{"as_of":"2026-08-14T10:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9e358bae32e1d258d073b5c4cce598f35dbc883686ae30f568d804b08b4fa52b","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T12:32:24.851653Z","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":"2026-08-06T22:17:54.162887Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.02581","last_updated":"2025-07-22T13:20:58Z","snapshot_observed_at":"2026-08-07T17:30:32.829590Z","submitted_at":"2025-03-04T13:04:46Z","title":"Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02581","snapshot_observed_at":"2026-08-12T12:32:24.851653Z","title":"Unveiling the potential of segment anything model 2 for rgb-thermal semantic segmentation with language guidance,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2411.17141","last_updated":"2025-05-15T18:54:21Z","snapshot_observed_at":"2026-08-12T12:25:58.124112Z","submitted_at":"2024-11-26T06:15:27Z","title":"Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T12:32:24.851653Z"},"links":{"cited_paper":"/paper/2503.02581","citing_paper":"/paper/2411.17141"},"observation_digest":"sha256:0b6a8478135751b0feb59c5d84dd5a7c6ccfa4eb34f876efd6a7ec9f2d91e651","observation_id":"5fcf5c26-9c72-4f0e-ab6f-06168516796a","resolution":{"observed_at":"2026-08-12T12:32:24.851653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02581","last_updated":"2025-07-22T13:20:58Z","snapshot_observed_at":"2026-08-07T17:30:32.829590Z","submitted_at":"2025-03-04T13:04:46Z","title":"Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02581","snapshot_observed_at":"2026-08-07T15:43:30.697183Z","title":"Unveiling the potential of segment anything model 2 for rgb-thermal semantic segmentation with language guidance,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.14014","last_updated":"2025-05-20T07:08:49Z","snapshot_observed_at":"2026-08-12T06:05:32.452466Z","submitted_at":"2025-05-20T07:08:49Z","title":"EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T15:43:30.697183Z"},"links":{"cited_paper":"/paper/2503.02581","citing_paper":"/paper/2505.14014"},"observation_digest":"sha256:94de312f01f62735f315c2413565c5446cbfffcbf045663c5a58494be1132749","observation_id":"385a25b5-c5b0-41fe-bbb8-94eced14162c","resolution":{"observed_at":"2026-08-07T15:43:30.697183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02581","last_updated":"2025-07-22T13:20:58Z","snapshot_observed_at":"2026-08-07T17:30:32.829590Z","submitted_at":"2025-03-04T13:04:46Z","title":"Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02581","snapshot_observed_at":"2026-08-07T11:04:00.526326Z","title":"Unveiling the potential of segment anything model 2 for rgb-thermal semantic segmentation with language guidance,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03675","last_updated":"2025-06-04T08:04:58Z","snapshot_observed_at":"2026-08-12T11:17:08.591102Z","submitted_at":"2025-06-04T08:04:58Z","title":"BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:04:00.526326Z"},"links":{"cited_paper":"/paper/2503.02581","citing_paper":"/paper/2506.03675"},"observation_digest":"sha256:cbb10685ebae07a27b95f4fe4997b518784ccd58c6b8569446de5b6d35f8fce6","observation_id":"85c2180f-2b79-46a1-8897-ba83e26bbc90","resolution":{"observed_at":"2026-08-07T11:04:00.526326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02581","last_updated":"2025-07-22T13:20:58Z","snapshot_observed_at":"2026-08-07T17:30:32.829590Z","submitted_at":"2025-03-04T13:04:46Z","title":"Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance","version":2},"cited_work":{"arxiv_id":"2503.02581","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.02581","snapshot_observed_at":"2026-08-06T22:17:54.162887Z","title":"Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance","venue":"cs.CV","work_id":"9b458075-c18d-4667-86b1-00251f8d1699","year":2025},"citing_paper":{"arxiv_id":"2506.22032","last_updated":"2025-06-27T09:26:50Z","snapshot_observed_at":"2026-08-12T11:14:37.541344Z","submitted_at":"2025-06-27T09:26:50Z","title":"Partial CLIP is Enough: Chimera-Seg for Zero-shot Semantic Segmentation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T22:17:53.873542Z"},"links":{"cited_paper":"/paper/2503.02581","citing_paper":"/paper/2506.22032"},"observation_digest":"sha256:b309fdc7ad32b1b04aa1bbd7acb0cf22775ce567281d5a4aab5093692dbb047d","observation_id":"0523980e-47e1-4ab9-847e-56598d3eed4c","resolution":{"observed_at":"2026-08-06T22:17:54.171444Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.02581/citation-record","integrity":"/paper/2503.02581/integrity","json":"/paper/2503.02581/citation-record.json","paper":"/paper/2503.02581"},"outbound":[],"paper":{"arxiv_id":"2503.02581","last_updated":"2025-07-22T13:20:58Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:30:32.829590Z","submitted_at":"2025-03-04T13:04:46Z","title":"Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.02581."}