Pith. sign in
Pith Number

pith:N7LVINO3

pith:2025:N7LVINO3S73YXETOYPETEWJTJR
not attested not anchored not stored refs pending

From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases

Benjamin Sanchez-Lengeling, Brian K. Lee, Cher Tian Ser, Ella M. Rajaonson, Gary Tom, Hyun Suk Park, Stanley Lo

arxiv:2501.16271 v1 · 2025-01-27 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N7LVINO3S73YXETOYPETEWJTJR}

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.

Cited by

2 papers in Pith

Receipt and verification
First computed 2026-07-05T10:05:57.833562Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6fd75435db97f78b926ec3c93259334c595e12a366fbfc46bd79bff627371335

Aliases

arxiv: 2501.16271 · arxiv_version: 2501.16271v1 · doi: 10.48550/arxiv.2501.16271 · pith_short_12: N7LVINO3S73Y · pith_short_16: N7LVINO3S73YXETO · pith_short_8: N7LVINO3
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N7LVINO3S73YXETOYPETEWJTJR \
  | 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: 6fd75435db97f78b926ec3c93259334c595e12a366fbfc46bd79bff627371335
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "31110bbaba58173d8a854ef2033b770a5b1f0d5b20d3c2ecf35a8f6350a2daca",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-01-27T18:05:28Z",
    "title_canon_sha256": "afe443ae32b5589172461afdcbdffc82acb37170436d89120c3dc9c15df43fc1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.16271",
    "kind": "arxiv",
    "version": 1
  }
}