{"as_of":"2026-08-15T10:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5c45b6c0b6a12772d64acaeab6eacc58c2be97902698a02b51b10d236d5e126","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T04:30:28.079881Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2608.05669/citation-record","integrity":"/paper/2608.05669/integrity","json":"/paper/2608.05669/citation-record.json","paper":"/paper/2608.05669"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:30:28.699869Z","title":"The development of a three-dimensional finite element method code for the heat flux analysis of tungsten monoblock divertor on east,","venue":null,"work_id":"790d91ee-1955-4de5-a972-b68b1401439d","year":2020},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.926823Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:43d14707ab25b311a80325e8c2017fcf9d90d2ed264e8b232f4dc5b32773ca5c","observation_id":"4356b6ad-ea1c-419e-90a5-9d71355a9850","resolution":{"observed_at":"2026-08-08T04:30:28.704939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.685293Z","title":"Physics basis for the first iter tungsten divertor,","venue":null,"work_id":"5cb84ae6-762a-4ba2-bab2-c762d66d8f5b","year":2019},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.931755Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:3e834ceb2b2627e6304ac49e106d6d9ee508b28b0a47070410a845b708b63398","observation_id":"5258e836-bf1f-4d67-a1d2-d3b6f5679460","resolution":{"observed_at":"2026-08-08T04:30:28.690071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.671186Z","title":"Physics informed neural networks towards the real-time calculation of heat fluxes at w7-x,","venue":null,"work_id":"a53ffb19-deab-4f20-852d-0a7b10bfb535","year":2023},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.936543Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:5f58d5fad8619be7db465993da4fa4cd12772952ab29fb7be70461463e34f79b","observation_id":"95c8ed1e-70a4-4664-85c0-790267750f92","resolution":{"observed_at":"2026-08-08T04:30:28.675800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.656751Z","title":"Energy flux to the asdex-upgrade diverter plates determined by thermography and calorimetry,","venue":null,"work_id":"14b00c16-e1cf-4d02-a54a-12ff5f401029","year":1995},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.941045Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:215e61cd256d305f334f9058ca3c8cbe416f914c8fdcf7d29b31cf66611e44d4","observation_id":"eabd6deb-d245-4e87-bc77-6e428812dbdb","resolution":{"observed_at":"2026-08-08T04:30:28.661697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.640207Z","title":"Thermographic studies of outer target heat fluxes on kstar,","venue":null,"work_id":"4880e1fc-63b0-494c-90a5-0ecb5ed1aed9","year":2017},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.945862Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:9ade3afc4a9c270ffac8d0707543d29317550bcd0f2d508b25181174c533e1de","observation_id":"01ed1106-7588-4811-9506-f594d2f19e43","resolution":{"observed_at":"2026-08-08T04:30:28.645335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.625969Z","title":"Heat flux on east divertor plate in h-mode with lhcd/lhcd+ nbi,","venue":null,"work_id":"860c8736-88ff-44c4-9826-7c6a96bd724d","year":2017},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.950477Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:3f7edef15341b2a85b14be5c115e9337a8ae14ec03510d26b93678257f4a38b7","observation_id":"8d05abbf-eebe-4b56-bd2b-76a24e379f61","resolution":{"observed_at":"2026-08-08T04:30:28.630814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.611652Z","title":"Convolutional neural networks for heat flux model validation on nstx-u,","venue":null,"work_id":"97c7bf40-4404-4fa6-8f06-63f5ab0b588f","year":2019},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.955670Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:9ee84f8ca54fae1e22b523b7b0cad72fd5c7d3694813f43ecb62f1b48c02f5bd","observation_id":"b3df7c59-23bd-4c0e-a11a-527b933767c5","resolution":{"observed_at":"2026-08-08T04:30:28.616274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.03776","last_updated":"2025-08-05T12:42:02Z","snapshot_observed_at":"2026-08-06T16:32:51.324466Z","submitted_at":"2025-08-05T12:42:02Z","title":"Revisiting Heat Flux Analysis of Tungsten Monoblock Divertor on EAST using Physics-Informed Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.03776","snapshot_observed_at":"2026-08-08T04:30:27.960134Z","title":"Revisiting heat flux analysis of tungsten monoblock divertor on east us- ing physics-informed neural network,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.960134Z"},"links":{"cited_paper":"/paper/2508.03776","citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:e111bba0b8228ba7332dba6b1556a2ce0953ca6821141b4e9133995f1732fa57","observation_id":"72163110-834a-48c1-9d74-5bf8b5c6519f","resolution":{"observed_at":"2026-08-08T04:30:27.960134Z","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":"2026-08-08T04:30:28.597255Z","title":"Predicting disruptive instabilities in controlled fusion plasmas through deep learning,","venue":null,"work_id":"e2bfab06-4afa-4d97-84d1-75156122deec","year":2019},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.965209Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:ce64db1c396de54dcc27270273b39cb64f9a5d907f7a6ffbc96672665b866104","observation_id":"286b6f45-1c9d-47b0-b83a-28b8967a80ef","resolution":{"observed_at":"2026-08-08T04:30:28.601873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.581995Z","title":"Disruption prediction using a full convolutional neural network on east,","venue":null,"work_id":"3b41726b-964b-4c38-b798-9cd867387aa6","year":2021},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.969541Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:daa12306f65070f821578127d2c5c0d27a469db69636f5465d7bae515e069fdf","observation_id":"e051e7d4-6365-4d21-ad3a-5da1d24759a2","resolution":{"observed_at":"2026-08-08T04:30:28.587104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.566676Z","title":"Disruption prediction for future tokamaks using parameter-based transfer learning,","venue":null,"work_id":"ed02e25c-11b9-4fea-b3d4-71a90c0acd8d","year":2023},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.973827Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:bf13546204b36e6f9c7448889f8900f66bfd1b212e4d21cfc360c6692df1f46a","observation_id":"ee12b2ac-27e3-4f30-9d91-c3a76d1e19ee","resolution":{"observed_at":"2026-08-08T04:30:28.571641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.552369Z","title":"Classification of tokamak plasma confinement states with convolutional recurrent neural networks,","venue":null,"work_id":"8402b7c7-eab9-4487-b4df-eb9fec6a6c76","year":2020},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.978295Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:68012f5bec841e848aecf7bfd66c906b572dbf7436458b39f6ffc5458143bc26","observation_id":"86af9e00-4d0d-45bd-9280-ad9f6bc8d712","resolution":{"observed_at":"2026-08-08T04:30:28.557127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2508.02411","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:30:28.198975Z","title":"Hgts-former: Hierarchical hypergraph transformer for multivariate time series analysis,","venue":null,"work_id":"29c99c4d-94f4-40e4-ae92-89145ba7fc56","year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.982754Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:fc52d913fca4c439481416c8bb7f9283d728f470995012023a80b9bf21a6bcec","observation_id":"dbec8010-c46a-4fcf-9bbf-5c83080d93e1","resolution":{"observed_at":"2026-08-08T04:30:28.208701Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.537455Z","title":"Tokamak edge localized mode onset prediction with deep neural network and pedestal turbulence,","venue":null,"work_id":"1b99b5e2-4da6-4b1e-88f9-6fce7bafc66f","year":2024},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.987186Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:1ab2236335c006e6d5f6d32ad3771bf0655fa81c56fda083c263e249891b754f","observation_id":"c138ddbe-ca53-4594-b8e6-0742cf022c68","resolution":{"observed_at":"2026-08-08T04:30:28.542426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.522571Z","title":"Time series extrinsic regression for reconstructing missing electron temperature in tokamak,","venue":null,"work_id":"f0842107-0326-4db0-b5a8-28f5b95112f9","year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.991563Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:0be6b268a62518275e8d58f2a02d67c83b6d236da5e48f4ab5b06a4276c51de7","observation_id":"0969250f-4016-435c-9ead-8bf6e1f902f5","resolution":{"observed_at":"2026-08-08T04:30:28.527377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.507828Z","title":"Deep learning-based time series forecasting: X. song et al","venue":null,"work_id":"e3a97e32-0b8f-47d3-acc4-84ae5f1a8c42","year":2024},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:27.995884Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:24940cba24e20de9f017c6143e468d95a9937f7e91f621f89d46038d9c8faa03","observation_id":"3a4c9c24-d681-43a0-a11f-f57ec20eaaa1","resolution":{"observed_at":"2026-08-08T04:30:28.512670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.000303Z","title":"A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.000303Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:af362ae593ebce71ca943de691efec019b956521597052977da69a988ea5b555","observation_id":"03b11dbd-72ff-4f6c-90fd-b224fc79dd7c","resolution":{"observed_at":"2026-08-08T04:30:28.000303Z","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":"2026-08-08T04:30:28.483674Z","title":"Deep learning for time series forecasting: a survey,","venue":null,"work_id":"0cf9843b-4f90-4aa0-a2cd-b2903009777c","year":2021},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.004590Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:d4828a8f6f4ce438145144e621bd7bef07ec80877a856a7f279ed42583da14e6","observation_id":"91227681-1698-4e66-bc0e-98e26df78f2c","resolution":{"observed_at":"2026-08-08T04:30:28.488363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.468010Z","title":"itrans- former: Inverted transformers are effective for time series forecasting,","venue":null,"work_id":"ccfb1b66-486c-4d99-9818-063bae22fd67","year":2024},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.008976Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:a1d89ab113edbfef0ad3e5a949d1fe00b530368bb42818ec7b94905899d59781","observation_id":"66ed256b-5449-4dc1-9230-91f2b6b8ea9f","resolution":{"observed_at":"2026-08-08T04:30:28.473110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.452230Z","title":"Timer-xl: Long- context transformers for unified time series forecasting,","venue":null,"work_id":"0c7f1bf9-2c09-4cb9-a755-863f8bd94d4c","year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.013314Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:1c31c77e22ef4a1decbbbbf43ef8ba06337ea1d1a3225d79e3f9b7b9554177ce","observation_id":"ac1123ac-fb2b-4a10-83c3-5a1a92a516f6","resolution":{"observed_at":"2026-08-08T04:30:28.457126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.437211Z","title":"SimpleTM: A simple baseline for multivariate time series forecasting,","venue":null,"work_id":"f2ca3cd3-41a6-40d3-b9e3-13266620e399","year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.017887Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:cdcab921bc5d01e35e2791ffcf5fe33b4cabdbcb95a74bb923f3c53bb54d56ae","observation_id":"cfbb694f-48c5-4591-b767-a38557cccda7","resolution":{"observed_at":"2026-08-08T04:30:28.442164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.420150Z","title":"Timefilter: Patch-specific spatial-temporal graph filtration for time series forecasting,","venue":null,"work_id":"9a8e9eb8-df94-45f6-99b7-d24180c86f0e","year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.022198Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:800a19678adbd7d8683528499465d7e2f8078b31f4b96a34b748e0440e8c75e5","observation_id":"5f06db48-a1d5-4cb0-9bfb-07c260d68bd7","resolution":{"observed_at":"2026-08-08T04:30:28.425080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.405304Z","title":"Frequency-domain mlps are more effective learners in time series forecasting,","venue":null,"work_id":"c8983642-9916-4610-a2c0-ba06a560bb14","year":2023},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.026645Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:930dc9aed7b72c145d7e7650896e59525025a0630fb09cf1f08c9372e48b97da","observation_id":"9dcb5144-a986-43fe-9796-26c8263d38cc","resolution":{"observed_at":"2026-08-08T04:30:28.409980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.390703Z","title":"Film: Frequency improved legendre memory model for long-term time series forecasting,","venue":null,"work_id":"ffd87aff-e683-481b-8f2a-c71c959ac885","year":2022},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.031135Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:69ee7687346d2ccfabf3a8f8e0d4d920ee33d5c5b1db522d4796ba0f926bbb72","observation_id":"284b9745-b7b2-4577-a396-0c5603ca0fdc","resolution":{"observed_at":"2026-08-08T04:30:28.395413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.035541Z","title":"Timesnet: Temporal 2d-variation modeling for general time series analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.035541Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:51168c66a2cd6654f017cf56fc624ca85b1320e301e9abf6bfe5e7bd42afe1df","observation_id":"98927389-4312-45ed-b1be-a2e50945d28b","resolution":{"observed_at":"2026-08-08T04:30:28.035541Z","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":"2026-08-08T04:30:28.365984Z","title":"Timeperceiver: An encoder-decoder framework for generalized time-series forecasting,","venue":null,"work_id":"66a1e4d5-e248-4fe0-9e72-fc9c312662f5","year":2026},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.039990Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:3196e95ad225a78f814ccd5c410fd73950043b7a7680fdc8a72d4b16c84c7840","observation_id":"6e382afe-8a44-4247-b781-38b2e9f32519","resolution":{"observed_at":"2026-08-08T04:30:28.370895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.350032Z","title":"Sonnet: Spectral operator neural network for multivariable time series forecasting,","venue":null,"work_id":"5314c68d-98b0-4eea-9960-b9bbb368219e","year":2026},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.044506Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:d8a31e7959d8cdc5f49ad78650968525245b1179c3cb176f0217b4aed36960bb","observation_id":"2b6a041f-a211-4cc6-8f03-3506978776f8","resolution":{"observed_at":"2026-08-08T04:30:28.355599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.333202Z","title":"Timexer: Empowering transformers for time series forecasting with exogenous variables,","venue":null,"work_id":"d67b669f-d3fe-4282-87ce-5aa9a840b026","year":2024},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.048999Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:4a05fbfe84be83301959cec1e739b8e3926304ec2dc8162f5d1f64878e218788","observation_id":"0a229783-d7a8-4bf6-8735-fe5e310daf05","resolution":{"observed_at":"2026-08-08T04:30:28.338734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.318827Z","title":"GCGNet: Graph-consistent generative network for time series forecasting with exogenous variables,","venue":null,"work_id":"515592d2-6b60-487e-881c-ae5e8175a6b3","year":2026},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.053459Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:3128122ee8f622dc308346b8bf274d5b98914add0bf3428c58198e3754ce1367","observation_id":"34f0aa65-3ecb-4aee-b1e7-6af42ad9ae5d","resolution":{"observed_at":"2026-08-08T04:30:28.323620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.304258Z","title":"T1: One-to-one channel-head binding for multivariate time-series imputation,","venue":null,"work_id":"be171788-8ffb-4a8a-9185-9fa571b83506","year":2026},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.057784Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:4b413d1ed1c92e2cd976cd9feaf07e0b7203086aba1c878826d276ac5a4ad50d","observation_id":"3146189f-dbd7-41ef-9dae-f089da46173d","resolution":{"observed_at":"2026-08-08T04:30:28.309005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.289341Z","title":"Saits: Self-attention-based imputation for time series,","venue":null,"work_id":"e2eb66eb-c231-418f-9474-70af71bee80b","year":2023},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.062196Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:38b9b33012aa6a5c306033a563b8fb588dd291f8ddf8a54a0d9e4f1b98cb1290","observation_id":"a5c688c0-6f30-4116-ab24-6a8558b6bc43","resolution":{"observed_at":"2026-08-08T04:30:28.293978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.274743Z","title":"Brits: Bidirectional recurrent imputation for time series,","venue":null,"work_id":"de8ff513-bf79-4ccc-82b7-24e1a8d3af56","year":2018},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.066493Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:c9964c385600f3faa87c5e39108f8040a36890974000e43512f1ba3613ae91a7","observation_id":"377b88ca-ad7d-4dd0-8eee-4251e5ad1f4b","resolution":{"observed_at":"2026-08-08T04:30:28.279503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.070920Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.070920Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:b2a37b015377201f7437f452520bd5aee401b582f3259793d4a464694ec8c93f","observation_id":"5af8addc-fe10-4f52-a145-97fae911225b","resolution":{"observed_at":"2026-08-08T04:30:28.070920Z","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":"2026-08-08T04:30:28.251041Z","title":"Audio super-resolution with latent bridge models,","venue":null,"work_id":"043c63fe-12a0-4c2c-aac6-150079ba57ed","year":2026},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.075504Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:cdea9dc7b8dc42f8838384b9d21f97310bfc6ca82506b1f912eeb319409e75a5","observation_id":"74f443ba-379e-4c03-9e00-e1a2c5da1bcd","resolution":{"observed_at":"2026-08-08T04:30:28.255601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-08T04:30:28.236220Z","title":"Crosslinear: Plug-and- play cross-correlation embedding for time series forecasting with exoge- nous variables,","venue":null,"work_id":"b3a2e05f-f915-4662-8a32-1838cec82aef","year":2025},"citing_paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T04:30:28.079881Z"},"links":{"citing_paper":"/paper/2608.05669"},"observation_digest":"sha256:d3b3035a85107c77a85b6434486c1ac61fa65fd5506a2695c348bf75cd76bb70","observation_id":"40ef6780-64d4-4615-bc4e-a95163af2a2b","resolution":{"observed_at":"2026-08-08T04:30:28.241126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.05669","last_updated":"2026-08-06T07:05:58Z","latest_version":1,"primary_category":"physics.plasm-ph","snapshot_observed_at":"2026-08-13T10:51:43.736802Z","submitted_at":"2026-08-06T07:05:58Z","title":"SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":1,"verified_fuzzy":30},"total_outbound_references":35},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.05669."}