{"as_of":"2026-08-18T04:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ab4bcae45799f1ceaada37fdda7434be738f081e9e4af1ffaab572a21ebf8ad","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T23:00:19.512509Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.15562/citation-record","integrity":"/paper/2607.15562/integrity","json":"/paper/2607.15562/citation-record.json","paper":"/paper/2607.15562"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:17.743100Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:17.743100Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:712ce34fb484f9dc70c04b7dbfc6efcf6cc06aa8903fd6d7ea14717f0929f11e","observation_id":"6ff41c73-4c25-4566-91cb-244501cfa602","resolution":{"observed_at":"2026-08-01T23:00:17.743100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:17.797772Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:17.797772Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:782da0a7b868ebfc214ab07947d2b1b6fe48780285faa8c9ff2376d16857acb5","observation_id":"8cb5d507-e488-4ce9-ab2d-97dbc264dcb5","resolution":{"observed_at":"2026-08-01T23:00:17.797772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:17.881358Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:17.881358Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:4d5b34a9528d1d9758e7affd53fe6c39319906f0df7fdba8a6faf33f3f0b87d2","observation_id":"521a6da8-35f7-40e5-a218-446f7ee6ff6c","resolution":{"observed_at":"2026-08-01T23:00:17.881358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:17.960881Z","title":"d’Avila Garcez, Marco Gori, L","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:17.960881Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:a15d851ea9a68296647c4dd83d1f6ac3ddb77733e8132faa5f427257d29eb13e","observation_id":"0f6ac1e7-ba69-443b-a463-f4d0935c6b51","resolution":{"observed_at":"2026-08-01T23:00:17.960881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.040703Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.040703Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:0e886553e78dd1412b3cc1185d8c9610d14ee33f6bd812206147739d080e26c6","observation_id":"ad6e12e4-f632-479e-8689-a11e1b078d7b","resolution":{"observed_at":"2026-08-01T23:00:18.040703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.094919Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.094919Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:8e41ba3f07717a7b67978836f5ac899df30a908a64a2788ba7ec9b7ed263a584","observation_id":"2999ebc0-2c33-4fe7-89c7-ebbb47057c4a","resolution":{"observed_at":"2026-08-01T23:00:18.094919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.249893Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.249893Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:7cc8a7b2fd1f8cfd3524bd753e01083bdbc5086a74edc1aced0b9f47e05917c4","observation_id":"55e2b6f0-3019-4207-83bd-cb153f94aa2d","resolution":{"observed_at":"2026-08-01T23:00:18.249893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.301692Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.301692Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:c7c81b728378ec14794d83b78c75c53f09fe6f6253b048ea7598618434d0e99a","observation_id":"6fe69556-361d-45b9-a007-32f13c8e47e8","resolution":{"observed_at":"2026-08-01T23:00:18.301692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.363894Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.363894Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:339662c104da35ebab421930d2a07721bfa67089e2f1224edeab28e743f0be0a","observation_id":"1e1f5474-9826-4cd1-943d-ea0b011cf70d","resolution":{"observed_at":"2026-08-01T23:00:18.363894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.430012Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.430012Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:f55189b7097303d6b18784cf0a5881470d61efc3fcf24bfff972a2b93263265d","observation_id":"b372434d-4dab-4dd3-8cfd-41702e079a71","resolution":{"observed_at":"2026-08-01T23:00:18.430012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.508397Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.508397Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:175744f7cb1e28e5a1940931d7a18d1b279113e7d4524d3f26b5b36c92124e3e","observation_id":"225bb314-bea3-4aa8-bffc-6d3002ade0f5","resolution":{"observed_at":"2026-08-01T23:00:18.508397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.588388Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.588388Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:5ae9a5985595253b036aaf39d6cc080527323a1afaf16e22295ae2640366b9cb","observation_id":"30340e7c-9f51-4b3a-baf3-1559621be426","resolution":{"observed_at":"2026-08-01T23:00:18.588388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09359","last_updated":"2025-01-16T08:15:21Z","snapshot_observed_at":"2026-08-17T20:50:57.992258Z","submitted_at":"2025-01-16T08:15:21Z","title":"A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09359","snapshot_observed_at":"2026-08-01T23:00:18.644363Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.644363Z"},"links":{"cited_paper":"/paper/2501.09359","citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:2c9c92d1252d91ef81bab155d9a2b2186c21da8e8305e134f7869a4a8425dbb7","observation_id":"d5cb248b-67e8-4990-add8-7060e6b69522","resolution":{"observed_at":"2026-08-01T23:00:18.644363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.726367Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.726367Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:d4f2d49a543ea2863e656740da0d175de7d78962342e4d21b0eeaa1a4fff222c","observation_id":"c58e6bcd-386e-499e-ad4d-ce803d68d2f0","resolution":{"observed_at":"2026-08-01T23:00:18.726367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.805130Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.805130Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:e28b0bc3f7c9101ced9ad73b7d381281be71695b189f2200c6a921d3cee86e26","observation_id":"d27426e9-5494-4b9d-9c89-b1ff6b8d95aa","resolution":{"observed_at":"2026-08-01T23:00:18.805130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.969050Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.969050Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:0e2ff56f02a189109606232669e28ef71f3b2b346b24b1de2c0c4b0c911ac843","observation_id":"275addd3-4d0f-4a42-bc31-11494b6b1c1d","resolution":{"observed_at":"2026-08-01T23:00:18.969050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.045949Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.045949Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:f4c47c6b8aa6fa6b2127ab716f6d43846b3bc5f2b6b82318568b2d4eed57a752","observation_id":"c78ecc09-4b79-4c7b-af72-562a148e69ea","resolution":{"observed_at":"2026-08-01T23:00:19.045949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.120760Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.120760Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:c56bbede526b01119a9a59786964d05ea50714268bec6eb670f88b759f4aa8e8","observation_id":"9385986e-72f7-411b-8c44-c8efe3136cd4","resolution":{"observed_at":"2026-08-01T23:00:19.120760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.201409Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.201409Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:2e8c30e628867caa70b45d561f7f9b602bd428fdcf4aae6566198233795002e0","observation_id":"e6bdb7de-16fc-4638-86b3-06eb3afa38eb","resolution":{"observed_at":"2026-08-01T23:00:19.201409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.279048Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.279048Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:3560dc1e17e56e36eca136e24c1c90138974be97b1fb363880308b5dfe083906","observation_id":"f9dcc288-2a4a-4ae1-ad96-14e463ebd345","resolution":{"observed_at":"2026-08-01T23:00:19.279048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.361489Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.361489Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:6d63eaa57ba5b6c6c150c0d510a7654af53f0ec05edd5eefdb556bdda62babad","observation_id":"29d7b2bc-ed9c-46bc-8a5f-68ca2ca6ece4","resolution":{"observed_at":"2026-08-01T23:00:19.361489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.416834Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.416834Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:e28cf6f1945a874b7f32e2290869dc2e7a4c5b80d13ffa9bb4ad161c10603a09","observation_id":"e793720e-7bcb-4ac7-a37f-14b550ce6c11","resolution":{"observed_at":"2026-08-01T23:00:19.416834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.473852Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.473852Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:f5a12589cb5f2452c9f4e16e0ecd303c5d779b78ebeb5b807e6d4ce16bef7518","observation_id":"95212046-daa3-4477-af23-b7dbbcdd01ca","resolution":{"observed_at":"2026-08-01T23:00:19.473852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:19.512509Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:19.512509Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:146e064f704eb2c0f8e1c1dc64c636bf686e531daa4fd3ce5a00f14be5d4b88a","observation_id":"4df88f26-6d30-4dd2-98a2-9f20797e865c","resolution":{"observed_at":"2026-08-01T23:00:19.512509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.888676Z","title":"InProceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.888676Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:8bab19f2f39afe491de6bb3a507a602f12e040c19671604e0ae697b28ec8b9ff","observation_id":"dab8123a-1c60-4458-8ee0-27677de08e09","resolution":{"observed_at":"2026-08-01T23:00:18.888676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:00:18.172640Z","title":"InRecommender systems handbook","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-01T23:00:18.172640Z"},"links":{"citing_paper":"/paper/2607.15562"},"observation_digest":"sha256:50dcc3c0c856919cc5733021c57f6fbc78e38adc9b40ac77d6787739894c9718","observation_id":"77194423-2e02-4bfb-96d3-7c9f93aae4e1","resolution":{"observed_at":"2026-08-01T23:00:18.172640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.15562","last_updated":"2026-07-17T02:11:00Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T15:36:52.675611Z","submitted_at":"2026-07-17T02:11:00Z","title":"Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.15562."}