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masked_sum

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

masked_sum appears in the code Syntology harvested for 10 papers, as 7 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 4 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 masked_sum 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 7 distinct code bodies named masked_sum; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
2ran
1unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 10 places is 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

10 papers shown of 10, newest first; 10 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. 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
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning added by Syntology 2026-07 (from id) NVIDIA-NeMo/labs-molt/molt/models/loss.py d4a9d22201f6f141 ran Apache-2.0 (permissive)
GEOALIGN: Geometric Rollout Curation for Robust LLM Reinforcement Learning added by Syntology 2026-06 (from id) SYSUzhouting/Trinity-RFT/trinity/algorithm/utils.py 21d59eaacff05781 ran fingerprinted Apache-2.0 (permissive)
Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning added by Syntology 2026-06 (from id) agentscope-ai/Trinity-RFT/trinity/algorithm/utils.py 21d59eaacff05781 ran fingerprinted Apache-2.0 (permissive)
AgentScope, Tongyi Lab R 3 L: Reflect-then-Retry Reinforcement Learning with Language-Guided Exploration, Pivotal Credit, and Positive Amplification added by Syntology 2026-01 (from id) shiweijiezero/R3L/trinity/algorithm/utils.py a6fdd35c17b3e086 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs added by Syntology 2025-10 (from id) modelscope/Trinity-RFT/trinity/algorithm/utils.py 21d59eaacff05781 ran fingerprinted Apache-2.0 (permissive)
Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant 26 May 2025 heidelberg-hepml/lloca-experiments/experiments/baselines/pelican/perm_equiv_layers.py b6fc95bee01e3fa3 unverified MIT (permissive)
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning 21 May 2025 rlx-lab/TBRM/verl/tbrm/core_algos.py a6fdd35c17b3e086 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback 13 Jun 2024 hamishivi/EasyLM/EasyLM/models/llama/llama_train_ppo.py 7cbbe7f38c74cab8 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning 26 Feb 2022 sh0416/clrcmd/src/clrcmd/models.py 09bf1daaa67faf33 ran · our draft was wrong licence not identified · pointer only
Learning to Synthesize Programs as Interpretable and Generalizable Policies 31 Aug 2021 clvrai/leaps/pretrain/models.py 656bc963190be4b0 ran · our draft was wrong fingerprinted 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