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square_distance

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

square_distance: 11 implementations from 18 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 4 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.

Bucket 1 of 2: arg 1: rank 3, kind float, dtype float32 · arg 2: rank 3, kind float, dtype float32

10 implementations from 17 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)	Members	Shared output on this bucket's input
7 implementations 12 papers 4bbeb81094d5 recorded values identical	Rethinking Network Design and Local Geometry in Point... GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Purge-Gate: Backpropagation-Free Test-Time Adaptation... added by Syntology one code sha held from 3 papers' repositories models/GAPrompt.py 3bfe172e recorded src:3/float/float32, dst:3/float/float32 SE(3) Diffusion Model-based Point Cloud Registration for... Robust Point Cloud Registration Framework Based on Deep... one code sha held from 2 papers' repositories models/Net_noais.py 4db73dd5 recorded src:3/float/float32, dst:3/float/float32 Skeleton Merger: an Unsupervised Aligned Keypoint Detector Mind2Cloud: EEG-to-Point Cloud Generation with... added by Syntology one code sha held from 2 papers' repositories merger/merger_net.py 580dee67 recorded src:3/float/float32, dst:3/float/float32 RISurConv: Rotation Invariant Surface... RI-MAE: Rotation-Invariant Masked AutoEncoders for... one code sha held from 2 papers' repositories models/risurconv_utils.py bba5dc7c recorded src:3/float/float32, dst:3/float/float32 R3PM-Net: Real-time, Robust, Real-world Point Matching Network added by Syntology r3pm_net/model.py 3f5fbb46 recorded src:3/float/float32, dst:3/float/float32 Grounding 3D Object Affordance from 2D Interactions in Images model/IAGNet.py 4b492b12 recorded src:3/float/float32, dst:3/float/float32 PointNeXt: Revisiting PointNet++ with Improved Training... models/point_transformer.py cb46d511 recorded src:3/float/float32, dst:3/float/float32	[9.53674e-07, 7.71112, 24.887, 18.0541, 7.71112, 0, 23.9619, 19.2897, …] shape [2, 4, 4] · float32 · Tensor
2 implementations 4 papers 4c5885bd7deb recorded values identical	RadarMOSEVE: A Spatial-Temporal Transformer Network for... Towards More Diverse and Challenging Pre-training for... added by Syntology one code sha held from 2 papers' repositories models/MOS/model.py 74c3fe06 recorded src:3/float/float32, dst:3/float/float32 NU-MCC: Multiview Compressive Coding with Neighborhood... AIR-Nets: An Attention-Based Framework for Locally... one code sha held from 2 papers' repositories models/AIRnet.py b1776b6e recorded src:3/float/float32, dst:3/float/float32	[0, 7.71112, 24.887, 18.0541, 7.71112, 0, 23.9619, 19.2897, …] shape [2, 4, 4] · float32 · Tensor
1 implementation 1 paper 0effecf918aa	MARS: Multimodal Active Robotic Sensing for Articulated... mars/models/mffp.py 24896468 recorded src:3/float/float32, dst:3/float/float32	[0, 7.71112, 24.887, 18.0541, 7.71112, 0, 23.9619, 19.2897, …] shape [2, 4, 4] · float32 · Tensor

Bucket 2 of 2: arg 1: rank 2, 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)	Members	Shared output on this bucket's input
1 implementation 1 paper 66687aadf862	Neural Distance Embeddings for Biological Sequences edit_distance/models/pair_encoder.py 74d61278 recorded t1_emb:2/float/float32, t2_emb:2/float/float32	[0, 0, 0, 0] shape [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/square-distance.json.

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