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load_from_checkpoint

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

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

9 papers shown of 9, 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. 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
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression added by Syntology 2025-12 (from id) Wornbard/AugSpecIV/networks/utils.py f45e85f6edae359f unverified no licence file found · pointer only
Reasoning to Learn from Latent Thoughts 24 Mar 2025 ryoungj/BoLT/lingua/checkpoint.py e2d321ba9c5bbf1d unverified Apache-2.0 (permissive)
Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition 8 Jul 2024 bang123-box/CFE/strhub/models/utils.py 16bc572b3ef26ada unverified MIT (permissive)
Time Series Anomaly Detection using Diffusion-based Models 2 Nov 2023 fbrad/diffusionae/DiffusionAE/train_transformer_val.py 87a941ac2efbdd60 unverified no licence file found · pointer only
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model 23 May 2023 VamosC/CLIP4STR/strhub/models/utils.py 318b6adc36f8db42 unverified Apache-2.0 (permissive)
ACORN: Adaptive Coordinate Networks for Neural Scene Representation 6 May 2021 computational-imaging/ACORN/experiment_scripts/train_occupancy.py 14a9c52408327bfd unverified MIT (permissive)
Revisiting Pre-Trained Models for Chinese Natural Language Processing 29 Apr 2020 ymcui/Chinese-PreTrained-XLNet/src/gpu_utils.py 3d6b054785523852 unverified Apache-2.0 (permissive)
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context 9 Jan 2019 TimDettmers/transformer-xl/tf/gpu_utils.py 3d6b054785523852 unverified Apache-2.0 (permissive)
Exploring the Limits of Language Modeling 7 Feb 2016 okuchaiev/f-lm/common.py 3d6b054785523852 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