{"as_of":"2026-08-05T06:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cab3705bb842634aa9f5557f4a3cfd1c04f1fe677b83501677fed59ef4047e6d","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T19:37:18.613746Z","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":"2026-05-13T19:38:10.430618Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.15365","last_updated":"2024-05-24T08:58:48Z","snapshot_observed_at":"2026-07-06T18:19:13.078606Z","submitted_at":"2024-05-24T08:58:48Z","title":"U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2405.15365","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.15365","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U3m: Unbi- ased multiscale modal fusion model for multimodal semantic segmentation","venue":null,"work_id":"10a539a0-15c3-411a-8f08-576959e47523","year":2024},"citing_paper":{"arxiv_id":"2604.02948","last_updated":"2026-04-03T10:32:02Z","snapshot_observed_at":"2026-07-06T22:52:15.263364Z","submitted_at":"2026-04-03T10:32:02Z","title":"CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-13T19:37:18.613746Z"},"links":{"cited_paper":"/paper/2405.15365","citing_paper":"/paper/2604.02948"},"observation_digest":"sha256:eb1145b70cc0a25c70962248a4ee26a602a76c52161cd86d186748491510c6fe","observation_id":"a6c397f4-1668-432e-bc77-46875f82edc1","resolution":{"observed_at":"2026-05-13T19:38:10.432359Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15365","last_updated":"2024-05-24T08:58:48Z","snapshot_observed_at":"2026-07-06T18:19:13.078606Z","submitted_at":"2024-05-24T08:58:48Z","title":"U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2405.15365","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.15365","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U3m: Unbi- ased multiscale modal fusion model for multimodal semantic segmentation","venue":null,"work_id":"10a539a0-15c3-411a-8f08-576959e47523","year":2024},"citing_paper":{"arxiv_id":"2604.15652","last_updated":"2026-06-29T11:35:08Z","snapshot_observed_at":"2026-07-12T19:39:58.692635Z","submitted_at":"2026-04-17T02:49:46Z","title":"Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T08:19:50.019519Z"},"links":{"cited_paper":"/paper/2405.15365","citing_paper":"/paper/2604.15652"},"observation_digest":"sha256:3c3c2e6d5fdff42a20dcdb45bfc355cf89c6d395b601782ea4cb1ea4ac0ad86c","observation_id":"01da8bb0-b14c-46b7-afd0-a0d06897b11f","resolution":{"observed_at":"2026-05-10T08:22:37.131464Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15365","last_updated":"2024-05-24T08:58:48Z","snapshot_observed_at":"2026-07-06T18:19:13.078606Z","submitted_at":"2024-05-24T08:58:48Z","title":"U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2405.15365","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.15365","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U3m: Unbi- ased multiscale modal fusion model for multimodal semantic segmentation","venue":null,"work_id":"10a539a0-15c3-411a-8f08-576959e47523","year":2024},"citing_paper":{"arxiv_id":"2605.03259","last_updated":"2026-05-05T01:17:27Z","snapshot_observed_at":"2026-07-06T23:16:10.769968Z","submitted_at":"2026-05-05T01:17:27Z","title":"CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-08T01:36:02.920908Z"},"links":{"cited_paper":"/paper/2405.15365","citing_paper":"/paper/2605.03259"},"observation_digest":"sha256:b3bdad1095ab80b37fac556877270527b553e14cfa2beef62ac774c5dd28f5d2","observation_id":"bc77f67b-594f-47a5-8a1d-b061779cff13","resolution":{"observed_at":"2026-05-12T10:46:31.169805Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.15365/citation-record","integrity":"/paper/2405.15365/integrity","json":"/paper/2405.15365/citation-record.json","paper":"/paper/2405.15365"},"outbound":[],"paper":{"arxiv_id":"2405.15365","last_updated":"2024-05-24T08:58:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:19:13.078606Z","submitted_at":"2024-05-24T08:58:48Z","title":"U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.15365."}