Pith Number
pith:A52ABWLO
pith:2026:A52ABWLORCDYPNDHIRO2FDSVXB
not attested
not anchored
not stored
refs pending
Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
arxiv:2607.00407 v1 · 2026-07-01 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A52ABWLORCDYPNDHIRO2FDSVXB}
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 | 2026-07-02T01:17:42.509637Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
077400d96e888787b467445da28e55b863c2114f107292d5063037749d8ed807
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A52ABWLORCDYPNDHIRO2FDSVXB \
| 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: 077400d96e888787b467445da28e55b863c2114f107292d5063037749d8ed807
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "de2dde364ff65df2dd15cc3bd371931b0135fb87da38f4ae3ae5b0411e2255d4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-01T04:05:47Z",
"title_canon_sha256": "e8c6b5a29653b5cd11607da9059ba17133847bf0d73e719d45c2c63f1cd2fec2"
},
"schema_version": "1.0",
"source": {
"id": "2607.00407",
"kind": "arxiv",
"version": 1
}
}