Pith Number

pith:FVOBYXU4

pith:2024:FVOBYXU4STV7UZCZEIZEOQ4OZH

not attested not anchored not stored refs pending

SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules

Guanghui Wang, Jing Liu, Matthew Brand, Pu Perry Wang, Toshiaki Koike-Akino, Xiangyu Chen, Ye Wang

arxiv:2403.11887 v1 · 2024-03-18 · cs.CV · cs.AI · cs.LG

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\usepackage{pith}
\pithnumber{FVOBYXU4STV7UZCZEIZEOQ4OZH}

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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

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks

Receipt and verification

First computed	2026-07-05T07:57:33.285434Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2d5c1c5e9c94ebfa6459223247438ec9f181291ca469c1aaa31fbe48477d7fe3

Aliases

arxiv: 2403.11887 · arxiv_version: 2403.11887v1 · doi: 10.48550/arxiv.2403.11887 · pith_short_12: FVOBYXU4STV7 · pith_short_16: FVOBYXU4STV7UZCZ · pith_short_8: FVOBYXU4

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/FVOBYXU4STV7UZCZEIZEOQ4OZH \
  | 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: 2d5c1c5e9c94ebfa6459223247438ec9f181291ca469c1aaa31fbe48477d7fe3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f4675458027d9585ef9adbbcd0c6020ca4a0a255439c8d2e6d4c9e999a0d96fe",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-03-18T15:40:36Z",
    "title_canon_sha256": "dd3179d5b6154742fe925360aba349e0a1bbf084f45f16864fe75e2844c7e08f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.11887",
    "kind": "arxiv",
    "version": 1
  }
}