project
project: 8 implementations from 9 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 7 distinct outputs across 3 buckets, one shared input per bucket.
Identical values to six decimals (the recorded digest) on the shared input are agreement on those inputs, not equivalence. Implementations are compared only within one bucket, the positional (rank, kind, dtype) of each array argument; the argument name is not part of the key because the harness draws the shared array from (rank, kind) and casts it to the dtype, whatever the name; each bucket's shared input is fixed by that key, so members of one bucket saw bitwise-identical inputs under their own scalar arguments. A cluster is the set of members whose recorded output digest is identical. Nothing here says which computation a paper's method intended, and nothing reproduces a paper's results.
Not compared, and not in the tables or the counts above:
- 2 more implementations of this name were examined but did not run on the shared input (RuntimeError 1, ValueError 1).
- No implementation of this name ran on its own fixture arguments only: every one that ran took an array argument.
- Every compared output was digested.
Bucket 1 of 3: arg 1: rank 2, kind float, dtype float32 · arg 2: rank 2, kind float, dtype float32
4 implementations from 5 papers share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 3 distinct outputs, largest cluster first. Values are the first 8 of the recorded output, flattened.
| Cluster (same digest to six decimals) | Members | Shared output on this bucket's input |
|---|---|---|
| 2 implementations 3 papers f69db82c2cc6 recorded values identical |
gligen_inference.py e49923c3 recorded x:2/float/float32, projection_matrix:2/float/float32 txt2img.py 51951842 recorded x:2/float/float32, projection_matrix:2/float/float32 |
[8.95518, -1.11844, 5.25227, -2.02438, -1.11844, 9.88935, -2.98204, 1.70604, …] shape [4, 4] · float32 · Tensor |
| 1 implementation 1 paper 1d91c3180085 |
models/hyperbolic.py 61d7615d recorded x:2/float/float32, c:2/float/float32 |
[0.446984, -1.53378, 0.229703, -0.690887, -0.902849, -1.03047, -0.662761, 0.251985, …] shape [4, 8] · float32 · Tensor |
| 1 implementation 1 paper de8a59065c6d |
src/models/strand_codec.py 8000b097 recorded data:2/float/float32, basis:2/float/float32 |
[8.95035, -1.1171, 5.25166, -2.02226, -1.1171, 9.8502, -2.97419, 1.69772, …] shape [4, 4] · float32 · Tensor |
Bucket 2 of 3: arg 1: rank 2, kind float, dtype float32
3 implementations from 3 papers share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 3 distinct outputs, largest cluster first. Values are the first 8 of the recorded output, flattened.
| Cluster (same digest to six decimals) | Members | Shared output on this bucket's input |
|---|---|---|
| 1 implementation 1 paper 0f4c8f750d14 |
GIE-master/code/models.py bd39c363 recorded x:2/float/float32; c=0.5 |
[0.848712, -0.722131, 0.224135, -0.325283, -0.425079, -0.485166, -0.312041, 0.269727, …] shape [4, 8] · float32 · Tensor |
| 1 implementation 1 paper 1facc0fc0062 |
util/attack.py e395d8d2 recorded ori_pt:2/float/float32; threshold=0.5, order=inf |
[0.5, -0.5, 0.476053, -0.5, -0.5, -0.5, -0.5, 0.5, …] shape [4, 8] · float32 · Tensor |
| 1 implementation 1 paper d845e7bd66a8 |
hypcbc/model/model.py 85d8ee3d recorded x:2/float/float32; c=1.0 |
[0.601938, -0.512162, 0.158965, -0.230703, -0.301482, -0.344097, -0.221311, 0.1913, …] shape [4, 8] · float32 · Tensor |
Bucket 3 of 3: arg 1: rank 1, kind float, dtype float64
1 implementation from 1 paper share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 1 distinct output, largest cluster first. Values are the first 8 of the recorded output, flattened.
| Cluster (same digest to six decimals) | Members | Shared output on this bucket's input |
|---|---|---|
| 1 implementation 1 paper 11cb54798a4a |
core/ccm.py 15618800 recorded v:1/float/float64; z=2.0 |
[0, 0.406334, 1.14681, 0, 0.0729472, 0.302234, 0, 0.0716694] shape [8] · float64 · ndarray |
Identical values to six decimals (the recorded digest) on the shared input are agreement on those inputs, not equivalence; where a cluster's members carry recorded values, the largest difference among them is shown under the cluster. Paper titles are the archive's archive 2025-07-28 where the paper is in the archive and the graph's where it was added by Syntology; papers with no page here are shown by their recorded paper id only. A paper count above the implementation count means one implementation (one code sha) is held from several papers' repositories and counts once. Per-sample status, licence and fingerprint records for each paper are on its paper page. JSON twin: /census/project.json.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections