{"as_of":"2026-08-11T17:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e71843f6ca64334adea1159f2ae12bc1e9e5a21b7feb77f5e8693abd75ed1ce0","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:44:56.810453Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2501.07423/citation-record","integrity":"/paper/2501.07423/integrity","json":"/paper/2501.07423/citation-record.json","paper":"/paper/2501.07423"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:44:57.113448Z","title":"Year-end data: Electricity demand in ontario,","venue":null,"work_id":"302ebb08-ae7d-45bf-885a-634644520263","year":2021},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.729281Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:1bbf6b95482daea50cd72edbd004d7a0d2aa374cb8562804bc80cc905b1ae3e9","observation_id":"26bacac5-1670-48c9-ac3b-23b576f5011a","resolution":{"observed_at":"2026-08-10T20:44:57.118350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:57.097203Z","title":"(2013) World energy scenarios: Composing energy futures to 2050 - executive summary","venue":null,"work_id":"d48842fa-247b-4988-84ba-bf51a2b66492","year":2013},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.734843Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:0efaf102ef050a11c45cb3afcf41489c05d74449e13ff4ce39895124a1398632","observation_id":"f1c4ec92-8f60-4abc-b85a-9959febb472f","resolution":{"observed_at":"2026-08-10T20:44:57.102549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:57.080141Z","title":"Vegh and I","venue":null,"work_id":"537d5f20-d462-489b-9e0f-50e195606675","year":2021},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.739958Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:003832a6cd519c60c9fbae3a01badca7e4905cb499809643581ba593d5b8ea1e","observation_id":"bce454eb-d883-4207-a20e-e00c9888311e","resolution":{"observed_at":"2026-08-10T20:44:57.085673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:57.061805Z","title":"The impact of covid-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of qatar,","venue":null,"work_id":"30831d05-010c-4547-898d-5d2fa05669df","year":2022},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.745181Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:9cfbf8dce4e8d480937a4b955027e09825442db87de7da4f1a9fa99aedc34b8e","observation_id":"4ffcf9d9-cce3-4883-a33c-e3f34930198e","resolution":{"observed_at":"2026-08-10T20:44:57.067749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10437","last_updated":"2020-02-20T21:08:57Z","snapshot_observed_at":"2026-08-10T10:26:03.789478Z","submitted_at":"2019-05-24T20:28:57Z","title":"N-BEATS: Neural basis expansion analysis for interpretable time series forecasting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.10437","snapshot_observed_at":"2026-08-10T20:44:56.750413Z","title":"N-beats: Neu- ral basis expansion analysis for interpretable time series forecasting,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.750413Z"},"links":{"cited_paper":"/paper/1905.10437","citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:cfac790b3d02465c40befdf94f280f7c9b14328849fa1c9903c01a51668353d1","observation_id":"dfc7465f-d0a0-4917-9e84-c4ce15b83d2e","resolution":{"observed_at":"2026-08-10T20:44:56.750413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.12436","last_updated":"2019-11-27T21:47:59Z","snapshot_observed_at":"2026-07-06T08:40:31.280552Z","submitted_at":"2019-11-27T21:47:59Z","title":"AR-Net: A simple Auto-Regressive Neural Network for time-series","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.12436","snapshot_observed_at":"2026-08-10T20:44:56.756274Z","title":"Ar-net: A simple auto-regressive neural network for time-series,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.756274Z"},"links":{"cited_paper":"/paper/1911.12436","citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:bdb59a65e84c32978e7a368669fbef0e7e1ec43f9340a719ba67383654870c2c","observation_id":"99d3eeb8-29b3-4f99-a1a2-67a0ca9a1106","resolution":{"observed_at":"2026-08-10T20:44:56.756274Z","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":"2026-08-10T20:44:57.045701Z","title":"Temporal convolutional networks applied to energy-related time series forecasting,","venue":null,"work_id":"95cc3647-588f-49a8-b4d7-4fe9fd746977","year":2020},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.762510Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:3774e2c8f1e365fb703852eeeda781459d17f279f2297e5f504eacdfa659217d","observation_id":"b2df623a-737d-455c-bc6b-4134fbdf20e6","resolution":{"observed_at":"2026-08-10T20:44:57.050803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:57.010312Z","title":"Minirocket: A very fast (almost) deterministic transform for time series classification,","venue":null,"work_id":"8851a972-b735-4a6b-8608-cbee56041747","year":2021},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.767493Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:d7bc314bab92d17c3b7f4bab26b771e24b9f20d23e3bc36cd769e28f0f4da2af","observation_id":"14b84fc6-0bb0-41c4-8c07-b23c4424058c","resolution":{"observed_at":"2026-08-10T20:44:57.015402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:56.993833Z","title":"Forecasting methods in energy planning models,","venue":null,"work_id":"c5350e45-7ee5-446d-a153-2f2adc55aec2","year":2018},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.772398Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:363251b403f822cce1fdcd24cd530870ebadda3592999d9a972c79e522d53c34","observation_id":"5bfad0e1-174a-4a92-bdcd-684975cc9e98","resolution":{"observed_at":"2026-08-10T20:44:56.999683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:56.978308Z","title":"Survey on renewable energy forecasting using different techniques,","venue":null,"work_id":"05640c6c-35c4-4c60-b5a8-bc413bd981e8","year":2019},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.777007Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:d1c13cec54522df55e256ea2f6ab5943868593bb63d605ff8b28117518fea263","observation_id":"3547d3a9-549d-4e34-993c-0db8155d4b89","resolution":{"observed_at":"2026-08-10T20:44:56.983375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:56.781945Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.781945Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:909c6650e45f24506008c3c964d0ac44d6a8bb84e4498bf712aa5ce7cb9e6e8c","observation_id":"e150c5b0-7332-4a72-8074-56935e1bf59e","resolution":{"observed_at":"2026-08-10T20:44:56.781945Z","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":"2026-08-10T20:44:56.786735Z","title":"Transformer-based model for electrical load forecasting,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.786735Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:b54396907f9b410a03ae9f91cde6ef1d71ef9417253abf2f54c2dd81f6cad536","observation_id":"505bf6e1-910a-4bc4-8a9f-e55e5d2d7b4d","resolution":{"observed_at":"2026-08-10T20:44:56.786735Z","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":"2026-08-10T20:44:56.940615Z","title":"A hybrid prediction model based on pattern sequence-based matching method and extreme gradient boosting for holiday load forecasting,","venue":null,"work_id":"951b3d74-961f-4873-8e0d-a4a59b469384","year":2021},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.791385Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:a933efc207f2a079655ad8787cffb087ca7255731f8c734ccafe0dfd5f4895cb","observation_id":"a9c9f3a2-89f4-49e9-84c4-622e778c5985","resolution":{"observed_at":"2026-08-10T20:44:56.945680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:56.925173Z","title":"Tsfel: Time series feature extrac- tion library,","venue":null,"work_id":"9fe54ca2-bedc-4114-890d-cdd6e8ee0252","year":2020},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.796324Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:d31568bbea3badb94f6f9dd30e5c1b2369ddbc8c1a5b82bbc67812d675540606","observation_id":"9acc2083-1053-42d6-a97f-03b2e747fb4d","resolution":{"observed_at":"2026-08-10T20:44:56.930126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:56.909284Z","title":"Time series feature extraction for data mining using dwt and dft,","venue":null,"work_id":"c2fe3be9-67ff-4779-9c81-7b8e30d94b89","year":2003},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.800985Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:9422eaf46dc29181ea520a7c03345f993835d11b75064a2ceb07b5fcad4927eb","observation_id":"065f1f13-4117-4b65-9f1a-e36ea4dc4a56","resolution":{"observed_at":"2026-08-10T20:44:56.914201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:56.893267Z","title":"Residential load profile clustering via deep convolutional autoencoder,","venue":null,"work_id":"5f13f0e2-8960-45a5-8122-85303443e8b7","year":2018},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.805910Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:c42bfdf51a583c39b34cac4364b76171f07f03e6d3b6be44532f922e18ad750d","observation_id":"684dc42c-ed8d-4a14-9b0a-efeeac626c33","resolution":{"observed_at":"2026-08-10T20:44:56.898450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:44:56.873943Z","title":"A novel deep learning architecture and minirocket feature extraction method for human activity recognition using ecg, ppg and inertial sensor dataset,","venue":null,"work_id":"e97fb55b-a037-4321-b5ef-4c1d75ec13d8","year":2023},"citing_paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:44:56.810453Z"},"links":{"citing_paper":"/paper/2501.07423"},"observation_digest":"sha256:d8ad037d1ec3cdba2c682ebcd4037d7e67a66f8852c4fd40618b380b340d9d78","observation_id":"57e865a4-c278-4acf-8ddd-323b81d86f70","resolution":{"observed_at":"2026-08-10T20:44:56.881475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.07423","last_updated":"2025-06-29T17:12:47Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T20:40:09.596999Z","submitted_at":"2025-01-13T15:43:22Z","title":"An Investigation into Seasonal Variations in Energy Forecasting for Student Residences"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":17},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.07423."}