{
  "schema_version": 2,
  "release_id": "2026-10-19-w43",
  "published_at": "2026-10-19T17:50:33Z",
  "previous_source_commit": "2ea2b9170d5d43e271ce199e76ebe2df70f27c4d",
  "previous_release_id": "2026-10-11-readable",
  "previous_snapshot_sha256": "dff750d40ad43cc3ceff807a3d1997a6566a02aadf00056d41d77677cf171d67",
  "current_snapshot_sha256": "b55e7b7437f8c3316fe42bb2a0ec22468c95fe24c47afe858fe49e2fdfb9deec",
  "snapshot_path": "/assets/news.json",
  "predecessor_verified": true,
  "reviewed": true,
  "snapshot_hash_basis": "SHA256 of exact UTF-8 news.json bytes; record hashes use sorted-key compact UTF-8 JSON.",
  "badge_days": 14,
  "badge_meaning": "New means added in this reviewed catalog release, not newly published research. Updated means a reviewed material record change. Badges expire 14 days after first publication; unchanged builds do not reset them.",
  "changes": [
    {
      "record_id": "kdd-2020-new-product-attention",
      "record_type": "news",
      "change_kind": "new",
      "previous_release_id": "appgprj_6acc227cdb748191b1e2282f00d42e44~appgver_58bd58815ef881919f419a4f200007c2",
      "previous_snapshot_sha256": "e79f9fd4021f28c2ded597031886fdfdfb1ddc4173dedfab0393e0436b3f6bd1",
      "current_release_id": "2026-10-11-readable",
      "current_snapshot_sha256": "39d3f3b280ebc9996f5dc6c49b48a129f377d0376cb715a8b9d2436745eea264",
      "previous_record_sha256": null,
      "current_record_sha256": "c208ba8fe2299a20ae4b38166b9cc81e5a9532262bd6f84ccfa0d5385681b325",
      "change_reason": "First inclusion in public News; the older work was already canonical R08. Official abstract and Applied Data Science track checked; full text still pending.",
      "review_id": "coldstart-review-kdd2020-news-20261012T042413Z",
      "reviewed_at": "2026-10-12T04:24:13Z",
      "first_published_at": "2026-10-12T04:25:36Z",
      "badge_expires_at": "2026-10-26T04:25:36Z",
      "review_status": "source_checked_provisional",
      "evidence_links": [
        "https://www.kdd.org/kdd2020/accepted-papers/view/attention-based-multi-modal-new-product-sales-time-series-forecasting.html",
        "https://www.kdd.org/kdd2020/accepted-papers.html",
        "https://research.ibm.com/publications/attention-based-multi-modal-new-product-sales-time-series-forecasting"
      ]
    }
  ],
  "weekly_updates": "Grok team workflow prepared in factory; no native Grok scheduler or unattended publisher has been installed.",
  "evidence_status": "Partial curated literature; no model runs.",
  "snapshot_correction": "The 2026-10-11-readable release.json recorded current_snapshot_sha256 39d3f3b280ebc9996f5dc6c49b48a129f377d0376cb715a8b9d2436745eea264, but that hash never matched the served /assets/news.json. From gh-pages b9cdff2 through 4e7e0a4 the served file was 40d683ed336d91ebee1dc48099af6f0fd062116b7835685b961d1917954c6054; from 2ea2b91 it was dff750d40ad43cc3ceff807a3d1997a6566a02aadf00056d41d77677cf171d67. Its reviewed:true claim therefore did not hold for the served snapshot. This release records the actual served predecessor hash.",
  "kdd_badge_note": "KDD 2020 change record carried over unchanged from 2026-10-11-readable (record sha256 c208ba8fe2299a20ae4b38166b9cc81e5a9532262bd6f84ccfa0d5385681b325). It was not added in this release.",
  "scope_filter_20261019": "Owner directive 2026-10-19: news restricted to cold-start / zero-history time-series forecasting. Removed news items msi-kenvue-2026, censored-fashion-2025, visuelle2-2022 (archived in the canonical store). Snapshot hash changed from 90bb0c0013535ca6f4e6d8d5633c4abf70742e14e844704be7ff41b9f949da08 to b55e7b7437f8c3316fe42bb2a0ec22468c95fe24c47afe858fe49e2fdfb9deec; remaining records unchanged."
}