do_nothing
do_nothing appears in the code Syntology harvested for 25 papers, as 10 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 22 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 do_nothing 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 8 of the 10 distinct code bodies named do_nothing; 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: 8 of the 26 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
25 papers shown of 25, newest first; 26 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 1 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| ToMA: Token Merge with Attention for Diffusion Models added by Syntology | 2025-09 (from id) | WenboLuu/ToMA/toma/patch.py 3dc9b1a39943f29e |
ran · honoured contract fingerprinted | no licence file found · pointer only |
| FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning | 30 Mar 2025 | csguoh/fastvar/Infinity/infinity/models/fastvar_utils.py 942c492abe601d24 |
unverified | MIT (permissive) |
| Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning | 11 Mar 2025 | iseri27/tg_gbc/gbc/gbc.py 8b2d2111d9b910ca |
ran · honoured contract | Apache-2.0 (permissive) |
| Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model | 1 Jan 2025 | identical code first harvested elsewhere 50ce5aa3c4f434e3 |
ran · honoured contract fingerprinted | licence of this copy not recorded |
| Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion | 15 Sep 2024 | aiot-mlsys-lab/famba-v/fambav/token_merge.py 969e8250d805a154 |
ran · honoured contract fingerprinted | no licence file found · pointer only |
| TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval | 2 Sep 2024 | LunarShen/TempMe/tvr/models/module_tome_patch.py 969e8250d805a154 |
ran · honoured contract fingerprinted | MIT (permissive) |
| ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers | 14 Jun 2024 | tue-mps/algm-segmenter/algm/algm/global_merge.py 969e8250d805a154 |
ran · honoured contract fingerprinted | no licence file found · pointer only |
| Accelerating Transformers with Spectrum-Preserving Token Merging | 25 May 2024 | hchautran/PiToMe/algo/pitome/merge.py 6543fa3e4bfa285f |
ran · honoured contract fingerprinted | licence not identified · pointer only |
| MovieChat+: Question-aware Sparse Memory for Long Video Question Answering | 26 Apr 2024 | rese1f/MovieChat/MovieChat/models/eva_vit_with_tome.py 969e8250d805a154 |
ran · honoured contract fingerprinted | BSD-3-Clause (permissive) |
| Language Repository for Long Video Understanding | 21 Mar 2024 | kkahatapitiya/langrepo/merge.py bd041cf95d856b5d |
ran · honoured contract fingerprinted | MIT (permissive) |
| Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers | 15 Mar 2024 | mlvlab/MCTF/utils/mctf.py 00e9d5d63d4079de |
ran fingerprinted | MIT (permissive) |
| PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation | 14 Mar 2024 | thu-mig/pyra/model/adaptive_merge.py 969e8250d805a154 |
ran · honoured contract fingerprinted | MIT (permissive) |
| VidToMe: Video Token Merging for Zero-Shot Video Editing | 17 Dec 2023 | lixirui142/VidToMe/vidtome/merge.py bd041cf95d856b5d |
ran · honoured contract fingerprinted | MIT (permissive) |
| TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding | 29 Oct 2023 | renshuhuai-andy/testa/testa/merge.py 969e8250d805a154 |
ran · honoured contract fingerprinted | MIT (permissive) |
| QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models | 12 Oct 2023 | modeltc/qllm/assembly/ca_module.py 356d0dfdff3db93a |
ran fingerprinted | Apache-2.0 (permissive) |
| PPT: Token Pruning and Pooling for Efficient Vision Transformers | 3 Oct 2023 | xjwu1024/PPT/merge.py 969e8250d805a154 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| Learned Thresholds Token Merging and Pruning for Vision Transformers | 20 Jul 2023 | mxbonn/ltmp/ltmp/token_merging.py 969e8250d805a154 |
ran · honoured contract fingerprinted | no licence file found · pointer only |
| LIV: Language-Image Representations and Rewards for Robotic Control | 1 Jun 2023 | penn-pal-lab/liv/liv/trainer.py 356d0dfdff3db93a |
ran fingerprinted | MIT (permissive) |
| Token Merging for Fast Stable Diffusion | 30 Mar 2023 | omidiu/ca_tome/src/ca_tome/merge.py 50ce5aa3c4f434e3 |
ran · honoured contract fingerprinted | MIT (permissive) |
| Token Merging for Fast Stable Diffusion | 30 Mar 2023 | dbolya/tomesd/tomesd/merge.py bd041cf95d856b5d |
ran · honoured contract fingerprinted | MIT (permissive) |
| Token Merging: Your ViT But Faster | 17 Oct 2022 | identical code first harvested elsewhere bd041cf95d856b5d |
ran · honoured contract fingerprinted | licence of this copy not recorded |
| R3M: A Universal Visual Representation for Robot Manipulation | 23 Mar 2022 | facebookresearch/r3m/r3m/models/models_r3m.py 356d0dfdff3db93a |
ran fingerprinted | MIT recorded; this copy not marked cleared · pointer only |
| YOLACT++: Better Real-time Instance Segmentation | 3 Dec 2019 | dbolya/yolact/utils/augmentations.py 4b9f446ea18137b2 |
unverified | MIT (permissive) |
| YOLACT: Real-time Instance Segmentation | 4 Apr 2019 | NSCL/yolact_instance/utils/augmentations.py 4b9f446ea18137b2 |
unverified | MIT (permissive) |
| arXiv:Zhang_Beyond_Training_Dynamic_Token_Merging_for_Zero-Shot_Video_Understanding_ICCV_2025_paper | Jam1ezhang/DYTO/dyto/llava/model/merge.py 969e8250d805a154 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) | |
| arXiv:2025.findings-acl.294 | kkahatapitiya/LangRepo/merge.py bd041cf95d856b5d |
ran · honoured contract fingerprinted | 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".
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