Pith Number
pith:IQXEEYJV
pith:2026:IQXEEYJVAW6L7U6KPUM3LUGDUI
not attested
not anchored
not stored
refs pending
Double/Debiased Machine Learning for Continuous Treatment Effects in Panel Data with Endogeneity
arxiv:2605.17910 v1 · 2026-05-18 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQXEEYJVAW6L7U6KPUM3LUGDUI}
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 | 2026-05-20T00:05:05.314440Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
442e42613505bcbfd3ca7d19b5d0c3a22fd17e3f67e2032a861e93442fc4faeb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQXEEYJVAW6L7U6KPUM3LUGDUI \
| 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: 442e42613505bcbfd3ca7d19b5d0c3a22fd17e3f67e2032a861e93442fc4faeb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f82440bcb071a5b0aff32ecc2c78a5ca02141d17d7831757bde86a8a3abd6642",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2026-05-18T06:16:18Z",
"title_canon_sha256": "f800b50b64bfd1778a8b772abd05a6a9a73107ed0645971528ea172704c44ec3"
},
"schema_version": "1.0",
"source": {
"id": "2605.17910",
"kind": "arxiv",
"version": 1
}
}