Pith Number
pith:U3R7LCGE
pith:2025:U3R7LCGEF3GQ24DRCQ7F3KCVY6
not attested
not anchored
not stored
refs pending
Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey
arxiv:2506.23154 v1 · 2025-06-29 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U3R7LCGEF3GQ24DRCQ7F3KCVY6}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:29:16.653000Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a6e3f588c42ecd0d7071143e5da855c78b0e97ca0a0438e6288fa0f469ce539f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U3R7LCGEF3GQ24DRCQ7F3KCVY6 \
| 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: a6e3f588c42ecd0d7071143e5da855c78b0e97ca0a0438e6288fa0f469ce539f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b69334602359583f5d3280542e07199f7531bfbccbc2e585059cfbccf945c130",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2025-06-29T09:22:08Z",
"title_canon_sha256": "6c98059ed463d8b90aa650a63921a86494b8bd4ace21f5a7a4bb0c24b374e963"
},
"schema_version": "1.0",
"source": {
"id": "2506.23154",
"kind": "arxiv",
"version": 1
}
}