Pith Number

pith:EUX3JVZD

pith:2026:EUX3JVZDRD6UESA4LX5N53W7UO

not attested not anchored not stored refs pending

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos

Carlo Biffi, Lamberto Ballan, Loic Le Folgoc, Luca Parolari, Pietro Gori

Temporal structure in colonoscopy videos supplies enough signal for a noise-aware contrastive loss to learn polyp representations that outperform prior methods on retrieval, re-identification, size estimation, and histology tasks.

arxiv:2605.12320 v2 · 2026-05-12 · cs.CV

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\usepackage{pith}
\pithnumber{EUX3JVZDRD6UESA4LX5N53W7UO}

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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.

Claims

C1strongest claim

Our method outperforms prior self-supervised and supervised baselines, and matches or exceeds recent foundation models across all tasks, using a lightweight encoder trained on only 27 videos.

C2weakest assumption

That the temporally derived associations, even when noisy, contain enough correct signal for the noise-aware loss to produce representations that generalize to the downstream clinical tasks; the abstract does not detail how noise levels were measured or controlled.

C3one line summary

A noise-aware contrastive loss built on temporal self-supervision learns polyp tracklet representations from 27 videos that outperform prior self-supervised and supervised baselines and match foundation models on retrieval, re-identification, size estimation, and histology classification.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T02:05:46.009142Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

252fb4d72388fd42481c5dfadeeedfa3be45350349b6d029558591175a24ee81

Aliases

arxiv: 2605.12320 · arxiv_version: 2605.12320v2 · doi: 10.48550/arxiv.2605.12320 · pith_short_12: EUX3JVZDRD6U · pith_short_16: EUX3JVZDRD6UESA4 · pith_short_8: EUX3JVZD

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/EUX3JVZDRD6UESA4LX5N53W7UO \
  | 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: 252fb4d72388fd42481c5dfadeeedfa3be45350349b6d029558591175a24ee81

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "64c9b82294bae386e36e61b8c2442c4a5a49822c42d974c1f761b2ca8d811bed",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-12T16:04:42Z",
    "title_canon_sha256": "2af566d934b8005f079deb2a3e4a5a0288a7a755fb97d43fd44b320e2c207cf3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12320",
    "kind": "arxiv",
    "version": 2
  }
}