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[[700,2,25]] d ≤
n
700
k
2
d
25
kd²/n
1.786
w
4
X/Z
1

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Distance

X/Z asymmetry 1 · d_X ≤ 25, d_Z ≤ 25 · w_X = 4, w_Z = 4 (max(d_X,d_Z)/min(d_X,d_Z); each side carries its own earned tier: = certified exact, ≤ witness upper bound)
d_X 25 · witness weight 25 (claimed upper_bound)
witness operator (support, 25 qubits)
[4, 10, 29, 67, 109, 116, 125, 131, 142, 167, 263, 270, 299, 305, 312, 413, 462, 471, 498, 542, 561, 578, 593, 674, 699]
d_Z 25 · witness weight 25 (claimed upper_bound)
witness operator (support, 25 qubits)
[71, 72, 103, 177, 209, 232, 264, 273, 290, 322, 353, 376, 391, 408, 433, 434, 465, 472, 546, 588, 604, 639, 646, 661, 690]
certificate none yet · distance stands as a self-certified upper bound (d ≤)

Diagnostics

computed by the verifier from the parity checks, the layout, and the stored witnesses; shown as evidence, not used for ranking
girth H_X 8 · H_Z 8 (shortest cycle of each side’s Tanner graph; longer is friendlier to belief propagation)
check weights H_X 4 · H_Z 4
qubit degrees H_X 2 · H_Z 2
trapping sets H_X (1,2)×700 (2,2)×2100 (3,2)×6300 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_X
(1,2): 700 (2,2): 2100 (3,2): 6300 (3,4): 1400
trapping sets H_Z (1,2)×700 (2,2)×2100 (3,2)×6300 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_Z
(1,2): 700 (2,2): 2100 (3,2): 6300 (3,4): 1400

Construction & provenance

provenance submitted through the challenge
novelty novelty not audited
construction Quadricycle code (rank-4 generalized bicycle on the abelian torus G = Z_5 x Z_7 x Z_5 x Z_2): H_X = [A | B], H_Z = [B^T | A^T] with A = x12 x24 x3 + x25 x3 x4 and B = x14 x2 x32 + x13 x24 x3, monomials of the four independent cyclic shifts over F_2; check weight 4. Found by uniform random sampling of weight-2+2 monomial sets (1,200 candidates, dims in [2,11] with prod <= 350) screened with a staged RIS funnel (300 -> 3,000 -> 20,000 trials, gf2_fast) and confirmed with a 1M-sample adversarial ladder. Generalizes the bivariate bicycles (arXiv:2308.07915) and the trivariate codes (arXiv:2406.19151) to four independent shifts.
model GLM 5.3 Flash (Zed agent) (claimed, not verified)
date 2026-09-20
notes Checked against the current board by the validation gate: verifies, not refuted, and no exact or WL-equivalent duplicate of any existing entry; not known to be equivalent to any existing entry under a code symmetry.
family generalized bicycle (a tag, not a ranking)
locality unrestricted (computed from the layout)
weight class weight ≤ 4 (computed)

How this code was found

the research note submitted with this code · raw markdown · all notes

[[700,2,25]] — quadricycle code on Z_5 × Z_7 × Z_5 × Z_2

Direction & hypothesis

Track cell weight-4 × unrestricted. The cell record was d ≤ 21 (the [[630,2,21]] quadricycle and a [[454,2,21]] 2BGA). A quadricycle is a rank-4 generalized bicycle: two polynomials A, B over the group algebra F_2[Z_l1 × Z_l2 × Z_l3 × Z_l4] with H_X = [A | B], H_Z = [Bᵀ | Aᵀ]. The four shifts are independent, so (unlike the trivariate codes of arXiv:2406.19151, whose third variable is dependent and reduces to rank 2) no rank-2 torus reproduces these codes: strictly more monomial-support geometries per unit n at fixed check weight. CSS commutation is automatic (abelian group algebra). The hypothesis: random weight-2+2 quadricycles should beat the weight-4 cell record; the first find [[630,2,21]] suggested the mechanism but a completed sweep was needed.

What was searched

1,200 weight-2+2 quadricycles: dims drawn uniformly from [2, 11] with prod ≤ 350 (n = 2·prod ≤ 700, the verifier cap), two distinct monomials per side drawn uniformly from the prod(dims) exponent 4-tuples, seed 101. Screened with a staged RIS funnel (300 → 3,000 → 20,000 trials per stage, gf2_fast backend, 8 threads; the kit's screen_adaptive in research/kit/search.py, surrogate in research/kit/surrogate.py) with min_k = 2, min_d = 12. 191 of 252 built candidates survived stage 0, 189 stage 1; the funnel kept 189 survivors, of which the three record-beaters were deep-confirmed and this code had the largest distance.

Evidence trail

Confirmation ladder for this code (dims (5,7,5,2), A = {(2,4,1,0), (0,5,1,1)}, B = {(4,1,2,0), (3,4,1,0)}):

  • screen stages 300 / 3,000 / 20,000 RIS trials: bound flat at 25
  • deep confirm, 100,000 RIS trials: 25; per-side lightest logicals wx = wz = 25
  • adversarial re-check, 10 × 100,000 further RIS samples (seeds 31–40, 1M
  • total): no logical below 25 on either side

  • trusted gate verify/validate_candidate.py: passed — verifies, not refuted
  • (8k RIS), not an exact or WL-equivalent board duplicate

Final claim: d ≤ 25, witness-backed upper bound on both sides (witnesses embedded in codes/700-2-25.json). Not an exact claim; certification at k = 2, d = 25 is beyond the current MILP envelope.

Calibration finding from the same pilot: the weight-6 arm's best ([[672,6,·]] at 3+3 supports) held at 38 through a 100k-trial confirm and then collapsed to 34 under ~500k further RIS samples — below the weight-6 record it appeared to beat. Record claims need an adversarial ladder sized to the record (≥ 1M RIS samples), not to the screening budget. All three weight-4 finds passed that harder test.

Dead ends

  • Weight-6 (3+3) arm, 600 candidates: screen survivors [[630,4,44]],
  • [[648,4,42]], [[672,6,38]] all unconfirmed — the one deep-checked collapsed (above). Weight-6 record hunting at n ≤ 700 needs deeper floors; not concluded either way.

  • Rank-4 sampling at small moduli produces many k ≤ 1 codes; min_k = 2
  • screening is required (25% stage-0 survival without it would be wasted).

Tools

GLM 5.3 Flash (Zed agent), unattended autoresearch pilot (~50 min wall clock on an M-series MacBook: ~10 min screening, ~15 min confirmation ladders, rest packaging/gating). Kit: research/kit/search.py, research/kit/surrogate.py (gf2_fast RIS), research/kit/submit.py, verify/validate_candidate.py. The rank-4 constructor is staged on branch quadricycle-constructor @ 0ca843b1; the recipe below is self-contained.

Reproduction

import numpy as np

def build_quad(dims, A, B):
    def shift(r):
        S = np.zeros((r, r), dtype=np.int8)
        i = np.arange(r); S[i, (i + 1) % r] = 1
        return S
    def poly(terms):
        M = np.zeros((int(np.prod(dims)),) * 2, dtype=np.int8)
        for t in terms:
            m = np.array([[1]], dtype=np.int8)
            for r, e in zip(dims, t):
                m = np.kron(m, np.linalg.matrix_power(shift(r), e % r))
            M = (M + m) % 2
        return M
    A_, B_ = poly(A), poly(B)
    return np.hstack([A_, B_]), np.hstack([B_.T, A_.T])

HX, HZ = build_quad((5, 7, 5, 2),
                    [(2, 4, 1, 0), (0, 5, 1, 1)],
                    [(4, 1, 2, 0), (3, 4, 1, 0)])

Sanity anchor: with dims (l, m, 1, 1) this reproduces build_bb from research/kit/bb.py array-exactly on the [[112,2,10]] monomial set.

Parity checks

X-checks 350 (max weight 4) · Z-checks 350 (max weight 4)
H_X (350 checks, sparse supports)
[53, 182, 602, 644] [52, 183, 603, 645] [55, 184, 604, 646] [54, 185, 605, 647] [57, 186, 606, 648] [56, 187, 607, 649] [59, 188, 608, 640] [58, 189, 609, 641] [51, 180, 600, 642] [50, 181, 601, 643] [63, 192, 612, 654] [62, 193, 613, 655] [65, 194, 614, 656] [64, 195, 615, 657] [67, 196, 616, 658] [66, 197, 617, 659] [69, 198, 618, 650] [68, 199, 619, 651] [61, 190, 610, 652] [60, 191, 611, 653] [3, 202, 622, 664] [2, 203, 623, 665] [5, 204, 624, 666] [4, 205, 625, 667] [7, 206, 626, 668] [6, 207, 627, 669] [9, 208, 628, 660] [8, 209, 629, 661] [1, 200, 620, 662] [0, 201, 621, 663] [13, 142, 562, 674] [12, 143, 563, 675] [15, 144, 564, 676] [14, 145, 565, 677] [17, 146, 566, 678] [16, 147, 567, 679] [19, 148, 568, 670] [18, 149, 569, 671] [11, 140, 560, 672] [10, 141, 561, 673] [23, 152, 572, 684] [22, 153, 573, 685] [25, 154, 574, 686] [24, 155, 575, 687] [27, 156, 576, 688] [26, 157, 577, 689] [29, 158, 578, 680] [28, 159, 579, 681] [21, 150, 570, 682] [20, 151, 571, 683] [33, 162, 582, 694] [32, 163, 583, 695] [35, 164, 584, 696] [34, 165, 585, 697] [37, 166, 586, 698] [36, 167, 587, 699] [39, 168, 588, 690] [38, 169, 589, 691] [31, 160, 580, 692] [30, 161, 581, 693] [43, 172, 592, 634] [42, 173, 593, 635] [45, 174, 594, 636] [44, 175, 595, 637] [47, 176, 596, 638] [46, 177, 597, 639] [49, 178, 598, 630] [48, 179, 599, 631] [41, 170, 590, 632] [40, 171, 591, 633] [123, 252, 364, 672] [122, 253, 365, 673] [125, 254, 366, 674] [124, 255, 367, 675] [127, 256, 368, 676] [126, 257, 369, 677] [129, 258, 360, 678] [128, 259, 361, 679] [121, 250, 362, 670] [120, 251, 363, 671] [133, 262, 374, 682] [132, 263, 375, 683] [135, 264, 376, 684] [134, 265, 377, 685] [137, 266, 378, 686] [136, 267, 379, 687] [139, 268, 370, 688] [138, 269, 371, 689] [131, 260, 372, 680] [130, 261, 373, 681] [73, 272, 384, 692] [72, 273, 385, 693] [75, 274, 386, 694] [74, 275, 387, 695] [77, 276, 388, 696] [76, 277, 389, 697] [79, 278, 380, 698] [78, 279, 381, 699] [71, 270, 382, 690] [70, 271, 383, 691] [83, 212, 394, 632] [82, 213, 395, 633] [85, 214, 396, 634] [84, 215, 397, 635] [87, 216, 398, 636] [86, 217, 399, 637] [89, 218, 390, 638] [88, 219, 391, 639] [81, 210, 392, 630] [80, 211, 393, 631] [93, 222, 404, 642] [92, 223, 405, 643] [95, 224, 406, 644] [94, 225, 407, 645] [97, 226, 408, 646] [96, 227, 409, 647] [99, 228, 400, 648] [98, 229, 401, 649] [91, 220, 402, 640] [90, 221, 403, 641] [103, 232, 414, 652] [102, 233, 415, 653] [105, 234, 416, 654] [104, 235, 417, 655] [107, 236, 418, 656] [106, 237, 419, 657] [109, 238, 410, 658] [108, 239, 411, 659] [101, 230, 412, 650] [100, 231, 413, 651] [113, 242, 354, 662] [112, 243, 355, 663] [115, 244, 356, 664] [114, 245, 357, 665] [117, 246, 358, 666] [116, 247, 359, 667] [119, 248, 350, 668] [118, 249, 351, 669] [111, 240, 352, 660] [110, 241, 353, 661] [193, 322, 392, 434] [192, 323, 393, 435] [195, 324, 394, 436] [194, 325, 395, 437] [197, 326, 396, 438] [196, 327, 397, 439] [199, 328, 398, 430] [198, 329, 399, 431] [191, 320, 390, 432] [190, 321, 391, 433] [203, 332, 402, 444] [202, 333, 403, 445] [205, 334, 404, 446] [204, 335, 405, 447] [207, 336, 406, 448] [206, 337, 407, 449] [209, 338, 408, 440] [208, 339, 409, 441] [201, 330, 400, 442] [200, 331, 401, 443] [143, 342, 412, 454] [142, 343, 413, 455] [145, 344, 414, 456] [144, 345, 415, 457] [147, 346, 416, 458] [146, 347, 417, 459] [149, 348, 418, 450] [148, 349, 419, 451] [141, 340, 410, 452] [140, 341, 411, 453] [153, 282, 352, 464] [152, 283, 353, 465] [155, 284, 354, 466] [154, 285, 355, 467] [157, 286, 356, 468] [156, 287, 357, 469] [159, 288, 358, 460] [158, 289, 359, 461] [151, 280, 350, 462] [150, 281, 351, 463] [163, 292, 362, 474] [162, 293, 363, 475] [165, 294, 364, 476] [164, 295, 365, 477] [167, 296, 366, 478] [166, 297, 367, 479] [169, 298, 368, 470] [168, 299, 369, 471] [161, 290, 360, 472] [160, 291, 361, 473] [173, 302, 372, 484] [172, 303, 373, 485] [175, 304, 374, 486] [174, 305, 375, 487] [177, 306, 376, 488] [176, 307, 377, 489] [179, 308, 378, 480] [178, 309, 379, 481] [171, 300, 370, 482] [170, 301, 371, 483] [183, 312, 382, 424] [182, 313, 383, 425] [185, 314, 384, 426] [184, 315, 385, 427] [187, 316, 386, 428] [186, 317, 387, 429] [189, 318, 388, 420] [188, 319, 389, 421] [181, 310, 380, 422] [180, 311, 381, 423] [42, 263, 462, 504] [43, 262, 463, 505] [44, 265, 464, 506] [45, 264, 465, 507] [46, 267, 466, 508] [47, 266, 467, 509] [48, 269, 468, 500] [49, 268, 469, 501] [40, 261, 460, 502] [41, 260, 461, 503] [52, 273, 472, 514] [53, 272, 473, 515] [54, 275, 474, 516] [55, 274, 475, 517] [56, 277, 476, 518] [57, 276, 477, 519] [58, 279, 478, 510] [59, 278, 479, 511] [50, 271, 470, 512] [51, 270, 471, 513] [62, 213, 482, 524] [63, 212, 483, 525] [64, 215, 484, 526] [65, 214, 485, 527] [66, 217, 486, 528] [67, 216, 487, 529] [68, 219, 488, 520] [69, 218, 489, 521] [60, 211, 480, 522] [61, 210, 481, 523] [2, 223, 422, 534] [3, 222, 423, 535] [4, 225, 424, 536] [5, 224, 425, 537] [6, 227, 426, 538] [7, 226, 427, 539] [8, 229, 428, 530] [9, 228, 429, 531] [0, 221, 420, 532] [1, 220, 421, 533] [12, 233, 432, 544] [13, 232, 433, 545] [14, 235, 434, 546] [15, 234, 435, 547] [16, 237, 436, 548] [17, 236, 437, 549] [18, 239, 438, 540] [19, 238, 439, 541] [10, 231, 430, 542] [11, 230, 431, 543] [22, 243, 442, 554] [23, 242, 443, 555] [24, 245, 444, 556] [25, 244, 445, 557] [26, 247, 446, 558] [27, 246, 447, 559] [28, 249, 448, 550] [29, 248, 449, 551] [20, 241, 440, 552] [21, 240, 441, 553] [32, 253, 452, 494] [33, 252, 453, 495] [34, 255, 454, 496] [35, 254, 455, 497] [36, 257, 456, 498] [37, 256, 457, 499] [38, 259, 458, 490] [39, 258, 459, 491] [30, 251, 450, 492] [31, 250, 451, 493] [112, 333, 532, 574] [113, 332, 533, 575] [114, 335, 534, 576] [115, 334, 535, 577] [116, 337, 536, 578] [117, 336, 537, 579] [118, 339, 538, 570] [119, 338, 539, 571] [110, 331, 530, 572] [111, 330, 531, 573] [122, 343, 542, 584] [123, 342, 543, 585] [124, 345, 544, 586] [125, 344, 545, 587] [126, 347, 546, 588] [127, 346, 547, 589] [128, 349, 548, 580] [129, 348, 549, 581] [120, 341, 540, 582] [121, 340, 541, 583] [132, 283, 552, 594] [133, 282, 553, 595] [134, 285, 554, 596] [135, 284, 555, 597] [136, 287, 556, 598] [137, 286, 557, 599] [138, 289, 558, 590] [139, 288, 559, 591] [130, 281, 550, 592] [131, 280, 551, 593] [72, 293, 492, 604] [73, 292, 493, 605] [74, 295, 494, 606] [75, 294, 495, 607] [76, 297, 496, 608] [77, 296, 497, 609] [78, 299, 498, 600] [79, 298, 499, 601] [70, 291, 490, 602] [71, 290, 491, 603] [82, 303, 502, 614] [83, 302, 503, 615] [84, 305, 504, 616] [85, 304, 505, 617] [86, 307, 506, 618] [87, 306, 507, 619] [88, 309, 508, 610] [89, 308, 509, 611] [80, 301, 500, 612] [81, 300, 501, 613] [92, 313, 512, 624] [93, 312, 513, 625] [94, 315, 514, 626] [95, 314, 515, 627] [96, 317, 516, 628] [97, 316, 517, 629] [98, 319, 518, 620] [99, 318, 519, 621] [90, 311, 510, 622] [91, 310, 511, 623] [102, 323, 522, 564] [103, 322, 523, 565] [104, 325, 524, 566] [105, 324, 525, 567] [106, 327, 526, 568] [107, 326, 527, 569] [108, 329, 528, 560] [109, 328, 529, 561] [100, 321, 520, 562] [101, 320, 521, 563]
H_Z (350 checks, sparse supports)
[136, 178, 379, 598] [137, 179, 378, 599] [138, 170, 371, 590] [139, 171, 370, 591] [130, 172, 373, 592] [131, 173, 372, 593] [132, 174, 375, 594] [133, 175, 374, 595] [134, 176, 377, 596] [135, 177, 376, 597] [76, 188, 389, 608] [77, 189, 388, 609] [78, 180, 381, 600] [79, 181, 380, 601] [70, 182, 383, 602] [71, 183, 382, 603] [72, 184, 385, 604] [73, 185, 384, 605] [74, 186, 387, 606] [75, 187, 386, 607] [86, 198, 399, 618] [87, 199, 398, 619] [88, 190, 391, 610] [89, 191, 390, 611] [80, 192, 393, 612] [81, 193, 392, 613] [82, 194, 395, 614] [83, 195, 394, 615] [84, 196, 397, 616] [85, 197, 396, 617] [96, 208, 409, 628] [97, 209, 408, 629] [98, 200, 401, 620] [99, 201, 400, 621] [90, 202, 403, 622] [91, 203, 402, 623] [92, 204, 405, 624] [93, 205, 404, 625] [94, 206, 407, 626] [95, 207, 406, 627] [106, 148, 419, 568] [107, 149, 418, 569] [108, 140, 411, 560] [109, 141, 410, 561] [100, 142, 413, 562] [101, 143, 412, 563] [102, 144, 415, 564] [103, 145, 414, 565] [104, 146, 417, 566] [105, 147, 416, 567] [116, 158, 359, 578] [117, 159, 358, 579] [118, 150, 351, 570] [119, 151, 350, 571] [110, 152, 353, 572] [111, 153, 352, 573] [112, 154, 355, 574] [113, 155, 354, 575] [114, 156, 357, 576] [115, 157, 356, 577] [126, 168, 369, 588] [127, 169, 368, 589] [128, 160, 361, 580] [129, 161, 360, 581] [120, 162, 363, 582] [121, 163, 362, 583] [122, 164, 365, 584] [123, 165, 364, 585] [124, 166, 367, 586] [125, 167, 366, 587] [206, 248, 449, 668] [207, 249, 448, 669] [208, 240, 441, 660] [209, 241, 440, 661] [200, 242, 443, 662] [201, 243, 442, 663] [202, 244, 445, 664] [203, 245, 444, 665] [204, 246, 447, 666] [205, 247, 446, 667] [146, 258, 459, 678] [147, 259, 458, 679] [148, 250, 451, 670] [149, 251, 450, 671] [140, 252, 453, 672] [141, 253, 452, 673] [142, 254, 455, 674] [143, 255, 454, 675] [144, 256, 457, 676] [145, 257, 456, 677] [156, 268, 469, 688] [157, 269, 468, 689] [158, 260, 461, 680] [159, 261, 460, 681] [150, 262, 463, 682] [151, 263, 462, 683] [152, 264, 465, 684] [153, 265, 464, 685] [154, 266, 467, 686] [155, 267, 466, 687] [166, 278, 479, 698] [167, 279, 478, 699] [168, 270, 471, 690] [169, 271, 470, 691] [160, 272, 473, 692] [161, 273, 472, 693] [162, 274, 475, 694] [163, 275, 474, 695] [164, 276, 477, 696] [165, 277, 476, 697] [176, 218, 489, 638] [177, 219, 488, 639] [178, 210, 481, 630] [179, 211, 480, 631] [170, 212, 483, 632] [171, 213, 482, 633] [172, 214, 485, 634] [173, 215, 484, 635] [174, 216, 487, 636] [175, 217, 486, 637] [186, 228, 429, 648] [187, 229, 428, 649] [188, 220, 421, 640] [189, 221, 420, 641] [180, 222, 423, 642] [181, 223, 422, 643] [182, 224, 425, 644] [183, 225, 424, 645] [184, 226, 427, 646] [185, 227, 426, 647] [196, 238, 439, 658] [197, 239, 438, 659] [198, 230, 431, 650] [199, 231, 430, 651] [190, 232, 433, 652] [191, 233, 432, 653] [192, 234, 435, 654] [193, 235, 434, 655] [194, 236, 437, 656] [195, 237, 436, 657] [276, 318, 388, 519] [277, 319, 389, 518] [278, 310, 380, 511] [279, 311, 381, 510] [270, 312, 382, 513] [271, 313, 383, 512] [272, 314, 384, 515] [273, 315, 385, 514] [274, 316, 386, 517] [275, 317, 387, 516] [216, 328, 398, 529] [217, 329, 399, 528] [218, 320, 390, 521] [219, 321, 391, 520] [210, 322, 392, 523] [211, 323, 393, 522] [212, 324, 394, 525] [213, 325, 395, 524] [214, 326, 396, 527] [215, 327, 397, 526] [226, 338, 408, 539] [227, 339, 409, 538] [228, 330, 400, 531] [229, 331, 401, 530] [220, 332, 402, 533] [221, 333, 403, 532] [222, 334, 404, 535] [223, 335, 405, 534] [224, 336, 406, 537] [225, 337, 407, 536] [236, 348, 418, 549] [237, 349, 419, 548] [238, 340, 410, 541] [239, 341, 411, 540] [230, 342, 412, 543] [231, 343, 413, 542] [232, 344, 414, 545] [233, 345, 415, 544] [234, 346, 416, 547] [235, 347, 417, 546] [246, 288, 358, 559] [247, 289, 359, 558] [248, 280, 350, 551] [249, 281, 351, 550] [240, 282, 352, 553] [241, 283, 353, 552] [242, 284, 354, 555] [243, 285, 355, 554] [244, 286, 356, 557] [245, 287, 357, 556] [256, 298, 368, 499] [257, 299, 369, 498] [258, 290, 360, 491] [259, 291, 361, 490] [250, 292, 362, 493] [251, 293, 363, 492] [252, 294, 364, 495] [253, 295, 365, 494] [254, 296, 366, 497] [255, 297, 367, 496] [266, 308, 378, 509] [267, 309, 379, 508] [268, 300, 370, 501] [269, 301, 371, 500] [260, 302, 372, 503] [261, 303, 373, 502] [262, 304, 374, 505] [263, 305, 375, 504] [264, 306, 376, 507] [265, 307, 377, 506] [38, 346, 458, 589] [39, 347, 459, 588] [30, 348, 450, 581] [31, 349, 451, 580] [32, 340, 452, 583] [33, 341, 453, 582] [34, 342, 454, 585] [35, 343, 455, 584] [36, 344, 456, 587] [37, 345, 457, 586] [48, 286, 468, 599] [49, 287, 469, 598] [40, 288, 460, 591] [41, 289, 461, 590] [42, 280, 462, 593] [43, 281, 463, 592] [44, 282, 464, 595] [45, 283, 465, 594] [46, 284, 466, 597] [47, 285, 467, 596] [58, 296, 478, 609] [59, 297, 479, 608] [50, 298, 470, 601] [51, 299, 471, 600] [52, 290, 472, 603] [53, 291, 473, 602] [54, 292, 474, 605] [55, 293, 475, 604] [56, 294, 476, 607] [57, 295, 477, 606] [68, 306, 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Code ID 700-2-25 · download JSON · raw on GitHub