Pith Number

pith:LSCOLHTR

pith:2024:LSCOLHTRHQO4JAP2DYO2GA3YJX

not attested not anchored not stored refs pending

Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery

Guankun Wang, Hongbin Liu, Hongliang Ren, Jie Wang, Jinlin Wu, Long Bai, Mobarakol Islam, Wan Jun Nah, Zhaoxi Zhang, Zhen Chen

arxiv:2405.10948 v3 · 2024-03-22 · cs.CV · cs.AI · cs.RO · eess.IV

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\usepackage{pith}
\pithnumber{LSCOLHTRHQO4JAP2DYO2GA3YJX}

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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

7 papers in Pith

Real-Time Multimodal Activity-Aware Error Detection in Robot-Assisted Surgery

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation

Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms

Receipt and verification

First computed	2026-07-05T10:31:43.396276Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5c84e59e713c1dc481fa1e1da303784df733026fddde00dfd432cdbae3c7bbd1

Aliases

arxiv: 2405.10948 · arxiv_version: 2405.10948v3 · doi: 10.48550/arxiv.2405.10948 · pith_short_12: LSCOLHTRHQO4 · pith_short_16: LSCOLHTRHQO4JAP2 · pith_short_8: LSCOLHTR

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/LSCOLHTRHQO4JAP2DYO2GA3YJX \
  | 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: 5c84e59e713c1dc481fa1e1da303784df733026fddde00dfd432cdbae3c7bbd1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bdb3c1e323deda92f35dcc38a1a806ce9f45f77a43e9535fb884982a201dbaa2",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.RO",
      "eess.IV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-03-22T08:38:27Z",
    "title_canon_sha256": "de01be3ce8c1bf8a6daf99a6d646b0c579b6057773edef4367dc6dc03784fc10"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2405.10948",
    "kind": "arxiv",
    "version": 3
  }
}