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projection

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

projection appears in the code Syntology harvested for 18 papers, as 18 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 8 of the papers; 6 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 projection 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 9 of the 18 distinct code bodies named projection; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
6ran · our draft was wrong
1ran · fixture could not drive it
2ran
9unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 19 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

18 papers shown of 18, newest first; 19 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 3 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
DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning added by Syntology 2026-06 (from id) ZJunBo/DataShield/datashield/compute_projections.py 4ca5ec3965dafbde ran · our draft was wrong fingerprinted no licence file found · pointer only
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations added by Syntology 2026-05 (from id) Buyun-Liang/REALISTA/src/realista.py 90c470e61ee1a1fd ran · our draft was wrong fingerprinted MIT (permissive)
Test-Time Adaptation by Causal Trimming added by Syntology 2025-10 (from id) NancyQuris/TACT/methods/tact.py ef39939a469e52e9 ran · our draft was wrong fingerprinted MIT (permissive)
SAFE: Finding Sparse and Flat Minima to Improve Pruning 7 Jun 2025 log-postech/safe-jax/sparsify/safe.py 5ce6dac896cdfdbd ran · our draft was wrong Apache-2.0 (permissive)
SAFE: Finding Sparse and Flat Minima to Improve Pruning 7 Jun 2025 LOG-postech/safe-torch/language/lib/prune.py f2be2a9f4b2b8076 ran MIT (permissive)
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations 3 Oct 2024 nickjiang2378/vl-interp/methods/algorithms.py f04ac0937ce8c5b5 ran fingerprinted CC0-1.0 (permissive)
LaRa: Efficient Large-Baseline Radiance Fields 5 Jul 2024 autonomousvision/lara/lightning/network.py 6c0f59b4d8f741f3 unverified MIT (permissive)
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation 31 May 2023 nagisazj/idaq_public/generate_plot.py ed1753e7074e4847 unverified MIT recorded; this copy not marked cleared · pointer only
Equivariant Graph Mechanics Networks with Constraints 12 Mar 2022 hanjq17/gmn/spatial_graph/n_body_system/dataset/physical_objects.py 0f4545be8210f37b unverified MIT (permissive)
Are We Ready For Learned Cardinality Estimation? 12 Dec 2020 sfu-db/AreCELearnedYet/lecarb/estimator/deepdb/aqp_spn/aqp_spn.py f48b43978866b103 ran · fixture could not drive it MIT (permissive)
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization 2 Oct 2020 FOCAL-ICLR/FOCAL-ICLR/generate_plot.py ed1753e7074e4847 unverified MIT recorded; this copy not marked cleared · pointer only
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights 15 Jun 2020 rwightman/pytorch-image-models/timm/optim/adamp.py de5acc29c73a2126 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet 3 Apr 2020 B1ueber2y/TrianFlow/infer_vo.py 722c49a1e9f7a775 ran · our draft was wrong fingerprinted MIT (permissive)
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 3 Nov 2019 yjwu17/ADMM-Compression-for-SNNs/torch_prune_utility.py a88bdd389d8a7d0b unverified MIT (permissive)
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning 26 Jan 2019 ying-wen/gr2/code/maci/utils.py a292492441660b58 unverified MIT (permissive)
End-to-End Neural Entity Linking 23 Aug 2018 dalab/end2end_neural_el/code/model/util.py cc4b9136dc71723e unverified Apache-2.0 (permissive)
Discovering physical concepts with neural networks 26 Jul 2018 eth-nn-physics/nn_physical_concepts/scinet/ed_quantum.py 487e6d621bcc2fa7 unverified Apache-2.0 (permissive)
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks 31 May 2018 tantara/PeerNets-pytorch/src/utee/universal_perturbation.py 2ec345a880b3d439 unverified MIT (permissive)
arXiv:aaai_28994 Alrash/EDM/mix.py 2b8ab603a6727f76 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