Pith Number
pith:TEQXN2N5
pith:2026:TEQXN2N5K25NGOYLBSPXBGBJ64
not attested
not anchored
not stored
refs pending
Physics-Grounded Fluid Video Generation with a Simulation Dataset and Dual-Stream Optical-Flow Supervision
arxiv:2607.25321 v1 · 2026-07-28 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TEQXN2N5K25NGOYLBSPXBGBJ64}
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 | 2026-07-29T01:25:08.918834Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
992176e9bd56bad33b0b0c9f709829f71c8a64929419086aed8ab52be5986516
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TEQXN2N5K25NGOYLBSPXBGBJ64 \
| 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: 992176e9bd56bad33b0b0c9f709829f71c8a64929419086aed8ab52be5986516
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0b9176cf7fcb985b77d5dea085cf7418200d4a29b07ad2f59e25044de10e5fc1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-28T06:13:18Z",
"title_canon_sha256": "b297f3b87b8153692e91dd2405897e0704a2d3679f53dd3c02e815a83d480e4e"
},
"schema_version": "1.0",
"source": {
"id": "2607.25321",
"kind": "arxiv",
"version": 1
}
}