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rms_norm_ref

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

rms_norm_ref appears in the code Syntology harvested for 13 papers, as 3 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry 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 rms_norm_ref 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 0 of the 3 distinct code bodies named rms_norm_ref; 3 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
0ran · fixture could not drive it
0ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 15 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

13 papers shown of 13, newest first; 15 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 3 papers added by Syntology. 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
SfMamba: Efficient Source-Free Domain Adaptation via Selective Scan Modeling added by Syntology 2026-01 (from id) chenxi52/SfMamba/models/mamba2/layer_norm.py 8ddbc28ea965c11f unverified no licence file found · pointer only
Contrastive Language-Image Mamba Pretraining added by Syntology 2026-01 (from id) NimrodShabtay/CLIMP/models/vmamba/mamba2/layer_norm.py 8ddbc28ea965c11f unverified no licence file found · pointer only
Contrastive Language-Image Mamba Pretraining added by Syntology 2026-01 (from id) NimrodShabtay/CLIMP/models/vmamba/mamba2/layernorm_gated.py 019b69251d0aed68 unverified no licence file found · pointer only
MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs added by Syntology 2026-01 (from id) XsChen524/mode-mamba-ts/src/mamba_mode/ops/triton/layernorm.py ab802ae3195c6316 unverified no licence file found · pointer only
State Space Model Meets Transformer: A New Paradigm for 3D Object Detection 18 Mar 2025 OpenSpaceAI/DEST3D/issm_triton/layernorm_gated.py 019b69251d0aed68 unverified MIT (permissive)
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention 16 Feb 2025 microsoft/seerattention/seer_attn/modules/layernorm.py ab802ae3195c6316 unverified MIT (permissive)
Parameter-Efficient Fine-Tuning of State Space Models 11 Oct 2024 furiosa-ai/ssm-peft/mamba-peft/mamba_ssm_peft/ops/triton/layernorm.py ab802ae3195c6316 unverified no licence file found · pointer only
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions 9 Oct 2024 codefuse-ai/rodimus/ops/layernorm_gated.py 019b69251d0aed68 unverified Apache-2.0 (permissive)
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions 9 Oct 2024 codefuse-ai/rodimus/ops/layernorm.py ab802ae3195c6316 unverified Apache-2.0 (permissive)
Cross-attention Inspired Selective State Space Models for Target Sound Extraction 7 Sep 2024 WuDH2000/CrossMamba/layer_norm.py 8ddbc28ea965c11f unverified no licence file found · pointer only
The Mamba in the Llama: Distilling and Accelerating Hybrid Models 27 Aug 2024 itsdaniele/speculative_mamba/specmamba/ops/triton/layernorm.py ab802ae3195c6316 unverified Apache-2.0 (permissive)
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection 15 Jun 2024 gwenzhang/voxel-mamba/mamba/mamba_ssm/ops/triton/layernorm.py ab802ae3195c6316 unverified Apache-2.0 (permissive)
Audio Mamba: Bidirectional State Space Model for Audio Representation Learning 5 Jun 2024 mhamzaerol/audio-mamba-aum/vim-mamba_ssm/mamba_ssm/ops/triton/layernorm.py ab802ae3195c6316 unverified BSD-3-Clause (permissive)
Scalable MatMul-free Language Modeling 4 Jun 2024 ridgerchu/matmulfreellm/mmfreelm/modules/fused_norm_gate.py ab802ae3195c6316 unverified Apache-2.0 (permissive)
State Space Models as Foundation Models: A Control Theoretic Overview 25 Mar 2024 jsie7/ssm-benchmark/mamba-1.1.4/mamba_ssm/ops/triton/layernorm.py ab802ae3195c6316 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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