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dict_mean

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

dict_mean appears in the code Syntology harvested for 12 papers, as 7 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 9 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 dict_mean 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 4 of the 7 distinct code bodies named dict_mean; 3 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
2ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 12 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

12 papers shown of 12, newest first; 12 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
Foresight Optimization for Strategic Reasoning in Large Language Models added by Syntology 2026-04 (from id) wangjs9/ForesightOptim/agent_trainers/trainers.py e154ffa50c4434d1 ran · our draft was wrong no licence file found · pointer only
Digi-Q: Learning Q-Value Functions for Training Device-Control Agents 13 Feb 2025 identical code first harvested elsewhere 0cfea60f8eda39cf ran · our draft was wrong licence of this copy not recorded
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning 4 Nov 2024 THUDM/WebRL/webrl/algorithms/webrl/trainer.py 32579324c0d766ef unverified no licence file found · pointer only
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents 18 Oct 2024 distrl-lab/distrl-open/distrl/algorithms/digirl/trainer.py 0cfea60f8eda39cf ran · our draft was wrong Apache-2.0 (permissive)
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs 10 Oct 2024 yuyq18/steptool/src/baseline-archer/archer_trainer.py e154ffa50c4434d1 ran · our draft was wrong no licence file found · pointer only
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference 26 Jun 2024 sustechbruce/look-m/score.py 184a512ccc58837f ran MIT (permissive)
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning 14 Jun 2024 digirl-agent/digirl/digirl/algorithms/digirl/trainer.py 0cfea60f8eda39cf ran · our draft was wrong Apache-2.0 (permissive)
RGFN: Synthesizable Molecular Generation Using GFlowNets 1 Jun 2024 koziarskilab/rgfn/rgfn/utils/helpers.py 13dff94f6985e4a8 ran licence not identified · pointer only
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL 29 Feb 2024 yifeizhou02/archer/archer/algorithms/archer/trainer.py e154ffa50c4434d1 ran · our draft was wrong MIT (permissive)
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models 31 Aug 2023 HYPJUDY/Sparkles/i4_score.py 184a512ccc58837f ran BSD-3-Clause (permissive)
Lossy Compression for Lossless Prediction 21 Jun 2021 YannDubs/lossyless/lossyless/helpers.py 8a9a3c914c967c7d unverified MIT (permissive)
Phasic Policy Gradient 9 Sep 2020 openai/phasic-policy-gradient/phasic_policy_gradient/minibatch_optimize.py 80025f416c031ad6 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".

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