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pre_caption

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

pre_caption appears in the code Syntology harvested for 17 papers, as 4 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 2 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 pre_caption 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 4 distinct code bodies named pre_caption; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
1ran
1unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 17 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

17 papers shown of 17, newest first; 17 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. 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
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation 6 Jun 2025 liyih/CSCL/code/MultiModal-DeepFake-main/dataset/utils.py 8a57c3e7d1cf36c7 unverified MIT (permissive)
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP 8 May 2025 hanxunh/xtransferbench/xtransfer/datasets/caption_dataset.py 2ed5f99d405e8fbe ran · our draft was wrong fingerprinted MIT (permissive)
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack 4 Nov 2024 jiaxiaojunqaq/sa-aet/dataset.py 8a57c3e7d1cf36c7 unverified MIT (permissive)
The Hard Positive Truth about Vision-Language Compositionality 26 Sep 2024 amitakamath/hard_positives/dataset_zoo/retrieval.py 0d760ca65749dc14 ran no licence file found · pointer only
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval 23 Jul 2024 explainableml/egocvr/model/utils.py 0d760ca65749dc14 ran MIT (permissive)
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models 8 Jun 2024 ffhibnese/cpgc_vlp_universal_attacks/dataset.py 8a57c3e7d1cf36c7 unverified no licence file found · pointer only
What's "up" with vision-language models? Investigating their struggle with spatial reasoning 30 Oct 2023 amitakamath/whatsup_vlms/dataset_zoo/retrieval.py 0d760ca65749dc14 ran MIT (permissive)
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models 26 Oct 2023 coastalcph/gender-neutral-vl/src/ALBEF/predict.py 01b53990698e354e ran · our draft was wrong fingerprinted MIT (permissive)
Interpretable Diffusion via Information Decomposition 12 Oct 2023 kxh001/info-decomp/utils/aro_datasets.py 0d760ca65749dc14 ran MIT (permissive)
Detecting and Grounding Multi-Modal Media Manipulation and Beyond 25 Sep 2023 rshaojimmy/multimodal-deepfake/dataset/utils.py 8a57c3e7d1cf36c7 unverified no licence file found · pointer only
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination 8 Aug 2023 luminosityx/fne/data.py 8a57c3e7d1cf36c7 unverified GPL-3.0 (copyleft) · pointer only
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models 26 Jul 2023 Zoky-2020/Set-level_Guidance_Attack/dataset.py 8a57c3e7d1cf36c7 unverified MIT (permissive)
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search 23 May 2023 Flame-Chasers/RaSa/dataset/utils.py 8a57c3e7d1cf36c7 unverified MIT (permissive)
Measuring Progress in Fine-grained Vision-and-Language Understanding 12 May 2023 e-bug/fine-grained-evals/models/ALBEF/predict.py 01b53990698e354e ran · our draft was wrong fingerprinted MIT (permissive)
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation 18 Mar 2023 mlii0117/dcl/blip_original/utils.py 0d760ca65749dc14 ran MIT (permissive)
When and why vision-language models behave like bags-of-words, and what to do about it? 4 Oct 2022 mertyg/vision-language-models-are-bows/dataset_zoo/retrieval.py 0d760ca65749dc14 ran MIT (permissive)
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training 12 Jul 2022 xinyu1205/idea-pytorch/dataset/utils.py 8a57c3e7d1cf36c7 unverified 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