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process_file

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

process_file appears in the code Syntology harvested for 33 papers, as 47 distinct code bodies found in 47 places (a place is one code body under one paper). At least one of them ran in 13 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 process_file 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 20 of the 47 distinct code bodies named process_file; 27 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
1ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
19ran
27unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 47 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

33 papers shown of 33, newest first; 47 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 5 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
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling added by Syntology 2026-06 (from id) kaist-cvml/perception-judge/prepare-datasets/post_processing_filter_after_gen.py 9e9e9289a06c8157 ran no licence file found · pointer only
RTI-Bench: A Structured Dataset for Indian Right-to-Information Decision Analysis added by Syntology 2026-05 (from id) joyboseroy/rti-bench/pipeline/extract_cic_pdfs_v4.py 67c1faa4ce7ef4b3 unverified MIT (permissive)
TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion added by Syntology 2026-05 (from id) mohammadkhsh/TriBand-BEV/result_final_inter.py 88f89f03faae952f ran MIT (permissive)
Prompts Without Evidence: How Neuroimaging Mentions Shift Clinical Vision-Language Model Predictions added by Syntology 2026-03 (from id) long21wt/scaffold-effect/src/f1_eval.py 0436233c4822645f unverified no licence file found · pointer only
Prompts Without Evidence: How Neuroimaging Mentions Shift Clinical Vision-Language Model Predictions added by Syntology 2026-03 (from id) long21wt/scaffold-effect/src/f1_eval_oasis.py b844a1ca1b279a3a unverified no licence file found · pointer only
TreeTeaming: Autonomous Red-Teaming of Vision-Language Models via Hierarchical Strategy Exploration added by Syntology 2026-03 (from id) ChunXiaostudy/TreeTeaming/benchmark/score_jsonl.py 8d053a9f8dca0089 unverified no licence file found · pointer only
arXiv:2507.10225 2025-07 (from id) Jarvisgivemeasuit/SynOOD/texts/clean_prompt.py 0b8c67201af06908 unverified Apache-2.0 (permissive)
Generative Social Choice: The Next Generation 28 May 2025 sara-fish/gen-soc-choice-next-gen/synthetic_experiments/process.py 255faefc4183008f unverified MIT (permissive)
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation 26 May 2025 PKU-YuanGroup/OpenS2V-Nexus/data_process/step3-0_merge_json.py 8310d1132ebd9370 unverified Apache-2.0 (permissive)
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation 26 May 2025 PKU-YuanGroup/OpenS2V-Nexus/data_process/step4-0_merge_json.py 4a34cdc1b72ef759 unverified Apache-2.0 (permissive)
Self-Training Elicits Concise Reasoning in Large Language Models 27 Feb 2025 tergelmunkhbat/concise-reasoning/src/estimated_budget_process.py 3edbfe5817ad1b08 unverified MIT (permissive)
Self-Training Elicits Concise Reasoning in Large Language Models 27 Feb 2025 tergelmunkhbat/concise-reasoning/src/preprocess.py c687c5d4e753d025 unverified MIT (permissive)
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs 10 Jan 2025 mbzuai-oryx/llamav-o1/eval/get_result.py 4fcf4b31c07c510c unverified Apache-2.0 (permissive)
One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity 7 Nov 2024 skmur/onefish-twofish/analysis/process-data.py a50db35d03e3fa4d ran · violated contract no licence file found · pointer only
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios 22 Oct 2024 nus-hpc-ai-lab/edf/calculate_the_ratio.py ad84d1668d85b6ba unverified no licence file found · pointer only
Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners 3 Oct 2024 manhph2211/D-BETA/datasets/n3s.py 0d81a17c01ba1f9a unverified licence not identified · pointer only
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models 26 Sep 2024 MaLA-LM/emma-500/evaluation/Aya/evaluate.py cfcff66fced80dfc ran no licence file found · pointer only
Automated Review Generation Method Based on Large Language Models 30 Jul 2024 tju-ecat-ai/automaticreviewgeneration/ReviewComposition/Advanced_ComparedScore.py 8f9db599f9f467a3 unverified Apache-2.0 (permissive)
AFBench: A Large-scale Benchmark for Airfoil Design 2024-06 (from id) hitcslj/Xfoil-cal/check_valid.py bf1b390abffb23a7 ran no licence file found · pointer only
AFBench: A Large-scale Benchmark for Airfoil Design 2024-06 (from id) hitcslj/Xfoil-cal/check_valid_aero.py 111d2e64e145c96d unverified no licence file found · pointer only
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar 22 May 2024 toytiny/radarocc/generate_3d_polar.py 58f05ca94a1f16ad ran Apache-2.0 (permissive)
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar 22 May 2024 toytiny/radarocc/generate_4d_polar.py cccc647437ae78d0 ran Apache-2.0 (permissive)
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar 22 May 2024 Toytiny/RadarOcc/generate_4d_polar_doppler.py 7ca7350ddb4ca251 unverified Apache-2.0 (permissive)
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar 22 May 2024 toytiny/radarocc/generate_4d_polar_doppler.py bca17c9a1a27be2b unverified Apache-2.0 (permissive)
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar 22 May 2024 toytiny/radarocc/generate_4d_polar_percentil.py c69c41474090b153 unverified Apache-2.0 (permissive)
Relational DNN Verification With Cross Executional Bound Refinement 16 May 2024 debangshu-banerjee/racoon/racoon_processor.py ad46388f7e27e4bf ran no licence file found · pointer only
Relational DNN Verification With Cross Executional Bound Refinement 16 May 2024 debangshu-banerjee/racoon/racoon_processor_hamming.py 4496a4aaefebb050 ran no licence file found · pointer only
Relational DNN Verification With Cross Executional Bound Refinement 16 May 2024 debangshu-banerjee/racoon/bound_refinement_processor.py 49d5a240375f2f85 ran no licence file found · pointer only
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias 9 May 2024 shan23chen/cross-care/co_occurrence_generate/jsonl_data_filtering.py 293bc1ef76e375ef ran MIT (permissive)
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias 9 May 2024 shan23chen/cross-care/co_occurrence_generate/jsonl_data_filtering_c4.py fe4d91f2f027fe4e ran MIT (permissive)
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery 12 Mar 2024 haiyangzheng/textgcd/utils/text_process.py f8466b7c87d6147d ran no licence file found · pointer only
Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A 20 Feb 2024 bplaut/softmax-probs-predict-llm-correctness/show_msp_distributions.py 0c29fde88ebbe1cd ran MIT (permissive)
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling 19 Feb 2024 hphong1990/parcv2/PARC/utils.py 47d67295b295834e unverified GPL-3.0 (copyleft) · pointer only
Mission: Impossible Language Models 12 Jan 2024 jkallini/mission-impossible-language-models/edge_probing/load_phrase_data.py 2dfc460bf3c3be3c ran MIT (permissive)
A Closer Look at AUROC and AUPRC under Class Imbalance 11 Jan 2024 Lassehhansen/ArxivMLClaimSearch/src/arxiv_search.py c4d0403439e31706 ran MIT (permissive)
A Closer Look at AUROC and AUPRC under Class Imbalance 11 Jan 2024 Lassehhansen/ArxivMLClaimSearch/src/arxiv_search_regex.py 1ba401f99899baa4 ran MIT (permissive)
A Closer Look at AUROC and AUPRC under Class Imbalance 11 Jan 2024 lassehhansen/arxiv-search/src/arxiv_search.py 66ad8fb02e5834bf ran no licence file found · pointer only
A Closer Look at AUROC and AUPRC under Class Imbalance 11 Jan 2024 lassehhansen/arxiv-search/src/arxiv_search_regex.py 5e0a79f969743a5f ran no licence file found · pointer only
Optimized Tokenization for Transcribed Error Correction 16 Oct 2023 google/sentencepiece/lite/amalgamate.py ba2d61e10485367a ran Apache-2.0 (permissive)
Few-shot In-context Learning for Knowledge Base Question Answering 2 May 2023 ltl3A87/KB-BINDER/utils.py 767c14bec8de2d7b unverified MIT (permissive)
Neural Structure Fields with Application to Crystal Structure Autoencoders 8 Dec 2022 omron-sinicx/neural-structure-field/src/dataset_generation/02_extract_structures.py 47e6d373a8ee71e9 unverified MIT (permissive)
Improving Factual Consistency in Summarization with Compression-Based Post-Editing 11 Nov 2022 salesforce/CompEdit/entity_score.py ad8f0274bbfb39b6 unverified BSD-3-Clause (permissive)
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions 1 Jun 2022 technion-cs-nlp/idani/code/analysis.py 9d3248b9abfd2262 unverified MIT (permissive)
Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm 21 Oct 2020 rhoposit/icassp2021/preprocess_vqvae.py e5f6756a2fd822c7 unverified MIT (permissive)
Adversarial Examples for Models of Code 15 Oct 2019 tech-srl/code2seq/preprocess.py 8de0a4310800437e unverified MIT (permissive)
Neural Summarization by Extracting Sentences and Words 23 Mar 2016 adrian9631/TextSumma/predict_model.py a58c910689a3db8c unverified Apache-2.0 (permissive)
arXiv:2023.findings-acl.76 HKUST-KnowComp/FolkScope/src/pattern/generation_parser.py b87934889baa1464 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".

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