{"as_of":"2026-08-08T11:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:018f280814ddf3ee130506651f8fb6bd620afbd02ced71d79b786377dfe72b4d","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:19:24.441764Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.08519/citation-record","integrity":"/paper/2506.08519/integrity","json":"/paper/2506.08519/citation-record.json","paper":"/paper/2506.08519"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:19:25.347671Z","title":"Tensor graph decomposition for temporal networks,","venue":null,"work_id":"3e62d1a9-f7ab-4294-8f21-828c3cda363f","year":2024},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.210365Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:5977874a78f14fa0dd5f617514b2d4ed1bff44c8a53d993d3ded0a0a92eaa6f3","observation_id":"d6154668-e5da-423b-b83c-75d9c71c1903","resolution":{"observed_at":"2026-08-07T05:19:25.352432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.331720Z","title":"Temporal networks,","venue":null,"work_id":"eda91e8e-d5fe-426c-b898-54dd8b3e5efb","year":2012},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.215631Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:a966467b8bb672dab2f0858dccf50bcbe4074be5d9328abc477afd5431aee870","observation_id":"8458ac1c-31f2-4037-9584-21298c7cfc86","resolution":{"observed_at":"2026-08-07T05:19:25.336737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.316885Z","title":"Time- varying graphs and dynamic networks,","venue":null,"work_id":"76dfa924-4350-4838-b0c8-4650a9df09e2","year":2012},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.220070Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:c13be95ad615f4a492843ed29a657aa15188d974d1dd0e5f54e181b3aadb20ed","observation_id":"a3c47801-9b20-4e36-ba71-9ebdb75afb8f","resolution":{"observed_at":"2026-08-07T05:19:25.321911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.302893Z","title":"Network evolution by different rewiring schemes,","venue":null,"work_id":"a5cc5f09-559b-43a6-9a98-5466d69bdb84","year":2009},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.224892Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:cd845da9f860faeda6a9ff9f5073575ce4f96929a4f73e1f396a71f1b52d36ea","observation_id":"4cea1c1e-8fe8-4f29-909e-7eb81c5c69b1","resolution":{"observed_at":"2026-08-07T05:19:25.307568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.288547Z","title":"Random graph models for dynamic networks,","venue":null,"work_id":"3e360920-c059-44a1-9afa-ee9a78b5978b","year":2017},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.229942Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:c44c0707c73823414c184d58bef2c20d5f283801deebf9b4160d0a9ee83866c6","observation_id":"754be219-e772-457a-a96f-931c87330c0c","resolution":{"observed_at":"2026-08-07T05:19:25.293192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.274982Z","title":"Learning time varying graphs,","venue":null,"work_id":"14a67738-6186-4a95-ba81-75c998100fe1","year":2017},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.235174Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:7e79f58cc367c0db296e820e3624b991d49cbe745f82a2b07563f8d7cb9d8bf1","observation_id":"456f3b4f-c297-45a9-81ca-19102add5a51","resolution":{"observed_at":"2026-08-07T05:19:25.279375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.258621Z","title":"Learning time-varying graphs from online data,","venue":null,"work_id":"7ba1b35b-844a-498c-b457-dfc680324ba7","year":2022},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.240609Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:68149b5bfd13c5bfcc5c06983422551ee138a1238c594b194d7219c6ab90c71a","observation_id":"188249aa-5f23-44de-b633-422a83cce5d0","resolution":{"observed_at":"2026-08-07T05:19:25.265023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.241623Z","title":"Sparse online learning with kernels using random features for estimating nonlinear dynamic graphs,","venue":null,"work_id":"fc6871f9-a308-449c-ac68-1cfdeab3e4c5","year":2027},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.245583Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:fb3c2b11e8d0cbe566db26b740b6a6f9b818c1c1c9b50e3d3071ddb456c782a6","observation_id":"74501997-6c94-4934-a79b-2f5f8d0f0f03","resolution":{"observed_at":"2026-08-07T05:19:25.246889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.226369Z","title":"Online topology inference from streaming stationary graph signals with partial connectivity information,","venue":null,"work_id":"6575c50a-e795-4370-b6dd-c6ee498a8ccc","year":2020},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.250978Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:199ae719067576458e32fcdd1890bdc6f61b50c909008b9fb2ce9e56c1d8ee49","observation_id":"4cb91c3c-23a8-4d5b-8446-0e8bd5e437b8","resolution":{"observed_at":"2026-08-07T05:19:25.231305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.210479Z","title":"Tensor decompositions for identifying directed graph topologies and tracking dynamic networks,","venue":null,"work_id":"4b1a52d3-2c7a-4726-9202-dae89c5447aa","year":2017},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.255562Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:7cde05add0d0e64c6d483e445463f96cb878fb507582743ae319b054c545a7ee","observation_id":"f5c2dfb9-95a5-4957-97b5-5649d7b5e3a9","resolution":{"observed_at":"2026-08-07T05:19:25.215487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.194474Z","title":"Tracking switched dynamic network topologies from information cascades,","venue":null,"work_id":"a3a82c6d-999e-48d0-ac29-d89ee018ce26","year":2016},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.260417Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:238715ab8f2aa419f8bb273a23400e6a72ffd59b0d25eb2c378adf81b51c4c23","observation_id":"efcc512b-6de3-4e1a-a72c-fba35d827bad","resolution":{"observed_at":"2026-08-07T05:19:25.199583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.178426Z","title":"Network inference via the time-varying graphical lasso,","venue":null,"work_id":"ea07353c-f4f6-4bfb-aeee-2698ff1277b4","year":2017},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.265443Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:c4e60715e5b62c5e08d5587550649abf736f6e6065e99df064cffb9921568333","observation_id":"0cf60428-eb67-4022-a1f4-ed37afb33385","resolution":{"observed_at":"2026-08-07T05:19:25.183754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.161929Z","title":"Online network inference from graph-stationary signals with hidden nodes,","venue":null,"work_id":"9c555ed9-4d9f-44e0-b449-63b08b2fbbc0","year":2025},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.270578Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:6d0abd51429d21dbf19da1cf4569758fc35b0680e639be4e958a3fec62967269","observation_id":"e8a3a52a-fb16-44fb-abb0-e3518612755d","resolution":{"observed_at":"2026-08-07T05:19:25.167399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.147261Z","title":"Joint signal recovery and graph learning from incomplete time-series,","venue":null,"work_id":"38a28781-b27c-40ee-97fd-8d93855abacf","year":2024},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.275492Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:7935714c424d44ba90814733e83a66c929c3843a6efcbfa4af16a8de0636c2ba","observation_id":"831cac82-b845-430a-af96-e519530d6abb","resolution":{"observed_at":"2026-08-07T05:19:25.152070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.132705Z","title":"Multiview graph learning with consensus graph,","venue":null,"work_id":"d4ebedfd-0799-4faf-889a-b706eb67a760","year":2025},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.280078Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:55b557d69ef2e2d473c5914cf242052fa25f03a35b62f0f3c37efbfd8f5da4ee","observation_id":"1ab78073-b9ea-4426-906d-03bc782aaea9","resolution":{"observed_at":"2026-08-07T05:19:25.137459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.117096Z","title":"Online inference for mixture model of streaming graph signals with sparse excitation,","venue":null,"work_id":"1cda98f0-5639-4e09-b62f-c4e502be0abe","year":2022},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.284311Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:253eca15098ac4fb870c5598da2e639ce9f586a6cf1b741352681b5b4014d30c","observation_id":"8c8902a8-fa54-4a41-9a28-3cdbe17ff94c","resolution":{"observed_at":"2026-08-07T05:19:25.122589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.101575Z","title":"Graph independent component analysis reveals repertoires of intrinsic network components in the human brain,","venue":null,"work_id":"caba7e38-b634-4c0a-8784-4e4a8d5c72cb","year":2014},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.288831Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:b0b76dad1dbd566be9c16fc6ac81f7eae32cd236281765ce7632764658f6fc79","observation_id":"af4e7159-2cdd-4620-8c10-638d384da658","resolution":{"observed_at":"2026-08-07T05:19:25.106375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.083546Z","title":"Independent component analysis: algorithms and applications,","venue":null,"work_id":"4d2726bf-8c29-45b7-b483-54b11376a5ae","year":2000},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.294227Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:0ff6f2d420b5895687f3eda7b2ac7b0df6739e9bfe374914e2b433c2bf6a6fc6","observation_id":"0f629477-ee21-4b59-ab4a-5563e832f42f","resolution":{"observed_at":"2026-08-07T05:19:25.090149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.068611Z","title":"Multi- layer network switching rate predicts brain performance,","venue":null,"work_id":"d6707b63-daa2-4485-a74d-e6dfd4a04ad6","year":2018},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.298544Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:3e26bca2e023faea6b34e67c889811a7f18f431d3847db6df21f799d91764350","observation_id":"b43d634f-50c8-447b-9151-a4174f3d2b84","resolution":{"observed_at":"2026-08-07T05:19:25.073653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.053361Z","title":"Graph-adaptive semi- supervised tracking of dynamic processes over switching network modes,","venue":null,"work_id":"0b11b78c-24ea-4cd2-9449-e05acb9f6153","year":2020},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.302897Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:d096a6f58b988ceaac6ab56f43cce81c46a4c91a90acf669271a731377b0a3aa","observation_id":"7bb05065-32f1-4431-882b-d7ffe15a7f3a","resolution":{"observed_at":"2026-08-07T05:19:25.058337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.038581Z","title":"Graph switching dynamical systems,","venue":null,"work_id":"1091b06c-d4f6-42ea-a009-744423c9a8f5","year":2023},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.308273Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:483d963e2996b4005755a35032a56ca4e51c11b633a5954af907faa823412c73","observation_id":"883c03c9-2843-49e2-95e5-48e1941dfa32","resolution":{"observed_at":"2026-08-07T05:19:25.043146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.023627Z","title":"Brain network adaptability across task states,","venue":null,"work_id":"71f476ff-f835-4a0d-8bb1-c0f79e6389f5","year":2015},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.313009Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:cf5401034a57f752472495334263bd2fabe00e9c7b7385090bf395a3e4280f53","observation_id":"e19acfa2-d48b-4551-8511-0a5fc9414445","resolution":{"observed_at":"2026-08-07T05:19:25.029019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:25.008401Z","title":"Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions,","venue":null,"work_id":"a56d3986-10e3-4e84-8b1b-efef41bf9308","year":2016},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.318088Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:c67500b1a1f65716378d0f47ac16d4f65cc6cfa873e0097bdc1725d10451dec2","observation_id":"5bcd029a-e94e-4d50-86f7-f99dbce3315c","resolution":{"observed_at":"2026-08-07T05:19:25.013441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.991839Z","title":"Tensor decompositions and applications,","venue":null,"work_id":"2e8ec099-e1f9-4823-87e5-d99f186a4f09","year":2009},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.322559Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:62157d62fb1ef9ccf2f71fb473b601a7b4e55ce35f0a2a0911d423b9c2b99ce0","observation_id":"1de12a53-b0b5-44b4-a80d-e9416f7f5519","resolution":{"observed_at":"2026-08-07T05:19:24.997448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.976080Z","title":"A multilinear singular value decomposition,","venue":null,"work_id":"702359a8-7e8a-4acf-b837-5cf9ce137ece","year":2000},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.327458Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:662780c48f7c8a3e5097968c9df047440823df14c6692276f536256e12c4e6b2","observation_id":"782227d2-4acc-4911-bc7d-95ca0b205f6f","resolution":{"observed_at":"2026-08-07T05:19:24.981526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.960058Z","title":"Decompositions of a higher-order tensor in block terms—part iii: Alternating least squares algorithms,","venue":null,"work_id":"5f2cddfe-94b9-4e75-8c19-81dc18fb52fd","year":2008},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.331896Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:ecc5d40654c9e267967d3eac12d417370ef7c9a76b2b37c7f1136dbee2849bdd","observation_id":"471e0417-49ae-46e5-94a5-c48b19070f0b","resolution":{"observed_at":"2026-08-07T05:19:24.965422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.944107Z","title":"Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach,","venue":null,"work_id":"7aea8765-99e3-48fe-a902-32b44b8af5ef","year":2014},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.336581Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:510fa8999eb3c9474b15f4a503fc6ae5355e5d8cfc1585e15aaf7d13938ebf5f","observation_id":"7e7055c8-25af-44b2-a6b1-55f2b462f745","resolution":{"observed_at":"2026-08-07T05:19:24.949122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.928464Z","title":"Larc: Learning activity-regularized overlapping communities across time,","venue":null,"work_id":"8f69af2f-c4c5-4074-9662-7ee1c0714728","year":2018},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.340915Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:9977d295a1b174e3fccd30842d28e7bc3f645dee353a4499c8c5265f67a278b5","observation_id":"3c0dc00c-3fff-4210-98e6-30bcb76df06d","resolution":{"observed_at":"2026-08-07T05:19:24.933365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.912802Z","title":"Beyond rank-1: Discovering rich community structure in multi-aspect graphs,","venue":null,"work_id":"98ab0d89-c408-4534-a8f6-c5c391eddec2","year":2020},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.345440Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:b142ceb70aaf452007dadc1de43dc273755702c487613b4d43918ad30b625bf6","observation_id":"2522cea0-3d1a-4124-80b2-a79d54361d5b","resolution":{"observed_at":"2026-08-07T05:19:24.917863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.896915Z","title":"Dynamic graph summa- rization: a tensor decomposition approach,","venue":null,"work_id":"fcf25c5b-5d34-477f-943d-ce83fb22a294","year":2018},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.350655Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:ea81f406c351019818134d3187683e6b219dc1a90ca027e130f3fded9bdedf5c","observation_id":"95c19d3e-2516-4c2d-9c1e-1a5c3845c8dd","resolution":{"observed_at":"2026-08-07T05:19:24.902468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.880767Z","title":"Temporal link prediction using matrix and tensor factorizations,","venue":null,"work_id":"38965a3c-70f6-4b65-96d6-5e14053fccda","year":2011},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.356610Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:937b83bbb4790a53b321bc49f73cf5eee6fb6874c71d01ba628b1d39f318b908","observation_id":"00bf82fb-d300-4f50-8df7-4b41dac0ccb6","resolution":{"observed_at":"2026-08-07T05:19:24.886608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.864598Z","title":"Anomaly detection in temporal graph data: An iterative tensor decom- position and masking approach,","venue":null,"work_id":"9031abca-7d00-47bf-b156-d59d27f89000","year":2015},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.360933Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:9691ea65bc41c2d85d67224bb5f6e823fd4b34f043715fc9b4807ea5ff26203e","observation_id":"8ae63a1e-7da1-43dd-903a-6e0f1ee3d29d","resolution":{"observed_at":"2026-08-07T05:19:24.869680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.846273Z","title":"Identification of dynamic functional brain network states through tensor decomposition,","venue":null,"work_id":"f95696f4-5f58-4a2f-bd2d-07a16579f7d3","year":2014},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.366183Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:86fed8a59cd8b05e1e5459308cd2ebf09011088c0b167f348c4d0edd859d27c0","observation_id":"bc4e678e-fa36-4168-916d-840f0fb19b56","resolution":{"observed_at":"2026-08-07T05:19:24.851493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.830912Z","title":"A tensor decomposition-based approach for detecting dynamic network states from eeg,","venue":null,"work_id":"896e1f2f-e9b6-4fa0-8222-118fec3046a5","year":2016},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.371013Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:7f22217c22eff97b19c7481de41e4eb46a5ac3e4119db49fcbf4de7be27eeacb","observation_id":"a8fe3b73-3769-429c-8bad-6377acbe923d","resolution":{"observed_at":"2026-08-07T05:19:24.835740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.815638Z","title":"Recursive tensor subspace tracking for dynamic brain network analysis,","venue":null,"work_id":"258d5370-15d0-47a1-a82c-27ffb5383a41","year":2017},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.375807Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:7391282beb05a1c6b64ba09350656234b382dc8ead540af6b0ff4720a2cc4644","observation_id":"7978b604-aed2-4d13-8e5c-949f79195885","resolution":{"observed_at":"2026-08-07T05:19:24.820455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.797683Z","title":"A generalized graph regularized non-negative tucker decomposition framework for tensor data representation,","venue":null,"work_id":"bf77a4e7-ff03-4ffb-95ab-ef1e5742a065","year":2020},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.380543Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:5ad1fe9de13ac75bd81e9dae9f3d429eac0ab5c0016f0f0e322d946d9385cf70","observation_id":"0c368ce4-9899-4463-8da8-b3411b20305a","resolution":{"observed_at":"2026-08-07T05:19:24.803765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.780437Z","title":"Connecting the Dots: Identifying Network Structure via Graph Signal Processing,","venue":null,"work_id":"74ffa6e6-0c06-49ce-8813-3a97e5edf34b","year":2019},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.385054Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:ddede5144dacc2855bb3722b3840c97688d80c5e7ff8b48b58c62a3db3db3868","observation_id":"f51c92a1-2a59-4b6f-a94a-a650025d9309","resolution":{"observed_at":"2026-08-07T05:19:24.786270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.765197Z","title":"Learning graphs from smooth and graph-stationary signals with hidden variables,","venue":null,"work_id":"1e82532d-4973-4c91-9235-6b341ea5b8dc","year":2022},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.390395Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:7963ec10ead91b089e28cf98ca7c215e4f7dda4d4657a089368b3131330a913b","observation_id":"9dc978c7-2f74-43c5-8da4-71f95b7b2a81","resolution":{"observed_at":"2026-08-07T05:19:24.770361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.749225Z","title":"Joint network topology inference in the presence of hidden nodes,","venue":null,"work_id":"152fb37f-4d31-433d-8516-cc68b7070936","year":2024},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.394788Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:a5dd64cc5995637823bdc8392968dbe906938cfa2e61b977615440583634faf9","observation_id":"8a04038d-49d5-48ab-8d31-224f4fccd1b0","resolution":{"observed_at":"2026-08-07T05:19:24.754140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.733539Z","title":"Privacy, social network sites, and social relations,","venue":null,"work_id":"47262b84-541a-48a2-8495-91a1f91d9d03","year":2014},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.399494Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:cd422fcd0b6e296687a0e40d990b0d7143f67021ee666ad6496a87363768dbc8","observation_id":"21700e9c-5bfb-4e21-9142-441171aa71fe","resolution":{"observed_at":"2026-08-07T05:19:24.737943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.717635Z","title":"Opportunities and challenges of wireless sensor networks in smart grid,","venue":null,"work_id":"08b7bb90-b6c4-4ed9-b6e3-e31944e7226b","year":2010},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.403914Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:e7e01b0795624eaff4f71a73540d44de3c14ecdda7151015016e6a1dccb89864","observation_id":"320fab30-2272-41be-b153-aea22f9fbc17","resolution":{"observed_at":"2026-08-07T05:19:24.722732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.702000Z","title":"Nonparametric bayesian learning of switching linear dynamical systems,","venue":null,"work_id":"ba195d3b-c052-44df-b8d5-2f1c7e1a72d5","year":2008},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.409093Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:1fcd01c965e55c8b63836b0827be8bf04f59b8f4ecfbfe354b9739f3f62dfdaf","observation_id":"f95ec186-a200-4dcc-98a1-6691314ca295","resolution":{"observed_at":"2026-08-07T05:19:24.707582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.685454Z","title":"Learning laplacian matrix in smooth graph signal representations,","venue":null,"work_id":"8176d09a-880c-4806-98fe-fa51fec21f98","year":2016},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.413261Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:79385afa3fa877fe6aa5c0da9c65e5b4fb230a78dc9d99d911b8617086b3f29f","observation_id":"a4d34400-bf82-41c6-b5db-012458922702","resolution":{"observed_at":"2026-08-07T05:19:24.690735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.666897Z","title":"Distributed optimization and statistical learning via the alternating direction method of multipliers,","venue":null,"work_id":"b5db45f7-12f1-49e6-8571-cd7afe8d1681","year":2011},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.417637Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:720a1500f8c08ed5b1b787aea34933f5c6f419abb88a7d98656d09b83c5252eb","observation_id":"c54874e2-b026-4742-84f1-74051d3d1444","resolution":{"observed_at":"2026-08-07T05:19:24.673076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.648218Z","title":"Polynomial graphical lasso: Learning edges from gaussian graph-stationary signals,","venue":null,"work_id":"ad8c3745-42d8-44e2-8f26-7097b3855f29","year":2025},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.422386Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:b66f28d9d05aef92eaf6ef619ceb005694c25e13377402c681fa40aeeff503f6","observation_id":"4ee7d972-fb38-4bdb-9d27-dfaf08deda1c","resolution":{"observed_at":"2026-08-07T05:19:24.653381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.631354Z","title":"A block coordinate descent method for regular- ized multiconvex optimization with applications to nonnegative tensor factorization and completion,","venue":null,"work_id":"65fa87c1-facd-42aa-a6c6-a13d18665471","year":2013},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.427251Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:1331d2cfd0572b50b947f185a3e45f1464ddf83504a59089b477050a4fa7fb3d","observation_id":"b016d704-ea31-4f58-af7b-cc5001b2f0d0","resolution":{"observed_at":"2026-08-07T05:19:24.636662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.614149Z","title":"How to learn a graph from smooth signals,","venue":null,"work_id":"6926864a-6566-47df-8b4f-c2d53beb8189","year":2016},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.432331Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:1148ef0121c587f71f701184136d6e83dbe28ec9c1d564e1221c5e0143f5a83b","observation_id":"5fd2e2a7-13de-48ff-b5de-bb5fd94d426c","resolution":{"observed_at":"2026-08-07T05:19:24.619325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.598310Z","title":"Reconstruction of time-varying graph signals via sobolev smoothness,","venue":null,"work_id":"489acd4e-0b1b-48ae-937b-122bfc49a3d9","year":2022},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.436767Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:59e20d713a07d3f88f8724bda0f5841757f91a152087f6b3397e8ba28eff51b0","observation_id":"5b4aa88e-d8a9-4449-9499-731cdc6551c2","resolution":{"observed_at":"2026-08-07T05:19:24.603502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:19:24.472958Z","title":"Noaa’s 1981–2010 us climate normals: an overview,","venue":null,"work_id":"1177a3a8-9a75-4be7-a6c3-7746e8c9f21c","year":1981},"citing_paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:24.441764Z"},"links":{"citing_paper":"/paper/2506.08519"},"observation_digest":"sha256:2cc22df9ab4be6bc62ecaff4bca6335493633e7262300f1fb4568a166de5807b","observation_id":"41613663-dbe1-4e01-adda-4dbef622f484","resolution":{"observed_at":"2026-08-07T05:19:24.586792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.08519","last_updated":"2025-06-10T07:37:38Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-07T13:15:01.399103Z","submitted_at":"2025-06-10T07:37:38Z","title":"Graph signal aware decomposition of dynamic networks via latent graphs"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":49},"total_outbound_references":49},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.08519."}