Pith Number
pith:GLRGTL6M
pith:2025:GLRGTL6MIDHWO7MZ3QWUZWMP4N
not attested
not anchored
not stored
refs pending
Estimating Musical Surprisal from Audio in Autoregressive Diffusion Model Noise Spaces
arxiv:2508.05306 v1 · 2025-08-07 · cs.SD · cs.AI · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GLRGTL6MIDHWO7MZ3QWUZWMP4N}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T11:50:10.480282Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
32e269afcc40cf677d99dc2d4cd98fe3578979ebae2a3ce18a6f658e3a5d3aae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GLRGTL6MIDHWO7MZ3QWUZWMP4N \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 32e269afcc40cf677d99dc2d4cd98fe3578979ebae2a3ce18a6f658e3a5d3aae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f8263779ec4877dbeb039f19d5b1e5fd7133480a8aa0199a4446dbfc2e88cd8a",
"cross_cats_sorted": [
"cs.AI",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2025-08-07T12:05:27Z",
"title_canon_sha256": "95ff0f66b5ba6297958d131a9892bc8c47cfb6518320eae6e9e818f096fa15ce"
},
"schema_version": "1.0",
"source": {
"id": "2508.05306",
"kind": "arxiv",
"version": 1
}
}