{"as_of":"2026-08-21T08:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f13a8b81cab3fc92e4b5b060444b7d614957fb97d7022e2ebf10e9fc70f4d7a3","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:57:07.092964Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2608.03087/citation-record","integrity":"/paper/2608.03087/integrity","json":"/paper/2608.03087/citation-record.json","paper":"/paper/2608.03087"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:57:08.069732Z","title":null,"venue":null,"work_id":"04ce50a2-07c5-4f4b-a09b-ab1830821d4b","year":2021},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.849387Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:79b39043f80ff5da705d16a850755738c5cca6dc3abc1d60e1854c7e14c039d7","observation_id":"12496d4c-a59c-460e-98c5-3e732e381749","resolution":{"observed_at":"2026-08-15T14:57:08.073519Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:08.057122Z","title":null,"venue":null,"work_id":"a2827883-c728-40c7-9bb0-957ab1e44861","year":2022},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.853922Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:2ba9c012be955266d995af42d4746915ec3bcd1eda9758b360ab113eca35e6a2","observation_id":"7646c4cd-bab2-4176-b49e-9068663c565c","resolution":{"observed_at":"2026-08-15T14:57:08.061311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03755","last_updated":"2023-12-07T13:42:53Z","snapshot_observed_at":"2026-08-19T18:01:22.134867Z","submitted_at":"2023-09-07T14:51:42Z","title":"TSGBench: Time Series Generation Benchmark","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.03755","snapshot_observed_at":"2026-08-15T14:57:06.857779Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.857779Z"},"links":{"cited_paper":"/paper/2309.03755","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:b23af3129787fe026f19c0d1d75896fd0a8b0fce0cc20b07a2b94e0b19711e7d","observation_id":"7cab83d1-0aeb-4e10-a3d6-ebfa649ea196","resolution":{"observed_at":"2026-08-15T14:57:06.857779Z","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":"2026-08-15T14:57:08.043732Z","title":null,"venue":null,"work_id":"137c5e59-b144-4b52-b6b8-ddb6b7042a68","year":2019},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.862499Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:c5bba352e98bd96d32300f6242269dee7700db3e0f9120c6d7c7014f74cd6f26","observation_id":"ae17b641-6086-491b-8eb3-534ac1479e46","resolution":{"observed_at":"2026-08-15T14:57:08.048314Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.06450","last_updated":"2016-07-21T19:57:52Z","snapshot_observed_at":"2026-08-15T04:53:45.483331Z","submitted_at":"2016-07-21T19:57:52Z","title":"Layer Normalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.06450","snapshot_observed_at":"2026-08-15T14:57:06.866377Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.866377Z"},"links":{"cited_paper":"/paper/1607.06450","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:28385042ffd47be514a0db6d9334d4fd024db5dfe8020b730472a0211eebb964","observation_id":"ad6e214f-5cae-4c74-b5a3-f3f549353a56","resolution":{"observed_at":"2026-08-15T14:57:06.866377Z","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":"2026-08-15T14:57:08.028751Z","title":null,"venue":null,"work_id":"08efbc25-0e00-411c-a1cb-0b6bbd9ba827","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.870865Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:2c5e9f948c34c95e845bb9a8e0e3348277f30bd7acdc5812e38b797e6b8f0437","observation_id":"7345f5c9-7e93-4289-b982-a06795750191","resolution":{"observed_at":"2026-08-15T14:57:08.035548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:08.015364Z","title":null,"venue":null,"work_id":"cf2d057b-af77-49f6-8f1d-76db3925a551","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.875199Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:e47a99bae59c02eaef0dd4c0789d542ec745cf31acb2c729a5e9c14d37008b63","observation_id":"3146302e-a043-49ca-990c-8d7e3eb61cbb","resolution":{"observed_at":"2026-08-15T14:57:08.019894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:08.001901Z","title":null,"venue":null,"work_id":"be1f4155-904c-40ad-9b46-13848dd2eb66","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.879027Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:d59a7455c4d9edade32827dbcba103ea6796099e222ab0264dd17b06bae9075f","observation_id":"1c43c704-b896-49e7-aae0-3d46890ff2b0","resolution":{"observed_at":"2026-08-15T14:57:08.006088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.02362","last_updated":"2025-06-03T01:37:09Z","snapshot_observed_at":"2026-08-20T22:17:30.569508Z","submitted_at":"2025-06-03T01:37:09Z","title":"MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.02362","snapshot_observed_at":"2026-08-15T14:57:06.882841Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.882841Z"},"links":{"cited_paper":"/paper/2506.02362","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:85dc8d028cca3aacdc8848f0ea04e90d693a8e5cfbcf0dd2921a606519912390","observation_id":"9748fb04-fdae-4f6d-8361-e4a3c70caed8","resolution":{"observed_at":"2026-08-15T14:57:06.882841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.08095","last_updated":"2021-12-07T09:00:04Z","snapshot_observed_at":"2026-08-16T17:41:38.448202Z","submitted_at":"2021-11-15T21:42:14Z","title":"TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.08095","snapshot_observed_at":"2026-08-15T14:57:06.887698Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.887698Z"},"links":{"cited_paper":"/paper/2111.08095","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:5deaa517368b6db93353d02c3f3788a920491cfa803f4ce15603720e17fa19f1","observation_id":"8519c106-f9a1-45c1-9cb1-0644a01bcf84","resolution":{"observed_at":"2026-08-15T14:57:06.887698Z","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":"2026-08-15T14:57:07.989982Z","title":null,"venue":null,"work_id":"109fc83c-1148-46af-af6a-536051f7b53c","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.892407Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:b9d7072ffd37f72d49d9bddba5a8be47c73095c3d4564162ec123c9a6e160450","observation_id":"00ce9d95-af7d-4fae-8958-814300d9a038","resolution":{"observed_at":"2026-08-15T14:57:07.993707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.977653Z","title":"2013.Modelling extremal events: for insurance and finance","venue":null,"work_id":"ac8bf4e7-5cd5-442a-a2b6-1e506e044d75","year":2013},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.897282Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:30b6d4004a9a4e6e68c925e5982e73b2503dac841659b97709c2bc8191e48d69","observation_id":"26b38ea1-24a7-497c-b0e1-431f20846656","resolution":{"observed_at":"2026-08-15T14:57:07.982115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02633","last_updated":"2017-12-04T04:31:38Z","snapshot_observed_at":"2026-08-15T07:55:49.132775Z","submitted_at":"2017-06-08T15:19:02Z","title":"Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02633","snapshot_observed_at":"2026-08-15T14:57:06.901048Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.901048Z"},"links":{"cited_paper":"/paper/1706.02633","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:7aed77c78b362bafa0346ddff9398d7cb15485e38dd2065483745285e55f9cd5","observation_id":"5c253033-62cb-43d6-91ec-6d1b46761574","resolution":{"observed_at":"2026-08-15T14:57:06.901048Z","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":"2026-08-15T14:57:07.963287Z","title":null,"venue":null,"work_id":"555e7bed-8320-4e14-8a0a-c77f93fa0939","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.905263Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:81444d651a53c1f78816d7a6a79f86e0aa85e44538d1dd665e503a18de18ff49","observation_id":"afebb5ab-4d3c-4113-a467-b345d224274f","resolution":{"observed_at":"2026-08-15T14:57:07.968305Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.950358Z","title":null,"venue":null,"work_id":"cf6e4b00-727c-4a67-9340-b26b4495fde1","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.908923Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:4cb0ab4654492fe79f3f544e024c58d515c1c176f959d7076e6613ee429e32fc","observation_id":"6e3c7a06-7507-4a2c-8545-752d5eb2ed5e","resolution":{"observed_at":"2026-08-15T14:57:07.954340Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14426","last_updated":"2025-01-28T11:22:15Z","snapshot_observed_at":"2026-08-16T12:58:41.552514Z","submitted_at":"2025-01-24T11:52:52Z","title":"CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios","version":3},"cited_work":{"arxiv_id":"2501.14426","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.14426","snapshot_observed_at":"2026-08-15T14:57:07.460504Z","title":"CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios","venue":"cs.LG","work_id":"ae66dd71-93e7-46ff-a011-babe80accbf2","year":2025},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.912808Z"},"links":{"cited_paper":"/paper/2501.14426","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:f5172e8b83db94ae2aa9b474c21a40d58fe6d8b25c0e1f28dc6f7da551d1729c","observation_id":"130475e3-21ed-4712-b8cf-eb6e07cc268e","resolution":{"observed_at":"2026-08-15T14:57:07.465493Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.938624Z","title":null,"venue":null,"work_id":"3c1ad036-aa98-4e54-949a-cd5170554d2e","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.917033Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:5066dd22281b85b91d4b1ec3e19fabcc3ff38716864175f2e440678b692ff566","observation_id":"a838e519-5138-4b60-b758-95622c542019","resolution":{"observed_at":"2026-08-15T14:57:07.942350Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.926943Z","title":null,"venue":null,"work_id":"a94f01bd-817e-4911-b3a7-9eeae5361469","year":2022},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.921321Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:4afb293eb1e091bc13f5ecffc3c6caef08908afa4e2442632ae3d169ba3a08db","observation_id":"e15f228a-269b-4369-b62f-41537f4648a8","resolution":{"observed_at":"2026-08-15T14:57:07.930732Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.914518Z","title":null,"venue":null,"work_id":"ac89413a-5ac9-4f4a-8a29-26fddd185d7b","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.926250Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:3ddeaa4f0066238917793ce454eed929cfca7345b5584a29605da69aa296f1be","observation_id":"a36acf26-4669-4e0e-95c8-15ddf0e2e712","resolution":{"observed_at":"2026-08-15T14:57:07.918623Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.01634","last_updated":"2026-08-04T04:16:09Z","snapshot_observed_at":"2026-08-13T04:59:09.582399Z","submitted_at":"2026-06-01T03:35:32Z","title":"E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation","version":2},"cited_work":{"arxiv_id":"2606.01634","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.01634","snapshot_observed_at":"2026-08-15T14:57:07.442480Z","title":"E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation","venue":"cs.LG","work_id":"acf05c54-8de1-4cdf-b0d9-7753ce582876","year":2026},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.930324Z"},"links":{"cited_paper":"/paper/2606.01634","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:624e10a6778caa6842e11dc295706acdb9e499299a73f15b08398c637a7ea82e","observation_id":"ebfab466-5346-49aa-9ef7-af44aac4dfd2","resolution":{"observed_at":"2026-08-15T14:57:07.447937Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.900783Z","title":null,"venue":null,"work_id":"35d6c419-4c86-4850-9434-5245a716767c","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.934479Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:1257a649aa32562c6f30c4d13f2c761a4e1637f6ee6f7353233e32450d06838b","observation_id":"f7f18730-c6d8-4125-b5ec-62d0ffd1f2aa","resolution":{"observed_at":"2026-08-15T14:57:07.905597Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:06.938161Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.938161Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:31c84307c0df23def26757f6e76a68c81e4b4af1d5348f22d7e965a9fa350887","observation_id":"9b987895-d506-444b-8fe5-a459a52de79c","resolution":{"observed_at":"2026-08-15T14:57:06.938161Z","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":"2026-08-15T14:57:07.880987Z","title":null,"venue":null,"work_id":"7abeebf0-819c-475a-a788-82a3dd8c9abd","year":2021},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.941856Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:a7713c4dde3728dce3164fd9f9ea7fdbd05f7ef40aef8cd49d571886dcbea72e","observation_id":"f5642c9b-251b-4bd0-919f-60a123ba0660","resolution":{"observed_at":"2026-08-15T14:57:07.884949Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.28178","last_updated":"2026-04-30T17:57:12Z","snapshot_observed_at":"2026-08-15T16:36:21.095630Z","submitted_at":"2026-04-30T17:57:12Z","title":"LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.28178","snapshot_observed_at":"2026-08-15T14:57:06.945564Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.945564Z"},"links":{"cited_paper":"/paper/2604.28178","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:810619470e474c16235842f2df97605f7dfbaac0be4c5dfe648b411724d9a69d","observation_id":"2dc7b5c1-565d-4826-8a12-ff9668a8c2d9","resolution":{"observed_at":"2026-08-15T14:57:06.945564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2607.14314","last_updated":"2026-07-15T19:20:29Z","snapshot_observed_at":"2026-08-21T02:56:32.682726Z","submitted_at":"2026-07-15T19:20:29Z","title":"NeuroGRIP: Retrieval-Augmented Graph Refinement for Knowledge-Grounded EEG Seizure Diagnosis","version":1},"cited_work":{"arxiv_id":"2607.14314","doi":null,"metadata_source":"pith","pith_arxiv_id":"2607.14314","snapshot_observed_at":"2026-08-15T14:57:07.413601Z","title":"NeuroGRIP: Retrieval-Augmented Graph Refinement for Knowledge-Grounded EEG Seizure Diagnosis","venue":"cs.LG","work_id":"3dba5f7b-9766-43e1-a2b2-712a33dd0b85","year":2026},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.949816Z"},"links":{"cited_paper":"/paper/2607.14314","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:2a986cedca90865e0db59377fd8c805b49e79d4755214d9f35e13bf4f4cfcb45","observation_id":"bcb0edea-ee8f-4914-9b30-29c8b82aaa57","resolution":{"observed_at":"2026-08-15T14:57:07.417820Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.868934Z","title":null,"venue":null,"work_id":"b8813f3e-adda-49cd-80a7-5d7d1a1295d2","year":2026},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.954073Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:9d7358211c324f91cb1baa9e3bc40a310f9b5cac577678696e79397ad658625f","observation_id":"2d1af753-ee31-489f-8a5e-a9d76bf7868b","resolution":{"observed_at":"2026-08-15T14:57:07.872694Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.856908Z","title":null,"venue":null,"work_id":"b5f7198f-41fe-4bce-a2ec-ab833f75b900","year":2025},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.958079Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:61be22fdf271d1f161e54fc4e1ed2320fdf2796a3a15047578b1071f9d676f47","observation_id":"b7da695d-3ea9-4d84-8d64-2a1b2f06ccd2","resolution":{"observed_at":"2026-08-15T14:57:07.860851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.845226Z","title":null,"venue":null,"work_id":"127ac51d-4aad-4ef1-98b5-d439f9363f92","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.962562Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:d51cb14ac34c70be8df1946296e61f528727f21c8b7bc39379e63c593b11bb85","observation_id":"a7d14317-4e0c-4063-a81f-9c28e50748bc","resolution":{"observed_at":"2026-08-15T14:57:07.849156Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.834660Z","title":null,"venue":null,"work_id":"fb24856c-e9ce-492b-92cd-eb59a8d9110c","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.966222Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:a2378bbef51cb2736ad1fb11aa580c21e6de0e7bfbb7a6a521ad79e80856e3e0","observation_id":"da4714db-7161-4f10-94b9-d6c1fcf0e006","resolution":{"observed_at":"2026-08-15T14:57:07.838096Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:06.970374Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.970374Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:97d64b2af64f25b89aee4440725cb5c2bc2a498cb45464fc8d5df58d57bbd48e","observation_id":"587b25aa-a699-4465-a7f5-118a61b0e784","resolution":{"observed_at":"2026-08-15T14:57:06.970374Z","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":"2026-08-15T14:57:07.823364Z","title":null,"venue":null,"work_id":"965761cb-aed9-49d1-b876-f3f495658be5","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.973954Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:1e4784a1da465c0342b468419b31fede3fb602d8793a0f8d7e133ddc506ff436","observation_id":"401621c6-db20-47ef-abbc-a38c0af717e2","resolution":{"observed_at":"2026-08-15T14:57:07.827459Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.811140Z","title":null,"venue":null,"work_id":"1b633b7c-a86a-4982-a16c-db87a7285349","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.977938Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:55808a79262eaea1984f87665023b04d5988ee978365cb951e5a2c5a1ca15ea5","observation_id":"77019907-52cd-4197-ae90-4895df597a83","resolution":{"observed_at":"2026-08-15T14:57:07.815024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.798427Z","title":null,"venue":null,"work_id":"59230393-6b08-46fd-af19-8cf4adaee382","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.981374Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:33cd8294a0b31092422d1346fa75d8f966a351d868b0fc237cd080a29b4afecb","observation_id":"883240e1-2df1-4ec0-be7a-38d0421eb68c","resolution":{"observed_at":"2026-08-15T14:57:07.803122Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.785625Z","title":null,"venue":null,"work_id":"0bd37cd0-c1c9-416b-9942-8d6a7b95fd93","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.985135Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:f818a52a32da78eacd03ad4413d3105ff06049ebb62a941784409e19cd1e3b9f","observation_id":"bae9566c-f3f5-4cbe-a7cc-c1f7c895e07e","resolution":{"observed_at":"2026-08-15T14:57:07.789763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.773083Z","title":"Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio","venue":null,"work_id":"dac0ec3d-4131-49ad-9724-19f1b1df3c91","year":2020},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.988962Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:12dd71bc3356fe94c619cac2073481995587f144d2d33dacfd12611b80627585","observation_id":"bed1ebd3-cc19-4d9a-bc49-688e652532ea","resolution":{"observed_at":"2026-08-15T14:57:07.777287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.760585Z","title":null,"venue":null,"work_id":"22c0905e-29c1-4741-b159-3b4f735afcf6","year":2025},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.993843Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:34b011cf14a2835f00fbb833726b551357cc63aad6982542c86cb0808272b040","observation_id":"f0c85d35-7e74-4e49-bf38-710bac8277d7","resolution":{"observed_at":"2026-08-15T14:57:07.764397Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:06.997709Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:06.997709Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:3dafb2397c555c37e5e3395029f050aaa54239dc87000471f93988de211a51c6","observation_id":"594d7936-daf8-4c14-968f-6d6196710e36","resolution":{"observed_at":"2026-08-15T14:57:06.997709Z","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":"2026-08-15T14:57:07.739679Z","title":null,"venue":null,"work_id":"0644e851-869a-401c-9db5-69855548e22f","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.001955Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:f578e54818ed22582a241b09f0c293d64dff4f064135952c47a20053f8b73dc5","observation_id":"c2ca69cb-54eb-47d9-9b59-da5ac7af0f19","resolution":{"observed_at":"2026-08-15T14:57:07.744572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.725801Z","title":null,"venue":null,"work_id":"3fb22b81-a73f-48c4-9d17-035db12843a0","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.006032Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:a9341a65a701db8fca8c998600b090e81fe8f95ebb8b50b1bd6cb7ac68bc43ac","observation_id":"fb07c4dc-83a7-4c34-a206-e2657063f432","resolution":{"observed_at":"2026-08-15T14:57:07.730884Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.714234Z","title":null,"venue":null,"work_id":"a6981056-191a-4b0c-a07e-a5828533e8c0","year":2025},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.010450Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:a64ee0197fb350778a0ed2cf32cbf9951ded941913de68a5b29586a0fdb2b4ab","observation_id":"f9023c6c-bbd6-42c2-8153-338b6b04d510","resolution":{"observed_at":"2026-08-15T14:57:07.718428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.702201Z","title":null,"venue":null,"work_id":"de0b0061-6073-4b3d-a5b4-d00676105b5b","year":2022},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.014579Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:9b499dbed62868d0ec11f998deec5f7bd915a57329c2d1528fc70b06677188a9","observation_id":"3c422c7d-3fdd-48b2-abbb-79f1602ef4b3","resolution":{"observed_at":"2026-08-15T14:57:07.706219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.688660Z","title":null,"venue":null,"work_id":"ac88a978-f8be-483e-a7cb-431ce17905db","year":null},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.019591Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:4b9963fa67d0304a684934a65f933f512f4c6eb8064974cad56938ef39f227b3","observation_id":"78bc0dc0-c854-4461-84e0-acb16befdb80","resolution":{"observed_at":"2026-08-15T14:57:07.692660Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.662135Z","title":null,"venue":null,"work_id":"45613200-df95-48f4-b581-2ec750c2ff0c","year":2025},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.028228Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:b75070e5cff14e3cb7154007d364e6a1b24588faf3f5afe016071c7350f20d47","observation_id":"b8d3fa86-dfea-423e-a2bd-b76bc5201b54","resolution":{"observed_at":"2026-08-15T14:57:07.666720Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.032227Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.032227Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:76fb1e427d5ae5bd60f8a20813dbc3f08787072fba791d3e169b43aec445a98f","observation_id":"33a3af9c-2fb7-4b1e-9151-93985f4ecee3","resolution":{"observed_at":"2026-08-15T14:57:07.032227Z","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":"2026-08-15T14:57:07.649563Z","title":null,"venue":null,"work_id":"2ba2cd0c-984b-49f3-8025-7dce6f6186b9","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.036211Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:df57de31740c6e80bb022020a06424722bd574ccee5ac1d5a361a8c7f15eee7d","observation_id":"a3c5b5b8-4caa-4026-ba11-93d29a534a8d","resolution":{"observed_at":"2026-08-15T14:57:07.653451Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.636421Z","title":"Census Bureau","venue":null,"work_id":"7551b577-ff65-4799-9165-e224e43d7f5e","year":2020},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.041863Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:9eb94e0fdc191bfde67ea741c226050684a053858b1ea427922dc8d7ff1e046b","observation_id":"1c372ed0-5f14-4989-b10b-c72e795fa7fa","resolution":{"observed_at":"2026-08-15T14:57:07.641467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.623401Z","title":null,"venue":null,"work_id":"5df9e63b-1f4e-4d85-b2a8-ece2229eadcf","year":2020},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.045911Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:e0e7d3a7ed652a30ec7383ceb85f1470afe04e756c1007d34c5c31a84645111a","observation_id":"5ce42a60-3a6f-4463-8587-5272a59613e8","resolution":{"observed_at":"2026-08-15T14:57:07.628394Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.049863Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.049863Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:9726412e775e13834bf36db00630bfbf1c520de76f2065ae400b0c4a55247acf","observation_id":"7da1e65f-8d14-4fb8-9c1b-c2aa718e9bbb","resolution":{"observed_at":"2026-08-15T14:57:07.049863Z","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":"2026-08-15T14:57:07.602215Z","title":null,"venue":null,"work_id":"d7d70d6c-189d-4a36-bb13-45ff5ca2b8f3","year":2025},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.053699Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:d67c8b6f8d7bfbd4147285664b24b5aa26d15ccd3cd800c4bd616055b498d4e7","observation_id":"2b641b7f-e57b-47c6-9218-31f6647003e6","resolution":{"observed_at":"2026-08-15T14:57:07.606284Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.589340Z","title":null,"venue":null,"work_id":"2a26cec8-b7f4-4853-8993-ec2f1cd77bb5","year":1968},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.057894Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:9e886275f5bb45f63f36206a39ce5bbe62f0513fab5fde9867d83de3e7e1d2b3","observation_id":"228c3414-16df-45a2-af61-5173696d80d5","resolution":{"observed_at":"2026-08-15T14:57:07.593629Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.576736Z","title":null,"venue":null,"work_id":"72a7ac63-1ec3-4875-9ad5-f95a4a8f397d","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.062217Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:ccdfc4a792fae89b14401d387a568f7080fbcd3e3f84ae11a92ef8a0596ae833","observation_id":"93da3e93-5411-4861-95c1-5bb277830daf","resolution":{"observed_at":"2026-08-15T14:57:07.580864Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.563790Z","title":null,"venue":null,"work_id":"b1e3490d-a31a-4279-b72a-d3b0fb22632f","year":2019},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.065807Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:db7235470a81bdcb379d6a46a1725deefe2d1fd15a61a43c3d3b11100e1a8963","observation_id":"b7585523-a75f-4612-9673-4df021578731","resolution":{"observed_at":"2026-08-15T14:57:07.568498Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.00506","last_updated":"2026-05-30T03:39:15Z","snapshot_observed_at":"2026-08-12T16:50:36.309973Z","submitted_at":"2026-05-30T03:39:15Z","title":"EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction","version":1},"cited_work":{"arxiv_id":"2606.00506","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.00506","snapshot_observed_at":"2026-08-15T14:57:07.267177Z","title":"EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction","venue":"cs.AI","work_id":"0cd06411-934d-417f-b6ae-91459d5cabda","year":2026},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.070024Z"},"links":{"cited_paper":"/paper/2606.00506","citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:c58e9f9d8471fbf7b1a33fa102bdd163d333c2885d4b5ac62e94b8ebd98a763f","observation_id":"da735842-1cab-47bd-b282-49ef32adfaff","resolution":{"observed_at":"2026-08-15T14:57:07.272544Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.078965Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.078965Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:7126265d432b3fa89c19e2823f7c3d1f5f3ec0c83c0358f25dcd89e4255a92d4","observation_id":"9d26e58c-3486-4d2b-b813-2d74cffcaad4","resolution":{"observed_at":"2026-08-15T14:57:07.078965Z","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":"2026-08-15T14:57:07.551282Z","title":null,"venue":null,"work_id":"872128c1-4744-4dfb-8e8e-c1d7e52bcae9","year":2023},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.083632Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:144ee94180e3db4dd2c775940885fecb6d604d9b7f0911af414013c5586d565c","observation_id":"dbea054c-d93f-470d-952f-7fb0539f0ecf","resolution":{"observed_at":"2026-08-15T14:57:07.555353Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.537607Z","title":null,"venue":null,"work_id":"5122ba10-1097-46e2-833d-629bbe371f2e","year":2024},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.088619Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:6b3ed9b87d0e4834edb48548068857229b6facb3be96aaeadc74a745a254b9cb","observation_id":"52c81c69-43a1-423d-bf4e-0df7a65081d0","resolution":{"observed_at":"2026-08-15T14:57:07.541824Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3750.13450","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:57:07.245409Z","title":null,"venue":null,"work_id":"7317e784-0032-47fe-adb5-8383f1d68bac","year":2022},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.092964Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:3ebea59b6961be57fec8fe17bb8a38488262fc9000cbff7aef7740838b107ce3","observation_id":"6f092283-ed7b-4389-8be8-fea7a84d8c68","resolution":{"observed_at":"2026-08-15T14:57:07.254442Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T14:57:07.675752Z","title":"InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"7fc5ad37-7842-4f0b-b99b-2c48e55fdb7f","year":null},"citing_paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T14:57:07.023915Z"},"links":{"citing_paper":"/paper/2608.03087"},"observation_digest":"sha256:1166113628a051c2b89a8e1ca26a28204100bde11d5e475b069e32c7f4cf4689","observation_id":"3a2082bc-f448-4ca8-9b8c-d45f67358402","resolution":{"observed_at":"2026-08-15T14:57:07.679757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.03087","last_updated":"2026-08-04T04:00:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T14:25:41.962291Z","submitted_at":"2026-08-04T04:00:10Z","title":"SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":49,"verified_exact":4,"verified_fuzzy":4},"total_outbound_references":58},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2608.03087."}