Pith Number
pith:5ADREDEQ
pith:2025:5ADREDEQGZJMRES2HMVQ7UT4UE
not attested
not anchored
not stored
refs pending
Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies
arxiv:2506.11960 v1 · 2025-06-13 · econ.EM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5ADREDEQGZJMRES2HMVQ7UT4UE}
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 | 2026-07-05T11:21:13.507614Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e807120c903652c8925a3b2b0fd27ca11f3c9431464bb62aa7d70226601ce049
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5ADREDEQGZJMRES2HMVQ7UT4UE \
| 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: e807120c903652c8925a3b2b0fd27ca11f3c9431464bb62aa7d70226601ce049
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "717785ecd1df6720dbfe5b99010377d62f33ec15a75f9957ca154e1c338be7f5",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "econ.EM",
"submitted_at": "2025-06-13T17:11:14Z",
"title_canon_sha256": "b2a7f1fee6fcb5f5d6882e1fbb28188b9dda51c2e4caba22bec424966d2808ef"
},
"schema_version": "1.0",
"source": {
"id": "2506.11960",
"kind": "arxiv",
"version": 1
}
}