Pith Number
pith:E7IDO36Q
pith:2026:E7IDO36QNMP5O4TMJHB72GALR3
not attested
not anchored
not stored
refs pending
On-the-Fly Machine-Learned Force Fields for High-Fidelity Polymer Glass Transition Simulations
arxiv:2601.17137 v2 · 2026-01-23 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E7IDO36QNMP5O4TMJHB72GALR3}
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.
Receipt and verification
| First computed | 2026-06-19T16:12:17.880566Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
27d0376fd06b1fd7726c49c3fd180b8ec33a10fb7c639ae284b0344dd58f1179
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E7IDO36QNMP5O4TMJHB72GALR3 \
| 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: 27d0376fd06b1fd7726c49c3fd180b8ec33a10fb7c639ae284b0344dd58f1179
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a76cf516afd138a9ba311a526bf4809485eccf56a77647f7bb920005c47f1336",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2026-01-23T19:27:56Z",
"title_canon_sha256": "fdcfd5df1112f36480d48cb507f7a22ea539832dea12d08a29125e87a039e06f"
},
"schema_version": "1.0",
"source": {
"id": "2601.17137",
"kind": "arxiv",
"version": 2
}
}