Pith Number
pith:DGERZMW6
pith:2024:DGERZMW6BPQSVUJVZKPKU4LXO3
not attested
not anchored
not stored
refs pending
A Machine Learning Framework for the Prediction of Grain Boundary Segregation in Chemically Complex Environments
arxiv:2404.06499 v2 · 2024-04-09 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DGERZMW6BPQSVUJVZKPKU4LXO3}
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 | 2026-07-05T08:29:25.275123Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
19891cb2de0be12ad135ca9eaa717776ef81e7b552ff305ad70564958945acb5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DGERZMW6BPQSVUJVZKPKU4LXO3 \
| 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: 19891cb2de0be12ad135ca9eaa717776ef81e7b552ff305ad70564958945acb5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "124fb992c20165b3a825845547c7b344f8d1e1cc4dfe3417fe3f82d1f2cf1cce",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2024-04-09T17:51:21Z",
"title_canon_sha256": "1ea790751d271693906c41dc20e19609c007a1cd7574fc6c302de7226b84409e"
},
"schema_version": "1.0",
"source": {
"id": "2404.06499",
"kind": "arxiv",
"version": 2
}
}