{"as_of":"2026-08-10T09:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f54ce6b281b1c4945c4e1f3e4d60dbd4274cbbad57dc8d5fe6ee5740c5412ec6","coverage":[{"denominator":9,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T20:08:07.353479Z","state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2508.11218/citation-record","integrity":"/paper/2508.11218/integrity","json":"/paper/2508.11218/citation-record.json","paper":"/paper/2508.11218"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:08:07.486161Z","title":null,"venue":null,"work_id":"cb8e8792-d795-4718-b59a-c49746f981b5","year":2022},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.315333Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:8bca294a3af4cfff1be5e80f5d630f14fdbe7932157874965b98f94579e170d9","observation_id":"8363aa37-2717-41b9-b3f1-da2a78117c74","resolution":{"observed_at":"2026-08-05T20:08:07.489791Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T20:08:07.474032Z","title":null,"venue":null,"work_id":"a0b3597d-17f4-49db-a37d-df5de0fb7054","year":2024},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.319452Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:53238d68467eaf2204cb403780b6cac2b60aea50cfed5ace197f38ffa6781455","observation_id":"a92a2de8-cdec-4a61-b694-bce2c147630c","resolution":{"observed_at":"2026-08-05T20:08:07.477879Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T20:08:07.461019Z","title":null,"venue":null,"work_id":"11b89cf4-4057-418e-9fe4-92a99d37736b","year":2018},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.323335Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:62dbd708317fc60348ddc8f7fa282ff3017ae5c26f0f0838c245ff512fbc1740","observation_id":"a84bb380-9d9e-432a-be8e-385729bdbbd7","resolution":{"observed_at":"2026-08-05T20:08:07.465010Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03430","last_updated":"2023-02-20T09:19:30Z","snapshot_observed_at":"2026-08-09T08:26:35.480401Z","submitted_at":"2022-09-07T19:21:19Z","title":"Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03430","snapshot_observed_at":"2026-08-05T20:08:07.326992Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.326992Z"},"links":{"cited_paper":"/paper/2209.03430","citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:16ba9c7f149c7e743d812975d6fd2fb3d313d0bd30cccc22c2b0be2c6a99ac83","observation_id":"0c764899-eae0-4be5-b10b-2e5574ceb97f","resolution":{"observed_at":"2026-08-05T20:08:07.326992Z","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":"2026-08-05T20:08:07.446797Z","title":"(2022) Multi-modal transformer for video retrieval[C], Computer Vision–ECCV 2020: 16th European Conference, 214-229","venue":null,"work_id":"78c887c8-51a0-4975-b542-01be5ebcb49b","year":2022},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.332533Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:66e7494a5e319449ad23901bfbb8725790bd90cc5a757e4f831fb57c422d9ff8","observation_id":"a877e249-f6da-4322-85d3-c4a1653d42a2","resolution":{"observed_at":"2026-08-05T20:08:07.451589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T20:08:07.434372Z","title":null,"venue":null,"work_id":"b712a07b-dd71-4ab4-85b0-11cbfe9f5e6d","year":2022},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.338044Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:86aa776b4ab3da40ecd482422b6b781403a6aaf28f39bc764a815fe6e12143ed","observation_id":"11adb053-2127-427b-83e3-87dbeb5c2b5b","resolution":{"observed_at":"2026-08-05T20:08:07.438278Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T20:08:07.422001Z","title":null,"venue":null,"work_id":"ea7ba1bc-fc06-4ef9-9223-bbf92ef6d71a","year":2018},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.343380Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:0b43468f2cf7d5b2766ade245bacfb0a5ae290d4ecbfda6a74315f2b6210e7c4","observation_id":"c728e8f8-6c91-43d8-9ad5-6499e8d19165","resolution":{"observed_at":"2026-08-05T20:08:07.425751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T20:08:07.408477Z","title":null,"venue":null,"work_id":"da20f0c0-5aeb-4c64-86f2-0037c0c259bf","year":2023},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.347653Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:2d2e655d82be85007d867105f1529e82ac732dbd751abfc72271a35d6e4db96d","observation_id":"973378a3-5364-4323-8915-a0e5c3f5537a","resolution":{"observed_at":"2026-08-05T20:08:07.412585Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T20:08:07.395100Z","title":null,"venue":null,"work_id":"3a284858-5b50-4e4e-85e6-34b1762d692b","year":2021},"citing_paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T20:08:07.353479Z"},"links":{"citing_paper":"/paper/2508.11218"},"observation_digest":"sha256:1d7f6a44fc00ff25925bf5eded95901c30331f09906d5f92616326e39187797e","observation_id":"a7cfaa09-5ce7-4f82-a82f-2289df18948d","resolution":{"observed_at":"2026-08-05T20:08:07.399794Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.11218","last_updated":"2025-08-15T04:50:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T00:16:17.346352Z","submitted_at":"2025-08-15T04:50:27Z","title":"A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving"},"reference_resolution":{"displayed":9,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":9},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2508.11218."}