Pith Number
pith:62ZGKKBW
pith:2026:62ZGKKBW26VPTGGSFXRTMDD47D
not attested
not anchored
not stored
refs pending
Surface-Form Neural Sparse Retrieval: Robust Fuzzy Matching for Industrial Music Search
arxiv:2605.17762 v1 · 2026-05-18 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{62ZGKKBW26VPTGGSFXRTMDD47D}
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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claim
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 | 2026-05-20T00:04:56.919142Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f6b2652836d7aaf998d22de3360c7cf8cf810cb064f67ba09c1a86a4e3dbc0f7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/62ZGKKBW26VPTGGSFXRTMDD47D \
| 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: f6b2652836d7aaf998d22de3360c7cf8cf810cb064f67ba09c1a86a4e3dbc0f7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "291e30fb6ed32a92e85426168467a3c41af23b816246d792ab92b4f0bf83e222",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-18T02:29:25Z",
"title_canon_sha256": "74a8453b9d1aa6627137f35900ad6f30c4902d7396c35c0a13ebc18fabd60d1a"
},
"schema_version": "1.0",
"source": {
"id": "2605.17762",
"kind": "arxiv",
"version": 1
}
}