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make_encoder

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

make_encoder appears in the code Syntology harvested for 15 papers, as 12 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 5 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 make_encoder 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 5 of the 12 distinct code bodies named make_encoder; 7 are 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
1ran · fixture could not drive it
0ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 15 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

15 papers shown of 15, newest first; 15 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
When Retrieval Fails Before It Begins: Structurally Indirect Prerequisite Eviction as a Retention Failure in Agentic Memory added by Syntology 2026-08 (from id) smkgenesis/dsgc/src/benchmarking/policy.py 547b9712bd0ef152 ran · fixture could not drive it MIT (permissive)
Maximum Total Correlation Reinforcement Learning 22 May 2025 bangyou01/mtc/tcsac.py 194b6301d0fceef1 ran · our draft was wrong no licence file found · pointer only
Semantic Flow: Learning Semantic Field of Dynamic Scenes from Monocular Videos 8 Apr 2024 tianfr/Semantic-Flow/src/model/model_util.py 0b8b108e334214af unverified licence not identified · pointer only
NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields 22 Sep 2023 dawning77/nerrf/src/model/model_util.py 09578629f7267e4b unverified no licence file found · pointer only
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models 22 Mar 2023 jianglongye/featurenerf/src/model/model_util.py 09578629f7267e4b unverified MIT (permissive)
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? 10 Jun 2022 LostXine/elo-sac/encoder.py ced159fb4f2d853b unverified MIT (permissive)
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning 2 May 2022 csun001/CCLF/CCLF_sac.py 59924c8a15d17e2f ran · our draft was wrong MIT (permissive)
Do Different Tracking Tasks Require Different Appearance Models? 5 Jul 2021 Zhongdao/UniTrack/model/model.py d3b2fda956486d2c unverified MIT (permissive)
D2RL: Deep Dense Architectures in Reinforcement Learning 19 Oct 2020 pairlab/d2rl/curl/encoder.py cd7d4d2ebf4b04c8 unverified MIT (permissive)
Self-Supervised Policy Adaptation during Deployment 8 Jul 2020 nicklashansen/policy-adaptation-during-deployment/src/agent/agent.py 6dcb9b4b8ec4aabd ran · our draft was wrong no licence file found · pointer only
Reinforcement Learning with Augmented Data 30 Apr 2020 MishaLaskin/rad/curl_sac.py 3ff1a7cb98f67025 ran · our draft was wrong no licence file found · pointer only
CURL: Contrastive Unsupervised Representations for Reinforcement Learning 8 Apr 2020 MishaLaskin/curl/encoder.py cd7d4d2ebf4b04c8 unverified MIT (permissive)
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images 2 Oct 2019 denisyarats/pytorch_sac_ae/encoder.py b41b083f7956cdf2 unverified MIT (permissive)
Combination of Multiple Global Descriptors for Image Retrieval 26 Mar 2019 Samjoel3101/Self-Supervised-Learning-fastai2/ssl_fastai2/utils.py aa08b32d313cbc98 unverified Apache-2.0 (permissive)
arXiv:aaai_28229 eezkni/ColNeRF/src/model/model_util.py 09578629f7267e4b unverified BSD-2-Clause (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