lp_loss
lp_loss appears in the code Syntology harvested for 20 papers, as 9 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 18 of the papers; 7 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 lp_loss 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 7 of the 9 distinct code bodies named lp_loss; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 9 of the 21 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; 21 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; 3 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression added by Syntology | 2026-06 (from id) | xuke225/EPTS/utils/reconstruction.py 8fcf6c2e205ea12b |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs added by Syntology | 2025-10 (from id) | naver-aics/anybcq/anybcq/quantization/anybcq.py ea5af2ff88120865 |
ran · fixture could not drive it fingerprinted | Apache-2.0 (permissive) |
| MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models | 16 Dec 2024 | cantbebetter2/mpq-dm/quant_scripts/quant_layer.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
| PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models | 10 Dec 2024 | modeltc/msbench/msbench/advanced_pts.py 46008b787459aa50 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models | 29 Oct 2024 | csguoh/intlora/utils/intlora_shift.py 8fcf6c2e205ea12b |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| PTQ4DiT: Post-training Quantization for Diffusion Transformers | 25 May 2024 | identical code first harvested elsewhere 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | licence of this copy not recorded |
| PTQ4SAM: Post-Training Quantization for Segment Anything | 6 May 2024 | chengtao-lv/PTQ4SAM/ptq4sam/solver/recon.py 8003cb7a5176e497 |
ran · our draft was wrong fingerprinted | no licence file found · pointer only |
| QNCD: Quantization Noise Correction for Diffusion Models | 28 Mar 2024 | huanpengchu/qncd/quant/quant_layer.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
| QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning | 6 Feb 2024 | hatchetProject/QuEST/qdiff/quant_layer.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing | 10 Nov 2023 | tsa18/PCR/quantization_tools/quantization/loss.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models | 5 Oct 2023 | ThisisBillhe/EfficientDM/quant_scripts/quant_layer.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | MIT (permissive) |
| EQ-Net: Elastic Quantization Neural Networks | 15 Aug 2023 | xuke225/EQ-Net/module/base_uaq.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | no licence file found · pointer only |
| EQ-Net: Elastic Quantization Neural Networks | 15 Aug 2023 | xuke225/EQ-Net/module/base_lsq.py dc5d39ef0041492d |
ran fingerprinted | no licence file found · pointer only |
| Towards Accurate Post-training Quantization for Diffusion Models | 30 May 2023 | changyuanwang17/apq-dm/utils/quant_util.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | Apache-2.0 (permissive) |
| QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization | 11 Mar 2022 | wimh966/QDrop/qdrop/solver/recon.py 8003cb7a5176e497 |
ran · our draft was wrong fingerprinted | MIT (permissive) |
| Representation Topology Divergence: A Method for Comparing Neural Network Representations | 31 Dec 2021 | nikitabalabin/topdis/BetaTCVAE_TopDis/rtd.py 230251fbc53d99a1 |
ran · honoured contract fingerprinted | no licence file found · pointer only |
| A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration | 13 Jun 2021 | yhhhli/SNN_Calibration/models/spiking_layer.py 54ab1b5bf761f953 |
unverified | MIT (permissive) |
| Deep multi-scale video prediction beyond mean square error | 17 Nov 2015 | dyelax/Adversarial_Video_Generation/Code/loss_functions.py 98805789ae7fe83c |
unverified | MIT (permissive) |
| arXiv:Zhang_AHCPTQ_Accurate_and_Hardware-Compatible_Post-Training_Quantization_for_Segment_Anything_Model_ICCV_2025_paper | Keio-CSG/AHCPTQ/ahcptq/solver/recon.py 8003cb7a5176e497 |
ran · our draft was wrong fingerprinted | Apache-2.0 (permissive) | |
| arXiv:Liu_PD-Quant_Post-Training_Quantization_Based_on_Prediction_Difference_Metric_CVPR_2023_paper | hustvl/PD-Quant/quant/quant_layer.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | Apache-2.0 (permissive) | |
| arXiv:Li_RepQ-ViT_Scale_Reparameterization_for_Post-Training_Quantization_of_Vision_Transformers_ICCV_2023_paper | zkkli/RepQ-ViT/classification/quant/quantizer.py 08c6ea7576220a13 |
ran · fixture could not drive it fingerprinted | Apache-2.0 (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