FA-14356 / Numerics / Open access
Generalized crt: solution reconstruction · case 01
The exact generalized crt result violates the stated contract at solution reconstruction.
ROOT CAUSE
The solution reconstruction step uses a+k instead of a+m*k.
VERIFIED REPAIR
Use a+m*k at the solution reconstruction step.
Unsuccessful approach: The partial repair b+m*k still violates the solution reconstruction invariant.
Case contract
Input [a,m,b,n], positive moduli; return least nonnegative common residue and lcm modulus or None.
Why this case matters
Exact discrete arithmetic with observable algorithmic state; no floating point approximation is used.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
import itertools
from fractions import Fraction
N = 1
observations = []
def solve(x):
a,m,b,n=x
g=math.gcd(m,n)
if (b-a)%g != 0: return None
q=n//g
k=((b-a)//g*pow(m//g,-1,q))%q if q>1 else 0
period=m*(n//g)
r=a+k
return [r%period,period]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[([-3, 2, -2, 3], [1, 6]), ([-3, 1, -2, 2], [0, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-3, 1, -2, 1], [0, 1]), ([-3, 1, -1, 1], [0, 1]), ([-3, 1, 0, 1], [0, 1]), ([-3, 1, 1, 1], [0, 1])], [([-3, 2, -1, 3], [5, 6]), ([-2, 1, -3, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-1, 1, 0, 1], [0, 1]), ([-1, 1, 1, 1], [0, 1]), ([-1, 1, 2, 1], [0, 1]), ([-1, 1, 3, 1], [0, 1])], [([-3, 2, 1, 3], [1, 6]), ([-2, 1, 3, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([1, 1, 3, 1], [0, 1]), ([2, 1, -3, 1], [0, 1]), ([2, 1, -2, 1], [0, 1]), ([2, 1, -1, 1], [0, 1])], [([-3, 2, 2, 3], [5, 6]), ([-1, 1, 2, 2], [0, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-3, 1, -1, 2], [1, 2]), ([-3, 1, 0, 2], [0, 2]), ([-3, 1, 1, 2], [1, 2]), ([-3, 1, 2, 2], [0, 2])], [([-2, 2, -3, 3], [0, 6]), ([0, 1, 1, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-1, 1, 2, 2], [0, 2]), ([-1, 1, 3, 2], [1, 2]), ([0, 1, -3, 2], [1, 2]), ([0, 1, -2, 2], [0, 2])]]
for i, (args, expected) in enumerate(fixtures[N-1]):
check("explicit oracle %d" % i, solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| explicit oracle 0 | [5, 6] | [1, 6] | Failed |
| explicit oracle 1 | [0, 2] | [0, 2] | Passed |
| explicit oracle 2 | [0, 1] | [0, 1] | Passed |
| explicit oracle 3 | [3, 8] | [3, 8] | Passed |
| explicit oracle 4 | [0, 1] | [0, 1] | Passed |
| explicit oracle 5 | [0, 1] | [0, 1] | Passed |
| explicit oracle 6 | [0, 1] | [0, 1] | Passed |
| explicit oracle 7 | [0, 1] | [0, 1] | Passed |
SHA-256 / 81252e4783e49b720d07af628e3048d85d16112723d172e0bc4b90def4890045
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
import itertools
from fractions import Fraction
N = 1
observations = []
def solve(x):
a,m,b,n=x
g=math.gcd(m,n)
if (b-a)%g != 0: return None
q=n//g
k=((b-a)//g*pow(m//g,-1,q))%q if q>1 else 0
period=m*(n//g)
r=b+m*k
return [r%period,period]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[([-3, 2, -2, 3], [1, 6]), ([-3, 1, -2, 2], [0, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-3, 1, -2, 1], [0, 1]), ([-3, 1, -1, 1], [0, 1]), ([-3, 1, 0, 1], [0, 1]), ([-3, 1, 1, 1], [0, 1])], [([-3, 2, -1, 3], [5, 6]), ([-2, 1, -3, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-1, 1, 0, 1], [0, 1]), ([-1, 1, 1, 1], [0, 1]), ([-1, 1, 2, 1], [0, 1]), ([-1, 1, 3, 1], [0, 1])], [([-3, 2, 1, 3], [1, 6]), ([-2, 1, 3, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([1, 1, 3, 1], [0, 1]), ([2, 1, -3, 1], [0, 1]), ([2, 1, -2, 1], [0, 1]), ([2, 1, -1, 1], [0, 1])], [([-3, 2, 2, 3], [5, 6]), ([-1, 1, 2, 2], [0, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-3, 1, -1, 2], [1, 2]), ([-3, 1, 0, 2], [0, 2]), ([-3, 1, 1, 2], [1, 2]), ([-3, 1, 2, 2], [0, 2])], [([-2, 2, -3, 3], [0, 6]), ([0, 1, 1, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-1, 1, 2, 2], [0, 2]), ([-1, 1, 3, 2], [1, 2]), ([0, 1, -3, 2], [1, 2]), ([0, 1, -2, 2], [0, 2])]]
for i, (args, expected) in enumerate(fixtures[N-1]):
check("explicit oracle %d" % i, solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| explicit oracle 0 | [2, 6] | [1, 6] | Failed |
| explicit oracle 1 | [1, 2] | [0, 2] | Failed |
| explicit oracle 2 | [0, 1] | [0, 1] | Passed |
| explicit oracle 3 | [3, 8] | [3, 8] | Passed |
| explicit oracle 4 | [0, 1] | [0, 1] | Passed |
| explicit oracle 5 | [0, 1] | [0, 1] | Passed |
| explicit oracle 6 | [0, 1] | [0, 1] | Passed |
| explicit oracle 7 | [0, 1] | [0, 1] | Passed |
SHA-256 / 9469c5ddf0fcb447f0b8c529e46001df1f54b101255e410a9e5c216d7ffaba7d
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
import math
import itertools
from fractions import Fraction
N = 1
observations = []
def solve(x):
a,m,b,n=x
g=math.gcd(m,n)
if (b-a)%g != 0: return None
q=n//g
k=((b-a)//g*pow(m//g,-1,q))%q if q>1 else 0
period=m*(n//g)
r=a+m*k
return [r%period,period]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[([-3, 2, -2, 3], [1, 6]), ([-3, 1, -2, 2], [0, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-3, 1, -2, 1], [0, 1]), ([-3, 1, -1, 1], [0, 1]), ([-3, 1, 0, 1], [0, 1]), ([-3, 1, 1, 1], [0, 1])], [([-3, 2, -1, 3], [5, 6]), ([-2, 1, -3, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-1, 1, 0, 1], [0, 1]), ([-1, 1, 1, 1], [0, 1]), ([-1, 1, 2, 1], [0, 1]), ([-1, 1, 3, 1], [0, 1])], [([-3, 2, 1, 3], [1, 6]), ([-2, 1, 3, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([1, 1, 3, 1], [0, 1]), ([2, 1, -3, 1], [0, 1]), ([2, 1, -2, 1], [0, 1]), ([2, 1, -1, 1], [0, 1])], [([-3, 2, 2, 3], [5, 6]), ([-1, 1, 2, 2], [0, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-3, 1, -1, 2], [1, 2]), ([-3, 1, 0, 2], [0, 2]), ([-3, 1, 1, 2], [1, 2]), ([-3, 1, 2, 2], [0, 2])], [([-2, 2, -3, 3], [0, 6]), ([0, 1, 1, 2], [1, 2]), ([-3, 1, -3, 1], [0, 1]), ([3, 8, 3, 8], [3, 8]), ([-1, 1, 2, 2], [0, 2]), ([-1, 1, 3, 2], [1, 2]), ([0, 1, -3, 2], [1, 2]), ([0, 1, -2, 2], [0, 2])]]
for i, (args, expected) in enumerate(fixtures[N-1]):
check("explicit oracle %d" % i, solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| explicit oracle 0 | [1, 6] | [1, 6] | Passed |
| explicit oracle 1 | [0, 2] | [0, 2] | Passed |
| explicit oracle 2 | [0, 1] | [0, 1] | Passed |
| explicit oracle 3 | [3, 8] | [3, 8] | Passed |
| explicit oracle 4 | [0, 1] | [0, 1] | Passed |
| explicit oracle 5 | [0, 1] | [0, 1] | Passed |
| explicit oracle 6 | [0, 1] | [0, 1] | Passed |
| explicit oracle 7 | [0, 1] | [0, 1] | Passed |
SHA-256 / 03de13d2050c59b14c507cf128c01777ef6addfc43693066b2f4e570423cc1ed
Verification & scope
A deterministic bounded teaching model. Inputs are restricted to the explicit contract; this is not a production algebra library. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.
Observations recorded using Python 3.12.14 at 2026-09-29T14:39:16.040956+00:00.
Case digest / 57e21dfc6a156b227826fbb78d402f164c3276fe4cb166cb8f47ea5be45728ad