Pith Number
pith:VRQJDIUQ
pith:2026:VRQJDIUQVONADBXEDV7FGOCKFU
not attested
not anchored
not stored
refs pending
WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning
arxiv:2607.28418 v1 · 2026-07-30 · cs.AI · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VRQJDIUQVONADBXEDV7FGOCKFU}
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.
Receipt and verification
| First computed | 2026-07-31T01:37:35.109954Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
ac6091a290ab9a0186e41d7e53384a2d29f7c41668920c1f6c1f3f7a67f392a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VRQJDIUQVONADBXEDV7FGOCKFU \
| 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: ac6091a290ab9a0186e41d7e53384a2d29f7c41668920c1f6c1f3f7a67f392a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41f498bd96949d80666dba1e1bae6a23c32880cb8ddf88131dd9a3ea011e390d",
"cross_cats_sorted": [
"cs.CL",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-30T16:01:03Z",
"title_canon_sha256": "e160535093defd6138b62053fd93ff291b5838223aebe246a210e10d78f5606e"
},
"schema_version": "1.0",
"source": {
"id": "2607.28418",
"kind": "arxiv",
"version": 1
}
}