Pith Number
pith:NYSYJ4GH
pith:2026:NYSYJ4GHPYFUEXIGJPTADRDGET
not attested
not anchored
not stored
refs pending
From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation
arxiv:2608.10182 v1 · 2026-08-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NYSYJ4GHPYFUEXIGJPTADRDGET}
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 | 2026-08-12T00:22:59.819176Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6e2584f0c77e0b425d064be601c46624d0877e669f8cc0df76e1ab173254fea0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NYSYJ4GHPYFUEXIGJPTADRDGET \
| 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: 6e2584f0c77e0b425d064be601c46624d0877e669f8cc0df76e1ab173254fea0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c064fbbdc17de17ccf20cc5612e4dd2dd096f82a80172013341a3411ff8a8a1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-08-10T19:54:08Z",
"title_canon_sha256": "69f095b7c37f9abcfde4652aded6e408dd94f0ce365af46556f0d661ecb5e605"
},
"schema_version": "1.0",
"source": {
"id": "2608.10182",
"kind": "arxiv",
"version": 1
}
}