{"as_of":"2026-08-07T22:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fe0437c39c665c11c618bc96f153bda95788058ce986c95d3d1ed915bed976c6","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:44:55.861291Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2508.04353/citation-record","integrity":"/paper/2508.04353/integrity","json":"/paper/2508.04353/citation-record.json","paper":"/paper/2508.04353"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:58.657086Z","title":"A comprehensive review on video summarization techniques,","venue":null,"work_id":"f4597792-0b78-4449-8b2d-4f751e05b388","year":2022},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.286793Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:68df21ceecd61e03a6880a0cddc84781c954e45463f0e83eb30b6447252d0731","observation_id":"705aa325-7546-492b-827c-03f9e895c913","resolution":{"observed_at":"2026-08-06T00:44:58.730114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:58.387534Z","title":"Content-based multimedia information retrieval: State of the art and challenges,","venue":null,"work_id":"43db6749-e0f9-4a04-9884-6faa2d50672f","year":2006},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.397327Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:efc5a452a70a6c23cbf4b7c0d396f6f4428c86d505767ae34dd5372a7bab4de8","observation_id":"22b58314-d83c-4593-80f4-f19251535347","resolution":{"observed_at":"2026-08-06T00:44:58.545241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:58.121229Z","title":"Multimodal machine learning: A survey and taxonomy,","venue":null,"work_id":"067acc04-ad89-4a00-8774-16510bf11ecd","year":2019},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.505231Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:73533467af77b3036f18b60923e91509016f0424a1f7c9599426af639af13dec","observation_id":"291f180b-1e51-46f9-8915-0a505a5a5576","resolution":{"observed_at":"2026-08-06T00:44:58.275432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-06T00:44:54.580819Z","title":"A survey of large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.580819Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:48e0399d878f29a06ff8fdc7a6e6da42a12c50c531dc63df20ff6b01c1ef4be4","observation_id":"44f98050-b16e-4377-a007-0f5bd9e7caaf","resolution":{"observed_at":"2026-08-06T00:44:54.580819Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:58.044372Z","title":"Language models are few-shot learners,","venue":null,"work_id":"02130e99-148d-4921-91e6-87547233088e","year":2020},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.683322Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:21daf53232fa051636f29f3704ae760a70651f1eaacfd2dba725ad2979a73f2d","observation_id":"0381c68c-e56c-4fd2-8121-bde4793e6b55","resolution":{"observed_at":"2026-08-06T00:44:58.047228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:58.034200Z","title":"Pillow (pil fork),","venue":null,"work_id":"934372c3-6743-4ba7-a84f-23f5c5df3990","year":2024},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.762300Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:903af0b3634e080e50e14646a6f613dfe28795f31b0548e8216f8ed764a052d0","observation_id":"bdef69f9-fcb2-4200-99d6-05ef0dc738c1","resolution":{"observed_at":"2026-08-06T00:44:58.039550Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:57.850526Z","title":"The ”data","venue":null,"work_id":"66f6fced-151b-4bcd-9142-4f8916d6e5dd","year":1998},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.868597Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:e152deb5a9c1906f740e8dc7d0ce3c1440545fdf8dd6d78eada0fe7228494d16","observation_id":"ce1e8904-7af1-4438-9a61-c289ed9ea417","resolution":{"observed_at":"2026-08-06T00:44:57.967362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:57.622677Z","title":"FFmpeg Multimedia Framework,","venue":null,"work_id":"6183b517-f0fc-4774-be91-a2307d74690c","year":2024},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:54.952498Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:b62d27bf00a7ebe52357703e24a6d046ad3fcd5a211abe58e098fa3fa48ca603","observation_id":"da38bf58-a3a2-4112-9217-cdeb01e8743a","resolution":{"observed_at":"2026-08-06T00:44:57.729851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:57.381868Z","title":"Whisper model card,","venue":null,"work_id":"ad1bf3fe-2abf-4a65-b22f-520d2df811c4","year":2022},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.040974Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:f147e8f9d45efce13c2a3676756fcda677c0b75a99492a3f697a08e138667d29","observation_id":"ed6a5e57-9177-4228-b28f-92f4f017af14","resolution":{"observed_at":"2026-08-06T00:44:57.516661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04356","last_updated":"2022-12-06T18:46:04Z","snapshot_observed_at":"2026-07-06T14:28:21.844826Z","submitted_at":"2022-12-06T18:46:04Z","title":"Robust Speech Recognition via Large-Scale Weak Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04356","snapshot_observed_at":"2026-08-06T00:44:55.143750Z","title":"Robust speech recognition via large-scale weak super- vision,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.143750Z"},"links":{"cited_paper":"/paper/2212.04356","citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:f792a7e4ad24fcea710167306ee1af13754e5e7be0fa46d864646253b8d4bce9","observation_id":"98012ba0-e535-44b2-9250-01c475c5d8a7","resolution":{"observed_at":"2026-08-06T00:44:55.143750Z","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":"2026-08-06T00:44:55.225751Z","title":"A statistical model-based voice activity detection,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.225751Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:beafb56aab8745292d42934ff192d1929dc6238d81ff0b172d0a93cf2aec27ca","observation_id":"a3c1534f-a4f5-4799-9457-14a59c7466d8","resolution":{"observed_at":"2026-08-06T00:44:55.225751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-08-07T13:04:50.040909Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-06T00:44:55.343842Z","title":"Mixtral of experts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.343842Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:2c3ee4bb3b736434330b360346ee1d2d47d1ff350dcca9122eda240b418d7e29","observation_id":"63bfd8f6-cc3d-4036-a871-d6b046874730","resolution":{"observed_at":"2026-08-06T00:44:55.343842Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:57.119314Z","title":null,"venue":null,"work_id":"6d5c79b1-5316-457e-b5b6-f8a458adfbd0","year":2002},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.402498Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:0b2fdbe26a8e195a43119c7f7e052dfaa4b104deb6bfa7186fbfb5c528c9b7c5","observation_id":"dc3eaad9-5c41-4925-857d-63eba57f35ee","resolution":{"observed_at":"2026-08-06T00:44:57.243302Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:56.879218Z","title":"Video abstraction: A systematic review and classification,","venue":null,"work_id":"8d58d30d-92df-4de9-a870-19222f814507","year":2007},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.461653Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:e94bd24a686b8dfb1d79473d07a2acaf33e90bb22c0eea89a6db605d575b483c","observation_id":"50753272-2686-4055-bc73-66633bf12f61","resolution":{"observed_at":"2026-08-06T00:44:56.995380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:56.620454Z","title":"Long-term recurrent convolutional networks for visual recognition and description,","venue":null,"work_id":"bcab8e6c-1ac2-4e65-bdc8-198253e05b38","year":2015},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.529737Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:3da0cc6e8ef3a757f6db3ce3faf16d5981e87564c81d8861043f82255edef8a2","observation_id":"9d15d469-8449-4f10-be8b-11e3ebfa16fa","resolution":{"observed_at":"2026-08-06T00:44:56.727679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:56.332611Z","title":"Attention is all you need,","venue":null,"work_id":"fe8f7596-6830-4818-93ab-329ca4e813eb","year":2017},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.628392Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:5b6cfb8a99fd1da231f3eefbd07dfbda96ed654edba75b4c1500642bec66e098","observation_id":"baff4128-77da-45e0-816d-10a5a6567ed2","resolution":{"observed_at":"2026-08-06T00:44:56.474737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:44:56.038392Z","title":"Is space-time attention all you need for video understanding?","venue":null,"work_id":"8f5afe8b-68ef-4b06-a70f-fbee857939ea","year":2021},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.747229Z"},"links":{"citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:78c20921826aca3541cf189984862c5c2442e6b5de5d2c3468c5eba911620f7f","observation_id":"db81f707-addc-4908-9aa0-0bf7b4e4818d","resolution":{"observed_at":"2026-08-06T00:44:56.175278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.00711","last_updated":"2020-10-01T22:33:21Z","snapshot_observed_at":"2026-08-06T21:03:51.198097Z","submitted_at":"2020-10-01T22:33:21Z","title":"A Survey of the State of Explainable AI for Natural Language Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.00711","snapshot_observed_at":"2026-08-06T00:44:55.861291Z","title":"A survey of the state of explainable ai for natural language processing,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T00:44:55.861291Z"},"links":{"cited_paper":"/paper/2010.00711","citing_paper":"/paper/2508.04353"},"observation_digest":"sha256:a94e2ee03ddd9f35f5567d19f69939774f6cc1af63e86eab36166de33fbdfa7c","observation_id":"0bff55a2-e3e0-4fb5-855b-657db1219fe2","resolution":{"observed_at":"2026-08-06T00:44:55.861291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.04353","last_updated":"2025-08-06T11:48:51Z","latest_version":1,"primary_category":"cs.MM","snapshot_observed_at":"2026-08-07T20:30:29.538850Z","submitted_at":"2025-08-06T11:48:51Z","title":"LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":18},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2508.04353."}