Pith Number
pith:OEDJIDA7
pith:2023:OEDJIDA7DYG42A7VEWT5YH44PY
not attested
not anchored
not stored
refs pending
Exciton diffusion in amorphous organic semiconductors: reducing simulation overheads with machine learning
arxiv:2301.13435 v1 · 2023-01-31 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OEDJIDA7DYG42A7VEWT5YH44PY}
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 | 2026-07-05T06:18:10.643866Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7106940c1f1e0dcd03f525a7dc1f9c7e02d3252c1aa078f3e19c7c186efe76b9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OEDJIDA7DYG42A7VEWT5YH44PY \
| 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: 7106940c1f1e0dcd03f525a7dc1f9c7e02d3252c1aa078f3e19c7c186efe76b9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33882ecaccf3e405ead0799d8a5f39cdc8c6a611d6acb86f577e2e4c59e9caea",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2023-01-31T06:12:39Z",
"title_canon_sha256": "be859c80f230d4174d0e73f92f666464668c7f248cfabc923135de9c1cb4b3b1"
},
"schema_version": "1.0",
"source": {
"id": "2301.13435",
"kind": "arxiv",
"version": 1
}
}