sample_mask
sample_mask: 4 implementations from 5 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 4 distinct outputs.
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.
- 1 more implementation from 6 papers took no array argument and ran only on its own fixture arguments; no shared input existed for it, so it is not compared (on 1 the recorded shared-output digest is the own-fixture digest).
- Every compared output was digested.
Bucket 1 of 1: arg 1: rank 1, kind int, dtype int64
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); 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 |
|---|---|---|
| 1 implementation 2 papers b2fe8c0415c6 |
load_data.py 72ba653e recorded idx:1/int/int64; l=7 |
[1, 1, 1, 1, 0, 0, 0] shape [7] · bool · ndarray |
| 1 implementation 1 paper 100e0f922c6f |
models/M3S.py 780134f8 recorded idx:1/int/int64; l=5 |
[1, 1, 1, 1, 0] shape [5] · bool · Tensor |
| 1 implementation 1 paper 3e41584d656a |
utils.py 61cb7d8c recorded idx:1/int/int64; l=10 |
[1, 1, 1, 1, 0, 0, 0, 0, …] shape [10] · bool · ndarray |
| 1 implementation 1 paper 7317d367e036 |
models/networks.py f3ac4b1a recorded sample_sizes:1/int/int64; max_size=4 |
[0, 0, 1, 1, 0, 1, 1, 1, …] shape [8, 4] · bool · 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/sample-mask.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