{"as_of":"2026-08-09T20:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56fde6a294cb8d7e9ccc3d6143b39db7c428fb1aded13025ad512c272a7ab750","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T22:41:32.182573Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2602.16224/citation-record","integrity":"/paper/2602.16224/integrity","json":"/paper/2602.16224/citation-record.json","paper":"/paper/2602.16224"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T22:41:30.444175Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.444175Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:9c8d81fe344499052a65caa88a6a9205c8ff3916d01b84512271d9da093406fa","observation_id":"b7693c6d-751d-4ae4-8d3f-fc953e11c688","resolution":{"observed_at":"2026-08-02T22:41:30.444175Z","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":"2026-08-02T22:41:30.449831Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.449831Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:06065aa444bb412d6d15d59b1b0502cdd89ac1ed6a2da2152cd2fc4012b4df5f","observation_id":"ffbf0f27-46ec-4911-a03e-9224b2aefa41","resolution":{"observed_at":"2026-08-02T22:41:30.449831Z","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":"2026-08-02T22:41:30.454876Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.454876Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:6fb35efc2f807115ea8f8b66ead219b7e89cc460037948338c4f680be4759faf","observation_id":"3c719ab7-c807-4aa3-b831-0f8283147c86","resolution":{"observed_at":"2026-08-02T22:41:30.454876Z","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":"2026-08-02T22:41:30.459991Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.459991Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:f7be09b1cd8db681762fdf80d67fe6d2ce6024549f537b0ac25489d51f166b64","observation_id":"9ec1293b-288f-4644-8604-4b00f631f13a","resolution":{"observed_at":"2026-08-02T22:41:30.459991Z","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":"2026-08-02T22:41:30.465306Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.465306Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:0c07149c1ee242f217982b616e70f2737f6753f0808941ede610bb8b675aa3bc","observation_id":"f4a495d6-02e6-4649-8b43-1628f602dd1e","resolution":{"observed_at":"2026-08-02T22:41:30.465306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06053","last_updated":"2023-09-11T11:19:49Z","snapshot_observed_at":"2026-08-09T20:36:31.515646Z","submitted_at":"2023-03-10T16:41:24Z","title":"TSMixer: An All-MLP Architecture for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06053","snapshot_observed_at":"2026-08-02T22:41:30.477774Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.477774Z"},"links":{"cited_paper":"/paper/2303.06053","citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:68926334663b6652e129902fa92d218f0755214dca61f65237f65321ac274bac","observation_id":"7ef1af5e-1ea3-48a4-bd6f-aafede0ba4e3","resolution":{"observed_at":"2026-08-02T22:41:30.477774Z","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":"2026-08-02T22:41:30.482932Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.482932Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:51d33948a25249391439e5aedf7b66049cf1c085fdb3312cfdd547788a0e9195","observation_id":"ce70eeee-5935-4fd2-93ee-281979c45f5c","resolution":{"observed_at":"2026-08-02T22:41:30.482932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1078","last_updated":"2014-09-03T00:25:02Z","snapshot_observed_at":"2026-07-06T03:45:28.546418Z","submitted_at":"2014-06-03T17:47:08Z","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.1078","snapshot_observed_at":"2026-08-02T22:41:30.492485Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.492485Z"},"links":{"cited_paper":"/paper/1406.1078","citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:513dbb0997f67881232491a1e6e4cdc3cac7a9732fe0fd10fb4ee03448882633","observation_id":"e68fa2ea-65f8-4142-bd12-71fbf434125c","resolution":{"observed_at":"2026-08-02T22:41:30.492485Z","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":"2026-08-02T22:41:30.497605Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.497605Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:49ea3f8d040414074fb6d05994d78e582f9dddb03bb64c489b30bd3b5aa48ce8","observation_id":"65fbbf6a-5bb9-481f-ae56-43194dc5d250","resolution":{"observed_at":"2026-08-02T22:41:30.497605Z","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":"2026-08-02T22:41:30.502407Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.502407Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:1fb101e80ef63cde9844ae54c43add323a8e94a3b8a08e370fe53e3a19e08ae0","observation_id":"537508aa-d232-43be-a8b1-13dac9801a12","resolution":{"observed_at":"2026-08-02T22:41:30.502407Z","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":"2026-08-02T22:41:30.507163Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.507163Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:bb0125426f4c69812dab498b0ce76eb56db3927a77761ce394bbd70a0e286660","observation_id":"7bf2de1b-9c71-42f0-8fb6-f400ab693f85","resolution":{"observed_at":"2026-08-02T22:41:30.507163Z","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":"2026-08-02T22:41:30.512226Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.512226Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:1d3fe34cc1754b6de6a26b9d3980e0d543f28550bb17189774bcf3ff0cb94734","observation_id":"cd6a7f57-e1e2-4a51-9626-21d250d28167","resolution":{"observed_at":"2026-08-02T22:41:30.512226Z","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":"2026-08-02T22:41:30.523622Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.523622Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:ce82d84d5ee4784954d30d321e1d3cf817b4d8e8720029aeb4279c3195954f6d","observation_id":"180dc2ee-3ea1-4301-bcad-94cd6ed425c1","resolution":{"observed_at":"2026-08-02T22:41:30.523622Z","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":"2026-08-02T22:41:30.536333Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.536333Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:83b837430400bdce3feef83c48011b19839ffc3bcbb003e7a4d1416fc095400d","observation_id":"775f2b87-fee3-470b-986c-935371337f52","resolution":{"observed_at":"2026-08-02T22:41:30.536333Z","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":"2026-08-02T22:41:30.548946Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.548946Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:cca4169eca08598d8ac4f444c301cabe9e15d7109e10e5ff0988bf2e2e4d81c0","observation_id":"04ee05d8-e498-49c9-b800-4884207fdb8c","resolution":{"observed_at":"2026-08-02T22:41:30.548946Z","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":"2026-08-02T22:41:30.559763Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.559763Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:4e71d6e4d9c226312f9164d6501ba96678f9c67f9517bf15f78eeab993861fce","observation_id":"ee58ebe1-d9ef-48c3-82dc-1106776c208b","resolution":{"observed_at":"2026-08-02T22:41:30.559763Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-02T22:41:30.579104Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.579104Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:7b6b35ade23c350cc5eb4f172524bddd52afc5feb0d95ce62c0bdcf3c05593ab","observation_id":"6338ae8b-5e43-478c-bf96-fe52911a1a77","resolution":{"observed_at":"2026-08-02T22:41:30.579104Z","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":"2026-08-02T22:41:30.589749Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.589749Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:196fcf9ce97a75e452fa3b0a9515938502ce807ccb532b82c88bca5681526461","observation_id":"4b4d5ea7-0956-42c9-a502-2428d78011d5","resolution":{"observed_at":"2026-08-02T22:41:30.589749Z","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":"2026-08-02T22:41:30.600950Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.600950Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:6e54b457de3582f99a6706fd077c49c7f1d08fbf16b33187388a0c3998533889","observation_id":"ecb33cf6-f4c9-49c5-ba6b-61bd33232529","resolution":{"observed_at":"2026-08-02T22:41:30.600950Z","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":"2026-08-02T22:41:30.609604Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.609604Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:eae9b8ada4eb41d92086d8e320f983ca1fef0d72668660c4c4bbc5c5b1f5a704","observation_id":"8b70d184-f5c8-4bb1-9d4c-281253114c83","resolution":{"observed_at":"2026-08-02T22:41:30.609604Z","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":"2026-08-02T22:41:30.619366Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.619366Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:a1143af45db614ab6d18029097847be30b5d4fb176c08fd7c89fb5c237b952c3","observation_id":"5586eacf-416d-45ae-aced-37a579102174","resolution":{"observed_at":"2026-08-02T22:41:30.619366Z","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":"2026-08-02T22:41:30.632351Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.632351Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:21cdc37fbec73d23feb4bad957e6a3a91cfe57e2709dfff347a3a0024ff6dfd6","observation_id":"ec7c7f58-7fb1-44f0-a9ea-ff980de808c4","resolution":{"observed_at":"2026-08-02T22:41:30.632351Z","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":"2026-08-02T22:41:30.642162Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.642162Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:f519144083241f47e5ee885f85b15b5b6102d2a32be41384a7a54cd3666e97de","observation_id":"8362d71d-eae5-4768-97a7-35b66ee4d76d","resolution":{"observed_at":"2026-08-02T22:41:30.642162Z","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":"2026-08-02T22:41:30.654298Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.654298Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:496853736d8651324d601aa2003bf71f6ebf81e53b675fe80467bde04a17acf6","observation_id":"55c33be3-5233-4d02-b1ae-07fdba3d0c7e","resolution":{"observed_at":"2026-08-02T22:41:30.654298Z","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":"2026-08-02T22:41:30.665887Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.665887Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:b680a1ca0b882fe25482d12fe2cafad35e0ce9e888e641d55f21676a4b478293","observation_id":"261f6ffd-47e3-459f-a011-26a9fbdb0d4a","resolution":{"observed_at":"2026-08-02T22:41:30.665887Z","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":"2026-08-02T22:41:30.679101Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.679101Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:1efa4f7b7f07b65b1c0a487582b83da9c3720fef7067d9ec0cc4f5776eb113ed","observation_id":"acb7ed15-061b-49a8-980b-c343f4d612bb","resolution":{"observed_at":"2026-08-02T22:41:30.679101Z","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":"2026-08-02T22:41:30.690074Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.690074Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:aa95b757c51c3435a04d24cb85fa77aacfe9775a2c16387c5da613fe49f3b2eb","observation_id":"c3c37ee9-baa7-439f-b58d-d60e61e0a705","resolution":{"observed_at":"2026-08-02T22:41:30.690074Z","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":"2026-08-02T22:41:30.700833Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.700833Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:26ad5c03e37d17db3f6c06d90e8ed8c9aeec6294ebd077091494af9d8d7b4035","observation_id":"ce2ebfac-fc39-4024-a11a-4cb6928216dd","resolution":{"observed_at":"2026-08-02T22:41:30.700833Z","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":"2026-08-02T22:41:30.711387Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.711387Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:a8b2dd80a6a584e96b53b4f5ca47373bac8a9b9b66b3d53c84d8f282dcd4b40d","observation_id":"a9f22302-0ccd-4e0c-82ef-7aee2bfa19c5","resolution":{"observed_at":"2026-08-02T22:41:30.711387Z","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":"2026-08-02T22:41:30.774479Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.774479Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:dc554ecf49df72581e28a525aec56cd6d31be0eb641198aa229d840fdeb93f73","observation_id":"7213dfe1-2b61-4981-9499-a13b3783b2ed","resolution":{"observed_at":"2026-08-02T22:41:30.774479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04038","last_updated":"2023-02-07T00:30:26Z","snapshot_observed_at":"2026-07-06T13:18:44.773914Z","submitted_at":"2022-06-08T17:54:26Z","title":"Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04038","snapshot_observed_at":"2026-08-02T22:41:30.861375Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.861375Z"},"links":{"cited_paper":"/paper/2206.04038","citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:5c041f0ca4158a197a93cd9a376337843ce069bbb07221ebeb9a500df09dc4de","observation_id":"7ff67b46-df9d-44ec-a73f-585065e1c811","resolution":{"observed_at":"2026-08-02T22:41:30.861375Z","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":"2026-08-02T22:41:30.916072Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.916072Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:ec0e1b54dadb038ae43726fbbd3db01a194ac324ebabbaa141950c936608f1d9","observation_id":"c0e9c464-e545-4776-800c-4da3968e9b39","resolution":{"observed_at":"2026-08-02T22:41:30.916072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10061","last_updated":"2022-06-17T07:56:18Z","snapshot_observed_at":"2026-07-30T18:37:57.349788Z","submitted_at":"2020-02-24T03:33:58Z","title":"Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10061","snapshot_observed_at":"2026-08-02T22:41:30.983773Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.983773Z"},"links":{"cited_paper":"/paper/2002.10061","citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:74c61642eabbde3f6adb3ce21f021cbb0f62d34a58cdec3a65568d194b86bc7d","observation_id":"98981134-ea7d-4bb7-b351-d84c0ee96b6f","resolution":{"observed_at":"2026-08-02T22:41:30.983773Z","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":"2026-08-02T22:41:31.075577Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.075577Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:20445ccc61681274366dda9aa44101627297e668858831488e99b99468fb5c22","observation_id":"6af8c5d7-c62f-4669-9a98-8e67cbed908c","resolution":{"observed_at":"2026-08-02T22:41:31.075577Z","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":"2026-08-02T22:41:31.156607Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.156607Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:aacbc1ee58f60b8ac6a1b0a2a9ec3de3dd0aca337926a0ea42fcf60f2d7a8f93","observation_id":"ff8cebc3-fa80-4a02-8b2f-a77b6d2bf928","resolution":{"observed_at":"2026-08-02T22:41:31.156607Z","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":"2026-08-02T22:41:31.235903Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.235903Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:9d518e1c7376f7b47e7352da37ce978b35730d82532bb1fd1007c5229904c3fb","observation_id":"c16fdd15-c4a5-4652-bb3b-cf6abec4081c","resolution":{"observed_at":"2026-08-02T22:41:31.235903Z","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":"2026-08-02T22:41:31.311311Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.311311Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:e9aab8986cf5fb73aea5679163136773558eb6d83b2f722a1b50d48b241625a2","observation_id":"07c03dc1-8721-44fc-95df-e4be871459e3","resolution":{"observed_at":"2026-08-02T22:41:31.311311Z","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":"2026-08-02T22:41:31.382949Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.382949Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:4669342b697da646093d3bc532d58b83d7a1cc7b36eb6b198bb6289ea34cde74","observation_id":"855cbc32-4fed-4b93-a171-412c4a9d8e3f","resolution":{"observed_at":"2026-08-02T22:41:31.382949Z","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":"2026-08-02T22:41:31.481727Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.481727Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:97e35f1c1f86d6956c333a8a8f827bdeb66b1bb4b355d6ebeb1515f3cf8b76e2","observation_id":"4faaef31-f0be-439c-8a5a-4dd03d924f27","resolution":{"observed_at":"2026-08-02T22:41:31.481727Z","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":"2026-08-02T22:41:31.582450Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.582450Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:96f5f8c115b2dcc98c08c143d13ac82132ee6a1161a860976bbc715516e5eff7","observation_id":"19893d69-f3ec-4135-a248-e1fbf52a05c3","resolution":{"observed_at":"2026-08-02T22:41:31.582450Z","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":"2026-08-02T22:41:31.760437Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.760437Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:ebfbb3d894cfc7089f72103500523c0ac6e240151accbfc7fbbba6a901c98ace","observation_id":"c87d2412-4da8-42d1-95f0-fdae77dd3870","resolution":{"observed_at":"2026-08-02T22:41:31.760437Z","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":"2026-08-02T22:41:31.841598Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.841598Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:c8e70631a9eaa05fbcd5eb521e45378a60a929726cb4e30566a7e217b3d93907","observation_id":"915a7320-ed81-40ca-b359-fbbba40ba9d2","resolution":{"observed_at":"2026-08-02T22:41:31.841598Z","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":"2026-08-02T22:41:31.944813Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.944813Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:920c96802dd639613086566db57077535b1b3b3d0c513cbf0131eade54575494","observation_id":"bb1ea564-b958-4ae8-9b14-c2a11bf4df8d","resolution":{"observed_at":"2026-08-02T22:41:31.944813Z","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":"2026-08-02T22:41:32.015101Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:32.015101Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:759aefce217f5dc534b7a767d9075e8970a6c992c66390d4e7ea05c10ca15b75","observation_id":"8720471a-ebee-4325-913a-79f7f55a0810","resolution":{"observed_at":"2026-08-02T22:41:32.015101Z","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":"2026-08-02T22:41:32.114060Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:32.114060Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:41b909be850548d494ff8050554387ffb18e1dc15383668bb1b3491f7e7fb0fe","observation_id":"4fe5e9c6-8b24-4809-bb52-c42047d17b72","resolution":{"observed_at":"2026-08-02T22:41:32.114060Z","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":"2026-08-02T22:41:32.182573Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:32.182573Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:958277d5becb72befb0bf4bebe6e3141c69a2eeb3e60987fbd01bc4d538a90e9","observation_id":"f115355e-0f96-4bc0-9352-834e3f67a34a","resolution":{"observed_at":"2026-08-02T22:41:32.182573Z","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":"2026-08-02T22:41:31.678129Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:31.678129Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:0e42baaa9162471265fcadf766a183af968815f3e23ee9e144a5f8710bb5963a","observation_id":"3b93db18-a387-417f-a7e7-f8f3af4c1482","resolution":{"observed_at":"2026-08-02T22:41:31.678129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12886","last_updated":"2022-11-29T21:55:57Z","snapshot_observed_at":"2026-08-08T11:34:43.019079Z","submitted_at":"2022-01-30T17:52:19Z","title":"N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12886","snapshot_observed_at":"2026-08-02T22:41:30.470868Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.470868Z"},"links":{"cited_paper":"/paper/2201.12886","citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:a6c8f564f781d9a637cc4eacff0918a8e2c9413bab85ff60ea7c9bd0c60e0b92","observation_id":"cac40cc8-4ecd-4f75-b3b0-c1827a043868","resolution":{"observed_at":"2026-08-02T22:41:30.470868Z","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":"2026-08-02T22:41:30.487874Z","title":"InProceedings of the ACM Web Conference 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:30.487874Z"},"links":{"citing_paper":"/paper/2602.16224"},"observation_digest":"sha256:f5e02d6da1365aee7f32d12dbd87aa68a0dd99d3fbe191576ff7500369e507ad","observation_id":"ebf6049f-33a3-4d6b-9eae-be3fb744130e","resolution":{"observed_at":"2026-08-02T22:41:30.487874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.16224","last_updated":"2026-06-07T08:19:06Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T11:30:08.231061Z","submitted_at":"2026-02-18T06:59:05Z","title":"Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":49},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2602.16224."}