{"as_of":"2026-08-08T12:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d373605b168560e6b3665781f05e1690097e415b883253c3f839e859dd9b25a2","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:23:32.275690Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-07T11:18:21.040044Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"cited_work":{"arxiv_id":"2505.15334","doi":"10.48550/arxiv.2505.15334","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.15334","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Parameter-Eﬃcient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classiﬁcation","venue":"ArXiv.org","work_id":"fef59515-62ca-4d6f-b93d-22cd7bb54d82","year":2025},"citing_paper":{"arxiv_id":"2604.26478","last_updated":"2026-04-29T09:43:52Z","snapshot_observed_at":"2026-08-01T00:43:16.797894Z","submitted_at":"2026-04-29T09:43:52Z","title":"Cross-Domain Transfer of Hyperspectral Foundation Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-07T11:18:21.040044Z"},"links":{"cited_paper":"/paper/2505.15334","citing_paper":"/paper/2604.26478"},"observation_digest":"sha256:93042e7a7a80a84df44bf16a7993472ce04050a07e9a59b1380c3d8b6003453c","observation_id":"71e46b6c-ef55-4cad-a6fe-7c0e90ae00a6","resolution":{"observed_at":"2026-05-09T03:55:09.103816Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.15334/citation-record","integrity":"/paper/2505.15334/integrity","json":"/paper/2505.15334/citation-record.json","paper":"/paper/2505.15334"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:40.294796Z","title":"Goldberg, and S","venue":null,"work_id":"87963c67-7fbc-405f-a330-d8adb5ca1a8a","year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.400290Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:8c3b30b232eb73fd8562bdbb4e5271f4068547f42a4c08bfc2aafa87168aec42","observation_id":"ca117b9d-b15c-447e-aecd-f88bf18fe640","resolution":{"observed_at":"2026-08-07T15:23:40.349350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08447","last_updated":"2025-08-13T11:03:14Z","snapshot_observed_at":"2026-07-06T19:01:19.478722Z","submitted_at":"2024-08-15T22:55:59Z","title":"SpectralEarth: Training Hyperspectral Foundation Models at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08447","snapshot_observed_at":"2026-08-07T15:23:29.435440Z","title":"Albrecht, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.435440Z"},"links":{"cited_paper":"/paper/2408.08447","citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:0423748ca4d0648da9e1b63e19548b4d539560ef362eb3d624b252e9df760be1","observation_id":"aa10b200-8b9b-4fd3-8f33-ebc592e1b2cb","resolution":{"observed_at":"2026-08-07T15:23:29.435440Z","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":"2026-08-07T15:23:40.203148Z","title":"Fendley, J","venue":null,"work_id":"1f38ac9f-7e99-42c6-819e-bc8c08b0cdb0","year":2018},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.488470Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:e4b2d454cce8781c7fedbdcab1dafffd1625893d0771651826e99fe60752415c","observation_id":"e756c7b8-41ff-4df7-9f3e-b20a60c54e0f","resolution":{"observed_at":"2026-08-07T15:23:40.251038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:40.096561Z","title":"Khanna, C","venue":null,"work_id":"3f26bdc1-ae80-4900-b0f2-61671eb43329","year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.570061Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:db668197d9bc5123a567f9b2e4e064029b0a78cec203e37c0f0eb2cff1985737","observation_id":"ebceb591-d4e5-40fb-bb2b-ce4420708cb3","resolution":{"observed_at":"2026-08-07T15:23:40.149449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:39.917749Z","title":"Chang, K","venue":null,"work_id":"9b01c82f-191c-4fae-af0b-2962e529f086","year":2019},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.655082Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:7220e577367d495f677d5b8e540a1267fd219b1ec0f929a796d2058615b6fc22","observation_id":"0d0a014a-0338-4984-a33f-aabcf78481c5","resolution":{"observed_at":"2026-08-07T15:23:40.009724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10650","last_updated":"2022-12-20T20:56:52Z","snapshot_observed_at":"2026-08-03T01:40:26.342026Z","submitted_at":"2022-12-20T20:56:52Z","title":"KronA: Parameter Efficient Tuning with Kronecker Adapter","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10650","snapshot_observed_at":"2026-08-07T15:23:29.755129Z","title":"Tahaei, I","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.755129Z"},"links":{"cited_paper":"/paper/2212.10650","citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:efe1108cd046ce657d749d2f784ccdbfd1620793a02446e4cbb0ad21802c4e71","observation_id":"91fa4d95-0a7c-4932-910d-259ecd17a687","resolution":{"observed_at":"2026-08-07T15:23:29.755129Z","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":"10.1016/s0034-4257(98)00064-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:32.485960Z","title":"Eastwood, C.M","venue":null,"work_id":"c1c41663-ceda-4f55-934a-3123c7204026","year":1998},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.808025Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:7b4b14629aa4159c2f35d437e42a2ff67334f746dd7e6a6ced26eb5d3f50d8be","observation_id":"2834c62b-2e55-4c6f-a8e6-af4a8c168835","resolution":{"observed_at":"2026-08-07T15:23:32.580052Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:39.780194Z","title":"Goel, and C","venue":null,"work_id":"7b48b6ab-b820-478a-887e-6196a9cfc5b7","year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.885323Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:34ac7e2b2512b00ef0f8d67db2e17892faa188cda772db1d42109531ee3c7f5b","observation_id":"60e304aa-024f-4676-8e91-a10dc9cc561a","resolution":{"observed_at":"2026-08-07T15:23:39.866783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:39.574250Z","title":null,"venue":null,"work_id":"cd8eab60-5574-4fa9-ae19-4e7149f76a99","year":2023},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:29.993409Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:9fa6d2b0b9eb05b0831d6327d30ea61e1a9a80ea45968f2a0016a0c376f72922","observation_id":"0d162f80-d60d-49aa-9e81-cbfdf62d16de","resolution":{"observed_at":"2026-08-07T15:23:39.687731Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/03081088308817548","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:32.335026Z","title":"Henderson, F.P","venue":null,"work_id":"ea65b225-0794-4db7-911c-5bd2a21a035a","year":1983},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.158271Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:48a8a27488f4df7bda67457014ac41c6d25c301b79f934197c5e84d1c230dc6b","observation_id":"a82b2869-c047-4ace-aa21-db1eb32054bf","resolution":{"observed_at":"2026-08-07T15:23:32.386619Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:39.413615Z","title":"Ghosh, and B","venue":null,"work_id":"6e0dee05-1b0d-4064-86db-090c817424e3","year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.284943Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:46600e9f38295aa0a856551dcefda8f76cb1aa01362bf8947c955a1092c320a9","observation_id":"1235f092-3674-4685-bba3-8dbbe6d7e23e","resolution":{"observed_at":"2026-08-07T15:23:39.467140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:39.202066Z","title":null,"venue":null,"work_id":"88db8551-0757-4611-90fc-61280eff19eb","year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.483777Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:60866b9eec30bd461b49884712119aebdd3b4749e110bd4442bd74c51d012b6b","observation_id":"19ef4a98-9389-4433-afa8-c65248d9fe96","resolution":{"observed_at":"2026-08-07T15:23:39.315610Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:39.035944Z","title":null,"venue":null,"work_id":"562ff2bc-3e79-4980-8712-98ee43cbd72c","year":2018},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.605684Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:0bd86bd040dc97b401ee93cb6b812a80f4d0bd0fd9ee74c522dc637fed0a71fe","observation_id":"57a8bdce-7f4a-4573-a868-942fee6b7fde","resolution":{"observed_at":"2026-08-07T15:23:39.114627Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:30.687670Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.687670Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:8482d94f4a89f87dce2d82caa4e285387877cdaab56ef5dd23e174f805b20719","observation_id":"54e1a58e-54c6-4cbf-a645-bd03116b9818","resolution":{"observed_at":"2026-08-07T15:23:30.687670Z","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":"2026-08-07T15:23:38.789701Z","title":"Zhang, X","venue":null,"work_id":"d4c80acb-918d-4b6b-b0af-a0f0aa642b6c","year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.753912Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:2180cfe37ddc73e71b72cac795e8e43b235cd67ff80a82832bce54011e763ea0","observation_id":"f4ac06ba-eb4e-46f2-9bf0-5d9369ecbf31","resolution":{"observed_at":"2026-08-07T15:23:38.928173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:38.485641Z","title":"Giurgiu, S","venue":null,"work_id":"9c9f110a-d694-4014-a577-925b05d945a1","year":2019},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.811989Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:9600f28082c1025e7d0e6c67a7bb1c8341a6072aec64a73cb36d5e3acb4dbcd9","observation_id":"2800d9e2-ab6c-4abc-82e9-98857e5031b5","resolution":{"observed_at":"2026-08-07T15:23:38.644607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:38.163438Z","title":"Wallis, Z","venue":null,"work_id":"ec76a0c6-58bb-4fb9-acf8-0570a6b6e6a7","year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.906595Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:bea4bd5be44308da0cfa3b0babc14fa0bafc5e03cab892438799956f05202810","observation_id":"10fccc32-97c5-4ab0-af18-783fa2b4cded","resolution":{"observed_at":"2026-08-07T15:23:38.311963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:37.861958Z","title":null,"venue":null,"work_id":"c5c67b1e-72af-4b73-9881-17e5829e31a0","year":2009},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:30.960795Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:da84816586d83cca2894ecfe9e87d6e72ffda8c4a4c2fc141b03ae43a02b2e50","observation_id":"5216ead7-e8c4-4c26-ac30-98a76f92fbdd","resolution":{"observed_at":"2026-08-07T15:23:37.996334Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18660","last_updated":"2023-11-08T18:25:24Z","snapshot_observed_at":"2026-07-06T16:39:52.551576Z","submitted_at":"2023-10-28T10:19:55Z","title":"Foundation Models for Generalist Geospatial Artificial Intelligence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18660","snapshot_observed_at":"2026-08-07T15:23:31.066149Z","title":"Roy, C.E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.066149Z"},"links":{"cited_paper":"/paper/2310.18660","citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:ac55c2678be6b87774aeca2997d6d905f8b285e31082731128e275a8e7681fe3","observation_id":"6b6a96c9-2bf0-469c-be63-d1f17b0a286b","resolution":{"observed_at":"2026-08-07T15:23:31.066149Z","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":"2026-08-07T15:23:37.557847Z","title":"Tang, B.C","venue":null,"work_id":"b5c4a3b9-46f2-4e26-89f3-a81632f0b841","year":2022},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.149475Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:4a952c24100b1417b591436d41cffc1d919a4194b4705389806459f7fa437efa","observation_id":"12b2df3a-e38f-48fe-9446-cb4adff0ddb1","resolution":{"observed_at":"2026-08-07T15:23:37.727935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:37.161100Z","title":"Mintun, N","venue":null,"work_id":"664d13ea-d648-4b64-80ff-cdfdd51980fe","year":2023},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.221706Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:4e4e8839df7908d42a41bc346cb1d421282e8ef04c6b5228c76ecf46746428c3","observation_id":"c6a36c48-4a5d-413a-87a3-cab25e7b0f60","resolution":{"observed_at":"2026-08-07T15:23:37.376464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:36.887652Z","title":null,"venue":null,"work_id":"dd4f245f-5dd7-4c75-93bf-3ac4baeca1b6","year":2016},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.256468Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:3c1f79909fe1149d9f9e3213f0f58e989beec2413129d9dde2e5f578d5d34ca7","observation_id":"23020f1d-0eb3-4bb4-8f80-0244664cdeaa","resolution":{"observed_at":"2026-08-07T15:23:37.039102Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:36.616939Z","title":null,"venue":null,"work_id":"49283702-3167-41f1-9506-c79444b183d2","year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.303327Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:aaa114751648ecb6e3d94b277c796207082011b724f4181a718fcd353047155a","observation_id":"390b953c-913a-4ba4-8087-460ed6005c10","resolution":{"observed_at":"2026-08-07T15:23:36.729518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:36.216933Z","title":null,"venue":null,"work_id":"506bfd8d-6f14-43cf-840e-f19543e03e3f","year":2019},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.345190Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:7c0396aec5552f440aa831957f388068cdaa881928014ab79ce7f8639138a918","observation_id":"8dc291a4-6367-4970-a6d8-0814a6ac3a7c","resolution":{"observed_at":"2026-08-07T15:23:36.384057Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:35.908946Z","title":"Guo, J.R","venue":null,"work_id":"44000503-ebbc-42d1-aadb-6bf9c8767da9","year":2025},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.388916Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:a0f008c5991367d6bbf8490d4aaa5af65f64b558410c05e97aa4332ea8ccbd89","observation_id":"8320a1b9-6c4d-4c1a-a936-00bf83dc0658","resolution":{"observed_at":"2026-08-07T15:23:36.039225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04204","last_updated":"2025-04-30T08:17:21Z","snapshot_observed_at":"2026-08-06T22:38:51.275010Z","submitted_at":"2024-12-05T14:40:41Z","title":"PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04204","snapshot_observed_at":"2026-08-07T15:23:31.444371Z","title":"Jia, G.L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.444371Z"},"links":{"cited_paper":"/paper/2412.04204","citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:fff9f63a3ea005c588fd61331c125df0da9688235f46d0eeb35d585a8af59645","observation_id":"45804f5e-ed08-43fc-9d82-0f5ab7ad8ce6","resolution":{"observed_at":"2026-08-07T15:23:31.444371Z","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":"2026-08-07T15:23:31.504207Z","title":"Blilie, X","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.504207Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:eb18406e8eb4860b1bcd182c6c26c2701522853c2ecc53d441475d61e82e2dfa","observation_id":"523c038a-23ed-4f53-84c3-eec8fe7a4a67","resolution":{"observed_at":"2026-08-07T15:23:31.504207Z","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":"2026-08-07T15:23:35.583812Z","title":"Naseer, H","venue":null,"work_id":"b8940613-650c-4b63-9c3a-0d4ca87b3581","year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.568043Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:0a67b5899a8159483a075adf8775bf3254bc8c843e281cf8a451d2ea9c33c27f","observation_id":"be551ea4-e35b-4f8c-8c45-52e0de8eb34a","resolution":{"observed_at":"2026-08-07T15:23:35.764369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:35.289349Z","title":null,"venue":null,"work_id":"c82c619d-c55b-4ab8-b8a7-ba38d1a2f746","year":2020},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.636486Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:81394ef632a3a435c98ee583d8371e475e72b8eb85c6736c17de6ec5cec4787a","observation_id":"db9456ad-1d8c-47a9-84b0-9ceaa846573f","resolution":{"observed_at":"2026-08-07T15:23:35.412186Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:34.975149Z","title":null,"venue":null,"work_id":"1469cec1-30c5-4a09-ab52-a75ea77659b9","year":2021},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.688489Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:4605d9120197e31f3c9bcc9b0a51827b5cf39b87ecf535dac5b89fe9f21510f4","observation_id":"bb9256c0-6a35-4ce6-9402-6ce6615a61a3","resolution":{"observed_at":"2026-08-07T15:23:35.120682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:34.654844Z","title":"Narasimhan, T","venue":null,"work_id":"668253e6-2fa0-4ab1-aba9-b568a41ad1a6","year":2018},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.750239Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:2ef2707491e11a81c7336d39dabf648eedf4b6355272c0f23d4541b4249e4368","observation_id":"c76c2323-403a-4017-a0c4-024b6cb78bd8","resolution":{"observed_at":"2026-08-07T15:23:34.836984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:34.373293Z","title":"Mommert, and D","venue":null,"work_id":"2ccecfa3-118a-4b06-afc1-f3cef38eb19e","year":2023},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.802335Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:e7459f20e08dfe562e0d3475a53b76528129de72216d4a3c4e139dcd4871aefb","observation_id":"8c605b93-30c0-4447-8411-2a65bdbb8388","resolution":{"observed_at":"2026-08-07T15:23:34.529913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:34.111469Z","title":"Charfuelan, B","venue":null,"work_id":"8afe4e85-824d-4954-b86f-ed2079cd33e9","year":2019},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.853206Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:b414fe8a035fca53f345ac10725ac326b93d6753cb91c990d465745e41cda1f9","observation_id":"91ccfb39-3322-4fe2-a5d7-1778c44a51bf","resolution":{"observed_at":"2026-08-07T15:23:34.221974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:33.882194Z","title":"Shazeer, N","venue":null,"work_id":"d547ea82-c5cf-49f9-832a-fbecfeb58671","year":2017},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.908010Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:43fb29917d3f7b720cd0d422f812eb852b5ffc54ad0d39d3dc14f05c7a4e5f5b","observation_id":"26b0285e-4f03-4855-a46e-5ffa991d7513","resolution":{"observed_at":"2026-08-07T15:23:33.991076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11519","last_updated":"2025-04-01T15:14:22Z","snapshot_observed_at":"2026-08-06T14:39:53.951215Z","submitted_at":"2024-06-17T13:22:58Z","title":"HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11519","snapshot_observed_at":"2026-08-07T15:23:31.943754Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.943754Z"},"links":{"cited_paper":"/paper/2406.11519","citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:4c1570ffde5cef414d82b2f07b38c9f03cad2eb73ef43fc7d4e76477534fa6f2","observation_id":"5a652cf1-9095-419b-806e-52a49c0b16a2","resolution":{"observed_at":"2026-08-07T15:23:31.943754Z","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":"2026-08-07T15:23:31.987887Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:31.987887Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:95bef1153aa377fbc29e4ff1bcdfb99f1c5f884dd11e082b95c09b09de9c0cde","observation_id":"accf02bb-6236-437e-a73c-29d4942adab7","resolution":{"observed_at":"2026-08-07T15:23:31.987887Z","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":"2026-08-07T15:23:33.616247Z","title":null,"venue":null,"work_id":"f5123b57-70ee-4ff3-a05b-9ca863015cb5","year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:32.041987Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:f9a642a9009a7b7cb7d85c88db6eddb50f6b0f063c921e24a9a8a5135f3f363a","observation_id":"f0cd6730-69c5-4f7e-a8cc-f42a0bcc30d4","resolution":{"observed_at":"2026-08-07T15:23:33.739428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:33.271910Z","title":"Hsieh, Z","venue":null,"work_id":"7de62f44-3c14-473d-ba08-fdcd4deab56f","year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:32.139773Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:e838532ba7f311bcb90e5e6f100c4bb46ad5b4eed042189ef9a8e975591a9e47","observation_id":"0ce894dd-db1d-4319-8be1-5f32052d24e9","resolution":{"observed_at":"2026-08-07T15:23:33.386954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:32.199710Z","title":"Zhou, and Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:32.199710Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:65a15bc4ab14f23f3d610984ce1976ed7c18c66441a207b61b0a144f3cfb721c","observation_id":"943357c8-d773-4c6d-8a32-7c05c8111221","resolution":{"observed_at":"2026-08-07T15:23:32.199710Z","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":"2026-08-07T15:23:32.998972Z","title":null,"venue":null,"work_id":"d73d43ff-b9e3-4290-8328-41d83b1a6ec9","year":2020},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:32.239834Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:6d9d7567ff7fdb33ca10b8a3ecf2884505478f0c6ea832cdd3fa65b62f151984","observation_id":"faaf21d4-dc9a-4e12-9954-d332412c2c37","resolution":{"observed_at":"2026-08-07T15:23:33.132281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:23:32.275690Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:32.275690Z"},"links":{"citing_paper":"/paper/2505.15334"},"observation_digest":"sha256:aab5852c4df74db8a5e37297c743a2b3b2630bb71e72388ffd625a322e8e1baa","observation_id":"06434172-017a-47d0-a79d-b68aae7d3f97","resolution":{"observed_at":"2026-08-07T15:23:32.275690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.15334","last_updated":"2025-05-21T10:05:33Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T15:17:32.490439Z","submitted_at":"2025-05-21T10:05:33Z","title":"Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":2,"verified_fuzzy":18},"total_outbound_references":41},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.15334."}