Pith Number
pith:SUJA6MWA
pith:2025:SUJA6MWABTZGKNCDB54CMD5QC4
not attested
not anchored
not stored
refs pending
A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods
arxiv:2505.05396 v2 · 2025-05-08 · cs.AI · cs.HC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SUJA6MWABTZGKNCDB54CMD5QC4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:01:36.887679Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
95120f32c00cf26534430f78260fb01733bcc83ea02980cd6c192fd0f14a1aa3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SUJA6MWABTZGKNCDB54CMD5QC4 \
| 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: 95120f32c00cf26534430f78260fb01733bcc83ea02980cd6c192fd0f14a1aa3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b960b0a6677303a3494d702d4fb9645a716d65ce7d75727e2cc757ad9850842",
"cross_cats_sorted": [
"cs.HC",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-05-08T16:32:55Z",
"title_canon_sha256": "c72e8142458a09f42f1515b4d6a82fb8b139be17b29b011afa9d28ff0848ee6d"
},
"schema_version": "1.0",
"source": {
"id": "2505.05396",
"kind": "arxiv",
"version": 2
}
}