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posemb_sincos_2d

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

posemb_sincos_2d appears in the code Syntology harvested for 20 papers, as 9 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 17 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 posemb_sincos_2d 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 6 of the 9 distinct code bodies named posemb_sincos_2d; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
2ran · fixture could not drive it
2ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 22 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

20 papers shown of 20, newest first; 22 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; 1 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
RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies ROBOHARNESS: MEMORY-DRIVEN ORCHESTRATION OF HETEROGENEOUS ROBOT POLICIES FOR LONG-HORIZON PLANNING added by Syntology 2026-07 (from id) Physical-Intelligence/openpi/src/openpi/models/siglip.py 2d67a8a756fe7cf8 ran · honoured contract Apache-2.0 (permissive)
Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts added by Syntology 2026-07 (from id) snumprlab/dart/src/openpi/models/siglip.py 2d67a8a756fe7cf8 ran · honoured contract Apache-2.0 (permissive)
Hearing Anywhere in Any Environment 14 Apr 2025 identical code first harvested elsewhere cfe18b9cc8afbfe9 ran · honoured contract licence of this copy not recorded
SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale 20 Jun 2024 identical code first harvested elsewhere 17f6d223949a7e58 ran · fixture could not drive it licence of this copy not recorded
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation 4 Jun 2024 ai-med/stablepose/ldm/modules/pmsa_vit.py cfe18b9cc8afbfe9 ran · honoured contract GPL-3.0 (copyleft) · pointer only
Quantum Vision Transformers for Quark-Gluon Classification 16 May 2024 salcc/QuantumTransformers/quantum_transformers/transformers.py d921814db2cd162f ran GPL-3.0 (copyleft) · pointer only
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead 22 Jan 2024 marlonbecker/msam/models/vit.py 17f6d223949a7e58 ran · fixture could not drive it GPL-3.0 (copyleft) · pointer only
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection 29 Oct 2023 tzjtatata/myriad/minigpt4/models/fuser.py cfe18b9cc8afbfe9 ran · honoured contract no licence file found · pointer only
Learning to (Learn at Test Time) 20 Oct 2023 test-time-training/mttt/model.py a9b79a3fcbad18af ran Apache-2.0 (permissive)
Vision Transformers Need Registers 28 Sep 2023 borisdayma/clip-jax/clip_jax/modeling.py 2d67a8a756fe7cf8 ran · honoured contract Apache-2.0 (permissive)
An Inverse Scaling Law for CLIP Training 11 May 2023 UCSC-VLAA/CLIPA/clipa_jax/models/common.py 3143c90644184650 unverified Apache-2.0 (permissive)
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers 11 May 2023 google-research/google-research/moe_mtl/modeling/vit.py 2d67a8a756fe7cf8 ran · honoured contract Apache-2.0 (permissive)
SpectFormer: Frequency and Attention is what you need in a Vision Transformer 13 Apr 2023 Hazqeel09/ellzaf_ml/ellzaf_ml/models/spectformer.py 17f6d223949a7e58 ran · fixture could not drive it MIT (permissive)
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images 13 Dec 2022 liupei101/advmil/model/backbone_utils.py a81a27cc1f5ac5c9 unverified MIT (permissive)
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics 9 May 2022 jianxun-wang/ppnn/src/models.py 17f6d223949a7e58 ran · fixture could not drive it MIT (permissive)
Better plain ViT baselines for ImageNet-1k 3 May 2022 identical code first harvested elsewhere cfe18b9cc8afbfe9 ran · honoured contract licence of this copy not recorded
Better plain ViT baselines for ImageNet-1k 3 May 2022 conceptofmind/Simple-ViT-flax/simple_vit.py b848f8a0a583e58b ran · fixture could not drive it fingerprinted MIT (permissive)
Better plain ViT baselines for ImageNet-1k 3 May 2022 yuyangshu/retinavit/big_vision/models/vit.py 2d67a8a756fe7cf8 ran · honoured contract Apache-2.0 (permissive)
Monarch: Expressive Structured Matrices for Efficient and Accurate Training 1 Apr 2022 pascalcarrivain/ksmm/src/ksmm_py/model/vit.py 17f6d223949a7e58 ran · fixture could not drive it Apache-2.0 (permissive)
SepViT: Separable Vision Transformer 29 Mar 2022 lucidrains/vit-pytorch/vit_pytorch/simple_vit.py cfe18b9cc8afbfe9 ran · honoured contract MIT (permissive)
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization 18 Oct 2021 kentaroy47/vision-transformers-cifar10/models/simplevit.py 17f6d223949a7e58 ran · fixture could not drive it MIT (permissive)
arXiv:aaai_35277 vlgiitr/LoRA-Unlearn/vit/lora.py 455315d914d42139 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".

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