Pith Number

pith:P74XXDLT

pith:2025:P74XXDLTSNISP3MX3PPSISRFZQ

not attested not anchored not stored refs pending

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition

Lin Li, Longjie Luo, Qingyang Hong

arxiv:2505.24450 v2 · 2025-05-30 · cs.SD · eess.AS

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\usepackage{pith}
\pithnumber{P74XXDLTSNISP3MX3PPSISRFZQ}

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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

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition

Receipt and verification

First computed	2026-07-05T11:25:45.326665Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7ff97b8d73935127ed97dbdf244a25cc163b551bcec4bd8b2b16c13fbcae0ef3

Aliases

arxiv: 2505.24450 · arxiv_version: 2505.24450v2 · doi: 10.48550/arxiv.2505.24450 · pith_short_12: P74XXDLTSNIS · pith_short_16: P74XXDLTSNISP3MX · pith_short_8: P74XXDLT

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/P74XXDLTSNISP3MX3PPSISRFZQ \
  | 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: 7ff97b8d73935127ed97dbdf244a25cc163b551bcec4bd8b2b16c13fbcae0ef3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "835045d73a17a5ab2912b2e3ccebd197c2d2371b39a9352dfe42c5f05a0f3e60",
    "cross_cats_sorted": [
      "eess.AS"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2025-05-30T10:36:32Z",
    "title_canon_sha256": "0f717d4f6f01b8839b4e57f0c428ef2ffcdaff2eee5eb084ea311aaac67d8971"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.24450",
    "kind": "arxiv",
    "version": 2
  }
}