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recon_loss

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

recon_loss appears in the code Syntology harvested for 10 papers, as 9 distinct code bodies found in 11 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 recon_loss 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 recon_loss; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 2 of the 11 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

10 papers shown of 10, newest first; 11 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
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology 14 Sep 2024 liupei101/VLSA/loss/loss_surv.py a39104cf333b9b24 ran licence not identified · pointer only
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images 13 Dec 2022 liupei101/advmil/loss/utils.py a7bdd3621350a41c unverified MIT (permissive)
Generating Smooth Pose Sequences for Diverse Human Motion Prediction 19 Aug 2021 wei-mao-2019/gsps/motion_pred/exp_dlow.py cbce7cc3e782a3b7 unverified MIT (permissive)
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting 25 Mar 2021 Khrylx/AgentFormer/model/dlow.py 7a165e35db87d53d unverified MIT (permissive)
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction 18 Mar 2020 Khrylx/DLow/motion_pred/exp_dlow.py cbce7cc3e782a3b7 unverified licence not identified · pointer only
High-Fidelity Synthesis with Disentangled Representation 13 Jan 2020 rosinality/id-gan-pytorch/train_vae.py 37c03b5191a499f8 ran · honoured contract fingerprinted MIT (permissive)
Learning Representations by Maximizing Mutual Information in Variational Autoencoders 21 Dec 2019 AliLotfi92/InfoMaxVAE/CelebA/InfoMaxVAE_CelebA.py 012b56d45e310b3b unverified Apache-2.0 (permissive)
Learning Representations by Maximizing Mutual Information in Variational Autoencoders 21 Dec 2019 AliLotfi92/InfoMaxVAE/utils/loss.py 3b85f05b6edb9652 unverified Apache-2.0 (permissive)
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling 4 Apr 2019 kingofspace0wzz/wae-rnf-lm/loss.py f78950c60af411a7 unverified MIT (permissive)
Relevance Factor VAE: Learning and Identifying Disentangled Factors 5 Feb 2019 ThomasMrY/RF-VAE/ops.py 2cbe0cbb9e1cf86e unverified MIT (permissive)
Disentangling by Factorising 16 Feb 2018 1Konny/FactorVAE/ops.py 2cbe0cbb9e1cf86e 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