Pith Number
pith:BMGPDYYN
pith:2022:BMGPDYYNJKX2GL2F4PTXTIAREX
not attested
not anchored
not stored
refs pending
Assessing the persistence of chalcogen bonds in solution with neural network potentials
arxiv:2201.04503 v1 · 2022-01-12 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BMGPDYYNJKX2GL2F4PTXTIAREX}
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 | 2026-07-05T04:19:51.910345Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b0cf1e30d4aafa32f45e3e779a01125cc71282676c1b7a1f09c088bc453a51b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BMGPDYYNJKX2GL2F4PTXTIAREX \
| 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: 0b0cf1e30d4aafa32f45e3e779a01125cc71282676c1b7a1f09c088bc453a51b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b04e6a78486feda6b268169c5e8d55a637ffb6843a949d7fd04b016d722d0063",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2022-01-12T15:07:33Z",
"title_canon_sha256": "2bc6df74f95f87d4cf810b4cc0b0dbf93aec72fb3e8283872850d1451eaa50e4"
},
"schema_version": "1.0",
"source": {
"id": "2201.04503",
"kind": "arxiv",
"version": 1
}
}