Attention
Attention: 13 implementations from 12 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 10 distinct outputs across 4 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:
- 35 more implementations of this name were examined but did not run on the shared input (RuntimeError 34, AssertionError 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.
- 13 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 4: arg 1: rank 3, kind float, dtype float32
7 implementations from 7 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 |
|---|---|---|
| 2 implementations 2 papers 61b654db79d6 recorded values identical |
class models/backbone.py 8598c6b9 recorded x:3/float/float32 class models/bidir_modeling_crossattn.py b181227b recorded x:3/float/float32 |
[-0.215092, 0.272654, -0.166096, -0.224872, -0.0535068, 0.195691, 0.032025, 0.469848, …] shape [2, 4, 8] · float32 · Tensor |
| 2 implementations 2 papers 70a37b829270 recorded values identical |
class sonics/models/spectttra.py c3ac8c34 recorded x:3/float/float32
models/rfmsr.py cf18d01a recorded x:3/float/float32; rope=None |
[-0.215092, 0.272654, -0.166096, -0.224872, -0.0535068, 0.195691, 0.0320251, 0.469848, …] shape [2, 4, 8] · float32 · Tensor |
| 2 implementations 2 papers f9b2f741e78d recorded values identical |
class golf/model.py 6dc45d11 recorded x:3/float/float32; pos=None, ret_attn=False class Codes/multimae/multimae.py d969a5ba recorded x:3/float/float32 |
[-0.313875, 0.375622, -0.12825, -0.314344, -0.0956915, 0.406332, 0.125604, 0.486219, …] shape [2, 4, 8] · float32 · Tensor |
| 1 implementation 1 paper a331af7abd4a |
class models/early_exit.py f9763b61 recorded x:3/float/float32 |
[-0, 0.302949, -0.184552, -0, -0.059452, 0.217434, 0.0355834, 0.522054, …] shape [2, 4, 8] · float32 · Tensor |
Bucket 2 of 4: arg 1: rank 3, kind float, dtype float32 · arg 2: rank 3, kind float, dtype float32 · arg 3: rank 3, kind float, dtype float32
4 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); 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 1 paper 2626132f9192 |
class src/nlp/layers/encoder.py 6f534d51 recorded q:3/float/float32, k:3/float/float32, v:3/float/float32; mask=None |
[-0, 1.48999, -1.28467, -0, 0.235625, -1.2001, -0.311517, -0.154612, …] shape [2, 4, 8] · float32 · Tensor |
| 1 implementation 1 paper 5a2eda2611f0 |
class lightglue/lightglue.py a08f05b6 recorded q:3/float/float32, k:3/float/float32, v:3/float/float32; mask=None |
[-1.00379, 1.34099, -1.1562, -0.339274, 0.212062, -1.08009, -0.280365, -0.139151, …] shape [2, 4, 8] · float32 · Tensor |
| 1 implementation 1 paper e5a7b22e38a6 |
class TRANSFORMERS.py 8d12ff40 recorded query:3/float/float32, key:3/float/float32, value:3/float/float32; mask=None |
[-0.459559, -0.6186, 0.396802, -0.109149, 0.162055, -0.0981505, -0.0105498, -0.117563, …] shape [2, 4, 8] · float32 · Tensor |
| 1 implementation 1 paper f1e879c2058d |
class network/models/d2ls.py e843618e recorded q:3/float/float32, k:3/float/float32, v:3/float/float32 |
[0.240397, -0.0802591, -0.205289, 0.0541918, -0.292073, 0.605929, -0.417172, -0.00929932, …] shape [2, 4, 8] · float32 · Tensor |
Bucket 3 of 4: arg 1: rank 3, kind float, dtype float32 · arg 2: rank 3, 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 61b654db79d6 |
class models/hd_former.py d252bbac recorded fv:3/float/float32, fe:3/float/float32 |
[-0.215092, 0.272654, -0.166096, -0.224872, -0.0535068, 0.195691, 0.032025, 0.469848, …] shape [2, 4, 8] · float32 · Tensor |
Bucket 4 of 4: arg 1: rank 4, 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 859fd91fbb1a |
class code/model/decoder.py cc958048 recorded x:4/float/float32 |
[0.193572, -0.224079, 0.129158, 0.104469, 0.155505, -0.198878, 0.179483, 0.125382, …] 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/attention.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