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update_dict

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

update_dict appears in the code Syntology harvested for 11 papers, as 9 distinct code bodies found in 11 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 update_dict 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 2 of the 9 distinct code bodies named update_dict; 7 are 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
0ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 11 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

11 papers shown of 11, newest first; 11 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; 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
Orthogonal Temporal Interpolation for Zero-Shot Video Recognition 14 Aug 2023 sweetorangezhuyan/mm2023_oti/train_oti.py d452c540ad7ecbbc ran · our draft was wrong no licence file found · pointer only
Reinforcement Learning from Passive Data via Latent Intentions 10 Apr 2023 dibyaghosh/icvf_release/experiments/antmaze/train_icvf.py ffd7f2a1980245a1 unverified MIT (permissive)
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? 31 Dec 2022 whwu95/BIKE/train_attributes.py d452c540ad7ecbbc ran · our draft was wrong MIT (permissive)
Predicting the impact of treatments over time with uncertainty aware neural differential equations 24 Feb 2022 microsoft/cf-ode/causalode/results_processing_utils.py 027ecb7d833a1bf2 unverified MIT (permissive)
Fast Certified Robust Training with Short Warmup 31 Mar 2021 shizhouxing/Fast-Certified-Robust-Training/config.py 364eb5f6eebd2d6d unverified BSD-3-Clause (permissive)
Detecting Rewards Deterioration in Episodic Reinforcement Learning 22 Oct 2020 ido90/Rewards-Deterioration-Detection/utils.py 3b6b79b8364031a6 unverified MIT (permissive)
Adversarial Training and Provable Robustness: A Tale of Two Objectives 13 Aug 2020 JmfanBU/AdvIBP/IBP_Adv_Training/utils/config.py 1215d6cf47fc376f unverified MIT (permissive)
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning 6 Aug 2020 proroklab/adversarial_comms/adversarial_comms/train_policy.py 922ad6210bf86e67 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond 28 Feb 2020 huanzhang12/CROWN-IBP/config.py 346b1abd4961b091 unverified BSD-2-Clause (permissive)
arXiv:aaai_26713 nasaharvest/openmapflow/openmapflow/config.py 7483edf8563669db unverified Apache-2.0 (permissive)
arXiv:2024.findings-acl.747 whwu95/Text4Vis/train_nce.py d452c540ad7ecbbc ran · our draft was wrong 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