{"as_of":"2026-08-24T04:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:12d52c60bf197e9f0f9db3698416e3c2a28c9f64abfc7f5c87c4641b88bbafdb","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:16:55.212413Z","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":"2026-07-04T20:20:07.244693Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.18118","last_updated":"2025-08-25T15:23:21Z","snapshot_observed_at":"2026-08-05T16:38:13.654430Z","submitted_at":"2025-08-25T15:23:21Z","title":"HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation","version":1},"cited_work":{"arxiv_id":"2508.18118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.18118","snapshot_observed_at":"2026-07-04T20:20:07.244693Z","title":"arXiv: 2508.18118 [cs.IR]","venue":null,"work_id":"78ed755e-25a2-439a-96f3-4c254a049ce7","year":2025},"citing_paper":{"arxiv_id":"2603.10673","last_updated":"2026-05-20T15:21:58Z","snapshot_observed_at":"2026-07-06T22:48:39.649787Z","submitted_at":"2026-03-11T11:40:13Z","title":"Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-21T12:19:39.257977Z"},"links":{"cited_paper":"/paper/2508.18118","citing_paper":"/paper/2603.10673"},"observation_digest":"sha256:a764600eb251f1d56919613783b7a565e1a5a63b1a24fd26c252549b8975e5e4","observation_id":"21d1706b-a913-4e54-a5b2-6f384a99606b","resolution":{"observed_at":"2026-05-21T12:20:06.740338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18118","last_updated":"2025-08-25T15:23:21Z","snapshot_observed_at":"2026-08-05T16:38:13.654430Z","submitted_at":"2025-08-25T15:23:21Z","title":"HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation","version":1},"cited_work":{"arxiv_id":"2508.18118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.18118","snapshot_observed_at":"2026-07-04T20:20:07.244693Z","title":"arXiv: 2508.18118 [cs.IR]","venue":null,"work_id":"78ed755e-25a2-439a-96f3-4c254a049ce7","year":2025},"citing_paper":{"arxiv_id":"2605.12138","last_updated":"2026-05-12T13:58:06Z","snapshot_observed_at":"2026-08-20T10:36:51.356488Z","submitted_at":"2026-05-12T13:58:06Z","title":"Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T07:34:41.000570Z"},"links":{"cited_paper":"/paper/2508.18118","citing_paper":"/paper/2605.12138"},"observation_digest":"sha256:cc4b74d4091af1e782391e88dafa507f536b132b52e32467b4f5d237a62f7e67","observation_id":"304e948c-e071-409e-be0c-0d6ad00a7288","resolution":{"observed_at":"2026-05-13T07:37:29.493607Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18118","last_updated":"2025-08-25T15:23:21Z","snapshot_observed_at":"2026-08-05T16:38:13.654430Z","submitted_at":"2025-08-25T15:23:21Z","title":"HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation","version":1},"cited_work":{"arxiv_id":"2508.18118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.18118","snapshot_observed_at":"2026-07-04T20:20:07.244693Z","title":"arXiv: 2508.18118 [cs.IR]","venue":null,"work_id":"78ed755e-25a2-439a-96f3-4c254a049ce7","year":2025},"citing_paper":{"arxiv_id":"2606.25496","last_updated":"2026-06-24T07:23:20Z","snapshot_observed_at":"2026-07-06T23:59:57.346004Z","submitted_at":"2026-06-24T07:23:20Z","title":"Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-25T20:21:09.611166Z"},"links":{"cited_paper":"/paper/2508.18118","citing_paper":"/paper/2606.25496"},"observation_digest":"sha256:3978c9d22390cf92b9ffbf51c9537c8f863b9059b7dd6106842fb6321d05ddaa","observation_id":"c79d312c-b36b-496d-8ab7-545b9b0531a0","resolution":{"observed_at":"2026-07-04T20:20:07.246427Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18118","last_updated":"2025-08-25T15:23:21Z","snapshot_observed_at":"2026-08-05T16:38:13.654430Z","submitted_at":"2025-08-25T15:23:21Z","title":"HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.18118","snapshot_observed_at":"2026-08-11T14:16:55.212413Z","title":"arXiv preprint arXiv:2508.18118 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09605","last_updated":"2026-08-10T13:47:46Z","snapshot_observed_at":"2026-08-21T17:57:40.686420Z","submitted_at":"2026-08-10T13:47:46Z","title":"TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T14:16:55.212413Z"},"links":{"cited_paper":"/paper/2508.18118","citing_paper":"/paper/2608.09605"},"observation_digest":"sha256:e40f6bfdaeb39324c1277ef66862dd9ed8dfc209f1a334d628d89f38ce85d06e","observation_id":"18ff9c39-cf85-4678-b5ff-630dfa8b1c6a","resolution":{"observed_at":"2026-08-11T14:16:55.212413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.18118/citation-record","integrity":"/paper/2508.18118/integrity","json":"/paper/2508.18118/citation-record.json","paper":"/paper/2508.18118"},"outbound":[],"paper":{"arxiv_id":"2508.18118","last_updated":"2025-08-25T15:23:21Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-05T16:38:13.654430Z","submitted_at":"2025-08-25T15:23:21Z","title":"HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.18118."}