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_expand_mask

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

_expand_mask: 13 implementations from 13 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 2 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:

Bucket 1 of 1: arg 1: rank 2, kind float, dtype float32

13 implementations from 13 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
10 implementations
10 papers
d484647ae241
recorded values identical

M2PT/model/llava_archPT.py 0bac4ffb
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

src/ssvp_slt/modeling/sign_bart.py 24b08fbe
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

trol/arch_internlm2/modeling_trol.py 3794e953
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

MarT/models/modeling_clip.py 4b1fb3ae
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

code/model/deepresonance.py 61ecf291
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

model/prompt_clip.py 749dd08d
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

sven/model.py 775a8405
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

src/tag_llama.py a8522744
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

self_speculation/llama_model_utils.py fc6b3d6f
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3

memformers/models/membart/modeling_membart.py ff8c2ca5
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=3
[-3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, …]
shape [4, 1, 3, 8] · float32 · Tensor
3 implementations
3 papers
a01bbf2f1a25
recorded values identical

multimodal_model/model_architecture.py 3f110f8f
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=None

models/modeling_clip.py 93c68876
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=None

model/Planner.py 9feb0283
recorded mask:2/float/float32; dtype=torch.float32, tgt_len=None
[-3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, -3.40282e+38, …]
shape [4, 1, 8, 8] · 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/expand-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