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cosine_dist

Syntologyentry name in harvested coderead from the graph 2026-09-24

cosine_dist appears in the code Syntology harvested for 25 papers, as 7 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 1 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named cosine_dist do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 7 distinct code bodies named cosine_dist; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
0ran
6unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 25 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

25 papers shown of 25, newest first; 25 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 2 papers added by Syntology; 6 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
AgriVariant: Variant Effect Prediction using DeepChem-Variant for Precision Breeding in Rice added by Syntology 2026-02 (from id) deepchem/deepchem/deepchem/models/layers.py 8118227c2c4ceea7 unverified MIT (permissive)
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification added by Syntology 2025-10 (from id) stone96123/MDReID/layers/triplet_loss.py 71b4e1d375d8fd78 unverified no licence file found · pointer only
arXiv:2507.01884 2025-07 (from id) zhoujiahuan1991/ICCV2025-SPRED/reid/loss/loss_uncertrainty.py 71b4e1d375d8fd78 unverified no licence file found · pointer only
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification 14 Dec 2024 924973292/demo/layers/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
Generalizable Person Re-identification via Balancing Alignment and Uniformity 18 Nov 2024 yoonkicho/BAU/bau/loss/triplet.py 97bcc985e3ddff46 unverified MIT (permissive)
AnyPattern: Towards In-context Image Copy Detection 21 Apr 2024 wangwenhao0716/anypattern/Train/dg/loss/triplet.py 97bcc985e3ddff46 unverified MIT (permissive)
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification 15 Mar 2024 924973292/EDITOR/layers/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification 15 Dec 2023 asuradayuci/tf-clip/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation 15 Dec 2023 924973292/top-reid/layers/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification 24 Jun 2023 raywang335/L2RCLIP/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
DC-Former: Diverse and Compact Transformer for Person Re-Identification 28 Feb 2023 ant-research/Diverse-and-Compact-Transformer/loss/dissimilar_loss.py 6e0d123178c47127 unverified MIT (permissive)
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification 23 Nov 2021 damo-cv/TransReID-SSL/transreid_pytorch/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT recorded; this copy not marked cleared · pointer only
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation 13 Sep 2021 cdtrans/cdtrans/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
An Empirical Study of Vehicle Re-Identification on the AI City Challenge 20 May 2021 michuanhaohao/AICITY2021_Track2_DMT/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition 20 Oct 2020 lovelyqian/AMeFu-Net/classifier_with_loss.py d2788db765438921 unverified MIT (permissive)
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond 11 Jun 2020 WangWenhao0716/Attentive-WaveBlock/awb/loss/triplet.py 97bcc985e3ddff46 unverified MIT (permissive)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification 6 Jan 2020 yxgeee/mmt/mmt/loss/triplet.py be7455cd22c595af ran · fixture could not drive it fingerprinted MIT (permissive)
Relation-Aware Global Attention for Person Re-identification 5 Apr 2019 microsoft/Relation-Aware-Global-Attention-Networks/reid/loss/loss_set.py 4be3d910a039412b unverified MIT (permissive)
Learning Discriminative Features with Multiple Granularities for Person Re-Identification 4 Apr 2018 WangTaoAs/MGN_ReID/loss/triplet_loss.py 71b4e1d375d8fd78 unverified Apache-2.0 (permissive)
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking 6 Sep 2016 hh23333/tsd/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
arXiv:aaai_32878 924973292/DeMo/layers/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
arXiv:aaai_28398 ziwang1121/HTT/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
arXiv:aaai_25225 Syliz517/CLIP-ReID/loss/triplet_loss.py 71b4e1d375d8fd78 unverified MIT (permissive)
arXiv:aaai_19970 LunarShen/SECRET/secret/loss/triplet.py 97bcc985e3ddff46 unverified MIT (permissive)
arXiv:Xu_Distribution-aware_Knowledge_Prototyping_for_Non-exemplar_Lifelong_Person_Re-identification_CVPR_2024_paper zhoujiahuan1991/CVPR2024-DKP/reid/loss/loss_uncertrainty.py 71b4e1d375d8fd78 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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