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Pith Number

pith:7ARCHREH

pith:2019:7ARCHREH45T66CH5G6ENDTH45P
not attested not anchored not stored refs pending

Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems

Johannes Sappl, Laurent Seiler, Matthias Harders, Wolfgang Rauch

arxiv:1906.06925 v1 · 2019-06-17 · cs.LG · cs.NA · math.NA · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7ARCHREH45T66CH5G6ENDTH45P}

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 2026-05-17T23:43:12.309270Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f82223c487e767ef08fd3788d1ccfcebf82663cb58090be4817c67cdc72ca0bd

Aliases

arxiv: 1906.06925 · arxiv_version: 1906.06925v1 · doi: 10.48550/arxiv.1906.06925 · pith_short_12: 7ARCHREH45T6 · pith_short_16: 7ARCHREH45T66CH5 · pith_short_8: 7ARCHREH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7ARCHREH45T66CH5G6ENDTH45P \
  | 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: f82223c487e767ef08fd3788d1ccfcebf82663cb58090be4817c67cdc72ca0bd
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6c54fa1d7d6909445b11639c57666d15c993290a803971e94d7c4d7df9babf21",
    "cross_cats_sorted": [
      "cs.NA",
      "math.NA",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-06-17T09:57:06Z",
    "title_canon_sha256": "5cee94a79897ce457c771a8ebb904fb4c5eb7f16fedfe99c3bebc4b4eec0cf10"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1906.06925",
    "kind": "arxiv",
    "version": 1
  }
}