{"as_of":"2026-08-09T13:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:695d4c51a0f2274929c5789d1173052da3098a661f9edb153ce98ab43a089c76","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T14:04:42.649660Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T15:18:30.014864Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.00360","last_updated":"2023-12-04T04:38:17Z","snapshot_observed_at":"2026-07-06T16:55:29.501535Z","submitted_at":"2023-12-01T05:50:44Z","title":"Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00360","snapshot_observed_at":"2026-08-07T14:04:42.649660Z","title":"Efficient multimodal semantic segmentation via dual- prompt learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20041","last_updated":"2025-05-26T14:26:31Z","snapshot_observed_at":"2026-08-09T08:03:40.546138Z","submitted_at":"2025-05-26T14:26:31Z","title":"DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:04:42.649660Z"},"links":{"cited_paper":"/paper/2312.00360","citing_paper":"/paper/2505.20041"},"observation_digest":"sha256:e5f8d3aa93a139fcddfb58ea1bf7278a51dfcd133873766857eb097b1f819094","observation_id":"4e74b6fc-6280-4516-a533-9be7d3afd704","resolution":{"observed_at":"2026-08-07T14:04:42.649660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00360","last_updated":"2023-12-04T04:38:17Z","snapshot_observed_at":"2026-07-06T16:55:29.501535Z","submitted_at":"2023-12-01T05:50:44Z","title":"Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning","version":2},"cited_work":{"arxiv_id":"2312.00360","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.00360","snapshot_observed_at":"2026-08-06T15:18:30.014864Z","title":"Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning","venue":"cs.CV","work_id":"eb1ab6ce-e099-4b28-8cb9-d493e247c76e","year":2023},"citing_paper":{"arxiv_id":"2507.16318","last_updated":"2025-07-28T07:25:40Z","snapshot_observed_at":"2026-08-07T23:40:52.151243Z","submitted_at":"2025-07-22T08:00:49Z","title":"M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:19.060825Z"},"links":{"cited_paper":"/paper/2312.00360","citing_paper":"/paper/2507.16318"},"observation_digest":"sha256:cc7a707d68fa6278ce844713905fce73b3122f7b352f79c183ffe5371e0c58ac","observation_id":"30295ddd-2af1-4985-a9fc-73c1f12c7b43","resolution":{"observed_at":"2026-08-06T15:18:30.100016Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00360","last_updated":"2023-12-04T04:38:17Z","snapshot_observed_at":"2026-07-06T16:55:29.501535Z","submitted_at":"2023-12-01T05:50:44Z","title":"Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00360","snapshot_observed_at":"2026-08-04T17:57:10.219394Z","title":"Efficient multimodal semantic segmentation via dual-prompt learning.arXiv preprint arXiv:2312.00360, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10408","last_updated":"2025-09-12T16:58:51Z","snapshot_observed_at":"2026-08-04T17:57:09.327441Z","submitted_at":"2025-09-12T16:58:51Z","title":"Multimodal SAM-adapter for Semantic Segmentation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T17:57:10.219394Z"},"links":{"cited_paper":"/paper/2312.00360","citing_paper":"/paper/2509.10408"},"observation_digest":"sha256:0ae937341e249d35477c912ae8b1125f10963ad8ff9e6a79bf2b30810d13950f","observation_id":"afa845c1-4515-4aef-a7e1-0fb2a2eac19c","resolution":{"observed_at":"2026-08-04T17:57:10.219394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.00360/citation-record","integrity":"/paper/2312.00360/integrity","json":"/paper/2312.00360/citation-record.json","paper":"/paper/2312.00360"},"outbound":[],"paper":{"arxiv_id":"2312.00360","last_updated":"2023-12-04T04:38:17Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:55:29.501535Z","submitted_at":"2023-12-01T05:50:44Z","title":"Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.00360."}