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deep_update_dict

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

deep_update_dict appears in the code Syntology harvested for 15 papers, as 2 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 14 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 deep_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 1 of the 2 distinct code bodies named deep_update_dict; 1 is 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
0ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 15 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

15 papers shown of 15, newest first; 15 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
Long-Context Generalization with Sparse Attention 19 Jun 2025 deep-spin/asentmax/synthetic/src/utils/dict.py 5dc1ebd8c8c4dd11 unverified GPL-3.0 (copyleft) · pointer only
PRISM: A Robust Framework for Skill-based Meta-Reinforcement Learning with Noisy Demonstrations 6 Feb 2025 katerakelly/oyster/launch_experiment.py e937b70b07bfc9d1 ran · our draft was wrong MIT (permissive)
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations 26 Dec 2023 lamda-rl/gentle/train_gentle.py e937b70b07bfc9d1 ran · our draft was wrong MIT (permissive)
Context Shift Reduction for Offline Meta-Reinforcement Learning 7 Nov 2023 moreanp/csro/launch_experiment.py e937b70b07bfc9d1 ran · our draft was wrong no licence file found · pointer only
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation 31 May 2023 nagisazj/idaq_public/launch_experiment_model.py e937b70b07bfc9d1 ran · our draft was wrong MIT (permissive)
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation 20 Nov 2022 Stilwell-Git/Adaptation-with-Noisy-OracLE/launch_anole_experiment.py e937b70b07bfc9d1 ran · our draft was wrong MIT (permissive)
Model-based Lifelong Reinforcement Learning with Bayesian Exploration 20 Oct 2022 minusadd/vblrl/launch_experiment_hopperbp.py e937b70b07bfc9d1 ran · our draft was wrong MIT (permissive)
Meta-Learning Parameterized Skills 7 Jun 2022 identical code first harvested elsewhere e937b70b07bfc9d1 ran · our draft was wrong licence of this copy not recorded
Context Meta-Reinforcement Learning via Neuromodulation 30 Oct 2021 dlpbc/nm-metarl/nm_oyster/launch_experiment.py e937b70b07bfc9d1 ran · our draft was wrong MIT (permissive)
Hindsight Foresight Relabeling for Meta-Reinforcement Learning 18 Sep 2021 michaelwan11/hfr/launch_experiment.py e937b70b07bfc9d1 ran · our draft was wrong MIT (permissive)
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks 12 Jun 2021 keynans/HypeRL/PEARL/launch_experiment.py e937b70b07bfc9d1 ran · our draft was wrong no licence file found · pointer only
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization 2 Oct 2020 FOCAL-ICLR/FOCAL-ICLR/launch_experiment.py e937b70b07bfc9d1 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning 29 Sep 2020 TJU-DRL-LAB/self-supervised-rl/RL_with_Environment_Representation/ccm/launch_experiment.py e937b70b07bfc9d1 ran · our draft was wrong Apache-2.0 (permissive)
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration 15 Jun 2020 NagisaZj/MetaCURE-Public/launch_experiment_metacure.py e937b70b07bfc9d1 ran · our draft was wrong no licence file found · pointer only
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables 19 Mar 2019 junmokane/offline-PEARL/launch_experiment.py e937b70b07bfc9d1 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