Pith. sign in
Pith Number

pith:XZIHKSAM

pith:2026:XZIHKSAMMP7SC6RZC3P2TRYG7S
not attested not anchored not stored refs pending

PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?

Jie Lin, Liansheng Wang, Yu Liang, Zongyi Chen

arxiv:2607.28318 v1 · 2026-07-30 · cs.AI

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\usepackage{pith}
\pithnumber{XZIHKSAMMP7SC6RZC3P2TRYG7S}

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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 2026-07-31T01:37:13.631447Z
Builder pith-number-builder-2026-05-17-v1
Signature unsigned_v0
Schema pith-number/v1.0

Canonical hash

be5075480c63ff217a3916dfa9c706fc96dad720385d2e9f7e0756cfd38985e1

Aliases

arxiv: 2607.28318 · arxiv_version: 2607.28318v1 · doi: 10.48550/arxiv.2607.28318 · pith_short_12: XZIHKSAMMP7S · pith_short_16: XZIHKSAMMP7SC6RZ · pith_short_8: XZIHKSAM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XZIHKSAMMP7SC6RZC3P2TRYG7S \
  | 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: be5075480c63ff217a3916dfa9c706fc96dad720385d2e9f7e0756cfd38985e1
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "61782f0d4b9de713a19987ff0ba7dcdf971ea88eb1e25e181b438b2ab3932abe",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-07-30T14:53:51Z",
    "title_canon_sha256": "56511e49a38da526a3610314a441638ecbb86e5e4b076d7a6b75f955d0e241b0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2607.28318",
    "kind": "arxiv",
    "version": 1
  }
}