{"as_of":"2026-08-23T14:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6982e6f262ae33d094976fdea8868c0b82f4ec5468613948e89b6fba5aff3e61","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T09:21:18.464723Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2601.14233/citation-record","integrity":"/paper/2601.14233/integrity","json":"/paper/2601.14233/citation-record.json","paper":"/paper/2601.14233"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T09:21:17.282652Z","title":"A key 6G challenge and opportu- nity—connecting the base of the pyramid: A survey on rural connectiv- ity,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.282652Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:0e65c6debbecf1dae681b7b1f9f8fd1bd3cab299de2a9d864790ae4be6ab6b5a","observation_id":"20ec84e0-c997-45b0-94a9-1dca99ff6122","resolution":{"observed_at":"2026-08-03T09:21:17.282652Z","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":"2026-08-03T09:21:17.319535Z","title":"Evolution of high-throughput satellite systems: A vision of programmable regenerative payload,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.319535Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:38a632dc4a9276f110fa27448bbf18efb6f2282823e9aa320cb3cad88cea6d67","observation_id":"afb5d0da-f731-4594-a4bd-13363573c39e","resolution":{"observed_at":"2026-08-03T09:21:17.319535Z","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":"2026-08-03T09:21:17.402258Z","title":"Evolution of non-terrestrial networks from 5g to 6g: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.402258Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:6d35d71588110708dd37ccfacec337170ce2f23be25473ae3f5d5563c5794546","observation_id":"3b3c05fc-29c7-410e-9c59-a9baadba905d","resolution":{"observed_at":"2026-08-03T09:21:17.402258Z","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":"2026-08-03T09:21:17.459403Z","title":"Forecasting self-similar user traffic demand using transformers in LEO satellite networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.459403Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:3eacad3bf126d5da65099aca4a021be8a5a1bbf34dc03bd196c51bc3f2ded6f4","observation_id":"729aaf7d-cfe0-4c70-b0bf-667e78f7505e","resolution":{"observed_at":"2026-08-03T09:21:17.459403Z","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":"2026-08-03T09:21:17.518591Z","title":"Real-time spread burst detection in data streaming,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.518591Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:441ea47e2c4ca5e65093d8b01692b59b1b46532b3a30d871f0000ceebba11885","observation_id":"10112af3-3174-4c93-9f5e-cfc87a0fee42","resolution":{"observed_at":"2026-08-03T09:21:17.518591Z","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":"2026-08-03T09:21:17.552855Z","title":"Burstdetector: Real-time and accurate across-period burst detection in high-speed networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.552855Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:bd0eaf6d749e4d48bbc46490f9fe5d82b9a238e44452a203ba060e22112050a7","observation_id":"bec79e60-707c-49ac-ad84-fd3ba75a547a","resolution":{"observed_at":"2026-08-03T09:21:17.552855Z","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":"2026-08-03T09:21:17.619783Z","title":"Unlocking the potential of deep learning in peak-hour series forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.619783Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:a193ce418fb4a91618d8011f32be3068b233a1924304050710ddf7eb3c1c3d17","observation_id":"adfb9410-3ee3-4a26-835f-81cd75eb256c","resolution":{"observed_at":"2026-08-03T09:21:17.619783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.10349","last_updated":"2025-07-14T14:51:24Z","snapshot_observed_at":"2026-08-18T14:37:16.713921Z","submitted_at":"2025-07-14T14:51:24Z","title":"TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.10349","snapshot_observed_at":"2026-08-03T09:21:17.688776Z","title":"TAT: Temporal-aligned transformer for multi-horizon peak demand forecasting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.688776Z"},"links":{"cited_paper":"/paper/2507.10349","citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:84a535468f31c646d999c54c4e8250d15004e5b9e7596f8ea59bdabcf5c04a7f","observation_id":"e75fbefa-ce01-4efc-82a1-4779dea27dba","resolution":{"observed_at":"2026-08-03T09:21:17.688776Z","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":"2026-08-03T09:21:17.765048Z","title":"Modeling extreme events in time series prediction,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.765048Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:0bb93bd1ce13c0f89854d57062cd9d7c93b31c0c5f517946651b93ae0e95f212","observation_id":"2e9be7a0-3bbf-4c2d-8408-792b895cb8b7","resolution":{"observed_at":"2026-08-03T09:21:17.765048Z","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":"2026-08-03T09:21:17.825432Z","title":"Simple algorithms for peak detection in time-series,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.825432Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:660ee742042d8f5e9deaa0522dee6196fe2760086a48c8a16be7d8b61e5b544f","observation_id":"bfb51235-0c2e-4573-825b-f00d54f50012","resolution":{"observed_at":"2026-08-03T09:21:17.825432Z","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":"2026-08-03T09:21:17.877869Z","title":"On the self-similar nature of Ethernet traffic (extended version),","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.877869Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:527d2f7b9a7107d5aee6c39d5e795f98ec036a1cb39bb7cf60e337c0d2bcfb9d","observation_id":"90cee427-9110-4b1c-8754-c087cdf96e28","resolution":{"observed_at":"2026-08-03T09:21:17.877869Z","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":"2026-08-03T09:21:17.937784Z","title":"Wide area traffic: the failure of poisson modeling,","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:17.937784Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:86d10c4c49823238b24561f80e9f6921bf43539e51a3795639820cbcecf2c8c8","observation_id":"290e5010-33f2-4beb-9e84-4aca65fabfbb","resolution":{"observed_at":"2026-08-03T09:21:17.937784Z","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":"2026-08-03T09:21:18.045451Z","title":"Self-similarity in world wide web traffic: evidence and possible causes,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:18.045451Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:42a9dc3d6671611b4222caf00e7c4a061c0a1bb2875a635987b2e43b212a8b00","observation_id":"39fd4895-9922-4df0-a2de-b43d2f69b407","resolution":{"observed_at":"2026-08-03T09:21:18.045451Z","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":"2026-08-03T09:21:18.107171Z","title":"Proof of a fundamental result in self-similar traffic modeling,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:18.107171Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:727ab7a19d00ddf0ccd0d5d57929035381550daf58d727863a68bb9f4fafec8d","observation_id":"7c744781-db7e-4fc4-8368-13f1409d226c","resolution":{"observed_at":"2026-08-03T09:21:18.107171Z","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":"2026-08-03T09:21:18.163587Z","title":"Beran, Y","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:18.163587Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:2d3445447702d436c786eb80497021ec4599c83bb92217f8dfe86f2951db8deb","observation_id":"cbcf526f-97bd-4a7d-8134-5ef3dcca3622","resolution":{"observed_at":"2026-08-03T09:21:18.163587Z","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":"2026-08-03T09:21:18.228182Z","title":"A large comparison of normalization methods on time series,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:18.228182Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:8c29a56daad0c5d92aebc37ee6822d6bec537efbc84932aefbf287cb64c750e6","observation_id":"f6158f79-31b8-407c-8cc7-ff77b1bfbd6b","resolution":{"observed_at":"2026-08-03T09:21:18.228182Z","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":"2026-08-03T09:21:18.311683Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:18.311683Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:4e010aabd52ceb0a1f7254bd4c84502eabaa08f67121184abe123362d4172c17","observation_id":"7f206d74-9be2-4ab3-9a8e-aaab91c006d1","resolution":{"observed_at":"2026-08-03T09:21:18.311683Z","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":"2026-08-03T09:21:18.388956Z","title":"Statsmodels: econometric and statistical modeling with python","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:18.388956Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:188b14c3d8041ce5d2694cbc60fa06c7d22a92ffc4b06bc56c607573be8c1ef1","observation_id":"344d95dd-5913-470e-9c86-275823344e41","resolution":{"observed_at":"2026-08-03T09:21:18.388956Z","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":"2026-08-03T09:21:18.464723Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:18.464723Z"},"links":{"citing_paper":"/paper/2601.14233"},"observation_digest":"sha256:c725fa0e450a1bb48c16ee413e9986ec096c4d563fffa8641ea6db16118a1c5c","observation_id":"e680a6c5-82a8-4931-b9ec-9deba8767a97","resolution":{"observed_at":"2026-08-03T09:21:18.464723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.14233","last_updated":"2026-05-28T11:00:11Z","latest_version":2,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-18T14:38:04.029880Z","submitted_at":"2026-01-20T18:45:10Z","title":"Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":19},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2601.14233."}