Conv
Conv: 8 implementations from 8 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 8 distinct outputs across 2 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:
- Every examined implementation of this name that took an array argument ran on the shared input.
- 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.
- 8 compared members are class-bearing (tagged class): the class was constructed with seeded weights in evaluation mode and then called, so its recorded output depends on that initialisation as well as on the forward computation.
Bucket 1 of 2: arg 1: rank 4, kind float, dtype float32
6 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); 6 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 16db17812ebd |
class training_testing_code/LISPLUT/LISPLUT_M.py 334cc5c9 recorded x:4/float/float32 |
[-0.661603, 0.404552, 0.754689, -0.970863, -1.16408, 1.01219, 0.881081, -1.96136, …] shape [2, 4, 4, 4] · float32 · Tensor |
| 1 implementation 1 paper 35590a9242c1 |
class MAS-SAM/sam_lora_image_encoder.py aa1d3f6e recorded x:4/float/float32 |
[1.9104, -0.0570247, -0.106393, 0.0120317, 0.607098, -0.0598723, -0.150487, 0.696993, …] shape [2, 4, 4, 4] · float32 · Tensor |
| 1 implementation 1 paper 607026b564fc |
class radio/eradio_model.py 23523ebc recorded x:4/float/float32 |
[1.7174, -0.0594097, -0.117045, 0.0119486, 0.532215, -0.251671, -0.181629, 0.608185, …] shape [2, 4, 4, 4] · float32 · Tensor |
| 1 implementation 1 paper 669bfe71a452 |
class model/hourglass.py 2573d074 recorded x:4/float/float32 |
[1.95945, 0, 0, 0.0236183, 0.776935, 0, 0, 0.864413, …] shape [2, 4, 4, 4] · float32 · Tensor |
| 1 implementation 1 paper ba487e4ef64b |
class models/DSCNet.py f279a135 recorded x:4/float/float32 |
[1.35942, 0, 0, 0, 0.332252, 0, 0, 0.408238, …] shape [2, 8, 4, 4] · float32 · Tensor |
| 1 implementation 1 paper ca9c0e6998de |
class unlearn.py d574992e recorded input:4/float/float32 |
[1.95945, 0, 0, 0.0236183, 0.776935, 0, 0, 0.864413, …] shape [2, 4, 4, 4] · float32 · Tensor |
Bucket 2 of 2: arg 1: rank 3, kind float, dtype float32
2 implementations 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); 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 |
|---|---|---|
| 1 implementation 1 paper 4d8c4909babf |
class bddm/models/diffwave.py 267f77d5 recorded x:3/float/float32 |
[0.158444, 0.949217, 0.157169, 0.622094, 0.399472, -0.00928695, 0.182535, -0.000131861, …] shape [2, 8, 8] · float32 · Tensor |
| 1 implementation 1 paper 6ee758442e43 |
class WaveNet.py 2a41b9a5 recorded signal:3/float/float32 |
[-1.17791, 1.1353, -0.619868, 0.203455, 0.344583, -0.488272, -0.625739, 1.33683, …] shape [2, 3, 6] · 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/conv.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