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compute_weight

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

compute_weight appears in the code Syntology harvested for 8 papers, as 9 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 2 of the papers; 1 of the code bodies carries 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 compute_weight 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 compute_weight; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
1ran
7unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 9 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

8 papers shown of 8, newest first; 9 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; 1 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
Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR added by Syntology 2025-09 (from id) ritzz-ai/PACS/src/pacs/pacs_core_algos.py 348bbef9330b324e ran · fixture could not drive it MIT (permissive)
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving 31 Jan 2025 kfdong/STP/RL/RL_step3_final_model.py c6775b43722353a9 unverified MIT (permissive)
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving 31 Jan 2025 kfdong/STP/RL/RL_step2_train.py 761e416f700e9ef7 unverified MIT (permissive)
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection 16 May 2024 ferry-li/si-sod/src/datasets/generate_weight.py 9b5a678f5829b353 ran fingerprinted no licence file found · pointer only
Rethinking Optical Flow from Geometric Matching Consistent Perspective 15 Mar 2023 DQiaole/MatchFlow/evaluate_tile.py 2789c3ac81074634 unverified Apache-2.0 (permissive)
FlowFormer: A Transformer Architecture for Optical Flow 30 Mar 2022 drinkingcoder/FlowFormer-Official/evaluate_FlowFormer_tile.py 1f729ed0436e991f unverified Apache-2.0 (permissive)
On Training Implicit Models 9 Nov 2021 gsunshine/phantom_grad/MDEQ/MDEQ_ImageNet/utils.py d979af99360f8cf5 unverified MIT (permissive)
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning 4 Jun 2021 oatml-markslab/proteinnpt/proteinnpt/utils/msa_utils.py 7b4449eb96bfa4eb unverified MIT (permissive)
arXiv:openreview_WpvC0zpcw3 XTERY11/RBCBF/rbcbf/detectors/common.py aa91be358beb4f30 unverified Apache-2.0 (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