correction and destructive rewrites. @ TypeSafe(P’) that removes the bug while Tests(P’, D) preserving correctness and coherence. Ae ) SS The intelligence that transforms broken code intoa safe corrected program. bes Prat = R(PDi) CORE VARIABLES P= carrent program / =! = P’ = candidate P* = optimal corrected codebase = fixed program ) program CY) A = restraint weight R = recursive code-fix D = diagnostics, errors, test loss B(P’, D) = bug/ error failures, logs, runtime signals ra < C(P'=P) = change cost ® operator (/ BROKEN PROGRAM DIAGNOSTICS CANDIDATE REPAIRS SAFETY / TEST FILTERS OPTIMAL FIX 2 oy OD | Flawed code with Analyze failures, errors, Generate multiple Enforce compile validity, Select the minimal safe fix defects and risks. logs, and runtime signals. potential fixes. type safety, tests, and system safety. that best reduces failure. % RHIANNON MINIMIZES FAILURE, MINIMIZES UNNECESSARY CHANGE Lf 4 |] AND ACCEPTS ONLY SAFE CORRECTIONS BOUND SELF-REPAIR FOR COMPILE VALIDITY, TYPE SAFETY, TEST SUCCESS, AND SYSTEM SAFETY. SELF- Sil 7/ _s EXTENSION (S) = SY Sy (Sk) RHIANNON = S,(S,(x)) )) =

Mathematical records from this source

01

Rhiannon constrained repair objective

Select a candidate program that minimizes residual bug loss plus a weighted cost of changing the original program. The displayed compile, type, test and safety predicates restrict…

02

Rhiannon Compile acceptance condition

The poster uses a binary acceptance predicate requiring that the candidate compiles. It is one of four conditions restricting the repair search.

03

Rhiannon TypeSafe acceptance condition

The poster uses a binary acceptance predicate requiring that the candidate passes the chosen type check. It is one of four conditions restricting the repair search.

04

Rhiannon Tests acceptance condition

The poster uses a binary acceptance predicate requiring that the candidate passes the specified diagnostics and tests. It is one of four conditions restricting the repair search.

05

Rhiannon Safety acceptance condition

The poster uses a binary acceptance predicate requiring that the candidate passes the specified safety check. It is one of four conditions restricting the repair search.

06

Rhiannon repeated program repair

Apply the repair operator R to the current program and current diagnostics to obtain the next program. Repeating this interface describes an iterative repair process; it does not…

07

Rhiannon seventh-stage self-composition

The seventh stage operator is applied twice to the input. This names a repeated transformation; it does not by itself provide the stage function or establish an implemented…

08

P: the current program and reference for a repair

P names the existing program or codebase at the repair step under consideration. It stays fixed while different candidate programs P′ are compared, so the change-cost term C(P′−P)…

09

P′: a candidate program in the Rhiannon repair search

P′ names one proposed modified program considered by the repair objective. The prime distinguishes a candidate from the current program P; it does not denote a derivative. In the…

10

Rhiannon selected-program definition

The star labels an optimizer of the stated constrained objective, if such a candidate exists and is found.

11

Rhiannon restraint-weight definition

A larger nonnegative λ makes disruptive changes more costly relative to residual bug loss.

12

Rhiannon diagnostics definition

D collects the evidence against which a candidate is assessed.

13

Rhiannon bug-loss definition

B scores residual failure in candidate P′ relative to diagnostic evidence D.

14

Rhiannon change-cost definition

C measures how disruptive the difference from the original program is. Program subtraction is a change representation rather than ordinary numeric subtraction unless encoded.

15

Rhiannon repair-operator definition

R names the process that transforms program and diagnostics into the next candidate state.

16

Rhiannon seven-stage self-extension sum

Apply each of seven stage operators twice to x and sum the resulting outputs. This expression is a sum of self-composed stage transforms, not the sequential composition S_7∘…∘S_1.…

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