Pith Number
pith:SNHBDF3E
pith:2025:SNHBDF3EN5GTWPSZ3OBYSJ3UQO
not attested
not anchored
not stored
refs pending
Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error
arxiv:2504.01766 v1 · 2025-04-02 · eess.SY · cs.LG · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SNHBDF3EN5GTWPSZ3OBYSJ3UQO}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:43:29.565364Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
934e1197646f4d3b3e59db8389277483abed5f7a0bb7e1003af9ef3bbe06c261
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SNHBDF3EN5GTWPSZ3OBYSJ3UQO \
| 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: 934e1197646f4d3b3e59db8389277483abed5f7a0bb7e1003af9ef3bbe06c261
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3eab46ec7ec607efc9428b2b809fa323bde607af93081a39f32795ee9804425c",
"cross_cats_sorted": [
"cs.LG",
"cs.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2025-04-02T14:18:52Z",
"title_canon_sha256": "7689fb6fe663b973e05354fb49a56c483eb81b6313ae5e82b3bc72035117d3d7"
},
"schema_version": "1.0",
"source": {
"id": "2504.01766",
"kind": "arxiv",
"version": 1
}
}