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lora_state_dict

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

lora_state_dict appears in the code Syntology harvested for 23 papers, as 5 distinct code bodies found in 23 places (a place is one code body under one paper). At least one of them ran in 20 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 lora_state_dict 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 3 of the 5 distinct code bodies named lora_state_dict; 2 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
3ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 23 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

23 papers shown of 23, newest first; 23 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 7 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
Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models added by Syntology 2026-06 (from id) KQL11/Deep-VRM/ms-swift/swift/tuners/lora_layers.py 974f5e5ea25a6532 ran Apache-2.0 (permissive)
HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents added by Syntology 2026-05 (from id) DeepExperience/HyperEyes/SFT/ms-swift-hypereyes/swift/tuners/lora_layers.py 974f5e5ea25a6532 ran no licence file found · pointer only
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning added by Syntology 2026-05 (from id) shihaohou/FedPuReL/loralib/utils.py 660073ae6862ac6e ran no licence file found · pointer only
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation added by Syntology 2026-04 (from id) YBZh/CheXOne/swift/tuners/lora_layers.py 974f5e5ea25a6532 ran Apache-2.0 (permissive)
Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning added by Syntology 2026-02 (from id) wdqqdw/Echo/ms-swift/swift/tuners/lora_layers.py 974f5e5ea25a6532 ran no licence file found · pointer only
The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs added by Syntology 2026-02 (from id) ruz048/AutoLoRA/loralib/utils.py 660073ae6862ac6e ran no licence file found · pointer only
Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models added by Syntology 2025-09 (from id) newLLing/Table2LaTeX-RL/swift/tuners/lora_layers.py 974f5e5ea25a6532 ran Apache-2.0 (permissive)
Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models 17 Jun 2025 lingli1996/GLOBE/swift/tuners/lora_layers.py 974f5e5ea25a6532 ran Apache-2.0 (permissive)
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning 28 May 2025 qhmiao/P-M-for-Continual-Learning/lora/utils.py 660073ae6862ac6e ran Apache-2.0 (permissive)
CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models 27 Nov 2024 shawnan-whu/choice/ms-swift/swift/tuners/lora_layers.py 97f780e147e59a1a unverified MIT (permissive)
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models 7 Nov 2024 allenzren/open-pi-zero/src/model/lora.py 52614cdfc99cf150 unverified MIT (permissive)
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration 20 Oct 2024 shallowdream204/lora-ir/loralib/utils.py 660073ae6862ac6e ran Apache-2.0 (permissive)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning 12 Oct 2024 pumpkin-co/mtl-lora/image_text_understanding/VL-T5/src/lora/utils.py 660073ae6862ac6e ran MIT (permissive)
Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management 20 Sep 2024 waltonfuture/Diabetica/swift/swift/tuners/lora_layers.py 97f780e147e59a1a unverified MIT (permissive)
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition 28 Jun 2024 xinghaowu/feddecomp/loralib/utils.py 660073ae6862ac6e ran no licence file found · pointer only
LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model 7 Jun 2024 kennethwdk/LocLLM/models/lora.py e7af7e6c543635d7 ran MIT (permissive)
ConvLoRA and AdaBN based Domain Adaptation via Self-Training 7 Feb 2024 aleemsidra/convlora/LoRA/loralib/utils.py 660073ae6862ac6e ran MIT (permissive)
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference 22 Jan 2024 ROIM1998/APT/loralib/utils.py 660073ae6862ac6e ran MIT (permissive)
The Expressive Power of Low-Rank Adaptation 26 Oct 2023 uw-madison-lee-lab/expressive_power_of_lora/references/loralib/utils.py 660073ae6862ac6e ran no licence file found · pointer only
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning 17 Nov 2022 jamessealesmith/construct-vl/loralib/utils.py 660073ae6862ac6e ran MIT recorded; this copy not marked cleared · pointer only
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? 16 Feb 2022 guanzhchen/petuning/model/lora/utils.py 660073ae6862ac6e ran MIT (permissive)
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning 1 Feb 2022 microsoft/LoRA/loralib/utils.py 660073ae6862ac6e ran MIT (permissive)
arXiv:Zhu_RCL_Reliable_Continual_Learning_for_Unified_Failure_Detection_CVPR_2024_paper Impression2805/RCL/model/LoRA_for_resnet.py 660073ae6862ac6e ran 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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