{"as_of":"2026-08-10T16:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e6c057d0755f08510b8d92cd2cbe800f21da2f90a6ffd16860982893e64017fe","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T01:25:47.283903Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"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/2606.17722/citation-record","integrity":"/paper/2606.17722/integrity","json":"/paper/2606.17722/citation-record.json","paper":"/paper/2606.17722"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:25:47.283903Z","title":"Vivone, M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:a5b50d26f75ed05952572d85ff6d9a3ae8ae56d47361598bc3a21f9578a3b605","observation_id":"808ac3a2-1a42-4eb4-b896-562fbd02c846","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:af12bc9313a30dbcd62457d19b5aa15e7bca6366d0410dd7503b0e7f9bcff155","observation_id":"18f7dbee-2079-4892-b05a-761de4a960a2","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Zhang, H","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:9e2a0657397b71e1cfc8606c6b532ad3b718b565561ecaaf33ac3056966e5595","observation_id":"e31c944d-9c4e-4c06-bad8-c63f7f019abf","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Vivone, L","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:ced7e8cf687f4004a30ba12645e7cf08871a07dd67c24a9afdfb3a3a2e3d1999","observation_id":"931db16f-be3a-48df-8b8a-460967b51b0c","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:2dc0c6284faa38b89480f1dcd0119e781865f3335007483e7a3a75c723c5b1df","observation_id":"25ed8b64-af29-43a0-b660-5d42f36f8d91","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:85304bd9bd6e03b825fa40e2d5c78109d89356521f5da367839103ec29fe9926","observation_id":"2198f369-c86d-47b1-a311-0ab3bad2dadf","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:e561738128c0369b47f9e35e95f75e99e3d366bdee21d28706ed2cedf91e698a","observation_id":"53474f51-5ed5-4cbc-8c0e-b3e6b287cfd5","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:85b4b097644fcb4ded3d86c99e6baca246bf9683257547e5ebc7aef9fd72ae69","observation_id":"5f3952b2-91bf-4b7f-8a4e-986bd6ddfd1d","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:a56fb6afbcd89fa76b7dee0b9b089607ecccf383484a3b6dc026bff7aeada442","observation_id":"672bfad6-de11-4935-895a-8d0fbcab55de","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:57827f3ae0cde7a7bd61ff883445826b60732e1267ea4040668c00813df01043","observation_id":"c468fe8f-3409-460b-9add-dfd47b9f2a05","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:90e4ff86b42599c550969c4f48d55f3cf5e5fee1d10a126c96b31a8f6ec1ef1d","observation_id":"b0786d0c-97f7-439a-9c3b-85d90fff7d6f","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:97b89c7e67b0384bafe53da2775ae03ea204116dd6bd42398fc38464234a2d9e","observation_id":"2e662e1b-9a89-463c-90a6-105635cc3639","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:ab4250229e6d9258442f267f4a101fbee75cf63b89609d48f308377e3549b104","observation_id":"8e063ea8-9cb5-4399-8922-e9591ba2e78b","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:be76e3dbf9b5b648e390ad1889dd2850b474e02e6b94e8d3a48e7bbcc5b34772","observation_id":"a99c35b1-976d-4667-9013-4d039c224800","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:1b589297c467454f2a95a83c07acc5618fea49704f1204c3e069b5065865a7a1","observation_id":"e870f1c9-8498-455a-8b3e-2034040525e1","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:81ece3b8c07f929127966c57a2fa2687b33faa5b416ab2397f491722dde08637","observation_id":"8ee787b4-1d72-4531-98ab-269796b957ad","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Wang,Learningcontinuous imagerepresentation with local implicit image function, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021, pp","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:3a8ff8dd3a67d18babad644e214aa24a416f347c4e4101964a3c4fea1ceb05fd","observation_id":"0ec6c969-daa4-406b-9e43-82f7234f25bd","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:007e6e2d9fbf427b8c3a2a0b1811b5e6e4370ae7541c7e610865efd3f9c379a7","observation_id":"0fa19204-6cf5-488b-916e-6b2b4532a9ae","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:872be605970c4d3e95ef0558f650a840895738704585e8593096afceb7e19eb0","observation_id":"56a9dfcb-cf80-4609-aef8-193aa35e2713","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Liang, Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:da23f736add73b608d9b52d8d917a4a298bd34ada7b4e0daec4420aa68c57605","observation_id":"97276888-3b75-4fbc-8ae1-758a3c360bf0","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Kerbl, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:d78959be0606e6a0d7c1c62376494162d8c253e6f114fa8e1d0c87680e5829ce","observation_id":"243ed1d6-ddca-4d0c-84c1-a70c7838afef","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:db4c051ef87c23c2cc3c793fd26873efa352365234c279ed2353f3f4bfe8145f","observation_id":"8b6e7ec5-598d-42e7-8889-51fd3dc83ddd","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:c551475c05a0016fd9ad9a2bfdd87a96ec8b9bcdc760e555dfee5ffe16b95371","observation_id":"a7b0a4d4-5375-4624-b48a-fc14cc93ba36","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Scarpa, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:4ab7578ccef60317baac828cde09cf81e8ecc582b89483092541ac2e1debe890","observation_id":"355a375c-d0db-44c1-8f86-201f5a0d7af1","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:fe7f7f63c085c79cfd00f3925e65b95855dab6b927ad700b85dc7e0347d72feb","observation_id":"78ef21a4-cc1d-46c3-a58d-5d10c3182d27","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Jin, L.-J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:f890c70a9b06cef60b79434a97ebe89d05d408b55b0f8b31fcb5c0a447ec5d63","observation_id":"30210409-65b1-4d10-9cb9-ed2b16b67b67","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:592a590b0c3bce529c9099c822bc7716dc22711491d4820666d6f6b3e1cd8e5c","observation_id":"1522dee7-2fda-47c4-9bcd-d1f9f232f3ff","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:d9b85510b9b34bc9f65f6649c909cb4c8687089be6885fbbfa400ba2896d66c1","observation_id":"9ed1d46b-2090-4e3a-a28c-1f85d30eb074","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Zhang, Z","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:b66d9a9a9d2288915da0f2b5c0f81698081c1d0873a2ba074ba55ca3d367bad0","observation_id":"0b70fedf-817b-465a-b63a-0cdf6fb2e9d8","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:f27d3aca5545465a51959e350962c87196463ce15f9cd990422760d7d927909f","observation_id":"01345ed2-ead5-462c-a9d7-4bd8408a49e7","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Cao, L.-J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:437a7216103ac64f2fec9ff694ed8ed3e088afce16a1924a3f26f442d5a25b6b","observation_id":"ce8a93bf-6986-44de-9878-09371a9f23f3","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:55ce05ef124f21b50e8aa39d8e261d09d4cf652904c80fbb9bea79a3585a634d","observation_id":"42019bf2-84af-4827-bd3b-be2ccf351e24","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:5a02e898b182ed598422dbb54b0ba63554fb5d897df3b2374b0f4aae12977f59","observation_id":"6381ce83-32ce-4234-aa1f-92d6c95f192c","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:99cc1d8f8ceb7c57bf68710af09d9bc3c0e3366a7ae7d4df3fecdcff5fa488fc","observation_id":"01ee6b18-d8c3-4ea4-9100-2fd15e40a517","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.14412","last_updated":"2026-07-08T05:49:00Z","snapshot_observed_at":"2026-08-09T09:37:20.182176Z","submitted_at":"2026-03-15T14:55:46Z","title":"G-ZAP: A Generalizable Zero-Shot Framework for Arbitrary-Scale Pansharpening","version":2},"cited_work":{"arxiv_id":"2603.14412","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2603.14412","snapshot_observed_at":"2026-07-09T02:19:51.808644Z","title":null,"venue":null,"work_id":"d737ab7a-0cd7-42d8-ab07-39f59c3a835b","year":2026},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"cited_paper":"/paper/2603.14412","citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:f08c14be73ff3b6a4d791f7efbf1ff618564e94a9f29d58dcb9233d4f4a832fc","observation_id":"e151a2fd-55fa-4ef6-9ae2-deb6ffcac0d7","resolution":{"observed_at":"2026-07-09T02:19:51.808644Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:25:47.283903Z","title":"Zhang, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:0d79822e870dfe5f478db4011ef9e8664d22cfd7a5982239a3f6ee0de639edc4","observation_id":"34719586-e01f-48ba-bce6-edf3d61395cd","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06617","last_updated":"2025-03-09T13:43:57Z","snapshot_observed_at":"2026-08-07T17:18:59.220372Z","submitted_at":"2025-03-09T13:43:57Z","title":"Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling","version":1},"cited_work":{"arxiv_id":"2503.06617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06617","snapshot_observed_at":"2026-07-08T12:34:54.693312Z","title":"Pixel to gaussian: Ultra-fast continuous super-resolution with 2d gaussian modeling","venue":"cs.CV","work_id":"bb03bdbd-1f52-4906-9aa4-79f74d6f4226","year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"cited_paper":"/paper/2503.06617","citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:e492e2d4d9ec3b9d02d2502072b1b8517f693753120bfbca5369308c7711fd20","observation_id":"1f967c97-4e2b-4285-ab79-9f6f15147a98","resolution":{"observed_at":"2026-07-03T20:18:57.292115Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:1dff42b57124cee384484656dbdfb12450c5cdd8a1a13b71aa02c95eb4edf475","observation_id":"3417a8c9-47f8-4f06-a640-c537ab7cf23f","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"10012–10022","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:460981cc46167a1b3d2c8c8ba9e1bce97b9ab82542a224aa287983e447f6931a","observation_id":"566b691f-c8fe-4281-819a-604bee760a01","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:c2e951e9b0d7b7ba5812a4795a0bc84ae84358a73bef3ef7a6bd9c69be8fc9de","observation_id":"7a2bf84c-dffa-4797-9987-910c97269b06","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:78ae6a26cb5d1b53b101a64042e2f03151ea8812d8251d59cd0097f16d140114","observation_id":"8fa947cf-3579-4a3f-8a1f-d749940dd11c","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:0436549cbeb1a7e61a5cd741aafc5e2edd7faa8096e660063241345419cc75b1","observation_id":"cb708b7d-1d08-4d21-9f99-e4c36064a03a","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Alparone, L","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:ad58f7fb8580e00aa13263ab2b5493f8c667edca89eae3de9d51f3658604f44d","observation_id":"ffaac7cd-e5ba-4c82-82f7-0f143ea3cc7e","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Garzelli, F","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:e9dd006c64579fe8cfaa218b81f82a46be2bd6695daf645a97345c00905db025","observation_id":"7e88bb64-6d9f-4da2-bfdd-d58a525f1048","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Arienzo, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:b16ed6022ce0370e1f0b3f21beef6532b15aaa6f7726d8750a8f229c9421321c","observation_id":"c8e75389-c12e-4971-a2b3-1640a1b919d8","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Garzelli, F","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:6f80fd3c132dcdaa6951bb879a8ee6033bec04f570dd7d65d66e0a559216a694","observation_id":"1cf43cf7-ac93-434e-ad2c-d15831e6b1e4","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Otazu, M","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:6c6496ba19aca8a5b37303b8baf5faeaf735d2c5562202ecc45a0235a0d760b3","observation_id":"358193b4-267c-4279-8bc8-7126401df728","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Palsson, J","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:4a76c461b521807d98f461c6d6582d3f65ba311606fbc5fabf92bdfae66a8393","observation_id":"92ad5c8b-841f-42b4-ba37-c1b8b272cb92","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","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":"2026-06-27T01:25:47.283903Z","title":"Jin, T.-J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-27T01:25:47.283903Z"},"links":{"citing_paper":"/paper/2606.17722"},"observation_digest":"sha256:26210aa2e5163f5de0906cf9142184412db02fa5a92ea15948b9a5cf66b99111","observation_id":"acd109e8-c878-49c5-8a89-3ea3fe50c6f1","resolution":{"observed_at":"2026-06-27T01:25:47.283903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.17722","last_updated":"2026-06-16T09:36:36Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T22:07:17.348247Z","submitted_at":"2026-06-16T09:36:36Z","title":"GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":47,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":49},"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 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2606.17722."}