Pith Number
pith:Y2I7I7FF
pith:2026:Y2I7I7FF7FKN5PAOCLDOTP7BNX
not attested
not anchored
not stored
refs pending
Predictive Coding with Bayesian Priors via Proximal Gradients
arxiv:2606.08374 v1 · 2026-06-06 · eess.SY · cs.LG · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y2I7I7FF7FKN5PAOCLDOTP7BNX}
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 | 2026-06-09T01:05:34.984727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c691f47ca5f954debc0e12c6e9bfe16dd8456068867e457f8c8b54e522ec99af
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y2I7I7FF7FKN5PAOCLDOTP7BNX \
| 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: c691f47ca5f954debc0e12c6e9bfe16dd8456068867e457f8c8b54e522ec99af
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "13fa6e5d9aaac721489e319e7554eb52bab166e714147b8568aa1a1f3b498387",
"cross_cats_sorted": [
"cs.LG",
"cs.SY"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2026-06-06T23:41:11Z",
"title_canon_sha256": "5a2e5ac9d64db17adb5b1218e7cb3def8f3dc4bea7ad41b9dbd2e8ee09d233ff"
},
"schema_version": "1.0",
"source": {
"id": "2606.08374",
"kind": "arxiv",
"version": 1
}
}