Pith Number
pith:CFEG5JUG
pith:2026:CFEG5JUGD32N5WPRX4N6AHLWIZ
not attested
not anchored
not stored
refs pending
Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference
arxiv:2608.00077 v1 · 2026-07-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CFEG5JUGD32N5WPRX4N6AHLWIZ}
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
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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 | 2026-08-04T00:32:14.003423Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
11486ea6861ef4ded9f1bf1be01d76464f950fdf56dcfe0ce59d177bc8f5029f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CFEG5JUGD32N5WPRX4N6AHLWIZ \
| 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: 11486ea6861ef4ded9f1bf1be01d76464f950fdf56dcfe0ce59d177bc8f5029f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e490504c81d204299af1d10d592512197070cfb737d7d6385cdde4694add577e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-29T13:45:31Z",
"title_canon_sha256": "267a71ffe7f74d98afa7a8e1e3ba4b6ba6a54ead91e61a8aa3635d27a86e3442"
},
"schema_version": "1.0",
"source": {
"id": "2608.00077",
"kind": "arxiv",
"version": 1
}
}