Pith. sign in
Pith Number

pith:ME5ZDBA2

pith:2026:ME5ZDBA27F3QXBGJ7NYYUEASMT
not attested not anchored not stored refs pending

SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery

Cheng Tan, Hanhui Yang, Hao Wu, Lei Bai, Mengdi Liu, Minghao Fang, SciForge Team: Zhangyang Gao, Shixiang Tang, Shuizhou Chen, Siqi Sun, Xinyu Gu, Yifei Liu

arxiv:2607.16038 v1 · 2026-07-17 · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ME5ZDBA27F3QXBGJ7NYYUEASMT}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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 2026-07-20T02:19:27.704801Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

613b91841af9770b84c9fb718a101264edf48949f2e16bb76c4b05cbf3831807

Aliases

arxiv: 2607.16038 · arxiv_version: 2607.16038v1 · doi: 10.48550/arxiv.2607.16038 · pith_short_12: ME5ZDBA27F3Q · pith_short_16: ME5ZDBA27F3QXBGJ · pith_short_8: ME5ZDBA2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ME5ZDBA27F3QXBGJ7NYYUEASMT \
  | 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: 613b91841af9770b84c9fb718a101264edf48949f2e16bb76c4b05cbf3831807
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "55efee51c070029da43fb3bba1d6e9f31de7240371b2af1bfec190cf39bc0f1d",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-07-17T15:13:03Z",
    "title_canon_sha256": "ca8abeead381a1e26463ae6cf7fedbc16b0f117a6be01bde2dc3cdd94c0882e2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2607.16038",
    "kind": "arxiv",
    "version": 1
  }
}