Pith. sign in
Pith Number

pith:DHRXEKZM

pith:2026:DHRXEKZMQOAFYKBS5UZTU7VGWM
not attested not anchored not stored refs pending

NeuroMem-FHP: A Likelihood-Free Deep Learning Framework for Parameter Estimation of Fractional Hawkes Process

Aditya Maheshwari, Neha Gupta

arxiv:2607.11177 v1 · 2026-07-13 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DHRXEKZMQOAFYKBS5UZTU7VGWM}

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 2026-07-14T01:22:20.624780Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

19e3722b2c83805c2832ed333a7ea6b31f97c6e8ea806d64610c32e899414309

Aliases

arxiv: 2607.11177 · arxiv_version: 2607.11177v1 · doi: 10.48550/arxiv.2607.11177 · pith_short_12: DHRXEKZMQOAF · pith_short_16: DHRXEKZMQOAFYKBS · pith_short_8: DHRXEKZM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DHRXEKZMQOAFYKBS5UZTU7VGWM \
  | 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: 19e3722b2c83805c2832ed333a7ea6b31f97c6e8ea806d64610c32e899414309
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "55c5946e8f487100ae8b456e1b6770fa1b9f3c6f854838bad19e206682290d8f",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-07-13T07:19:01Z",
    "title_canon_sha256": "6ce69aa8cc8aa49a9f518bfe7a1f10dd4e4ec7843325562c204fda458e971f1f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2607.11177",
    "kind": "arxiv",
    "version": 1
  }
}