Pith Number

pith:7XDZ2PSJ

pith:2025:7XDZ2PSJEYALRUBZQ35H6LN2ID

not attested not anchored not stored refs pending

Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems

Chao Zhou, Chenchen Mou, Jingguo Zhang, Xianjin Yang

arxiv:2502.11506 v1 · 2025-02-17 · cs.LG · math.OC · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{7XDZ2PSJEYALRUBZQ35H6LN2ID}

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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

Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems

Receipt and verification

First computed	2026-07-05T10:15:29.851601Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fdc79d3e492600b8d03986fa7f2dba40e9a211ce8f95f1d1a527e74a016a8705

Aliases

arxiv: 2502.11506 · arxiv_version: 2502.11506v1 · doi: 10.48550/arxiv.2502.11506 · pith_short_12: 7XDZ2PSJEYAL · pith_short_16: 7XDZ2PSJEYALRUBZ · pith_short_8: 7XDZ2PSJ

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/7XDZ2PSJEYALRUBZQ35H6LN2ID \
  | 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: fdc79d3e492600b8d03986fa7f2dba40e9a211ce8f95f1d1a527e74a016a8705

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1266fdcc92ce84bb8714c9eca20c652afff87d6a295be104040eae43ddc64e61",
    "cross_cats_sorted": [
      "math.OC",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-02-17T07:14:30Z",
    "title_canon_sha256": "5c2a1aac7173e8c9fa7a79486509ae438f29fb5ae325ca5c6942184799c32bd3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2502.11506",
    "kind": "arxiv",
    "version": 1
  }
}