Simplify fixed proposals and remove cached combination scores

README.md

@@ -10,7 +10,7 @@ tags:
 
 These are the two core inference models for *The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions*. Run them with the [public code](https://github.com/alejandrohdez00/alien-space-of-science).
 
-Training data, paper artifacts, and optional cached scores are in [alien-data](https://huggingface.co/datasets/alejandrohdez/alien-data).
+Training data, paper artifacts, and fixed proposals are in [alien-data](https://huggingface.co/datasets/alejandrohdez/alien-data).
 
 ## Contents
 
@@ -32,8 +32,10 @@ CPU and CUDA are supported. Sampling does not use an LLM API. Reconstruction is
 
 Coherence is negative mean atom-token NLL over all set permutations, excluding EOS. Availability is the median of the top ten author cosine similarities. Fusion is `(1-beta)*z(coherence) + beta*z(-availability)` over the candidate population. Each checkpoint has its own token mapping; preserve the files together.
 
-## Training
+## Training and limitations
 
 Coherence uses 136,827 training and 15,203 validation records from 15,203 papers. Availability uses 43,077,647 usable training and 4,786,404 validation subset/complement records; the training bank contains 39,791 authors from a corpus with 46,329 author atom profiles. Availability validation is by example, not by held-out author.
 
+The models recombine the fixed 273-atom LLM-research catalogue. Availability measures corpus-relative proximity to author repertoires; it is not proof of originality, feasibility, or future scientific value. Decoder outputs are proposals to assess. CPU and GPU calculations can differ numerically.
+
 Source: the authors' paper corpus and model training runs. File sizes and checksums are in `manifest.json`. The model weights and repository code are released under the MIT license; see `LICENSE`.

manifest.json

@@ -1,8 +1,8 @@
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