Pith Number
pith:LO6HUISY
pith:2016:LO6HUISY5HBL4DGN6LAFVJXRAO
not attested
not anchored
not stored
refs pending
The distribution dynamics of Carbon Dioxide Emission intensity across Chinese provinces: A weighted Approach
arxiv:1612.02658 v1 · 2016-10-25 · q-fin.EC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LO6HUISY5HBL4DGN6LAFVJXRAO}
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 | 2026-05-18T00:55:33.138492Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5bbc7a2258e9c2be0ccdf2c05aa6f103a4c454eac4229ce5783a5861c5e1cd3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LO6HUISY5HBL4DGN6LAFVJXRAO \
| 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: 5bbc7a2258e9c2be0ccdf2c05aa6f103a4c454eac4229ce5783a5861c5e1cd3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cf15b6d2d7354dbe82b132e022dfebe22c72849fb0a6de79c9d9c7c4fe94f167",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-fin.EC",
"submitted_at": "2016-10-25T15:26:47Z",
"title_canon_sha256": "a2072137511f5b8db623101894a5da8c50d7b1132cc8ba661d7c0e79fd606efe"
},
"schema_version": "1.0",
"source": {
"id": "1612.02658",
"kind": "arxiv",
"version": 1
}
}