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Pith Number

pith:DMIXRMZO

pith:2017:DMIXRMZOPTMJ5MCZAERTSANEP6
not attested not anchored not stored refs pending

Sense-and-Predict: Opportunistic MAC Based on Spatial Interference Correlation for Cognitive Radio Networks

Han Cha, Jeemin Kim, Seong-Lyun Kim, Seung-Woo Ko

arxiv:1702.03507 v1 · 2017-02-12 · cs.IT · math.IT

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 2026-05-18T00:50:53.637612Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1b1178b32e7cd89eb05901233901a47f8f9c5a8f65418f16de3d296cf7a36cb0

Aliases

arxiv: 1702.03507 · arxiv_version: 1702.03507v1 · doi: 10.48550/arxiv.1702.03507 · pith_short_12: DMIXRMZOPTMJ · pith_short_16: DMIXRMZOPTMJ5MCZ · pith_short_8: DMIXRMZO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMIXRMZOPTMJ5MCZAERTSANEP6 \
  | 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: 1b1178b32e7cd89eb05901233901a47f8f9c5a8f65418f16de3d296cf7a36cb0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "0c70868f6bf3307c7fd7631fdf754aea573a42b5d974e0a608f0959ba7de6c6c",
    "cross_cats_sorted": [
      "math.IT"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.IT",
    "submitted_at": "2017-02-12T09:29:54Z",
    "title_canon_sha256": "abb30b6eefcd7fe959ba6ec7ee9f45a8aff9f04f1e01c14b4a8a937a885f34a1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1702.03507",
    "kind": "arxiv",
    "version": 1
  }
}