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auto_pad_images

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

auto_pad_images appears in the code Syntology harvested for 20 papers, as 1 distinct code body found in 20 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 auto_pad_images 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 1 distinct code body named auto_pad_images; 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
0ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 20 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; 20 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; 2 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
UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing added by Syntology 2026-04 (from id) Yunkaidang/UHR/with-SAM/longva/longva/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding added by Syntology 2026-01 (from id) ziHoHe/VidLaDA/train/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
Cross-Layer Injection for Deep Vision-Language Fusion added by Syntology 2026-01 (from id) codefuse-ai/CLI/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs 27 Jun 2025 HumanMLLM/LLaVA-Scissor/llava/mm_utils.py 3c8823948724e269 unverified no licence file found · pointer only
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors 30 May 2025 LaVi-Lab/Video-3D-LLM/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
LaViDa: A Large Diffusion Language Model for Multimodal Understanding 22 May 2025 jacklishufan/lavida/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation 20 May 2025 opengvlab/videochat-flash/llava-train_videochat/llava/mm_utils.py 3c8823948724e269 unverified MIT (permissive)
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL 15 Apr 2025 wdrink/simplear/simpar/mm_utils.py 3c8823948724e269 unverified MIT (permissive)
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model 30 Mar 2025 DriveVLA/OpenDriveVLA/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing 13 Mar 2025 1999Lyd/KVTP/llava/mm_utils.py 3c8823948724e269 unverified MIT (permissive)
LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer 18 Dec 2024 thunlp/llava-uhd/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition 12 Dec 2024 dvlab-research/Lyra/lyra/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
DriveMM: All-in-One Large Multimodal Model for Autonomous Driving 10 Dec 2024 zhijian11/DriveMM/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning 4 Dec 2024 lavi-lab/aim/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models 22 Nov 2024 kd-tao/dycoke/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models 21 Nov 2024 dongyh20/insight-v/llava/mm_utils.py 3c8823948724e269 unverified no licence file found · pointer only
CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset 18 Nov 2024 meize0729/ccexpert/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
Number it: Temporal Grounding Videos like Flipping Manga 15 Nov 2024 yongliang-wu/numpro/longva/mm_utils.py 3c8823948724e269 unverified MIT (permissive)
arXiv:Zhong_AIM_Adaptive_Inference_of_Multi-Modal_LLMs_via_Token_Merging_and_ICCV_2025_paper LaVi-Lab/AIM/llava/mm_utils.py 3c8823948724e269 unverified Apache-2.0 (permissive)
arXiv:2025.findings-acl.359 G-JWLee/TAMP/llava/mm_utils.py 3c8823948724e269 unverified 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".

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