{"as_of":"2026-08-08T09:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f9990a54777ba2039410cad14af1acba2454c02e5811a2857045355ff756dfd8","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:23:29.435440Z","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":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"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":{"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":"2026-08-07T04:17:09.704019Z","title":"SpectralEarth: Training hyperspectral foundation models at scale,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11314","last_updated":"2025-06-12T21:29:20Z","snapshot_observed_at":"2026-08-07T04:08:58.762165Z","submitted_at":"2025-06-12T21:29:20Z","title":"HyBiomass: Global Hyperspectral Imagery Benchmark Dataset for Evaluating Geospatial Foundation Models in Forest Aboveground Biomass Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:17:09.704019Z"},"links":{"cited_paper":"/paper/2408.08447","citing_paper":"/paper/2506.11314"},"observation_digest":"sha256:fa046bffc4d01c11cebeed0d06296417f140962fb5e57b09cfd5e23399ed3718","observation_id":"9bcf9b55-5e36-4ae8-9005-10052038ce6d","resolution":{"observed_at":"2026-08-07T04:17:09.704019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2408.08447","doi":"10.48550/arxiv.2408.08447","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08447","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spectralearth: Training hyperspectral foundation models at scale.arXiv preprint arXiv:2408.08447","venue":"arXiv (Cornell University)","work_id":"cc9f19c6-f52e-433f-9cf6-2f1dd31600fa","year":2024},"citing_paper":{"arxiv_id":"2604.02719","last_updated":"2026-04-03T04:22:30Z","snapshot_observed_at":"2026-07-06T22:52:02.162758Z","submitted_at":"2026-04-03T04:22:30Z","title":"MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T20:47:51.509798Z"},"links":{"cited_paper":"/paper/2408.08447","citing_paper":"/paper/2604.02719"},"observation_digest":"sha256:756b38e78b18c3eea0ab408a961b814db326a725d5c750db989c9b318881ecf3","observation_id":"cb79c48d-1fda-40a2-ac69-b88451d5a22a","resolution":{"observed_at":"2026-05-13T20:48:15.082142Z","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"}},{"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":"2408.08447","doi":"10.48550/arxiv.2408.08447","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08447","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spectralearth: Training hyperspectral foundation models at scale.arXiv preprint arXiv:2408.08447","venue":"arXiv (Cornell University)","work_id":"cc9f19c6-f52e-433f-9cf6-2f1dd31600fa","year":2024},"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":2,"source":"pdf_text","source_observed_at":"2026-05-07T11:18:21.040044Z"},"links":{"cited_paper":"/paper/2408.08447","citing_paper":"/paper/2604.26478"},"observation_digest":"sha256:570522e1f238e582171c887b8c3b7bdc9be7a9d4f88cbdf7e6c7558a5d07cf71","observation_id":"3460cf45-5f60-45d7-bc96-e50e8773eb13","resolution":{"observed_at":"2026-05-09T03:55:09.031043Z","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"}},{"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":"2408.08447","doi":"10.48550/arxiv.2408.08447","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08447","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spectralearth: Training hyperspectral foundation models at scale.arXiv preprint arXiv:2408.08447","venue":"arXiv (Cornell University)","work_id":"cc9f19c6-f52e-433f-9cf6-2f1dd31600fa","year":2024},"citing_paper":{"arxiv_id":"2605.18541","last_updated":"2026-05-18T15:22:26Z","snapshot_observed_at":"2026-08-02T14:46:31.423931Z","submitted_at":"2026-05-18T15:22:26Z","title":"LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T11:16:01.428052Z"},"links":{"cited_paper":"/paper/2408.08447","citing_paper":"/paper/2605.18541"},"observation_digest":"sha256:a53bb5dde5aa563aaa723451d8c920bc3fc04c10f045aadbbe53c083b35cb37e","observation_id":"5e2a8f07-308e-44b8-a1ff-4b5f718bf9de","resolution":{"observed_at":"2026-05-20T11:18:13.741432Z","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"}},{"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":"2408.08447","doi":"10.48550/arxiv.2408.08447","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08447","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spectralearth: Training hyperspectral foundation models at scale.arXiv preprint arXiv:2408.08447","venue":"arXiv (Cornell University)","work_id":"cc9f19c6-f52e-433f-9cf6-2f1dd31600fa","year":2024},"citing_paper":{"arxiv_id":"2606.23503","last_updated":"2026-06-22T15:49:45Z","snapshot_observed_at":"2026-08-07T13:19:32.436528Z","submitted_at":"2026-06-22T15:49:45Z","title":"UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-26T08:50:49.531565Z"},"links":{"cited_paper":"/paper/2408.08447","citing_paper":"/paper/2606.23503"},"observation_digest":"sha256:a18b48c099c4799d60fbf4f799946a81dc6b849dd8c50bb6ce4ab02a0bf37db1","observation_id":"468a7da2-2a3f-4071-98be-9a599eefd092","resolution":{"observed_at":"2026-07-04T10:29:44.842208Z","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/2408.08447/citation-record","integrity":"/paper/2408.08447/integrity","json":"/paper/2408.08447/citation-record.json","paper":"/paper/2408.08447"},"outbound":[],"paper":{"arxiv_id":"2408.08447","last_updated":"2025-08-13T11:03:14Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:01:19.478722Z","submitted_at":"2024-08-15T22:55:59Z","title":"SpectralEarth: Training Hyperspectral Foundation Models at Scale"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+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 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.08447."}