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init_to_zero

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

init_to_zero appears in the code Syntology harvested for 17 papers, as 2 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 13 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 init_to_zero 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 2 distinct code bodies named init_to_zero; 1 is 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
1ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 17 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

17 papers shown of 17, newest first; 17 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 4 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
DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts added by Syntology 2026-05 (from id) amazon-science/dualkv-flash-attn-for-rl/flash-attention/flash_attn/flash_attn_triton.py 1586b639a5abd0b0 ran licence not identified · pointer only
ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers added by Syntology 2026-04 (from id) Dao-AILab/flash-attention/flash_attn/flash_attn_triton.py 1586b639a5abd0b0 ran BSD-3-Clause (permissive)
Optimal Decay Spectra for Linear Recurrences added by Syntology 2026-04 (from id) SiLifen/PoST/post_kernels/ssd_chunk_state.py f7a500c0f491fa7a unverified Apache-2.0 (permissive)
Contrastive Language-Image Mamba Pretraining added by Syntology 2026-01 (from id) NimrodShabtay/CLIMP/models/vmamba/mamba2/ssd_bmm.py f7a500c0f491fa7a unverified no licence file found · pointer only
Fast and Low-Cost Genomic Foundation Models via Outlier Removal 1 May 2025 MAGICS-LAB/GERM/DNABERT2/flash_attn_triton.py 1586b639a5abd0b0 ran MIT (permissive)
State Space Model Meets Transformer: A New Paradigm for 3D Object Detection 18 Mar 2025 OpenSpaceAI/DEST3D/issm_triton/issm_chunk_scan.py f7a500c0f491fa7a unverified MIT (permissive)
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues 19 Nov 2024 automl/unlocking_state_tracking/mamba_dev/mamba_ssm/ops/triton/ssd_chunk_state.py f7a500c0f491fa7a unverified no licence file found · pointer only
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers 13 Jul 2024 goombalab/hydra/hydra/bert/src/flash_attn_triton.py 1586b639a5abd0b0 ran MIT (permissive)
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision 11 Jul 2024 dao-ailab/flash-attention/flash_attn/flash_attn_triton.py 1586b639a5abd0b0 ran BSD-3-Clause (permissive)
Just read twice: closing the recall gap for recurrent language models 7 Jul 2024 HazyResearch/prefix-linear-attention/based/ops/triton/linear.py 1586b639a5abd0b0 ran no licence file found · pointer only
Tokenization Is More Than Compression 28 Feb 2024 kensho-technologies/timtc_vocabs_models/models/1.3b/bpe_merge_3_40960/flash_attn_triton.py 1586b639a5abd0b0 ran no licence file found · pointer only
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment 21 Feb 2024 hitsz-tmg/cognitive-visual-language-mapper/LLaVA/llava/model/language_model/mpt/flash_attn_triton.py 1586b639a5abd0b0 ran no licence file found · pointer only
DNABERT-S: Pioneering Species Differentiation with Species-Aware DNA Embeddings 13 Feb 2024 magics-lab/dnabert_s/evaluate/model_codes/flash_attn_triton.py 1586b639a5abd0b0 ran no licence file found · pointer only
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning 25 Dec 2023 hkust-nlp/deita/src/deita/alignment/flash_attn/triton_flash_attention.py 1586b639a5abd0b0 ran Apache-2.0 (permissive)
HyperAttention: Long-context Attention in Near-Linear Time 9 Oct 2023 amirzandieh/HyperAttention/src/flash_attn_triton.py 1586b639a5abd0b0 ran Apache-2.0 (permissive)
Efficient Memory Management for Large Language Model Serving with PagedAttention 12 Sep 2023 ROCm/flash-attention/flash_attn/flash_attn_triton.py 1586b639a5abd0b0 ran BSD-3-Clause (permissive)
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel 21 Apr 2023 pytorch-labs/applied-ai/kernels/needs_perf_help/fp8_rowwise_tma_persistent.py 1586b639a5abd0b0 ran BSD-3-Clause (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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