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apply_rotary_pos_emb_vision

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

apply_rotary_pos_emb_vision appears in the code Syntology harvested for 20 papers, as 7 distinct code bodies 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 apply_rotary_pos_emb_vision 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 7 distinct code bodies named apply_rotary_pos_emb_vision; 7 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
0ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 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 7 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
3D-Aware VLMs with Implicit and Explicit Geometries added by Syntology 2026-07 (from id) Vegetebird/VLM-IE3D/common/utils.py ffa41b4771980f66 unverified MIT (permissive)
Focus When Necessary: Adaptive Routing and Collaborative Grounding for Training-Free Visual Grounding added by Syntology 2026-06 (from id) TencentBAC/LazyMCoT/Qwen2.5/modeling_qwen2_5_vl_re_infer.py 049747a79920f0f7 unverified Apache-2.0 (permissive)
Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models added by Syntology 2026-06 (from id) KQL11/Deep-VRM/Models/DeepVRM/modeling_qwen2_5_vl.py 049747a79920f0f7 unverified Apache-2.0 (permissive)
RETLLM: Training and Data-Free MLLMs for Multimodal Information Retrieval added by Syntology 2026-02 (from id) alivecat05/RETLLM/modeling_qwen2_5_vl.py 09445ca10af72017 unverified Apache-2.0 (permissive)
EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment added by Syntology 2026-02 (from id) workerred/EEmo-Logic/train/Stage_2/modeling_qwen2_5_vl.py 09445ca10af72017 unverified no licence file found · pointer only
ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding added by Syntology 2025-09 (from id) KangJialiang/ViSpec/vispec/model/modeling_qwen2_5_vl_kv.py 50a09accb6ca2549 unverified Apache-2.0 (permissive)
Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing added by Syntology 2025-09 (from id) showlab/DIM/models/modeling_qwen2_5_vl.py 09445ca10af72017 unverified no licence file found · pointer only
video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language Models 18 Jun 2025 bytedance/video-salmonn-2/video_SALMONN2_pro/qwenvl/model/modeling_qwen3_vl.py 049747a79920f0f7 unverified Apache-2.0 (permissive)
MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark 5 Jun 2025 QwenLM/Qwen2.5-Omni/low-VRAM-mode/modeling_qwen2_5_omni_low_VRAM_mode.py c4adc11c6d565fb8 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge 28 May 2025 tutujingyugang1/ChatVLA_public/qwen2_vla/models/modeling_qwen2_vla.py 48f12d3a9c4a15e8 unverified MIT (permissive)
arXiv:2504.21403 2025-04 (from id) ANDgate99/Explore-Then-Select/model/modeling_qwen2_5_vl.py 50a09accb6ca2549 unverified MIT (permissive)
VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning 3 Apr 2025 vargpt-family/vargpt-v1.1/vargpt_qwen_v1_1/modeling_vargpt_qwen2_vl.py 48f12d3a9c4a15e8 unverified Apache-2.0 (permissive)
FastVID: Dynamic Density Pruning for Fast Video Large Language Models 14 Mar 2025 lunarshen/fastvid/fastvid_qwen25vl/lmms-eval/lmms_eval/models/qwenvlutils/modeling_qwen2_5_vl.py 09445ca10af72017 unverified MIT (permissive)
Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More 17 Feb 2025 zichenwen1/dart/Qwen2_5-VL/Qwen2_5VL_DART/modeling_qwen2_5_vl_self.py 049747a79920f0f7 unverified Apache-2.0 (permissive)
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding 22 Jan 2025 damo-nlp-sg/videollama3/inference/transformers_api/modeling_videollama3_encoder.py 48f12d3a9c4a15e8 unverified Apache-2.0 (permissive)
VisionZip: Longer is Better but Not Necessary in Vision Language Models 5 Dec 2024 dvlab-research/visionzip/Qwen2_5_VL/qwen2_5vl_visionzip.py 50a09accb6ca2549 unverified Apache-2.0 (permissive)
ShowUI: One Vision-Language-Action Model for GUI Visual Agent 26 Nov 2024 showlab/showui/model/showui/modeling_showui.py 48f12d3a9c4a15e8 unverified Apache-2.0 (permissive)
Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See 8 Oct 2024 ZhangAIPI/YOPO_MLLM_Pruning/modeling_qwen2_vl.py 48f12d3a9c4a15e8 unverified MIT (permissive)
Multi-label Cluster Discrimination for Visual Representation Learning 24 Jul 2024 deepglint/unicom/mlcd/vit_rope2d_hf.py 9cbc76fa9f2e80cb unverified MIT (permissive)
arXiv:Lin_ShowUI_One_Vision-Language-Action_Model_for_GUI_Visual_Agent_CVPR_2025_paper showlab/ShowUI/model/showui/modeling_showui.py 48f12d3a9c4a15e8 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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