Pith Number
pith:MQI5JCMG
pith:2025:MQI5JCMGS73RJLJZ4K5C362JNW
not attested
not anchored
not stored
refs pending
Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks
arxiv:2503.04585 v1 · 2025-03-06 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MQI5JCMGS73RJLJZ4K5C362JNW}
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 | 2026-07-05T10:25:42.801396Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6411d4898697f714ad39e2ba2dfb496daeaf52c0f7155927f0d3a8fa19b97cb1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MQI5JCMGS73RJLJZ4K5C362JNW \
| 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: 6411d4898697f714ad39e2ba2dfb496daeaf52c0f7155927f0d3a8fa19b97cb1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f9210e9db97680f3cff4d7025bd5989334442d56e4625f6844bb0208d8362e7b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-06T16:22:19Z",
"title_canon_sha256": "82c14ffa1b646d9ade1c4371958da9e67afd1875ee246980a081bfe215c911c8"
},
"schema_version": "1.0",
"source": {
"id": "2503.04585",
"kind": "arxiv",
"version": 1
}
}