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Pith Number

pith:DVTIP6ZL

pith:2025:DVTIP6ZLV4SI6N463OFJJOY2EK
not attested not anchored not stored refs pending

AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition

Fei Wang, Tengteng Dong, Weijie Feng, Xiao Sun, Xuxiong Liu

arxiv:2503.24057 v1 · 2025-03-31 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DVTIP6ZLV4SI6N463OFJJOY2EK}

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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.
Receipt and verification
First computed 2026-07-05T10:42:03.783396Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1d6687fb2baf248f379edb8a94bb1a22b5d0b5b43eaffd5a471d2db669703483

Aliases

arxiv: 2503.24057 · arxiv_version: 2503.24057v1 · doi: 10.48550/arxiv.2503.24057 · pith_short_12: DVTIP6ZLV4SI · pith_short_16: DVTIP6ZLV4SI6N46 · pith_short_8: DVTIP6ZL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DVTIP6ZLV4SI6N463OFJJOY2EK \
  | 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: 1d6687fb2baf248f379edb8a94bb1a22b5d0b5b43eaffd5a471d2db669703483
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1d1c96358a8f42b435fc98aba893462276ba818bbbabe2b6c68e36fc9e3b6494",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-03-31T13:17:43Z",
    "title_canon_sha256": "e1eb2e00b262dac5176af19a43358e4690935f6321de098263193ae8978c5154"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2503.24057",
    "kind": "arxiv",
    "version": 1
  }
}