{"as_of":"2026-08-22T12:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd90788bde998a53b1699ef9392a6931ae8bb3e1e5fcac2869f6bf215f6e86ae","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T06:26:49.378618Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2601.22879/citation-record","integrity":"/paper/2601.22879/integrity","json":"/paper/2601.22879/citation-record.json","paper":"/paper/2601.22879"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:26:46.685534Z","title":"R., D \\'a n, G., Miorandi, D., and Chlamtac, I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:46.685534Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:d944ae4b1e0f098109e4a7585dcbeeaec3ffbefe0b7761b1fbf41185a9370a0a","observation_id":"126863e1-2379-407e-84ba-0982f46a3322","resolution":{"observed_at":"2026-08-03T06:26:46.685534Z","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":"2026-08-03T06:26:46.774674Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:46.774674Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:53a30a1b9a3de17171d3b10c2ae6230513a06fe7980876eed2567ab3a017667f","observation_id":"39da2709-4d1a-4dc7-873b-ad0d2d77c6b6","resolution":{"observed_at":"2026-08-03T06:26:46.774674Z","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":"2026-08-03T06:26:46.818908Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:46.818908Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:b99a78152c4daf87038879a115c72aabaaceaa5a1ec579caeac9c4a923e67d5b","observation_id":"0c45a23d-e96a-4122-8f22-073ea88e2ed5","resolution":{"observed_at":"2026-08-03T06:26:46.818908Z","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":"2026-08-03T06:26:46.889861Z","title":"S., Doescher, E., and Ramos, F","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:46.889861Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:3c71ae83bf3377475b695f4d4cd294fa7c9bf7fc5501d768e968406402178e60","observation_id":"fc0e6ace-3dfd-463d-a070-233725d5a548","resolution":{"observed_at":"2026-08-03T06:26:46.889861Z","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":"2026-08-03T06:26:46.982288Z","title":"S., Sirer, M","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:46.982288Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:9455fa6812431d0805b30d5a071acf6742a6eb663a5db154345e2d4fa44550c5","observation_id":"9db80445-4514-4d20-8e13-c03f69292695","resolution":{"observed_at":"2026-08-03T06:26:46.982288Z","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":"2026-08-03T06:26:47.076942Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.076942Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:23923315f6755831b13ac054428411a9f9210da4edc482a2b618b8a61d6c128c","observation_id":"cdf42642-46b6-4223-9580-fa30a01aa61b","resolution":{"observed_at":"2026-08-03T06:26:47.076942Z","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":"2026-08-03T06:26:47.140138Z","title":"K., Prabowo, A., Rahaman, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.140138Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:adefe1fb0542cf5808d81bbd319fe1e2c237c80b4b31d18810fefd8fcda2ccba","observation_id":"a3558016-4482-48c7-adf8-d52d395f7cfd","resolution":{"observed_at":"2026-08-03T06:26:47.140138Z","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":"2026-08-03T06:26:47.265631Z","title":"and Newe, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.265631Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:d07630e5a95573eef05cbc2c9222dbd1e5a83712de183fc84e94c586f118f0df","observation_id":"34afa259-5241-481e-bfcc-2bf5689efb20","resolution":{"observed_at":"2026-08-03T06:26:47.265631Z","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":"2026-08-03T06:26:47.380298Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.380298Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:4da55f26a2fdd4f8d3005bca310af46ad598aa0dde573d32be8841a07713e8e5","observation_id":"99bae108-f62f-4fac-baa9-3be20d6ced75","resolution":{"observed_at":"2026-08-03T06:26:47.380298Z","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":"2026-08-03T06:26:47.436099Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.436099Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:faaae38129f8a6100ab4f5551e9e4620c0f90eb28a5c343d1c3ff83475207474","observation_id":"0a776e9c-26b5-487e-bdfa-6e94e4ab9765","resolution":{"observed_at":"2026-08-03T06:26:47.436099Z","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":"2026-08-03T06:26:47.482290Z","title":"L., Esteban, C., and R \\\"a tsch, G","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.482290Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:070ae2c8b07fe90a7ab65f80f2902f919d22dee8175c6cb4987b709644e2963c","observation_id":"34e0ab5e-b6ae-438d-972d-0f27c309bcb8","resolution":{"observed_at":"2026-08-03T06:26:47.482290Z","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":"2026-08-03T06:26:47.567224Z","title":"B., Hanqing, C., Lake, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.567224Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:dc04b7fc96d6610c7a5f16bed9f17945a7a56cb9a7506825ea7880f579ae8b2d","observation_id":"966911f6-00a9-4855-8736-1a9d69b26343","resolution":{"observed_at":"2026-08-03T06:26:47.567224Z","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":"2026-08-03T06:26:47.685605Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.685605Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:791875278678a82817efd8ac72cd7cbb8d8881e5717c1febca476f5da73c1345","observation_id":"9885e36b-0718-4e69-ad02-d122e5fc65de","resolution":{"observed_at":"2026-08-03T06:26:47.685605Z","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":"2026-08-03T06:26:47.769230Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.769230Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:c05aaeab34cbae3ef20b1b6bbc52f485fd313b8778c2934dd7b7ddbbde6f49f5","observation_id":"e0391e2f-849b-4783-a983-c2aabdfdcef8","resolution":{"observed_at":"2026-08-03T06:26:47.769230Z","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":"2026-08-03T06:26:47.819506Z","title":"J., and Li, F","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.819506Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:d16fc3a893e3fdf950681d6d2f7b2cfc667c54b449d903d4abbef21773649e6f","observation_id":"5aeeef70-2b8c-4c33-9952-a1f358a211f3","resolution":{"observed_at":"2026-08-03T06:26:47.819506Z","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":"2026-08-03T06:26:47.931725Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:47.931725Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:9dfe33bcf3f7a3feb28f5ca154d37d85602fb54f1b853cc9fcf65b6b66800cae","observation_id":"2f3b9f1b-158a-4e37-8378-dc65dcb47d8e","resolution":{"observed_at":"2026-08-03T06:26:47.931725Z","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":"2026-08-03T06:26:48.063665Z","title":"P., Welling, M., et al","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.063665Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:5f5983908d1c33c0ee818fdf2fe1feb4e791767feb3bd00948ae3a9ef21823e8","observation_id":"a5acd335-1f32-40c2-ba37-6a34916cfb54","resolution":{"observed_at":"2026-08-03T06:26:48.063665Z","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":"2026-08-03T06:26:48.137929Z","title":"and Schwung, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.137929Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:11575695206d7686816ccabdced09267939cf988cd37ad94af5aaf02635b434c","observation_id":"b0b43067-b323-4458-adaf-f4384b81dbbd","resolution":{"observed_at":"2026-08-03T06:26:48.137929Z","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":"2026-08-03T06:26:48.239989Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.239989Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:421e65fc8b794b14b35b5bad1f5407a2d354ff4135621437816cc22728471031","observation_id":"feac3052-d79d-4ec5-88b9-7b63d380a315","resolution":{"observed_at":"2026-08-03T06:26:48.239989Z","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":"2026-08-03T06:26:48.334374Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.334374Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:44ce98d9c472891f02332bcd8d368c8f011d44127efe88b5ae211502727d5835","observation_id":"5f5cf68d-2acc-4226-8041-4cfc79b6a7f9","resolution":{"observed_at":"2026-08-03T06:26:48.334374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.13403","last_updated":"2021-01-17T04:54:51Z","snapshot_observed_at":"2026-08-19T20:28:36.943236Z","submitted_at":"2019-09-30T00:13:19Z","title":"Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.13403","snapshot_observed_at":"2026-08-03T06:26:48.450598Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.450598Z"},"links":{"cited_paper":"/paper/1909.13403","citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:dcf19fc3bc61756060ccc6ebfbd4c8f4ceb3e315d2a6d0daad972602f49a5d25","observation_id":"6b10c86a-efb4-4799-8182-10298318677f","resolution":{"observed_at":"2026-08-03T06:26:48.450598Z","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":"2026-08-03T06:26:48.566207Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.566207Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:a8915c4b8bd6c5a671c5da695c709fabb66ab1dbeb094bea2187cc58e3545af7","observation_id":"991732ed-6a16-403d-b23c-76bc05869104","resolution":{"observed_at":"2026-08-03T06:26:48.566207Z","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":"2026-08-03T06:26:48.660116Z","title":"B., Holmstr m, O., Bak-Jensen, B., and S rensen, P","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.660116Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:6ef8d1288fe5a45f6a27de86ec579bef0a42746a31d4ef418de5c70ec1f909bb","observation_id":"f9f40337-2d4e-4fc2-98f5-61e53905bb6e","resolution":{"observed_at":"2026-08-03T06:26:48.660116Z","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":"2026-08-03T06:26:48.808886Z","title":"C., Zaridis, D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.808886Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:a317f5c6c91e17140ebde2ee1c62eca02483344152e32b0e814fe3d79dcadf1f","observation_id":"86158e74-28a4-4844-b8a7-9b42cb3780bc","resolution":{"observed_at":"2026-08-03T06:26:48.808886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5255/ukda-sn-6583-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Thomson, M","venue":"Publish Your Sefer","work_id":"8ad640fd-9580-4cc1-9c32-a20f191c9da2","year":2010},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.890390Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:e1a8e681aa08a9cf24051b811eb3d671a05e91b478b258238695abfbcdfbef12","observation_id":"4ef9f8d2-7374-48f7-b8fb-997b69ecd599","resolution":{"observed_at":"2026-08-03T06:28:25.085076Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-03T06:26:48.973949Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:48.973949Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:5f69c73c85377ae504def040a2ea9e944d4c773b888662cb15bbe7ed82664ed3","observation_id":"04328c34-335a-499f-8155-83c908f7d5a1","resolution":{"observed_at":"2026-08-03T06:26:48.973949Z","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":"2026-08-03T06:26:49.023008Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:49.023008Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:e86eb313bc743c30b222765a085485ed7d5a35bfde41bacb12caeb93352d3969","observation_id":"47bf6fd4-7a19-4109-9363-8337d42b0124","resolution":{"observed_at":"2026-08-03T06:26:49.023008Z","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":"2026-08-03T06:26:49.099373Z","title":"F., Silva, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:49.099373Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:a853129d738381cbd4ecc676ac157b8199e43983e69610664468444d52b65b41","observation_id":"1b18fc36-1e87-4179-8aa8-4e5bad3a7bd8","resolution":{"observed_at":"2026-08-03T06:26:49.099373Z","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":"2026-08-03T06:26:49.176956Z","title":"F., Silva, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:49.176956Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:70816d6528d75b8891f8e01605d373c1394bf06d22c7a4b1aec6993e14030832","observation_id":"0762bf2b-b05d-4b0b-931a-54c1d191f1c4","resolution":{"observed_at":"2026-08-03T06:26:49.176956Z","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":"2026-08-03T06:26:49.233516Z","title":"F., Silva, M","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:49.233516Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:c43c12553019ad19854096998a398397a0505728e259434e91d1ee75dc5102be","observation_id":"927a2b3b-9e6c-4c32-96e6-2278bdaafae0","resolution":{"observed_at":"2026-08-03T06:26:49.233516Z","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":"2026-08-03T06:26:49.316061Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:49.316061Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:6c3a5ba4f6df63bd1e528fbb89d9d2deeeaf610bf54f1a55620213aa1fc741c2","observation_id":"11325f05-b4a3-41fb-91f8-1aa5ed67b5f7","resolution":{"observed_at":"2026-08-03T06:26:49.316061Z","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":"2026-08-03T06:26:49.378618Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-03T06:26:49.378618Z"},"links":{"citing_paper":"/paper/2601.22879"},"observation_digest":"sha256:da16225e8d0ec833aa167e2b7617fde70b8c44502a8407033d33df2b936d8f82","observation_id":"6897145a-d4cf-49f1-a4c6-4dc742977a19","resolution":{"observed_at":"2026-08-03T06:26:49.378618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.22879","last_updated":"2026-07-07T22:16:38Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-20T13:16:28.325954Z","submitted_at":"2026-01-30T12:01:50Z","title":"Synthetic Time Series Generation via Complex Networks"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":32},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2601.22879."}