Pith Number
pith:BRLTI6YR
pith:2025:BRLTI6YRD36KOBALIY46CHJXV5
not attested
not anchored
not stored
refs pending
Dynamic Synthetic Controls vs. Panel-Aware Double Machine Learning for Geo-Level Marketing Impact Estimation
arxiv:2508.20335 v1 · 2025-08-28 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BRLTI6YRD36KOBALIY46CHJXV5}
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.
Receipt and verification
| First computed | 2026-07-05T12:00:34.687656Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c57347b111efca7040b4639e11d37af4d4fdeb1708b5ad19d07cb58e9cb0f1f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BRLTI6YRD36KOBALIY46CHJXV5 \
| 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: 0c57347b111efca7040b4639e11d37af4d4fdeb1708b5ad19d07cb58e9cb0f1f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41186090aa6b5a8bac597a5366af1d52e5d87890f418876b55ead9d1724a04a2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-28T00:33:06Z",
"title_canon_sha256": "56c2b4b4d984bdcebda05de3dbb1121f821f8bd052182fbcb018f0a16c372aeb"
},
"schema_version": "1.0",
"source": {
"id": "2508.20335",
"kind": "arxiv",
"version": 1
}
}