Paper statuses — A paper’s standing in the anthology: whether it is worth reading. NOT whether its findings are true. Adam is Active here because it is worth reading; whether any particular thing it recommends is still what you should do is the SOTA scheme’s business, and the two can disagree in either direction (ADR-002).
Attic — retired with a reason — too narrow, too theoretical, or simply not interesting enough to carry.
10 of 737 LIT documents. Back to the full index.
| # | Title | Summary | Status |
|---|---|---|---|
| LIT-006 v2 | SGDR: Stochastic Gradient Descent with Warm Restarts | Loshchilov and Hutter (2016), ARXIV-1608.03983. A duplicate: the migration filed this paper twice, and the other copy carries the reading and the supersession. LIT-042 is the surviving note. | Rejected — by LIT-042; a duplicate of LIT-042, which holds the same paper and the record’s judgement on it |
| LIT-029 v2 | On Layer Normalization in the Transformer Architecture | Xiong et al. (2020), ARXIV-2002.04745. A duplicate: the migration filed this paper twice, and this copy’s one-line reading attributed RMSNorm to it. LIT-114 is the surviving note. | Rejected — by LIT-114; a duplicate of LIT-114, which holds the same paper and reads it correctly |
| LIT-041 | Clusterability in Neural Networks | Filan et al. (2021), ARXIV-2103.03386. Larger models develop more modular features. | Rejected — the result does not look interesting enough to carry |
| LIT-044 v2 | Contrastive Learning with Hard Negative Samples | Robinson et al. (2020), ARXIV-2010.04592. Importance of negative sample selection. | Rejected — needs per-case tuning, no consistent cross-domain benefit |
| LIT-057 v2 | What Makes for Good Views for Contrastive Learning? | Tian et al. (2020), ARXIV-2005.10243. Analysis of view generation. | Rejected — theoretical, with no concrete training recommendation |
| LIT-090 v2 | Symbolic Discovery of Optimization Algorithms | Chen et al. (2023), ARXIV-2302.06675. Program search over an infinite, sparse space of optimizer programs, which turns up Lion — sign of an interpolated momentum, one state tensor instead of Adam’s two. | Rejected — retired at migration on a description that was not this paper; the reason has not been re-examined |
| LIT-092 v2 | Understanding Contrastive Learning Requires Incorporating Inductive Biases | Saunshi et al. (2022), ARXIV-2202.14037. Role of inductive biases. | Rejected — theoretical analysis without concrete recommendations |
| LIT-094 v2 | Neural Scene Graphs for Dynamic Scenes | Ost et al. (2020), ARXIV-2011.10379. Dynamic scene representation. | Rejected — too domain-specific for a general training list |
| LIT-105 | Symbolic Discovery of Optimization Algorithms | Chen et al. (2023), ARXIV-2302.06675. A duplicate: the migration filed this paper twice, once under its real title and once under the name of the optimizer it discovers. LIT-090 is the surviving note. | Rejected — by LIT-090; a duplicate of LIT-090, which holds the same paper |
| LIT-116 v2 | TensorRT-LLM: A Compiler and Runtime for LLMs | A synthetic entry the migration produced: no paper of this title exists, and the identifier it carried belongs to an unrelated physics preprint. Retired rather than deleted. The source field points at the software project itself. | Rejected — software with no published paper behind it, and no reading in the record |