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phi

Syntologyfunction-name censuscensus 2026-09-22battery b986f7e04d79all samples with this name

phi: 8 implementations from 8 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 8 distinct outputs across 5 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:

Bucket 1 of 5: 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)MembersShared output on this bucket's input
1 implementation
1 paper
56657620bd1f

utils.py 91b5337c
recorded x:2/float/float32; phi_No=1
[1.87446, 0.162317, 1.42983, 0.43158, 0.329868, 0.282363, 0.447556, 1.49709, …]
shape [4, 8] · float32 · Tensor
1 implementation
1 paper
741211a3734c

modules/layers.py 3f5012a9
recorded x:2/float/float32
[0.0785772, 0.123049, 0.356204, 0.314239, 0.265403, 0.2346, 0.320278, 0.338565, …]
shape [4, 8] · float32 · Tensor
1 implementation
1 paper
8a77bf57cfb5

src/NTK-Attention/ntk_attn_demo.py 46730dd3
recorded x:2/float/float32
[2.07185, 0.401724, 1.28306, 0.663117, 0.584594, 0.541874, 0.6743, 1.34064, …]
shape [4, 8] · float32 · Tensor

Bucket 2 of 5: arg 1: rank 1, kind float, dtype float64

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)MembersShared output on this bucket's input
1 implementation
1 paper
141562362af1

encode.py 7ebe2a9b
recorded x:1/float/float64
[-2.34225, 0.145944, 0.640596, -1.43631, -0.193895, 0.0516734, nan, -0.195447]
shape [8] · float64 · ndarray · non-finite
1 implementation
1 paper
217442d0d20f

scat.py cc7b03c4
recorded lamb:1/float/float64
[-0.0999847, 0.845281, -0.10636, -0.208198, 0.807768, 0.981598, -0.0705864, 0.805146]
shape [8] · float64 · ndarray

Bucket 3 of 5: arg 1: rank 0, kind float, dtype float32 · arg 2: rank 2, 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)MembersShared output on this bucket's input
1 implementation
1 paper
3f98b21203d4

cage.py 879c9d9c
recorded theta:0/float/float32, l:2/float/float32
[-2.56663, -2.18383, -0.677817, -0.983702, -1.2855, -1.46721, -0.943656, -0.815694, …]
shape [4, 8] · float64 · Tensor

Bucket 4 of 5: arg 1: rank 1, kind float, dtype float64 · arg 2: 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)MembersShared output on this bucket's input
1 implementation
1 paper
77c644439954

preprocessing.py 5cdbbda4
recorded px:1/float/float64, py:1/float/float64
[0.785398, -2.35619, -2.35619, 0.785398, 0.785398, -2.35619, 0.785398, 0.785398]
shape [8] · float64 · ndarray

Bucket 5 of 5: arg 1: rank 1, kind int, dtype uint8

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)MembersShared output on this bucket's input
1 implementation
1 paper
60e9a3e9a3fd

examples/atari/train_a2c_ale.py 0a2023b3
recorded x:1/int/uint8
[0.00784314, 0.00392157, 0.0117647, 0, 0.00392157, 0.00784314, 0.00784314, 0.00784314]
shape [8] · float32 · 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/phi.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