Pith Number

pith:Q5BPFQLC

pith:2026:Q5BPFQLCHFXRRDFC5AQWWHLOGQ

not attested not anchored not stored refs pending

Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation

Chaohui Dang, James Glasbey, Kedi Sun, Le Zhang, Theodoros N. Arvanitis, Yue Feng

A hierarchical adapter compresses long surgical videos into tokens that let language models generate accurate procedure reports.

arxiv:2605.11208 v2 · 2026-05-11 · cs.CV

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\pithnumber{Q5BPFQLCHFXRRDFC5AQWWHLOGQ}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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.

Claims

C1strongest claim

Experiments show our approach achieves the best overall performance, with consistent gains over strong Multimodal Large Language Model (MLLM) baselines.

C2weakest assumption

The 214 simulated surgical videos paired with surgeon-authored reports are sufficiently representative of real clinical procedures and that the Sur40k pretraining on public videos transfers without major domain shift to the target benchmark.

C3one line summary

Hi-GaTA is a gated temporal pyramid adapter that aggregates multi-scale video features via text-conditioned cross-attention and gated fusion to enable LLM-based surgical report generation, backed by a new 214-video benchmark and Sur40k pretrained encoder.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:03:17.398055Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8742f2c162396f188ca2e8216b1d6e343a25d48a8f6c2113d03725524cbde68d

Aliases

arxiv: 2605.11208 · arxiv_version: 2605.11208v2 · doi: 10.48550/arxiv.2605.11208 · pith_short_12: Q5BPFQLCHFXR · pith_short_16: Q5BPFQLCHFXRRDFC · pith_short_8: Q5BPFQLC

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q5BPFQLCHFXRRDFC5AQWWHLOGQ \
  | 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: 8742f2c162396f188ca2e8216b1d6e343a25d48a8f6c2113d03725524cbde68d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "018dd5e2d274d21743ee41e8226d3afc691ac1cd23f2def1a0b3a60204784ae0",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-11T20:21:34Z",
    "title_canon_sha256": "7e824eaacba1115d6278db4c95621346a6e9cb78e486bc73bafe31da13b7a9ca"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.11208",
    "kind": "arxiv",
    "version": 2
  }
}