{"as_of":"2026-08-09T06:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3b6ea296f5316b292a23ac761de5f416ce5281e22c265b4a93d4226e488529f6","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:59:21.064209Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T20:17:21.273617Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-08-07T14:59:21.064209Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.16865","last_updated":"2025-06-04T11:31:59Z","snapshot_observed_at":"2026-08-07T17:34:45.087540Z","submitted_at":"2025-05-22T16:22:54Z","title":"LARES: Latent Reasoning for Sequential Recommendation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T14:59:21.064209Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2505.16865"},"observation_digest":"sha256:69a4a7707f4db22c2c6ebbe049cddc1dd66c6551a5bff16b0731f8cb32bdac76","observation_id":"4a9c83a0-57f7-478f-8a6d-4beb6350b844","resolution":{"observed_at":"2026-08-07T14:59:21.064209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-08-06T21:40:51.262022Z","title":"Slow thinking for sequential recommendation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.23643","last_updated":"2025-06-30T09:13:54Z","snapshot_observed_at":"2026-08-08T19:59:25.994669Z","submitted_at":"2025-06-30T09:13:54Z","title":"Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:40:51.262022Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2506.23643"},"observation_digest":"sha256:95a9512164f93948200b87ec0860c3fd0a3a87ee55cecbff31f0c0ce9ea294ba","observation_id":"5109b47d-93ec-47cf-b289-58b950941f4a","resolution":{"observed_at":"2026-08-06T21:40:51.262022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"2504.09627","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-07-02T20:17:21.273617Z","title":"Slow thinking for sequential recommendation","venue":null,"work_id":"88c64b12-9149-47bb-b10a-77e86bbe105e","year":2025},"citing_paper":{"arxiv_id":"2510.27157","last_updated":"2026-05-09T03:19:23Z","snapshot_observed_at":"2026-08-02T06:54:15.933170Z","submitted_at":"2025-10-31T04:02:58Z","title":"A Survey on Generative Recommendation: Data, Model, and Tasks","version":2},"reference_index":230,"source":"pdf_text","source_observed_at":"2026-05-18T03:47:08.208082Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2510.27157"},"observation_digest":"sha256:64b6384de1dc1774dd64618a07156e2370e99412a0ead66471c81915fcc71933","observation_id":"31217f0a-cded-41bc-97b6-5fed5fd26a4a","resolution":{"observed_at":"2026-05-18T03:50:52.170894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-08-03T13:20:05.539642Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.24787","last_updated":"2026-06-11T02:25:51Z","snapshot_observed_at":"2026-08-06T18:07:20.685251Z","submitted_at":"2025-12-31T11:16:24Z","title":"HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent","version":5},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T13:20:05.539642Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2512.24787"},"observation_digest":"sha256:5ec57d66bccad6fd2c0bed7fd9b1e66790126fc0303e67d64fe6add8fd7b987c","observation_id":"35e1564d-d620-48f5-a4f9-b3760c2a8bff","resolution":{"observed_at":"2026-08-03T13:20:05.539642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"2504.09627","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-07-02T20:17:21.273617Z","title":"Slow thinking for sequential recommendation","venue":null,"work_id":"88c64b12-9149-47bb-b10a-77e86bbe105e","year":2025},"citing_paper":{"arxiv_id":"2601.18664","last_updated":"2026-05-18T05:37:00Z","snapshot_observed_at":"2026-08-02T19:20:47.252158Z","submitted_at":"2026-01-26T16:40:37Z","title":"S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-21T14:23:44.856958Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2601.18664"},"observation_digest":"sha256:4d60b51ef3fc695db4ce8de78a4396e20bc19af35c541a92b728ba55c261ae7b","observation_id":"10fa9b11-6ca8-4e13-94d4-42b558c15d59","resolution":{"observed_at":"2026-05-21T14:24:12.949728Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-08-02T22:31:38.000954Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.16587","last_updated":"2026-05-31T14:01:56Z","snapshot_observed_at":"2026-08-02T22:31:32.204803Z","submitted_at":"2026-02-18T16:38:21Z","title":"Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T22:31:38.000954Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2602.16587"},"observation_digest":"sha256:ae8d83bae0dcd3051a8faec28bd0c11eaeb293bd0360c08d197260b73a9d7f48","observation_id":"3e3e8a16-6c27-4810-862d-5debb9b15d3f","resolution":{"observed_at":"2026-08-02T22:31:38.000954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"2504.09627","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-07-02T20:17:21.273617Z","title":"Slow thinking for sequential recommendation","venue":null,"work_id":"88c64b12-9149-47bb-b10a-77e86bbe105e","year":2025},"citing_paper":{"arxiv_id":"2604.14051","last_updated":"2026-04-15T16:29:37Z","snapshot_observed_at":"2026-07-06T23:01:55.698452Z","submitted_at":"2026-04-15T16:29:37Z","title":"Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T12:19:48.208628Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2604.14051"},"observation_digest":"sha256:3aab949f26757b3b39d15829acb1b5217d16de09cd623085027714c91f92adf9","observation_id":"4535cf27-5b7b-4504-b141-955126a5f515","resolution":{"observed_at":"2026-05-10T12:20:22.478393Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"2504.09627","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-07-02T20:17:21.273617Z","title":"Slow thinking for sequential recommendation","venue":null,"work_id":"88c64b12-9149-47bb-b10a-77e86bbe105e","year":2025},"citing_paper":{"arxiv_id":"2604.14878","last_updated":"2026-04-16T11:07:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-16T11:07:05Z","title":"GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T09:58:14.599825Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2604.14878"},"observation_digest":"sha256:c74139407998b02bc329c17669652b7de04a8131f5d45c2c137ae9a9c465787e","observation_id":"56aa727d-63b0-4aa7-a1f7-9dfb2666d576","resolution":{"observed_at":"2026-05-10T09:59:02.917877Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"2504.09627","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-07-02T20:17:21.273617Z","title":"Slow thinking for sequential recommendation","venue":null,"work_id":"88c64b12-9149-47bb-b10a-77e86bbe105e","year":2025},"citing_paper":{"arxiv_id":"2604.23156","last_updated":"2026-04-25T06:05:41Z","snapshot_observed_at":"2026-07-06T23:09:23.591544Z","submitted_at":"2026-04-25T06:05:41Z","title":"Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-08T07:32:27.258441Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2604.23156"},"observation_digest":"sha256:242201c19f8353c99be8a7b5e44548bfdd33031b07ae75f836677e686527ddda","observation_id":"e5582fd2-1458-4110-aa09-f638d41944e4","resolution":{"observed_at":"2026-05-11T21:01:10.778083Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"2504.09627","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-07-02T20:17:21.273617Z","title":"Slow thinking for sequential recommendation","venue":null,"work_id":"88c64b12-9149-47bb-b10a-77e86bbe105e","year":2025},"citing_paper":{"arxiv_id":"2606.07075","last_updated":"2026-06-10T07:02:50Z","snapshot_observed_at":"2026-07-06T23:46:46.925980Z","submitted_at":"2026-06-05T09:12:54Z","title":"Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-27T20:50:16.765453Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2606.07075"},"observation_digest":"sha256:cebd2023c5c228eeb16a3c94ad1b513d1fd672bce8005c9610c9101030875448","observation_id":"9231f115-e364-442b-ad34-c13de9f96dc2","resolution":{"observed_at":"2026-07-02T20:17:21.275095Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09627","snapshot_observed_at":"2026-08-01T01:28:22.551317Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.27789","last_updated":"2026-07-30T07:23:07Z","snapshot_observed_at":"2026-08-06T15:18:43.832236Z","submitted_at":"2026-07-30T07:23:07Z","title":"From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T01:28:22.551317Z"},"links":{"cited_paper":"/paper/2504.09627","citing_paper":"/paper/2607.27789"},"observation_digest":"sha256:27db0685d0c628b32b297b33b1dad0228cf74deeb435921bc38c2bf300126f91","observation_id":"e1ac95d5-0b5b-482c-a5b6-2fdf7ec38803","resolution":{"observed_at":"2026-08-01T01:28:22.551317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.09627/citation-record","integrity":"/paper/2504.09627/integrity","json":"/paper/2504.09627/citation-record.json","paper":"/paper/2504.09627"},"outbound":[],"paper":{"arxiv_id":"2504.09627","last_updated":"2025-04-13T15:53:30Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T16:06:08.374899Z","submitted_at":"2025-04-13T15:53:30Z","title":"Slow Thinking for Sequential Recommendation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2504.09627."}