Pith. sign in
Pith Number

pith:YJA43STW

pith:2026:YJA43STWFOJIMOGR4KGYLJQ3WS
not attested not anchored not stored refs pending

NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes

Anastasis Kratsios, Giulia Livieri, Philipp Schmocker

arxiv:2607.14361 v1 · 2026-07-15 · math.PR · cs.LG · q-fin.CP · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YJA43STWFOJIMOGR4KGYLJQ3WS}

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 open · sign in to claim
4 Citations open
5 Replications open
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 2026-07-17T00:21:07.843539Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c241cdca762b928638d1e28d85a61bb4b7f42f6f0e6d4101d7a336b209d7aef2

Aliases

arxiv: 2607.14361 · arxiv_version: 2607.14361v1 · doi: 10.48550/arxiv.2607.14361 · pith_short_12: YJA43STWFOJI · pith_short_16: YJA43STWFOJIMOGR · pith_short_8: YJA43STW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YJA43STWFOJIMOGR4KGYLJQ3WS \
  | 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: c241cdca762b928638d1e28d85a61bb4b7f42f6f0e6d4101d7a336b209d7aef2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "098224798f244f4ba33d67efdcf38ca820830cdc185b99afd0fcfcaaf37159a0",
    "cross_cats_sorted": [
      "cs.LG",
      "q-fin.CP",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.PR",
    "submitted_at": "2026-07-15T20:53:51Z",
    "title_canon_sha256": "fe341d80fc2dcb8d8e52ab6bb36824f82e52303d1ea4b14dba94efdd33871650"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2607.14361",
    "kind": "arxiv",
    "version": 1
  }
}