{"as_of":"2026-08-08T20:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:000d53e63fc1f495596a65ae1dfc794eb97262b59a1e43fb7417b3328664b5df","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T13:24:08.474465Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2512.24463/citation-record","integrity":"/paper/2512.24463/integrity","json":"/paper/2512.24463/citation-record.json","paper":"/paper/2512.24463"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T13:24:03.398573Z","title":"The at- mospheric imaging assembly (aia) on the solar dynamics observatory (sdo),","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:03.398573Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:c9331987432f06fe9ad353372fc71105808fdb2d637a61e85544516d387830eb","observation_id":"3dd858f0-ebf0-4dff-8103-daf9d279d75f","resolution":{"observed_at":"2026-08-03T13:24:03.398573Z","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":"2026-08-03T13:24:03.513516Z","title":"The JPEG still picture compression standard,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:03.513516Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:bc7b9cdc4dc9049fce1d9991767a3f4310f695f928fe7c0aaac35db41268d59c","observation_id":"3f2c0136-c08e-4c58-9a12-9d1df397d0c6","resolution":{"observed_at":"2026-08-03T13:24:03.513516Z","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":"2026-08-03T13:24:03.627169Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:03.627169Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:d7d7882fe893ee77edbe635b6fb6fc432fc31719262411d707066b2207900087","observation_id":"0ee3064c-b8c1-4a2e-9f11-291ee1d44c2d","resolution":{"observed_at":"2026-08-03T13:24:03.627169Z","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":"2026-08-03T13:24:03.743468Z","title":"End-to-end optimization of nonlinear transform codes for perceptual quality,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:03.743468Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:b0632f3debd10907ceb954aba881948d8cbfc08576a32d53bc23eb14861f48f6","observation_id":"5248c223-1eb3-4670-97e4-17c52f0520f6","resolution":{"observed_at":"2026-08-03T13:24:03.743468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.01436","last_updated":"2018-05-01T05:30:29Z","snapshot_observed_at":"2026-08-02T09:34:56.255411Z","submitted_at":"2018-02-01T00:42:29Z","title":"Variational image compression with a scale hyperprior","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.01436","snapshot_observed_at":"2026-08-03T13:24:03.921996Z","title":"Variational image compression with a scale hyperprior,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:03.921996Z"},"links":{"cited_paper":"/paper/1802.01436","citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:d6a941582f61ade91797b956499673c58bfb310d29637e6fd4a3651f3f5b7375","observation_id":"9074d3c9-3369-4f17-883d-dfc89a07bcbf","resolution":{"observed_at":"2026-08-03T13:24:03.921996Z","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":"2026-08-03T13:24:04.091560Z","title":"Joint autore- gressive and hierarchical priors for learned image com- pression,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:04.091560Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:85860c537f759cd3c88087e479a6ef7444bb315043d79dde90dbf19af5bda3a8","observation_id":"59b9372e-5b27-4d71-98cb-2cee4baea8ee","resolution":{"observed_at":"2026-08-03T13:24:04.091560Z","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":"2026-08-03T13:24:04.269373Z","title":"Learned image compression with discretized gaussian mixture likelihoods and attention modules,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:04.269373Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:66eccac7cb5358bdcc35ae96de2ef74f9da81182ceffd1e0a1913b342823f7f7","observation_id":"87b3f042-a95d-45ed-aa8d-645246c18cad","resolution":{"observed_at":"2026-08-03T13:24:04.269373Z","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":"2026-08-03T13:24:04.451240Z","title":"The devil is in the de- tails: Window-based attention for image compression,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:04.451240Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:c44e9bc74a62ff4e75d52c0f2f3941f22245ebeee1d18732da270aa20511f31a","observation_id":"79801065-0b8f-469a-b696-3ffb2efd845e","resolution":{"observed_at":"2026-08-03T13:24:04.451240Z","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":"2026-08-03T13:24:04.584393Z","title":"Tang and W","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:04.584393Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:2f539da0d53d81a43995ab96bb68032b0fea0372e25518bf39f3cd996e01b06a","observation_id":"2078889b-2e42-4c82-a6bc-9aa962921e96","resolution":{"observed_at":"2026-08-03T13:24:04.584393Z","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":"2026-08-03T13:24:04.735650Z","title":"Com- pression of multispectral images by three-dimensional SPIHT algorithm,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:04.735650Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:272a0538b7b36ee18420666380f1bfbdc910ebc13c984014d5e1189271f5e214","observation_id":"5c0fa47b-4b35-43e4-9a4a-bb4414638b07","resolution":{"observed_at":"2026-08-03T13:24:04.735650Z","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":"2026-08-03T13:24:04.920661Z","title":"Learning-based hyper- spectral imagery compression through generative neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:04.920661Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:50d5bb4f379288e2c60467bb56252288bf0942497347dd1c55925464e3d5d1e4","observation_id":"c6bd3d43-824d-4b08-93c4-460d07a9868d","resolution":{"observed_at":"2026-08-03T13:24:04.920661Z","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":"2026-08-03T13:24:05.073120Z","title":"Learned image compression with mixed transformer-CNN architectures,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:05.073120Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:e9fc2f14d85240323b62078380c964ebf303b85a57d88d4c848ec1e35c72bb17","observation_id":"bbaefd23-36a8-4549-9e68-86697991cbf2","resolution":{"observed_at":"2026-08-03T13:24:05.073120Z","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":"2026-08-03T13:24:05.223126Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:05.223126Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:7051fa154534c35f5213b2b5c46f167d7cca39e2675c91c12cbc19b924576a9d","observation_id":"cd1bb248-082f-4ebd-a415-684502bfbeb5","resolution":{"observed_at":"2026-08-03T13:24:05.223126Z","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":"2026-08-03T13:24:05.341522Z","title":"An introduction to neural data compression,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:05.341522Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:aa71e5e8f62f15dac455d58d6b011417c78b3a89e36a753b7de57b78617f0ff2","observation_id":"9b92bda2-1f2e-4090-bdff-269f1a7f75e2","resolution":{"observed_at":"2026-08-03T13:24:05.341522Z","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":"2026-08-03T13:24:05.460496Z","title":"Involution: Inverting the inherence of convolution for visual recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:05.460496Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:493b1b7ee6ca6fe477f2adedcd7b1908d03c5419ca63839e9b8d3561d0b361e7","observation_id":"9e719416-12d9-4c15-850f-596e85b807ab","resolution":{"observed_at":"2026-08-03T13:24:05.460496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-03T13:24:05.587564Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:05.587564Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:fd1ad2146bdd65c1204d94ac40268e55b7335d01e42097ab5c42e4d515590854","observation_id":"80879367-dc87-47d7-9cf3-d484c6dfa899","resolution":{"observed_at":"2026-08-03T13:24:05.587564Z","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":"2026-08-03T13:24:05.739280Z","title":"Transformer-based transform coding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:05.739280Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:75ee307eaa6c9fbdd5545a2a33ebb1baaaa52a56bd5917fc486c050ad9aa9ea3","observation_id":"3b84916c-7cff-42bb-a245-b3423f3d8b49","resolution":{"observed_at":"2026-08-03T13:24:05.739280Z","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":"2026-08-03T13:24:05.886611Z","title":"Towards end-to-end image compression and analysis with transformers,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:05.886611Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:267879e916baac0c28b41e0d80f635a5f720135c74d65e582add67ca6d4ac039","observation_id":"7ca1d55b-eba5-43b6-96a3-8d521a16ebab","resolution":{"observed_at":"2026-08-03T13:24:05.886611Z","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":"2026-08-03T13:24:06.010858Z","title":"Learned image compression with mixed transformer-cnn architectures,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.010858Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:dd6da2cb8d315415a23eb4b0c1ffbce373437e50f5d43dd7a291b4e516317c54","observation_id":"df6f2a82-7cf9-4841-9748-39775f2b0845","resolution":{"observed_at":"2026-08-03T13:24:06.010858Z","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":"2026-08-03T13:24:06.163857Z","title":"Graph neural networks: A review of methods and applications,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.163857Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:0d1e07e379e40b145b42477922a45daf8eef2e6d2c6f49ecd7030f6af870eed5","observation_id":"d163f255-3f8a-4a64-8562-d71e845b6505","resolution":{"observed_at":"2026-08-03T13:24:06.163857Z","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":"2026-08-03T13:24:06.254147Z","title":"Vision gnn: An image is worth graph of nodes,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.254147Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:52f4a9e5ff5147853a7bbe1d91ebc0d4e5cbdf3d5165b0277fb58cdee42ce2b6","observation_id":"dd459c17-6a5f-46b4-b16c-34b03967af1c","resolution":{"observed_at":"2026-08-03T13:24:06.254147Z","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":"2026-08-03T13:24:06.436251Z","title":"GABIC: Graph-based attention block for image compression,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.436251Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:9e549f81f8c8b21454a7b896e94864e62dc63d2f609c64dcba9d44e7de83f1b7","observation_id":"334cfcff-8064-4cab-b017-bcd8f4836216","resolution":{"observed_at":"2026-08-03T13:24:06.436251Z","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":"2026-08-03T13:24:06.603988Z","title":"Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.603988Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:7bfa6bd2e642ee1ecb4495d2776150d9f04bf321dbacceca4b471b57972f99e4","observation_id":"a6692da1-9588-4a82-b6ba-6eb0e3b2c67a","resolution":{"observed_at":"2026-08-03T13:24:06.603988Z","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":"2026-08-03T13:24:06.689466Z","title":"Mlic: Multi-reference entropy model for learned image compression,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.689466Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:c79041452498138af6a9e3709322571eb6e4b0debde1c9b34370915f5a970064","observation_id":"cd0ce058-e795-4615-937f-f3647f4cfe58","resolution":{"observed_at":"2026-08-03T13:24:06.689466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.05492","last_updated":"2022-03-14T08:20:55Z","snapshot_observed_at":"2026-08-01T13:55:27.734375Z","submitted_at":"2022-02-11T08:03:31Z","title":"Entroformer: A Transformer-based Entropy Model for Learned Image Compression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.05492","snapshot_observed_at":"2026-08-03T13:24:06.775293Z","title":"Entro- former: A transformer-based entropy model for learned image compression,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.775293Z"},"links":{"cited_paper":"/paper/2202.05492","citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:5f13f371df12daa292378bbdb340c732a022213be8e80bd5cf0c1ffa5cd3d400","observation_id":"5740f4dd-3cc3-4017-97dd-b6e09793890e","resolution":{"observed_at":"2026-08-03T13:24:06.775293Z","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":"2026-08-03T13:24:06.836129Z","title":"A spectral-spatial feature extraction method with polydirec- tional cnn for multispectral image compression,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.836129Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:fcb8eab6eac7aeefe360227f8e834c64b5f6a28a9728c43cf978290691dbd882","observation_id":"b147a6b1-3163-4491-818e-083e89ef3654","resolution":{"observed_at":"2026-08-03T13:24:06.836129Z","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":"2026-08-03T13:24:06.923556Z","title":"Multi-scale spatial-spectral attention network for multispectral image compression based on variational autoencoder,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:06.923556Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:91f984d2ef4d57697ff46aa9ae20384cef052cab93cc81a3d50d18814c43fd3f","observation_id":"b46882fb-b05d-425e-ba62-6503da0fecd5","resolution":{"observed_at":"2026-08-03T13:24:06.923556Z","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":"2026-08-03T13:24:07.006203Z","title":"The solar dynamics observatory (SDO),","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.006203Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:05510be7256b706e20680fbce23237ae5eb2f3fd7525746fce7754b8d5aede8a","observation_id":"72fe7df7-b833-4075-bc0a-50697aa42f98","resolution":{"observed_at":"2026-08-03T13:24:07.006203Z","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":"2026-08-03T13:24:07.122410Z","title":"A machine-learning data set prepared from the NASA solar dynamics observatory mission,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.122410Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:d03f96488aa2700260a12d8000f71f4c4a92f2ff4c5a9318686a8d1fa26723b7","observation_id":"ddce32f3-1c99-4e2a-93f0-f9ed89db4fcb","resolution":{"observed_at":"2026-08-03T13:24:07.122410Z","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":"2026-08-03T13:24:07.256179Z","title":"Attention-based machine vision models and techniques for solar wind speed forecasting using solar euv images,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.256179Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:33a841694253d66749838bccd47e7869a4d07c550613bc2b0776dd10428df9e5","observation_id":"95e5bd87-d2e6-40bb-9ff8-15a28d666482","resolution":{"observed_at":"2026-08-03T13:24:07.256179Z","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":"2026-08-03T13:24:07.410435Z","title":"Attention- based deep learning model for image desaturation of sdo/aia,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.410435Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:81d09aa0b93e28d80cb2ee248facb2553510cbf374a40afb7364c4035fc69d6f","observation_id":"00418123-8b4a-4e8a-b16f-eca0b9a962d6","resolution":{"observed_at":"2026-08-03T13:24:07.410435Z","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":"2026-08-03T13:24:07.537724Z","title":"An experimental study on euv-to-magnetogram image translation using conditional generative adversarial networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.537724Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:6aa6498f53d274b9a1c8e19897b81b57f6adccd29a0b283000ddc923980a4924","observation_id":"99dc2799-f63d-4352-9843-5c3e3dc87817","resolution":{"observed_at":"2026-08-03T13:24:07.537724Z","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":"2026-08-03T13:24:07.667575Z","title":"JPEG2000 image compression on solar EUV images,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.667575Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:a90f6b57b6f0f9323a4c8d8d85f27d0ccaa0d165d1c1f0b6a1764b68d13bb93e","observation_id":"ef66d302-cc7e-4f09-89a4-b7bd372f7584","resolution":{"observed_at":"2026-08-03T13:24:07.667575Z","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":"2026-08-03T13:24:07.772805Z","title":"Neural-based compression scheme for solar image data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.772805Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:51b1360b98a3e248f82948b88ba679c7996e9a1f4ea3aecf73e686c65e87f272","observation_id":"aa56e023-6d6b-485b-aa6c-3cba391151ba","resolution":{"observed_at":"2026-08-03T13:24:07.772805Z","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":"2026-08-03T13:24:07.976674Z","title":"Multi-spectral entropy constrained neural com- pression of solar imagery,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:07.976674Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:f1b80ef3b8152508556d545047f7615852a72396697e77277b1afcf5bf1cfbaf","observation_id":"0d77b0f9-485d-45a3-935b-87fc5777cde7","resolution":{"observed_at":"2026-08-03T13:24:07.976674Z","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":"2026-08-03T13:24:08.087799Z","title":"Co-embedding of nodes and edges with graph neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:08.087799Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:8460953e709ff86cd79f899bb110a6b1c11058c85a32bc072149709c2ab27f58","observation_id":"b4ee3192-ccd3-48af-a5a3-496a61780340","resolution":{"observed_at":"2026-08-03T13:24:08.087799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04006","last_updated":"2019-11-10T22:48:56Z","snapshot_observed_at":"2026-07-06T08:35:57.238916Z","submitted_at":"2019-11-10T22:48:56Z","title":"Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.04006","snapshot_observed_at":"2026-08-03T13:24:08.179871Z","title":"Using u-nets to create high-fidelity virtual observations of the solar corona,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:08.179871Z"},"links":{"cited_paper":"/paper/1911.04006","citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:6e2184620416642784f293e19799a4c77f56c55d2c06ff1db83afe1d7faeb03e","observation_id":"10cc3758-df62-4245-a051-e4b591425db0","resolution":{"observed_at":"2026-08-03T13:24:08.179871Z","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":"2026-08-03T13:24:08.308445Z","title":"Multiscale structural similarity for image quality assessment,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:08.308445Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:47ee62947d0f386295ae46aa859eff6b1377acd578cbb4ffbbd982ba79b2341e","observation_id":"f930e7ab-50d1-4edc-9a85-81fe006a6e0d","resolution":{"observed_at":"2026-08-03T13:24:08.308445Z","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":"2026-08-03T13:24:08.474465Z","title":"An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis,","venue":null,"work_id":null,"year":1927},"citing_paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T13:24:08.474465Z"},"links":{"citing_paper":"/paper/2512.24463"},"observation_digest":"sha256:f48d95630779a4cdf84bb117acdc912fc4f9ca01df627e8c0e583a747630465b","observation_id":"d5f8e5ad-d6c9-430e-8fd4-707a7c26a162","resolution":{"observed_at":"2026-08-03T13:24:08.474465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2512.24463","last_updated":"2025-12-30T20:54:43Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T13:24:02.457366Z","submitted_at":"2025-12-30T20:54:43Z","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":39,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":39},"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 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2512.24463."}