Pith Number
pith:7YT3EINT
pith:2026:7YT3EINTZC6D66YUO6R4FFVYRR
not attested
not anchored
not stored
refs pending
Emergence of a Flow-Assisted Casting Strategy for Olfactory Navigation via Memory-Augmented Reinforcement Learning
arxiv:2605.18881 v1 · 2026-05-16 · cs.LG · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7YT3EINTZC6D66YUO6R4FFVYRR}
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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 | 2026-05-20T00:06:30.285134Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe27b221b3c8bc3f7b1477a3c296b88c736295e57f0a5f9778f32d38fa2c4eb8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YT3EINTZC6D66YUO6R4FFVYRR \
| 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: fe27b221b3c8bc3f7b1477a3c296b88c736295e57f0a5f9778f32d38fa2c4eb8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3456618b65a457e7bee97b3c778d1e5600e3e97d614099ff3d8123e8ab9dd08d",
"cross_cats_sorted": [
"physics.flu-dyn"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-16T03:32:48Z",
"title_canon_sha256": "ea2f9cf8dcad6b301891548fe5f5f15c5ca5075919399b7c665148d579dbb333"
},
"schema_version": "1.0",
"source": {
"id": "2605.18881",
"kind": "arxiv",
"version": 1
}
}