litura
Multi-model iterative refinement of artifacts.
From Latin litura — the visible mark of revision. When a Roman poet revised, they smeared wax tablets to erase and rewrite. Litura is the trace of improvement itself.
Multiple LLM models independently review, cross-judge, synthesize consensus, and iterate until convergence.
1 maintainer
Metadata
1 maintainer
Release files for litura 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| litura-0.0.1.tar.gz | 876 Bytes | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| litura-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.2 kB
Release files / litura-0.0.1.tar.gz
| Download URL | litura-0.0.1.tar.gz |
|---|---|
| Size | 876 Bytes |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0ddd311f417ac46db0ca96922de9895d7e89ae90db0602a8be9499c181a8d895
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Release files / litura-0.0.1-py3-none-any.whl
| Download URL | litura-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b88735449206556c824519d781c4919e6aa8f8d7cc7a972139afb72acde40de2
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BLAKE2b-256 checksum How to use checksums |
5622cf687b9b62ffe4a946052825a30799651f738031d0bff255ea5c279f5253
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Security for litura 0.0.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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