one_hot
one_hot: 18 implementations from 25 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 10 distinct outputs across 6 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:
- 4 more implementations of this name were examined but did not run on the shared input (IndexError 2, AssertionError 1, RuntimeError 1).
- 6 more implementations from 8 papers took no array argument and ran only on their own fixture arguments; no shared input existed for them, so they are not compared (on 6 the recorded shared-output digest is the own-fixture digest).
- Every compared output was digested.
Bucket 1 of 6: arg 1: rank 1, kind int, dtype int64
10 implementations from 14 papers share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 4 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 |
|---|---|---|
| 7 implementations 9 papers 7bcb5c10457d recorded values identical |
utils.py 4728dc20 recorded x:1/int/int64; num_classes=4, on_value=1.0, off_value=0.0, device='cpu' one code sha held from 2 papers' repositories code/Raindrop.py e5da4e42 recorded y_:1/int/int64 lib/consolidate.py 8431f92b recorded data:1/int/int64; max_value=4 code/models/FeatureBanks.py a67d611e recorded y:1/int/int64; max_size=None src/cnn_model.py af1cb734 recorded y_:1/int/int64 compute_metrics.py edfd7151 recorded a:1/int/int64 models/anchor_net.py fed03b1d recorded labels:1/int/int64; num_classes=4 |
[0, 0, 1, 0, 0, 1, 0, 0, …] shape [8, 4] · float32 · Tensor |
| 1 implementation 3 papers 941f711d4274 |
trades_r/sodef_eval_ode.py 64975423 recorded x:1/int/int64; K=3 |
[0, 0, 1, 0, 1, 0, 0, 0, …] shape [8, 3] · int64 · ndarray |
| 1 implementation 1 paper 8e24ea8fa1be |
RVFL.py ed89c1bf recorded x:1/int/int64; n_class=2 |
[0, 0, 0, 1, 0, 0, 1, 0, …] shape [8, 2] · float64 · ndarray |
| 1 implementation 1 paper e4c8691c6997 |
MEDM_VisDA_Res50.py a50f333c recorded label:1/int/int64 |
[0, 0, 1, 0, 0, 0, 0, 0, …] shape [8, 12] · float32 · Tensor |
Bucket 2 of 6: arg 1: rank 2, kind int, dtype int64
4 implementations from 6 papers share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 2 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 |
|---|---|---|
| 3 implementations 3 papers 60069f246d8e recorded values identical |
modules/modeling_moebert_gate.py 882d0552 recorded indices:2/int/int64; num_classes=4 model.py b95bc817 recorded indices:2/int/int64; depth=4, dim=2 utils.py defd9ff9 recorded a:2/int/int64; num_classes=4 |
[0, 0, 1, 0, 0, 0, 0, 1, …] shape [4, 8, 4] · int64 · Tensor |
| 1 implementation 3 papers b9fb866b9df0 |
train_aug.py 7c64c35b recorded indices:2/int/int64; depth=4 |
[1, 0, 0, 0, 1, 0, 0, 0, …] shape [4, 8, 4] · float32 · Tensor |
Bucket 3 of 6: arg 1: rank 1, kind float, dtype float32
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 dc768749f172 |
code/mgcvae.py 8cfd0918 recorded labels:1/float/float32; class_size=4 |
[0, 0, 0, 1, 1, 0, 0, 0, …] shape [8, 4] · float32 · Tensor |
Bucket 4 of 6: arg 1: rank 3, kind float, dtype float32
1 implementation from 2 papers 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 2 papers ee0d534dd385 |
train_s4GAN.py 3d0fa603 recorded label:3/float/float32 |
[0, 0, 0, 0, 0, 0, 0, 0, …] shape [2, 21, 4, 8] · float32 · Tensor |
Bucket 5 of 6: arg 1: rank 3, kind int, dtype int64
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 7c2a2a00abe3 |
models/hscnet.py 3dea70a3 recorded x:3/int/int64; N=25 |
[0, 1, 0, 0, 0, 0, 0, 0, …] shape [2, 25, 4, 8] · float32 · Tensor |
Bucket 6 of 6: arg 1: rank 4, kind float, dtype float32 · arg 2: rank 3, kind int, dtype int64
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 473565989e72 |
yolov1.py 76c3b477 recorded output:4/float/float32, label:3/int/int64; device='cpu' |
[0, 0, 1, 0, 1, 0, 0, 0, …] shape [2, 3, 4, 4] · float32 · Tensor |
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/one-hot.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