Recovered source transcript
1The Rhiannon Equation
2=====================
3
4SOURCE: Rhiannon equation: Recursive code repair blueprint.png
5SOURCE ID: libsrc-dc97ecb0df6e
6ORIGINAL SHA256: 43a9bb002d32b5e116eb94e56f14bc19cdfdb0444028d6b591e32f50c15c2a83
7REVIEW: 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.
8
9VISUAL REVIEW NOTES
10- The large objective, all four acceptance equalities, recurrence, eight variable definitions and both self-extension expressions were inspected.
11- 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.
12- The title and caption claim safe minimal fixes. The source records a constrained optimization design; tests and predicates require independent implementation and validation.
13
14MANUALLY INSPECTED FORMULAS
15
16Rhiannon constrained repair objective
17Image region: Central repair objective and constraint boxes
18P* = argmin_{P′} [ B(P′, D) + λ C(P′ − P) ]
19Legibility: Legible
20Editorial 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.
21Editorial 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.
22
23Rhiannon Compile acceptance condition
24Image region: Central repair objective and constraint boxes
25Compile(P′) = 1
26Legibility: Legible
27Editorial mathematical explanation: The poster uses a binary acceptance predicate requiring that the candidate compiles. It is one of four conditions restricting the repair search.
28Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate.
29
30Rhiannon TypeSafe acceptance condition
31Image region: Central repair objective and constraint boxes
32TypeSafe(P′) = 1
33Legibility: Legible
34Editorial 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.
35Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate.
36
37Rhiannon Tests acceptance condition
38Image region: Central repair objective and constraint boxes
39Tests(P′, D) = 1
40Legibility: Legible
41Editorial 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.
42Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate.
43
44Rhiannon Safety acceptance condition
45Image region: Central repair objective and constraint boxes
46Safety(P′) = 1
47Legibility: Legible
48Editorial 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.
49Editorial note: The poster does not supply the implementation or completeness guarantees of this predicate.
50
51Rhiannon repeated program repair
52Image region: Central repair objective and constraint boxes
53P_{t+1} = R(P_t, D_t)
54Legibility: Legible
55Editorial 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.
56Editorial note: An implementation needs termination, regression handling and an operational definition of R.
57
58Rhiannon current-program definition
59Image region: CORE VARIABLES panel
60P = current program / codebase
61Legibility: Legible
62Editorial mathematical explanation: P denotes the code before a repair is applied.
63
64Rhiannon candidate-program definition
65Image region: CORE VARIABLES panel
66P′ = candidate fixed program
67Legibility: Legible
68Editorial mathematical explanation: P′ is one proposed repair considered by the search.
69
70Rhiannon selected-program definition
71Image region: CORE VARIABLES panel
72P* = optimal corrected program
73Legibility: Legible
74Editorial mathematical explanation: The star labels an optimizer of the stated constrained objective, if such a candidate exists and is found.
75
76Rhiannon restraint-weight definition
77Image region: CORE VARIABLES panel
78λ = restraint weight
79Legibility: Legible
80Editorial mathematical explanation: A larger nonnegative λ makes disruptive changes more costly relative to residual bug loss.
81
82Rhiannon diagnostics definition
83Image region: CORE VARIABLES panel
84D = diagnostics, errors, test failures, logs, runtime signals
85Legibility: Legible
86Editorial mathematical explanation: D collects the evidence against which a candidate is assessed.
87
88Rhiannon bug-loss definition
89Image region: CORE VARIABLES panel
90B(P′, D) = bug / error loss
91Legibility: Legible
92Editorial mathematical explanation: B scores residual failure in candidate P′ relative to diagnostic evidence D.
93
94Rhiannon change-cost definition
95Image region: CORE VARIABLES panel
96C(P′ − P) = change cost
97Legibility: Legible
98Editorial 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.
99
100Rhiannon repair-operator definition
101Image region: CORE VARIABLES panel
102R = recursive code-fix operator
103Legibility: Legible
104Editorial mathematical explanation: R names the process that transforms program and diagnostics into the next candidate state.
105
106Rhiannon seven-stage self-extension sum
107Image region: Bottom SELF-EXTENSION strip, left expression
108R(S) = Σ_{k=1}^7 S_k(S_k(x)), k = 1…7
109Legibility: Legible
110Editorial 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.
111Editorial 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.
112
113Rhiannon seventh-stage self-composition
114Image region: Bottom SELF-EXTENSION strip, right expression
115RHIANNON = S_7(S_7(x))
116Legibility: Legible
117Editorial 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.
118Editorial note: S_7 must accept its own output for this composition to be well defined.
119
120RAW OCR READING AID — NOT A VERIFIED EQUATION TRANSCRIPT
121The 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.
122
123THE
124
125\
126
127“ RHIANNON EQUATION
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129— A UNIFIED FRAMEWORK coe SAFE RECURSIVE CODE REPAIR
130
131ae
132
133cayooate
134
135ats
136
137OPTIMAL REPAIR
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139Reo
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141SS
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143Lee
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145ke
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147re
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149a af
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151ls
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153=
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155ie |:
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157ee
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159Bs
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161ose
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163ran
164
165Residual failure against
166
167ee
168
169—
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171diagnostics, logs, or tests.
172
173Ls
174
175=
176
177pe
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179Pas
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1812. CHANGE COST C(P’-P)
182
183ee
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185se
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187oo
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189°
190
191°
192
193=
194
195><
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197x
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199c%
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201mgt
202
203How disruptive the repair
204
205ee
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207is relative to the
208
209{
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211original program.
212
213=
214
215y
216
2173. RESTRAINT A
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219P* = argmin [ Bip" D)+AC(P’ P)|
220
221SUBJECT TO
222
223</>
224
225Compile (P’)
226
227SMALLEST SAFE FIX
228
229Penalizes over-editing
230
231Choose the minimal correction
232
233and destructive rewrites.
234
235@
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237TypeSafe(P’)
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239that removes the bug while
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241Tests(P’, D)
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243preserving correctness and
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245coherence.
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247Ae )
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249SS
250
251The intelligence that
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253transforms broken code
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255intoa safe corrected program.
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257bes Prat = R(PDi)
258
259CORE VARIABLES
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261P= carrent program /
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263=!
264
265=
266
267P’ = candidate
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269P* = optimal corrected
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271codebase
272
273=
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275fixed program
276
277)
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279program
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281CY) A = restraint weight
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283R = recursive code-fix
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285D = diagnostics, errors, test
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287loss
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289B(P’, D) = bug/ error
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291failures, logs, runtime signals
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293ra
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295< C(P'=P) = change cost ®
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297operator
298
299(/ BROKEN PROGRAM
300
301DIAGNOSTICS
302
303CANDIDATE REPAIRS
304
305SAFETY / TEST FILTERS
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307OPTIMAL FIX
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3092
310
311oy
312
313OD
314
315|
316
317Flawed code with
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319Analyze failures, errors,
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321Generate multiple
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323Enforce compile validity,
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325Select the minimal safe fix
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327defects and risks.
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329logs, and runtime signals.
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331potential fixes.
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333type safety, tests, and
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335system safety.
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337that best reduces failure.
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339%
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341RHIANNON MINIMIZES FAILURE, MINIMIZES UNNECESSARY CHANGE
342
343Lf
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3454
346
347|]
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349AND ACCEPTS ONLY SAFE CORRECTIONS
350
351BOUND SELF-REPAIR FOR COMPILE VALIDITY, TYPE SAFETY, TEST SUCCESS, AND SYSTEM SAFETY.
352
353SELF-
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355Sil 7/
356
357_s
358
359EXTENSION
360
361(S) = SY Sy (Sk)
362
363RHIANNON = S,(S,(x))
364
365))
366
367=
368
369