Pith Number

pith:SSRFYJPR

pith:2020:SSRFYJPRE7CJK7VMSOOLCVZ74T

not attested not anchored not stored refs pending

An implicit function learning approach for parametric modal regression

Amir-massoud Farahmand, Ehsan Imani, Martha White, Yangchen Pan

arxiv:2002.06195 v2 · 2020-02-14 · stat.ML · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{SSRFYJPRE7CJK7VMSOOLCVZ74T}

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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.

Cited by

1 paper in Pith

Generalized Global Self-Optimizing Control for Chemical Processes: Part II Objective-Guided Controlled Variable Learning Approach

Receipt and verification

First computed	2026-07-05T01:47:29.756015Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

94a25c25f127c4957eac939cb1573fe4f4a5758b87254507afc5c3a607988352

Aliases

arxiv: 2002.06195 · arxiv_version: 2002.06195v2 · doi: 10.48550/arxiv.2002.06195 · pith_short_12: SSRFYJPRE7CJ · pith_short_16: SSRFYJPRE7CJK7VM · pith_short_8: SSRFYJPR

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SSRFYJPRE7CJK7VMSOOLCVZ74T \
  | 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: 94a25c25f127c4957eac939cb1573fe4f4a5758b87254507afc5c3a607988352

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ce747fccde2e68e6903beb14d350a99b986928e4ee76fda3f7cb49528d32d1b7",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2020-02-14T00:37:41Z",
    "title_canon_sha256": "fd61d95757266381897a459dcbbd4449adf9a8a90e6f2abedea9435cee0605ab"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2002.06195",
    "kind": "arxiv",
    "version": 2
  }
}