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encode_data

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

encode_data appears in the code Syntology harvested for 19 papers, as 21 distinct code bodies found in 23 places (a place is one code body under one paper). At least one of them ran in 7 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 encode_data 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 21 distinct code bodies named encode_data; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
4ran
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 23 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

19 papers shown of 19, newest first; 23 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. 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
The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs added by Syntology 2026-02 (from id) princeton-nlp/LESS/less/data_selection/get_training_dataset.py 25035506ff07d0a3 unverified MIT (permissive)
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data 21 Jul 2024 2003pro/tagcos/data_selection/get_training_dataset.py 25035506ff07d0a3 unverified no licence file found · pointer only
3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting 26 Apr 2024 xurige1995/3shnet/lib/evaluation_rgn_seg_sp_se.py 56b228e2d72c6b46 ran Apache-2.0 (permissive)
3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting 26 Apr 2024 xurige1995/3shnet/lib/evaluation_rgn_seg_sp_se_cross.py a624aee24b1da924 ran Apache-2.0 (permissive)
LESS: Selecting Influential Data for Targeted Instruction Tuning 6 Feb 2024 princeton-nlp/less/less/data_selection/get_training_dataset.py 25035506ff07d0a3 unverified MIT (permissive)
Cross-modal Active Complementary Learning with Self-refining Correspondence 26 Oct 2023 QinYang79/CRCL/CRCL_NeurIPS23/evaluation.py bdf65a1c26e5fec5 ran no licence file found · pointer only
Machine Learning for Practical Quantum Error Mitigation 29 Sep 2023 qiskit-community/blackwater/blackwater/library/learning/mlp.py 7addf7c43dfbba96 ran Apache-2.0 (permissive)
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination 8 Aug 2023 luminosityx/fne/evaluation.py e495a1237371ad97 unverified GPL-3.0 (copyleft) · pointer only
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training 15 Jun 2023 lcfractal/tgdt/evaluation.py 5a365ec8a05fffb9 unverified MIT (permissive)
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data 12 Nov 2022 alan-turing-institute/privacy-sdg-toolbox/tapas/generators/generator.py 05ca805c2ccad959 ran · honoured contract MIT (permissive)
Universal Weighting Metric Learning for Cross-Modal Matching 7 Oct 2020 wayne980/PolyLoss/evaluation.py 9fb1dc913236e6d2 unverified Apache-2.0 (permissive)
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders 12 Aug 2020 mesnico/TERAN/evaluation.py e919b63bdc37e394 unverified Apache-2.0 (permissive)
Distributed Associative Memory Network with Memory Refreshing Loss 21 Jul 2020 taewonpark/DAM/preprocess.py acbb1e971209606d unverified MIT (permissive)
Transformer Reasoning Network for Image-Text Matching and Retrieval 20 Apr 2020 mesnico/TERN/evaluation.py 0919fda55c323689 unverified Apache-2.0 (permissive)
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval 8 Mar 2020 HuiChen24/IMRAM/evaluation.py 7ff5ad918339d214 ran · our draft was wrong no licence file found · pointer only
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition 24 Feb 2020 shangoma/Hate_Speech/preprocess.py 88d73c01b2eb5aa6 unverified Apache-2.0 (permissive)
Visual Semantic Reasoning for Image-Text Matching 6 Sep 2019 KunpengLi1994/VSRN/evaluation_models.py 7dca92589df7e25b ran · our draft was wrong no licence file found · pointer only
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples 27 Jun 2018 ExplorerFreda/VSE-C/VSE_C/evaluation.py 5eef3e620d10d47b unverified MIT (permissive)
Stacked Cross Attention for Image-Text Matching 21 Mar 2018 abhidipbhattacharyya/srl_aware_ret/evaluation.py 1119155cc37cafa8 ran · our draft was wrong Apache-2.0 (permissive)
Stacked Cross Attention for Image-Text Matching 21 Mar 2018 kuanghuei/SCAN/evaluation.py 77cfc8299b5facec unverified Apache-2.0 (permissive)
Stacked Cross Attention for Image-Text Matching 21 Mar 2018 idejie/SCAN/evaluation.py 647842a3913aa59c unverified Apache-2.0 (permissive)
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives 18 Jul 2017 kadarakos/mulisera/evaluation.py 7052aa5f302958f1 unverified no licence file found · pointer only
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives 18 Jul 2017 fartashf/vsepp/evaluation.py abbc3bafa0111c56 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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