Pith Number
pith:2UDL4QFH
pith:2025:2UDL4QFHRXNNIAC7F4GR3SDH7Q
not attested
not anchored
not stored
refs pending
Context-Driven Dynamic Pruning for Large Speech Foundation Models
arxiv:2505.18860 v1 · 2025-05-24 · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2UDL4QFHRXNNIAC7F4GR3SDH7Q}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:09:20.786538Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d506be40a78ddad4005f2f0d1dc867fc03069f12ec0a60e1f5b6f045e3b977cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2UDL4QFHRXNNIAC7F4GR3SDH7Q \
| 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: d506be40a78ddad4005f2f0d1dc867fc03069f12ec0a60e1f5b6f045e3b977cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a905d81d9160847055b82a7be3907647fce5aa1e5a4649374bdb9b3a068f0735",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2025-05-24T20:40:51Z",
"title_canon_sha256": "2c6284e39f9e28962bec4b338baf05e7fe33d5af1fab0820c16075ea1614c561"
},
"schema_version": "1.0",
"source": {
"id": "2505.18860",
"kind": "arxiv",
"version": 1
}
}