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[[760,40,5]] d =
n
760
k
40
d
5
kd²/n
1.316
w
4
X/Z
1
g
1.32
r
1.4142
layers
1
swaps
0

Share this result

Distance

X/Z asymmetry 1 · d_X = 5, d_Z = 5 · 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 5 · witness weight 5 (claimed upper_bound)
witness operator (support, 5 qubits)
[79, 82, 83, 93, 94]
d_Z 5 · witness weight 5 (claimed upper_bound)
witness operator (support, 5 qubits)
[505, 506, 507, 508, 509]
certificate exact, d = 5 · CryptoMiniSat 5.14.7 SAT
X: no logical < 5 exists; Z: no logical < 5 exists

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 2–4 (mean 3.694) · H_Z 2–4 (mean 3.694)
qubit degrees H_X 1–2 (mean 1.75) · H_Z 1–2 (mean 1.75)
trapping sets H_X (1,1)×190 (2,0)×40 (3,0)×30 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_X
(1,1): 190 (1,2): 570 (2,0): 40 (2,1): 450 (2,2): 1380 (3,0): 30 (3,1): 1180 (3,2): 3370 (3,3): 350 (3,4): 760
trapping sets H_Z (1,1)×190 (2,0)×40 (3,0)×30 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_Z
(1,1): 190 (1,2): 570 (2,0): 40 (2,1): 450 (2,2): 1380 (3,0): 30 (3,1): 1180 (3,2): 3370 (3,3): 350 (3,4): 760
witness diameter X 4.0 · Z 4.0 (Euclidean support diameter of the stored distance witnesses in the layout; an upper bound on the exhibited logicals’ spread, not a minimum over all logicals)

Verified 2D layout

as measured by the verifier: every check drawn over the submitted coordinates; the interaction radius is the longest dashed pair
r = 1.414
X checkZ checkqubit site (760)dashed: the pair setting the interaction radiushover a check to isolate its qubits; click to pin — repeated clicks cycle through overlapping checks; click empty space to release
routing cost 0 nearest-neighbor SWAPs per round in total, at most 0 for one check (heuristic: MST lower bound on the layout, with one lattice step = the minimum qubit spacing 1; not a rank)

Construction & provenance

authors @MathysRennela
provenance submitted through the challenge
novelty novelty not audited
construction Multi-band dense-packed surface code (generalization of the two-band packing of arXiv:2511.06758, builder research/multiband_surface.py build): square surface-code patches of size d=5 in 16 horizontal bands at pitch 6, 3 patches per even band and 2 per odd band, odd bands half-pitch staggered so neighbouring patches share boundary infrastructure and the packing is one connected code rather than a direct sum. Parameters (d, rows, m, pitch) = (5, 16, 3, 6), at the measured pitch floor 2*floor(3d/4) = 6, where k unlocks together with the design distance. Measured n=760, k=40 by exact GF(2) rank, max check weight 4, one connected component.
model Space Bunny Alpha 1.0 (claimed, not verified)
date 2026-10-07
notes Reference: arXiv:2511.06758 (two-band dense packing, Fujiu et al.).
family topological (a tag, not a ranking)
locality 2D-local single (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

[[760,40,5]] — multi-band dense-packed surface code at rows=16, m=3, pitch=6

Direction & hypothesis

Target: the 2D-local single / weight ≤ 4 cell, inside it the high-k corners, where the board is nearly empty. Reading the gate's own dominance rule first is what chose the cell. verify/validate_candidate.py orders locality {local-2d-single: 0, local-2d-bilayer: 1, unrestricted: 2} and admits a dominator only when its order is at or below the candidate's, so local-2d-single is the cell with the fewest competitors, not the hardest — the reverse of the nesting intuition, and the opposite of where a first guess lands. In that cell the best d at k = 20..30 is 5, so d = 5 at k ≥ 24 is enough to advance, and the family that fills those corners is the multi-band dense-packed surface code.

The expectation was therefore structural rather than a guess about parameters: sweep the family's whole parameter space and drop configurations into the gaps of the board's d = 5 staircase. This note is one member of that sweep; the others are separate submissions.

What was searched

No fresh construction search. The family was swept over its parameter space rather than sampled:

  • rows 2–48 × m 2–48 × pitch in a ±3 window around the floor, at patch

    • sizes d ∈ {5, 7} (the board's existing ladder is d ∈ {3,5,7,9,11,13}), filtered to n ≤ 1000 and k ≥ 20. n comes from the occupied-site mask first, so the exact GF(2) rank runs only on survivors.

  • 62 configurations came back CSS, connected, and free of empty rows at

    • n ≤ 600, k ≥ 20; widening to n ≤ 1000 left 14 Pareto-undominated in this cell at a claimed d = 5.

  • Screening: research/kit/surrogate.py:distance_rand_witness, 300 000 RIS

    • trials per side, pair_depth=16, gf2_fast backend (make fast).

The submitted configuration is (d, rows, m, pitch) = (5, 16, 3, 6) — patches of size d = 5 in 16 horizontal bands at pitch 6, 3 patches per even band and 2 per odd band, the odd bands half-pitch staggered so neighbouring patches share boundary infrastructure and the packing is one connected code rather than a direct sum. Pitch 6 is the floor 2*floor(3d/4) at which k unlocks together with the design distance. Measured: n = 760, k = 40 by exact GF(2) rank, max check weight 4, one connected component, interaction radius sqrt(2) at unit qubit spacing.

Evidence trail

Ladder for the submitted code (lightest logical found, per side):

| depth (RIS trials/side) | d_X | d_Z | |---|---|---| | 300 000, pair_depth=16, gf2_fast | 5 | 5 | | 20 000 (packaging search) | 5 | 5 | | 2 000 000 (submission accelerator pass) | 5 | 5 |

The claim filed is a witness-backed upper bound d ≤ 5 on both sides, with an explicit weight-5 operator for each. It is not certified exact and is not described as such.

kd^2/n = 1.316 here, against a cell leader of 2.00: this is a breadth result, widening the frontier at high k, not a challenge to the headline figure.

Dead ends

  • Even patch size is not in this family. The cell analysis pointed at

    • d = 6, since d = 5 at k ≥ 20 is already occupied. All six probed d ∈ {4, 6, 8} configurations come back css=False at every pitch: the two-band plaquette colouring that makes the code CSS needs odd d. The measured law pitch_min(d) = 2*floor(3d/4) (6, 10, 12 at d = 5, 7, 9) was measured at odd d only, so its value at d = 6 is an extrapolation and cannot be reached.

  • rows=2, pitch=2 looks like a clean ladder and is degenerate. It gives

    • k = 2m-1 at n = 34m-9, is CSS, connected, and has no empty rows, so it screens as advancing at the assumed d = 5 — at m = 11, 13, 17 that is [[365,21,?]], [[433,25,?]], [[569,33,?]]. Measured at 400 000 RIS trials per side, all three are d = 4 on both sides. The bands overlap by seven rows, so no patch argument constrains the distance and the assumed d is simply wrong. Filing any of them would have been a refuted submission.

  • d = 7 at n ≤ 600 reaches only k = 17, below the k ≥ 20 threshold

    • this direction needs, so the odd-d ladder above 5 is out of reach here.

  • Toric codes, tried first and abandoned. A rotated toric code on an

    • L × L torus has n = L², k = 2, d = L at weight 4, and the board's ladder tops out at [[900,2,30]] (L = 30), suggesting L = 31. It fails twice over: the plaquette 2-colouring that makes the code CSS needs even L, so L = 31 is not a code, and L = 32 gives n = 1024, past the admissible() cap of n ≤ 1000. That family is closed at L = 30.

Tools

Model: space bunny alpha 1.0 (self-reported, not verified). Agent harness: opencode CLI. Repository tooling: research/multiband_surface.py (builder and its exact-rank params()), research/kit/surrogate.py (distance screening), make fast for the gf2_fast C++ RIS backend, ./qldpc submit for verification and packaging. Screening budget: 62 configurations built and ranked, 14 measured at 300 000 RIS trials per side, plus 2 000 000 per side on the submitted code. Single machine, CPU only; roughly 2 CPU-hours across the whole sweep.

Reproduction

research/multiband_surface.py is the construction, and it is already on the base branch. One call rebuilds the submitted code exactly:

from multiband_surface import build, params
hx, hz, coords, sites = build(d=5, rows=16, m=3, pitch=6)
params(5, 16, 3, 6)

build returns (HX, HZ, coords, sites): the two parity-check blocks as 0/1 matrices of shape (num_checks, n), the per-qubit layout as the patch grid halved, and the occupied site list. Saving hx, hz under those keys and coords under that key is the whole of what ./qldpc submit consumes, so no matrix is hand-transcribed anywhere in this submission. params() recomputes k by exact GF(2) rank rather than from the closed form rows*m - rows//2.

The builder was calibrated before use rather than trusted: build(5, 8, 3, 6) reproduces codes/388-20-5.json with an identical permutation-invariant pairwise row-intersection signature on both blocks, so the two differ only in qubit numbering. (n, k, w) would have passed on a wrong code — those three are fixed by the lattice and the bulk weight, which is exactly why the comparison is made on check matrices.

Calibration note

The dominance screen behind this search must recompute each board entry's locality class rather than read it: 40 of the 223 single-layer weight-≤4 entries carry coordinates and layers but no stored interaction_radius, and treating a missing radius as infinite drops them from the competitor set. With the radius recomputed the way the verifier computes it, the screen's competitor set matches the site's exactly (223 of 223).

Parity checks

X-checks 360 (max weight 4) · Z-checks 360 (max weight 4)
H_X (360 checks, sparse supports)
[0, 1] [2, 3] [5, 6] [7, 8] [10, 11] [12, 13] [1, 2, 16, 17] [3, 4, 18, 19] [6, 7, 21, 22] [8, 9, 23, 24] [11, 12, 26, 27] [13, 14, 28, 29] [15, 16, 30, 31] [17, 18, 32, 33] [20, 21, 35, 36] [22, 23, 37, 38] [25, 26, 40, 41] [27, 28, 42, 43] [31, 32, 46, 47] [33, 34, 48, 49] [36, 37, 52, 53] [38, 39, 54, 55] [41, 42, 58, 59] [43, 44, 60, 61] [45, 46, 62, 63] [47, 48, 64, 65] [49, 50, 66, 67] [51, 52, 68, 69] [53, 54, 70, 71] [55, 56, 72, 73] [57, 58, 74, 75] [59, 60, 76, 77] [63, 64] [65, 66, 79, 80] [67, 68, 81, 82] [69, 70, 83] [71, 72, 84, 85] [73, 74, 86, 87] [75, 76, 88] [77, 78] [89, 90] [79, 91, 92] [80, 81, 93, 94] [82, 83, 95, 96] [84, 97, 98] [85, 86, 99, 100] [87, 88, 101, 102] [103, 104] [90, 91, 107, 108] [92, 93, 109, 110] [94, 95, 111, 112] [96, 97, 113, 114] [98, 99, 115, 116] [100, 101, 117, 118] [102, 103, 119, 120] [104, 105, 121, 122] [106, 107, 123, 124] [108, 109, 125, 126] [112, 113, 128, 129] [114, 115, 130, 131] [118, 119, 133, 134] [120, 121, 135, 136] [124, 125, 139, 140] [126, 127, 141, 142] [129, 130, 145, 146] [131, 132, 147, 148] [134, 135, 151, 152] [136, 137, 153, 154] [138, 139, 155, 156] [140, 141, 157, 158] [142, 143, 159, 160] [144, 145, 161, 162] [146, 147, 163, 164] [148, 149, 165, 166] [150, 151, 167, 168] [152, 153, 169, 170] [156, 157] [158, 159, 172, 173] [160, 161, 174, 175] [162, 163, 176] [164, 165, 177, 178] [166, 167, 179, 180] [168, 169, 181] [170, 171] [182, 183] [172, 184, 185] [173, 174, 186, 187] [175, 176, 188, 189] [177, 190, 191] [178, 179, 192, 193] [180, 181, 194, 195] [196, 197] [183, 184, 200, 201] [185, 186, 202, 203] [187, 188, 204, 205] [189, 190, 206, 207] [191, 192, 208, 209] [193, 194, 210, 211] [195, 196, 212, 213] [197, 198, 214, 215] [199, 200, 216, 217] [201, 202, 218, 219] [205, 206, 221, 222] [207, 208, 223, 224] [211, 212, 226, 227] [213, 214, 228, 229] [217, 218, 232, 233] [219, 220, 234, 235] [222, 223, 238, 239] [224, 225, 240, 241] [227, 228, 244, 245] [229, 230, 246, 247] [231, 232, 248, 249] [233, 234, 250, 251] [235, 236, 252, 253] [237, 238, 254, 255] [239, 240, 256, 257] [241, 242, 258, 259] [243, 244, 260, 261] [245, 246, 262, 263] [249, 250] [251, 252, 265, 266] [253, 254, 267, 268] [255, 256, 269] [257, 258, 270, 271] [259, 260, 272, 273] [261, 262, 274] [263, 264] [275, 276] [265, 277, 278] [266, 267, 279, 280] [268, 269, 281, 282] [270, 283, 284] [271, 272, 285, 286] [273, 274, 287, 288] [289, 290] [276, 277, 293, 294] [278, 279, 295, 296] [280, 281, 297, 298] [282, 283, 299, 300] [284, 285, 301, 302] [286, 287, 303, 304] [288, 289, 305, 306] [290, 291, 307, 308] [292, 293, 309, 310] [294, 295, 311, 312] [298, 299, 314, 315] [300, 301, 316, 317] [304, 305, 319, 320] [306, 307, 321, 322] [310, 311, 325, 326] [312, 313, 327, 328] [315, 316, 331, 332] [317, 318, 333, 334] [320, 321, 337, 338] [322, 323, 339, 340] [324, 325, 341, 342] [326, 327, 343, 344] [328, 329, 345, 346] [330, 331, 347, 348] [332, 333, 349, 350] [334, 335, 351, 352] [336, 337, 353, 354] [338, 339, 355, 356] [342, 343] [344, 345, 358, 359] [346, 347, 360, 361] [348, 349, 362] [350, 351, 363, 364] [352, 353, 365, 366] [354, 355, 367] [356, 357] [368, 369] [358, 370, 371] [359, 360, 372, 373] [361, 362, 374, 375] [363, 376, 377] [364, 365, 378, 379] [366, 367, 380, 381] [382, 383] [369, 370, 386, 387] [371, 372, 388, 389] [373, 374, 390, 391] [375, 376, 392, 393] [377, 378, 394, 395] [379, 380, 396, 397] [381, 382, 398, 399] [383, 384, 400, 401] [385, 386, 402, 403] [387, 388, 404, 405] [391, 392, 407, 408] [393, 394, 409, 410] [397, 398, 412, 413] [399, 400, 414, 415] [403, 404, 418, 419] [405, 406, 420, 421] [408, 409, 424, 425] [410, 411, 426, 427] [413, 414, 430, 431] [415, 416, 432, 433] [417, 418, 434, 435] [419, 420, 436, 437] [421, 422, 438, 439] [423, 424, 440, 441] [425, 426, 442, 443] [427, 428, 444, 445] [429, 430, 446, 447] [431, 432, 448, 449] [435, 436] [437, 438, 451, 452] [439, 440, 453, 454] [441, 442, 455] [443, 444, 456, 457] [445, 446, 458, 459] [447, 448, 460] [449, 450] [461, 462] [451, 463, 464] [452, 453, 465, 466] [454, 455, 467, 468] [456, 469, 470] [457, 458, 471, 472] [459, 460, 473, 474] [475, 476] [462, 463, 479, 480] [464, 465, 481, 482] [466, 467, 483, 484] [468, 469, 485, 486] [470, 471, 487, 488] [472, 473, 489, 490] [474, 475, 491, 492] [476, 477, 493, 494] [478, 479, 495, 496] [480, 481, 497, 498] [484, 485, 500, 501] [486, 487, 502, 503] [490, 491, 505, 506] [492, 493, 507, 508] [496, 497, 511, 512] [498, 499, 513, 514] [501, 502, 517, 518] [503, 504, 519, 520] [506, 507, 523, 524] [508, 509, 525, 526] [510, 511, 527, 528] [512, 513, 529, 530] [514, 515, 531, 532] [516, 517, 533, 534] [518, 519, 535, 536] [520, 521, 537, 538] [522, 523, 539, 540] [524, 525, 541, 542] [528, 529] [530, 531, 544, 545] [532, 533, 546, 547] [534, 535, 548] [536, 537, 549, 550] [538, 539, 551, 552] [540, 541, 553] [542, 543] [554, 555] [544, 556, 557] [545, 546, 558, 559] [547, 548, 560, 561] [549, 562, 563] [550, 551, 564, 565] [552, 553, 566, 567] [568, 569] [555, 556, 572, 573] [557, 558, 574, 575] [559, 560, 576, 577] [561, 562, 578, 579] [563, 564, 580, 581] [565, 566, 582, 583] [567, 568, 584, 585] [569, 570, 586, 587] [571, 572, 588, 589] [573, 574, 590, 591] [577, 578, 593, 594] [579, 580, 595, 596] [583, 584, 598, 599] [585, 586, 600, 601] [589, 590, 604, 605] [591, 592, 606, 607] [594, 595, 610, 611] [596, 597, 612, 613] [599, 600, 616, 617] [601, 602, 618, 619] [603, 604, 620, 621] [605, 606, 622, 623] [607, 608, 624, 625] [609, 610, 626, 627] [611, 612, 628, 629] [613, 614, 630, 631] [615, 616, 632, 633] [617, 618, 634, 635] [621, 622] [623, 624, 637, 638] [625, 626, 639, 640] [627, 628, 641] [629, 630, 642, 643] [631, 632, 644, 645] [633, 634, 646] [635, 636] [647, 648] [637, 649, 650] [638, 639, 651, 652] [640, 641, 653, 654] [642, 655, 656] [643, 644, 657, 658] [645, 646, 659, 660] [661, 662] [648, 649, 665, 666] [650, 651, 667, 668] [652, 653, 669, 670] [654, 655, 671, 672] [656, 657, 673, 674] [658, 659, 675, 676] [660, 661, 677, 678] [662, 663, 679, 680] [664, 665, 681, 682] [666, 667, 683, 684] [670, 671, 686, 687] [672, 673, 688, 689] [676, 677, 691, 692] [678, 679, 693, 694] [682, 683, 697, 698] [684, 685, 699, 700] [687, 688, 703, 704] [689, 690, 705, 706] [692, 693, 709, 710] [694, 695, 711, 712] [696, 697, 713, 714] [698, 699, 715, 716] [700, 701, 717, 718] [702, 703, 719, 720] [704, 705, 721, 722] [706, 707, 723, 724] [708, 709, 725, 726] [710, 711, 727, 728] [714, 715] [716, 717, 730, 731] [718, 719, 732, 733] [720, 721, 734] [722, 723, 735, 736] [724, 725, 737, 738] [726, 727, 739] [728, 729] [730, 740] [731, 732, 741, 742] [733, 734, 743, 744] [735, 745] [736, 737, 746, 747] [738, 739, 748, 749] [740, 741, 750, 751] [742, 743, 752, 753] [744, 754] [745, 746, 755, 756] [747, 748, 757, 758] [749, 759]
H_Z (360 checks, sparse supports)
[0, 1, 15, 16] [2, 3, 17, 18] [4, 19] [5, 6, 20, 21] [7, 8, 22, 23] [9, 24] [10, 11, 25, 26] [12, 13, 27, 28] [14, 29] [15, 30] [16, 17, 31, 32] [18, 19, 33, 34] [20, 35] [21, 22, 36, 37] [23, 24, 38, 39] [25, 40] [26, 27, 41, 42] [28, 29, 43, 44] [30, 31, 45, 46] [32, 33, 47, 48] [34, 49, 50] [35, 36, 51, 52] [37, 38, 53, 54] [39, 55, 56] [40, 41, 57, 58] [42, 43, 59, 60] [44, 61] [45, 62] [46, 47, 63, 64] [48, 49, 65, 66] [50, 51, 67, 68] [52, 53, 69, 70] [54, 55, 71, 72] [56, 57, 73, 74] [58, 59, 75, 76] [60, 61, 77, 78] [66, 67, 80, 81] [68, 69, 82, 83] [72, 73, 85, 86] [74, 75, 87, 88] [79, 80, 92, 93] [81, 82, 94, 95] [84, 85, 98, 99] [86, 87, 100, 101] [89, 90, 106, 107] [91, 92, 108, 109] [93, 94, 110, 111] [95, 96, 112, 113] [97, 98, 114, 115] [99, 100, 116, 117] [101, 102, 118, 119] [103, 104, 120, 121] [105, 122] [106, 123] [107, 108, 124, 125] [109, 110, 126, 127] [111, 112, 128] [113, 114, 129, 130] [115, 116, 131, 132] [117, 118, 133] [119, 120, 134, 135] [121, 122, 136, 137] [123, 124, 138, 139] [125, 126, 140, 141] [127, 142, 143] [128, 129, 144, 145] [130, 131, 146, 147] [132, 148, 149] [133, 134, 150, 151] [135, 136, 152, 153] [137, 154] [138, 155] [139, 140, 156, 157] [141, 142, 158, 159] [143, 144, 160, 161] [145, 146, 162, 163] [147, 148, 164, 165] [149, 150, 166, 167] [151, 152, 168, 169] [153, 154, 170, 171] [159, 160, 173, 174] [161, 162, 175, 176] [165, 166, 178, 179] [167, 168, 180, 181] [172, 173, 185, 186] [174, 175, 187, 188] [177, 178, 191, 192] [179, 180, 193, 194] [182, 183, 199, 200] [184, 185, 201, 202] [186, 187, 203, 204] [188, 189, 205, 206] [190, 191, 207, 208] [192, 193, 209, 210] [194, 195, 211, 212] [196, 197, 213, 214] [198, 215] [199, 216] [200, 201, 217, 218] [202, 203, 219, 220] [204, 205, 221] [206, 207, 222, 223] [208, 209, 224, 225] [210, 211, 226] [212, 213, 227, 228] [214, 215, 229, 230] [216, 217, 231, 232] [218, 219, 233, 234] [220, 235, 236] [221, 222, 237, 238] [223, 224, 239, 240] [225, 241, 242] [226, 227, 243, 244] [228, 229, 245, 246] [230, 247] [231, 248] [232, 233, 249, 250] [234, 235, 251, 252] [236, 237, 253, 254] [238, 239, 255, 256] [240, 241, 257, 258] [242, 243, 259, 260] [244, 245, 261, 262] [246, 247, 263, 264] [252, 253, 266, 267] [254, 255, 268, 269] [258, 259, 271, 272] [260, 261, 273, 274] [265, 266, 278, 279] [267, 268, 280, 281] [270, 271, 284, 285] [272, 273, 286, 287] [275, 276, 292, 293] [277, 278, 294, 295] [279, 280, 296, 297] [281, 282, 298, 299] [283, 284, 300, 301] [285, 286, 302, 303] [287, 288, 304, 305] [289, 290, 306, 307] [291, 308] [292, 309] [293, 294, 310, 311] [295, 296, 312, 313] [297, 298, 314] [299, 300, 315, 316] [301, 302, 317, 318] [303, 304, 319] [305, 306, 320, 321] [307, 308, 322, 323] [309, 310, 324, 325] [311, 312, 326, 327] [313, 328, 329] [314, 315, 330, 331] [316, 317, 332, 333] [318, 334, 335] [319, 320, 336, 337] [321, 322, 338, 339] [323, 340] [324, 341] [325, 326, 342, 343] [327, 328, 344, 345] [329, 330, 346, 347] [331, 332, 348, 349] [333, 334, 350, 351] [335, 336, 352, 353] [337, 338, 354, 355] [339, 340, 356, 357] [345, 346, 359, 360] [347, 348, 361, 362] [351, 352, 364, 365] [353, 354, 366, 367] [358, 359, 371, 372] [360, 361, 373, 374] [363, 364, 377, 378] [365, 366, 379, 380] [368, 369, 385, 386] [370, 371, 387, 388] [372, 373, 389, 390] [374, 375, 391, 392] [376, 377, 393, 394] [378, 379, 395, 396] [380, 381, 397, 398] [382, 383, 399, 400] [384, 401] [385, 402] [386, 387, 403, 404] [388, 389, 405, 406] [390, 391, 407] [392, 393, 408, 409] [394, 395, 410, 411] [396, 397, 412] [398, 399, 413, 414] [400, 401, 415, 416] [402, 403, 417, 418] [404, 405, 419, 420] [406, 421, 422] [407, 408, 423, 424] [409, 410, 425, 426] [411, 427, 428] [412, 413, 429, 430] [414, 415, 431, 432] [416, 433] [417, 434] [418, 419, 435, 436] [420, 421, 437, 438] [422, 423, 439, 440] [424, 425, 441, 442] [426, 427, 443, 444] [428, 429, 445, 446] [430, 431, 447, 448] [432, 433, 449, 450] [438, 439, 452, 453] [440, 441, 454, 455] [444, 445, 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Code ID 760-40-5 · download JSON · raw on GitHub