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rename_key_and_reshape_tensor

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

rename_key_and_reshape_tensor appears in the code Syntology harvested for 22 papers, as 5 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 21 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 rename_key_and_reshape_tensor 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 4 of the 5 distinct code bodies named rename_key_and_reshape_tensor; 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
4ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 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

22 papers shown of 22, 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. 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
CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection added by Syntology 2026-06 (from id) shen8424/CORE/libs/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran no licence file found · pointer only
DSCD: Large Language Model Detoxification with Self-Constrained Decoding added by Syntology 2025-10 (from id) ZHANGJINKUI/DSCD/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran MIT (permissive)
Cautious Next Token Prediction 3 Jul 2025 wyzjack/CNTP/custom_transformers_packages/gsm8k_strategyqa/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran MIT (permissive)
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models 25 May 2025 wangqinsi1/2025-ICML-CoreMatching/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran Apache-2.0 (permissive)
MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads 19 Feb 2025 NeosKnight233/MuDAF/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran Apache-2.0 (permissive)
Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation 2 Sep 2024 mayuelala/followyourcanvas/diffusers/modeling_flax_pytorch_utils.py 5f1d8a0f6c5bcb3e ran no licence file found · pointer only
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation 17 Jun 2024 kaist-cvml-lab/part-clipseg/transformers/modeling_flax_pytorch_utils.py 61779b0406a59cfc ran MIT (permissive)
GrootVL: Tree Topology is All You Need in State Space Model 4 Jun 2024 easonxiao-888/grootvl/GrootL/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran no licence file found · pointer only
Invisible Backdoor Attacks on Diffusion Models 2 Jun 2024 invisibletriggerdiffusion/invisible_triggers_for_diffusion/diffusers/modeling_flax_pytorch_utils.py 5f1d8a0f6c5bcb3e ran no licence file found · pointer only
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning 30 Apr 2024 clin0212/hydralora/HydraLoRA/transformers/modeling_flax_pytorch_utils.py 61779b0406a59cfc ran no licence file found · pointer only
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models 20 Mar 2024 ivattyue/SC-Tune/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran MIT (permissive)
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models 14 Mar 2024 Haochen-Luo/CroPA/transformers/modeling_flax_pytorch_utils.py 30d50ff2ced6b7a3 ran no licence file found · pointer only
Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts 13 Mar 2024 mayuelala/followyourclick/diffusers/modeling_flax_pytorch_utils.py 5f1d8a0f6c5bcb3e ran no licence file found · pointer only
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts 20 Feb 2024 bumble666/hypermoe_early_version/gpt-2-moe/transformers/modeling_flax_pytorch_utils.py 61779b0406a59cfc ran Apache-2.0 (permissive)
On the Robustness of Editing Large Language Models 8 Feb 2024 xbmxb/edit_analysis/code/transformers/modeling_flax_pytorch_utils.py 61779b0406a59cfc ran no licence file found · pointer only
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin 15 Dec 2023 ablustrund/loramoe/transformers/modeling_flax_pytorch_utils.py 61779b0406a59cfc ran no licence file found · pointer only
TLM: Token-Level Masking for Transformers 28 Oct 2023 Young1993/tlm/transformers/modeling_flax_pytorch_utils.py 1236c8c8ab59ff20 ran no licence file found · pointer only
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts 15 Oct 2023 shwai-he/meo/transformers/modeling_flax_pytorch_utils.py 61779b0406a59cfc ran no licence file found · pointer only
OV-PARTS: Towards Open-Vocabulary Part Segmentation 8 Oct 2023 openrobotlab/ov_parts/transformers/modeling_flax_pytorch_utils.py 61779b0406a59cfc ran no licence file found · pointer only
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation 25 May 2023 veason-silverbullet/unitrec/transformers/modeling_flax_pytorch_utils.py 1236c8c8ab59ff20 ran MIT (permissive)
Improving Diffusion Models for Scene Text Editing with Dual Encoders 12 Apr 2023 ucsb-nlp-chang/diffste/diffusers/modeling_flax_pytorch_utils.py 5f1d8a0f6c5bcb3e ran MIT (permissive)
Identification of Negative Transfers in Multitask Learning Using Surrogate Models 25 Mar 2023 neu-statsml-research/task-modeling/transformers/modeling_flax_pytorch_utils.py 5c0eb4c5f8c5c1de 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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