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run_inference

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

run_inference appears in the code Syntology harvested for 23 papers, as 26 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 4 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 run_inference 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 6 of the 26 distinct code bodies named run_inference; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
5ran
20unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 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

23 papers shown of 23, 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 9 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
RIMS: Preference Optimization via Smoothed Multi-pair Aggregation for Small-Scale LLM Retrieval-Augmented Generation added by Syntology 2026-07 (from id) tptrix29/RIMS/training/data_vllm.py ec6550f53d905905 ran MIT (permissive)
Analysis of the Neglect-Zero Effect in Large Language Models added by Syntology 2026-06 (from id) ynklab/neglect_zero/main_gemma3_12b.py 33a663b25d9fc182 ran Apache-2.0 (permissive)
Analysis of the Neglect-Zero Effect in Large Language Models added by Syntology 2026-06 (from id) ynklab/neglect_zero/main_gemma3_1b.py bb29ae45fdeed1d1 ran Apache-2.0 (permissive)
Analysis of the Neglect-Zero Effect in Large Language Models added by Syntology 2026-06 (from id) ynklab/neglect_zero/main_gemma3_4b.py e27883fc164b7804 ran Apache-2.0 (permissive)
Why We Need Speech to Evaluate Speech Translation added by Syntology 2026-05 (from id) MaikeZuefle/speechCOMET/speechcomet-eval/eval_utils.py dc1240c5709922f3 ran Apache-2.0 (permissive)
Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs added by Syntology 2026-05 (from id) proviso-bench/Presupposition-and-Reasoning-in-Conditionals/inference/opensource/inference_opensource.py 9aafb5347cac6f8a unverified no licence file found · pointer only
Unified Deployment-Aware Evaluation of Open Reasoning Language Models added by Syntology 2026-04 (from id) mkboch/UDAE/models/inference.py df17b9a60ed6753f unverified no licence file found · pointer only
Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts added by Syntology 2026-01 (from id) THUNLP/hybrid-linear-attention/attn-layer-selection/convert.py fe8fd3f394926f19 unverified no licence file found · pointer only
Reasoning Beyond Literal: Cross-style Multimodal Reasoning for Figurative Language Understanding added by Syntology 2026-01 (from id) scheshmi/CrossStyle-MMR/infer/deepseek.py 64f10260828050ab unverified no licence file found · pointer only
GOUHFI 2.0: A Next-Generation Toolbox for Brain Segmentation and Cortex Parcellation at Ultra-High Field MRI added by Syntology 2026-01 (from id) mafortin/GOUHFI/run_inference/gouhfi_inference_postpro_reo.py 10d7b2fa9042f79b unverified Apache-2.0 (permissive)
ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models added by Syntology 2025-11 (from id) gjn12-31/ToM/Reasoning/pipeline.py 89b2fef50c90d00f unverified no licence file found · pointer only
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation 26 May 2025 noakliu/fastcache-xdit/benchmark/cache_execute.py 67fb4b8f0da79649 unverified Apache-2.0 (permissive)
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation 26 May 2025 noakliu/fastcache-xdit/benchmark/video_cache_execute.py f35b0e7e455b0508 unverified Apache-2.0 (permissive)
Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models 25 Mar 2025 stogiannidis/srbench/src/eval_closed.py 467e81d74ae180fa unverified MIT (permissive)
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation 2025-03 (from id) NVlabs/Sana/app/app_sana.py 3766af1242aa1f12 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Large Language Models Can Learn Temporal Reasoning 12 Jan 2024 xiongsiheng/tg-llm/src/Example_accelerate_inference.py b0e211cdbd2080be unverified MIT (permissive)
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters 13 Oct 2023 uclanlp/biases-llm-reference-letters/bert_inference.py 530258d882726289 unverified MIT (permissive)
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models 11 Sep 2023 idonahum/photoVerse/models/infer.py 35ca8b80299da3c0 unverified MIT (permissive)
Promises and Pitfalls of Threshold-based Auto-labeling 22 Nov 2022 harit7/tbal-neurips-23/core/model_utils.py 11ad02da29544252 unverified MIT (permissive)
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics 12 Oct 2022 tum-pbs/dmcf/run_sample.py 842cdabb9a891360 unverified MIT (permissive)
Generate rather than Retrieve: Large Language Models are Strong Context Generators 21 Sep 2022 wyu97/GenRead/inference.py 002e293469caa46e unverified no licence file found · pointer only
Deep Learning is Singular, and That's Good 22 Oct 2020 susanwe/RLCT/pyro_example.py ca8547ea3ea72bef unverified MIT (permissive)
Question-Driven Summarization of Answers to Consumer Health Questions 18 May 2020 saverymax/qdriven-chiqa-summarization/models/bilstm/run_classifier.py 02f8e93cf1e0920c unverified MIT recorded; this copy not marked cleared · pointer only
e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations 7 Apr 2020 virginie-do/e-SNLI-VE/code/eval_explain.py cb5c5fd686ab8d40 ran · our draft was wrong no licence file found · pointer only
arXiv:2025.findings-acl.781 qiuqiao/SOFA/onnx_infer.py 734506c5ff477c03 unverified MIT (permissive)
arXiv:2024.findings-emnlp.927 hwy9855/GSR/src/gsr/inference.py 97f82fa05b312950 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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