AbstractPhil/loss-manifest

The Loss Manifest — companion repository

Companion to the article "The Loss Manifest: A Field History of Objective Functions, and What a Machine Can Actually Be Asked to Compute" (article_loss_manifest.md in this repo; also published on the author's blog).

155 objective functions, regularizers, gauges, and prohibitions from a multi-year geometric deep learning program — each rated 1-10 under a fixed, recomputable rubric, each carrying its mathematics, its implementation home, and its verdict with receipts. Failures ship alongside successes: the retractions and prohibitions are first-class rows, because each is the evidence for a standing law.

Contents

• article_loss_manifest.md — the article (canonical copy).
• LOSS_MANIFEST.md — the full rated registry, human-readable.
• loss_manifest.json — the machine-readable sidecar; every rating is recomputable from its six sub-scores + the lookup table + the nine rules.
• code/loss_forms.py — the composable loss library (4 differencing primitives, accumulation formats A0-A8, the campaign candidates, the force-gated forbidden controls, self-smoke).
• code/compartment_smoke.py — the 22-test formula-smoke battery, including the two calibrated pre-spend gates (conditioning + collinearity).
• code/fac_bed.py, code/deviant_bed.py, code/geobasin_bed.py — the campaign beds (cosh-Bregman/FAC matrix; the deviant roster matrix; the recovered CE-replacement geometric arm under full controls).
• code/ar_differentiation_bed.py, code/geolip_vitals.py, code/loss_view.py — the certified byte bed, the shared read-only gauge harness, and the registry viewer/linter.
• runs/ — the raw run ledgers (JSONL) behind every trained verdict in the article's era-six tables.

Quick start

pip install torch  # cu-enabled build recommended
python code/loss_forms.py          # library self-smoke
python code/compartment_smoke.py   # the 22-test battery + gates
python code/loss_view.py card --json loss_manifest.json

Beds default their data root to $GEOLIP_DATA (or ./data) and download wikitext bytes on first use.

The program's lines (evidence trails)

Qwen3.5 adapter line · Qwen2.5 line · diffusion line · differentiation line · amoe-lora · classification line · geolip-svae · geofractal

Field reports: ft1 · ft2 · ft3

Internal citations in the registry (file:line anchors into the program's research record) are preserved verbatim for provenance integrity.