{"as_of":"2026-08-12T08:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:963fc9b4e2441e540dde6809e4de5a2793e9202db570a18633ce100e0f360560","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:14:49.881249Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2412.08160/citation-record","integrity":"/paper/2412.08160/integrity","json":"/paper/2412.08160/citation-record.json","paper":"/paper/2412.08160"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:14:51.050054Z","title":null,"venue":null,"work_id":"edb471f5-e36f-4095-b244-16236dabfb66","year":2013},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.543330Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:a8e29171d9dd1969920da3d9de3999aeb6a3af86f18553e191f360c9c3fde81c","observation_id":"bcb14fd7-caf4-4e61-b163-de0cea2889e9","resolution":{"observed_at":"2026-08-11T18:14:51.054870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08678","last_updated":"2024-02-19T18:53:13Z","snapshot_observed_at":"2026-08-06T16:35:04.650921Z","submitted_at":"2024-02-13T18:58:17Z","title":"Graph Mamba: Towards Learning on Graphs with State Space Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.08678","snapshot_observed_at":"2026-08-11T18:14:49.550935Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.550935Z"},"links":{"cited_paper":"/paper/2402.08678","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:c2582cfc1274a67376a4d4383e3be9c49274be7e78535ccd574877a592b88f1d","observation_id":"9091840c-fe2f-4c82-9432-d2effe9c0b35","resolution":{"observed_at":"2026-08-11T18:14:49.550935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11244","last_updated":"2024-06-17T06:15:31Z","snapshot_observed_at":"2026-08-03T18:53:22.966755Z","submitted_at":"2024-06-17T06:15:31Z","title":"SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11244","snapshot_observed_at":"2026-08-11T18:14:49.557537Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.557537Z"},"links":{"cited_paper":"/paper/2406.11244","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:40c2e2587ecd907e8cbf163f3e319b658b42b4a5ed0d39688c03be2aa1cd4b21","observation_id":"cdb48a39-411a-4272-90ab-7b496703733d","resolution":{"observed_at":"2026-08-11T18:14:49.557537Z","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":"2026-08-11T18:14:51.032296Z","title":"M.; Likhosherstov, V.; Dohan, D.; Song, X.; Gane, A.; Sarlos, T.; Hawkins, P.; Davis, J","venue":null,"work_id":"697b627c-d394-4083-9c23-9bebbe21eec2","year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.564376Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:7f9d619b5173016a1c6980db2e3ac3cae7de057c8e8b09f7a1ed7a36b0569847","observation_id":"4922e9de-7de8-49e1-b694-58b143170a5b","resolution":{"observed_at":"2026-08-11T18:14:51.037897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.571383Z","title":null,"venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.571383Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:b0f08e54aeb2e552dd82d5fdc0d6471df54c46d51c414b4d5a8b37a067f2a104","observation_id":"fd66f39e-2ae7-420f-b276-0526e17c725e","resolution":{"observed_at":"2026-08-11T18:14:49.571383Z","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":"2026-08-11T18:14:51.001751Z","title":null,"venue":null,"work_id":"5b16d3aa-9090-4f82-ab1f-0e8d543f366d","year":2019},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.578054Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:0685f8d29453abd06ae69943dfa1b26034c40fbe4b370b95559e961b5c97ec37","observation_id":"5dab51d1-6852-4a1e-a88b-ba1080c75fd0","resolution":{"observed_at":"2026-08-11T18:14:51.007077Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.583964Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.583964Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:0295b00327012e3e893bd074462e454a5f102afa6c915d25939bdaf6f6c0949c","observation_id":"b840f768-7a33-4787-8949-d9610a8a47e7","resolution":{"observed_at":"2026-08-11T18:14:49.583964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-11T18:14:49.588818Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.588818Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:65f0a2e3cd39685d6add9779445af7c94dd12f830dae822a3d6227604e8a575f","observation_id":"7318a3d5-4ed2-42fb-91e2-3384dd20194d","resolution":{"observed_at":"2026-08-11T18:14:49.588818Z","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":"2026-08-11T18:14:49.594015Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.594015Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:f21a06d0c801ebe7add1727172722ae8a3e6335f59fa099d730ada695f7f97e7","observation_id":"34aa038a-5890-470e-a4ff-b426014ebedd","resolution":{"observed_at":"2026-08-11T18:14:49.594015Z","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":"2026-08-11T18:14:49.599267Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.599267Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:a4fc28637ccbf1c3680129c8a3d21fee33a3618ef48d786e87e002ec253d593f","observation_id":"80583208-e353-4bd6-9ea1-34d3b25b707c","resolution":{"observed_at":"2026-08-11T18:14:49.599267Z","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":"2026-08-11T18:14:50.951369Z","title":null,"venue":null,"work_id":"ce6663f4-b4eb-4177-b772-05e062963551","year":2021},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.604941Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:989a9c056185b4bc6152eb60ab0cc200dc1297740e3999df27187606a3d59096","observation_id":"168d866b-105d-4909-9c7f-2169a9ad7b60","resolution":{"observed_at":"2026-08-11T18:14:50.957459Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.610085Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.610085Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:6ee8eab1c896265f074eb5e169d94ec3439710cca7c88ac3818be80a3f9e47d7","observation_id":"8116356e-190c-4928-b8d2-dea4b11dab85","resolution":{"observed_at":"2026-08-11T18:14:49.610085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05815","last_updated":"2024-10-04T08:46:03Z","snapshot_observed_at":"2026-07-06T18:27:45.631190Z","submitted_at":"2024-06-09T15:03:36Z","title":"What Can We Learn from State Space Models for Machine Learning on Graphs?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05815","snapshot_observed_at":"2026-08-11T18:14:49.615547Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.615547Z"},"links":{"cited_paper":"/paper/2406.05815","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:4ce251df7e447421304e48c9aa6db25c7a96c39f7b24139c559e74f53371c0fa","observation_id":"f72dc6a7-623b-45e4-85a1-01660837f727","resolution":{"observed_at":"2026-08-11T18:14:49.615547Z","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":"2026-08-11T18:14:50.920958Z","title":null,"venue":null,"work_id":"b7cae49d-3640-471e-b55a-a6527ba8b25c","year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.621114Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:f5472e9d43565846bed449d603c1ae5f92e59cfe0d41739286f4269d9807ce65","observation_id":"1ae41e87-4ab1-4264-970d-56cde914c896","resolution":{"observed_at":"2026-08-11T18:14:50.925662Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.902752Z","title":"M.; Goel, R.; Jain, K.; Kobyzev, I.; Sethi, A.; Forsyth, P.; and Poupart, P","venue":null,"work_id":"5950e739-2692-4952-920f-7718315afc4b","year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.626667Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:77d33fd89affc656b4babbdef0f62aa01f3b0e0a20f6181156169408adea6252","observation_id":"2f60d327-a773-41ae-a142-7e45d72179dc","resolution":{"observed_at":"2026-08-11T18:14:50.909115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.885506Z","title":"P.; and Ba, J","venue":null,"work_id":"55d8624a-4bf4-4702-9a5f-09ea4d49f7eb","year":2014},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.631767Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:8fc0f718345f4dea58c366ce2e2103651c71751c60982c9c22319ab04e62b8de","observation_id":"c4f8c472-baa3-4076-a95b-aa1a234a0902","resolution":{"observed_at":"2026-08-11T18:14:50.890079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.07308","last_updated":"2016-11-21T11:37:17Z","snapshot_observed_at":"2026-08-06T06:17:37.090691Z","submitted_at":"2016-11-21T11:37:17Z","title":"Variational Graph Auto-Encoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.07308","snapshot_observed_at":"2026-08-11T18:14:49.636887Z","title":"N.; and Welling, M","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.636887Z"},"links":{"cited_paper":"/paper/1611.07308","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:a2e94a8b49834895155c00e621b67d8d936b2711439c9f6154231507cecd3126","observation_id":"c1be976c-5d0a-44a6-8f9c-99473e705088","resolution":{"observed_at":"2026-08-11T18:14:49.636887Z","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":"2026-08-11T18:14:49.642425Z","title":"N.; and Welling, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.642425Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:0d2d3e3540811c7b4baea92525490ce726928f6f595aea76bcfc3829a0fa60dc","observation_id":"45d6ecaf-541c-4f7d-adb5-42c9db2514a2","resolution":{"observed_at":"2026-08-11T18:14:49.642425Z","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":"2026-08-11T18:14:49.647827Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.647827Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:3cd0230b281e8c83601eb15a4c678b510982ab438719ba79be497006a822f0af","observation_id":"0ac24d7e-20b7-4135-88ce-fff2472ee113","resolution":{"observed_at":"2026-08-11T18:14:49.647827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12418","last_updated":"2024-05-18T11:58:16Z","snapshot_observed_at":"2026-08-04T07:21:40.573809Z","submitted_at":"2024-03-19T04:02:57Z","title":"STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12418","snapshot_observed_at":"2026-08-11T18:14:49.653438Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.653438Z"},"links":{"cited_paper":"/paper/2403.12418","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:7177eb1ed36b97df4c73693fc4b27bc9cf60888c4eff39154f561bb3b22fe871","observation_id":"c216b2e4-0000-499b-ae36-225472c2b86d","resolution":{"observed_at":"2026-08-11T18:14:49.653438Z","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":"2026-08-11T18:14:50.844440Z","title":"L.; Zhang, G","venue":null,"work_id":"ed62704d-10aa-4707-9962-bf98c598ffdd","year":2023},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.659493Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:96a4043c0a1e336e5a968c018f7dba2f7f7a3f2c248589474438b6fb5bb80feb","observation_id":"cf7e2bce-64d4-428a-98ac-70bb053e7eb0","resolution":{"observed_at":"2026-08-11T18:14:50.850664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.665306Z","title":null,"venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.665306Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:cfdd2b7c4852a6ceadafb1005f08552d3ba546d9e3836f19657d26dc812ae00e","observation_id":"349cdbe7-e4e3-4280-ab5d-f6a49a604594","resolution":{"observed_at":"2026-08-11T18:14:49.665306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1301.3781","last_updated":"2013-09-07T00:30:40Z","snapshot_observed_at":"2026-07-06T03:04:11.148340Z","submitted_at":"2013-01-16T18:24:43Z","title":"Efficient Estimation of Word Representations in Vector Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1301.3781","snapshot_observed_at":"2026-08-11T18:14:49.670900Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.670900Z"},"links":{"cited_paper":"/paper/1301.3781","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:6597c3b374a88243810f652f915a00b08802ca6bb6dba9db772110e8bc1f5ccb","observation_id":"765e3af4-4abf-43b7-860e-e2598bc29e59","resolution":{"observed_at":"2026-08-11T18:14:49.670900Z","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":"2026-08-11T18:14:50.816211Z","title":null,"venue":null,"work_id":"b5353385-fb36-479f-af6c-802e8751e9f3","year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.676758Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:4374ed80ceb9127e9cd39994aaf2804dcbc710e54a1420cb5f048ef9f194d4e3","observation_id":"0f1d7fbc-b5a0-4ef0-a80f-fbca959d895d","resolution":{"observed_at":"2026-08-11T18:14:50.821265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.796674Z","title":null,"venue":null,"work_id":"5d65edcb-00ce-4c92-994d-0451e789c364","year":2010},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.682888Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:4153c4fefaf43e1a8f06f57110958f02089e6cb6a0094bb87ae563cce2af377b","observation_id":"4be04baa-3fc0-465b-873d-7c625549d7c5","resolution":{"observed_at":"2026-08-11T18:14:50.803068Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10637","last_updated":"2020-10-09T11:39:32Z","snapshot_observed_at":"2026-08-07T10:11:23.671536Z","submitted_at":"2020-06-18T16:06:18Z","title":"Temporal Graph Networks for Deep Learning on Dynamic Graphs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10637","snapshot_observed_at":"2026-08-11T18:14:49.688474Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.688474Z"},"links":{"cited_paper":"/paper/2006.10637","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:01c4d2163be86f7364daf396e5ae8838f360cb933ca482331035ebef79929eea","observation_id":"94676804-71b0-4dda-9d00-a064808e141a","resolution":{"observed_at":"2026-08-11T18:14:49.688474Z","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":"2026-08-11T18:14:50.777599Z","title":null,"venue":null,"work_id":"c343a11c-0b73-4f8a-8d10-9921edaa8396","year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.693727Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:4f1ac0e2b62680e9a123451fe248ebd428ea736acae09d13e429d9c24b041de2","observation_id":"3c66bc11-c0cc-4d0f-b742-3af74c82f670","resolution":{"observed_at":"2026-08-11T18:14:50.784034Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.758688Z","title":null,"venue":null,"work_id":"fcbbd81f-0d2c-4e53-9545-434464646c3e","year":2018},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.700434Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:9a74fd32851eb1fd7677468371d1793ac1902983b005a5b1c646923f18f174e7","observation_id":"bc6284b1-f13d-4aaf-b78b-e71b15c21ef3","resolution":{"observed_at":"2026-08-11T18:14:50.763752Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.705592Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.705592Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:285e0ccb86eca77b3b6338e1764c98f7757932a8f1afb4d23908604ab9eccbf2","observation_id":"ad8bf214-097b-4b2e-884d-9cb901d1c8c5","resolution":{"observed_at":"2026-08-11T18:14:49.705592Z","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":"2026-08-11T18:14:50.729536Z","title":null,"venue":null,"work_id":"d40fd10b-427b-4399-bccf-9715be4753a0","year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.710860Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:0ef6553766c5779bc2e51ed92a72f27aca45c75fc8ea0b50adf9f8793b915936","observation_id":"109878d7-ceb7-42a4-9d3a-0e218d706828","resolution":{"observed_at":"2026-08-11T18:14:50.734661Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.712148Z","title":null,"venue":null,"work_id":"2fd89578-2d19-407d-87e5-0134f27c0cb1","year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.717993Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:b98ac424e2bcd474b066e78ceed2ddd7303c48b43f0bdc18dc0c75284bb74985","observation_id":"59798c95-f6c6-4f5b-88f8-815235ec1ccc","resolution":{"observed_at":"2026-08-11T18:14:50.718388Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.695454Z","title":null,"venue":null,"work_id":"f51544e5-9f9a-4d26-b71f-cbee4b659f0f","year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.722605Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:03d7318ed1123f44e5283d5a6a7fa2bf9a7d0603218fa64ad5ef71e0bce0fb17","observation_id":"11f67948-8fef-4499-9e77-29a3f0876dce","resolution":{"observed_at":"2026-08-11T18:14:50.700787Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.677911Z","title":null,"venue":null,"work_id":"6672e6ec-ae8a-471a-97f5-6130aaf72c10","year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.727490Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:5f8b03c4cc1b4446002d22e1ce2d60b36c31e0cb10cae0856143fb0d6c2dae37","observation_id":"00cfffa5-0406-4c5b-8795-86e12f15aa2d","resolution":{"observed_at":"2026-08-11T18:14:50.683201Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.660362Z","title":null,"venue":null,"work_id":"ae84210f-fb67-45f7-bc39-f0163f59658c","year":2012},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.731811Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:f568cd70a9619853b821634246ee4a951ecdef6a531b206a4e141ddb0b3daafd","observation_id":"c4ca60eb-e52e-43cd-95ae-9be3503bfb0f","resolution":{"observed_at":"2026-08-11T18:14:50.666256Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.736539Z","title":"N.; Kaiser, .; and Polosukhin, I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.736539Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:109e738b733952704d7fea0db00dcdb6515763bd8e3704db63b4ce788ac2950e","observation_id":"4b5f590e-f317-4bf7-81d3-4074f97f300d","resolution":{"observed_at":"2026-08-11T18:14:49.736539Z","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":"2026-08-11T18:14:49.744019Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.744019Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:4e9a79b59402792ef739eb6ecb9b78ef516f5efdffda0a2bfbd9fff40ef396a6","observation_id":"c2f0b7da-49c5-4e8a-8583-595a844d6aa1","resolution":{"observed_at":"2026-08-11T18:14:49.744019Z","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":"2026-08-11T18:14:50.620257Z","title":null,"venue":null,"work_id":"07fffc35-45c3-497b-b655-98c0944f8528","year":2021},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.751768Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:26d84839913136c31ff6fd38d54d86fa67b96912dc3ed72f47dfe4196de1a83a","observation_id":"36d491d6-cb3f-4c06-ba5e-118609e2c2a6","resolution":{"observed_at":"2026-08-11T18:14:50.626632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00789","last_updated":"2024-02-01T17:21:53Z","snapshot_observed_at":"2026-08-09T22:41:29.472963Z","submitted_at":"2024-02-01T17:21:53Z","title":"Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00789","snapshot_observed_at":"2026-08-11T18:14:49.757273Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.757273Z"},"links":{"cited_paper":"/paper/2402.00789","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:4f0afc9b5b8f46d1a7e37d6b8fb091169c9313bfa765fb18d3d4b665bc1b8116","observation_id":"a418841a-062b-4ae8-b86a-733ca36c49bb","resolution":{"observed_at":"2026-08-11T18:14:49.757273Z","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":"2026-08-11T18:14:50.601814Z","title":null,"venue":null,"work_id":"bbbd9727-2188-4773-8b46-3709b0f3a95c","year":2024},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.763095Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:bf0897630364b4768cca09a94516c03d45dfe725e845ec2184b40b331fe93441","observation_id":"139f5197-8831-4e14-8b3c-4fd840c3ca65","resolution":{"observed_at":"2026-08-11T18:14:50.607304Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.585272Z","title":null,"venue":null,"work_id":"0c389b43-8f54-4e9d-af35-3db3741b85fd","year":2019},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.768107Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:d2625001e3dbeecdfdfcee502c163ef10c0bc9ea91f9fe654e0dbe22b51339be","observation_id":"ea1c7f24-fbd6-49f9-a434-ee464b994f4c","resolution":{"observed_at":"2026-08-11T18:14:50.589812Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.567551Z","title":"P.; and Yan, J","venue":null,"work_id":"1cab8a6d-843d-4f6e-aff6-94b54aa65398","year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.774449Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:b88c6322dd865c35a05abf72d985908829ec188e5617b27238334d8ce6b1f2f2","observation_id":"2be2974b-9015-425c-95b0-8f06a09f7bbc","resolution":{"observed_at":"2026-08-11T18:14:50.573203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.04214","last_updated":"2019-10-14T22:09:35Z","snapshot_observed_at":"2026-08-10T16:27:56.677946Z","submitted_at":"2019-06-10T18:20:09Z","title":"Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.04214","snapshot_observed_at":"2026-08-11T18:14:49.780572Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.780572Z"},"links":{"cited_paper":"/paper/1906.04214","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:1d5300379308fcf98242e7723fb0bb7366cfd99f6a017fe0499aaf9b0b2420a0","observation_id":"2f071705-6c73-495b-b113-6e4c892ade94","resolution":{"observed_at":"2026-08-11T18:14:49.780572Z","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":"2026-08-11T18:14:50.552605Z","title":null,"venue":null,"work_id":"4ef7eb92-11fd-490e-b3d2-46df5e3d4727","year":2019},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.786920Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:9105afe05dc045bbf1870c7e6e7d7da16fcc0acbb8c1ac25f1d646f5506ba5a7","observation_id":"2ee057be-fecf-4825-8bb5-7399022f3aeb","resolution":{"observed_at":"2026-08-11T18:14:50.556847Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.538030Z","title":null,"venue":null,"work_id":"ad50ec0c-9ae8-4dc2-9b9a-00b50ada93ae","year":2024},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.794528Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:dbce67f9409ef103ee81e23a019a7600d172fe41d0a4a0c6cb385376477011eb","observation_id":"4aa56237-eb12-462e-b702-28b1a4320ee1","resolution":{"observed_at":"2026-08-11T18:14:50.542308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.522776Z","title":null,"venue":null,"work_id":"9b418394-a7f0-469b-86b6-8512aad66955","year":2023},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.801061Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:08f96b1ff8680747c04f3bb34e3a34b3b0ccc4b62f7bcf8aad719c75bf577865","observation_id":"7a7d1210-8884-4993-a5b7-336158e70828","resolution":{"observed_at":"2026-08-11T18:14:50.527235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.506228Z","title":null,"venue":null,"work_id":"b4cb2880-e087-41ee-823d-2c25d1a36602","year":2022},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.807351Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:5ed214065a78c3175edeeca1fbf9ef8746b226de3a6c51852312d87744314f7d","observation_id":"9fca2eaa-065d-43dd-a8ed-67dc44e83230","resolution":{"observed_at":"2026-08-11T18:14:50.511482Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.486688Z","title":null,"venue":null,"work_id":"93324f45-57f4-426d-9ed8-3ec61f184597","year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.812700Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:412f478957c099f7ea89ee4754baea5431c3b462066bfad02e1016d9295b1bb6","observation_id":"84bcba1c-2e64-4756-ac1a-aafe6ca12239","resolution":{"observed_at":"2026-08-11T18:14:50.493177Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.468402Z","title":null,"venue":null,"work_id":"f2c2c0d3-8a29-433f-b843-26064bfb977e","year":2023},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.818137Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:17c0f285b61153f79f6d23b63a46733ed2588ce2907b9704cbd3b216de09ed59","observation_id":"12c8b7dc-6eba-4ed8-b646-6c1de8a6adfe","resolution":{"observed_at":"2026-08-11T18:14:50.473756Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.451563Z","title":null,"venue":null,"work_id":"a73abfe7-10ec-4bb3-b19a-3cf31639e2ee","year":2020},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.823249Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:bd5221c6acdf7795eb919b9bb8073f716ad52d6e610449bd93b866254798fe54","observation_id":"38f5133b-e1ab-4132-ac1c-817c44d80a36","resolution":{"observed_at":"2026-08-11T18:14:50.456836Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.434948Z","title":null,"venue":null,"work_id":"48fa8759-3fee-474b-b42d-71a98c4810f4","year":2018},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.829534Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:bd5ce237c3db666ad37d1b514bcec8cfc588b5c12cae5830092b4895030b7b78","observation_id":"ddd4a0a8-4c74-4740-82e8-dfe9e05fbf87","resolution":{"observed_at":"2026-08-11T18:14:50.440189Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.417310Z","title":null,"venue":null,"work_id":"b6961071-4cb0-4b3b-ab22-001ac88f2d80","year":2023},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.838441Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:000c4772ebb5d1f203f71922552da786c6bf719bede0cad69903be9c5ae21ad9","observation_id":"ade9ee82-5f81-434e-9525-345c076d7d62","resolution":{"observed_at":"2026-08-11T18:14:50.422561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.397750Z","title":null,"venue":null,"work_id":"b5dfba03-ce47-4733-9432-6e8126a6b637","year":2019},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.846913Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:943d3e48eb9dcc9497d66b326b485c669c6506a77b95393800053368bce5820f","observation_id":"038f3913-79a4-4c08-9447-077c72bb7b56","resolution":{"observed_at":"2026-08-11T18:14:50.403756Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.854002Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.854002Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:1b8d4f855dac7f0b0d113dcec86777fa227fb1f73bcef786488e5335a422d57f","observation_id":"bd6b42f7-868a-4749-afd6-132c0861becb","resolution":{"observed_at":"2026-08-11T18:14:49.854002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.03036","last_updated":"2022-02-15T03:52:02Z","snapshot_observed_at":"2026-08-10T04:14:21.324398Z","submitted_at":"2021-03-04T13:49:25Z","title":"A Survey on Graph Structure Learning: Progress and Opportunities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.03036","snapshot_observed_at":"2026-08-11T18:14:49.859640Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.859640Z"},"links":{"cited_paper":"/paper/2103.03036","citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:370959394b5b2e800328c4e1dbf1dd7eb9907c1877f7ac0cd4bedb546c5f99ea","observation_id":"74cb2df7-b5ef-4d70-8849-1bca5f2a2684","resolution":{"observed_at":"2026-08-11T18:14:49.859640Z","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":"2026-08-11T18:14:50.367963Z","title":"u gner, D.; Akbarnejad, A.; and G \\","venue":null,"work_id":"9f717c65-509e-409e-94cc-1872d5e712c3","year":2018},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.865558Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:6b23b375c04f3974af94bab49852aba2daea18509e8bf038963948a41e58b34c","observation_id":"3a99435d-4a5a-4473-9237-5a46af4e2122","resolution":{"observed_at":"2026-08-11T18:14:50.375568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:50.349299Z","title":"u gner, D.; and G \\","venue":null,"work_id":"d486c1b8-c2e0-4e33-93d6-bae46d4fbd9c","year":2019},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.870305Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:fc80ae9c4fce1dee999ef0ed833d2a9a6133a4e8bb9c4e576ee53246eb8df50f","observation_id":"614f41c1-e905-41a2-860d-095c635208ac","resolution":{"observed_at":"2026-08-11T18:14:50.355470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:14:49.875291Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.875291Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:5050c9c14f7d5ec6919fc8aaf6c2f90750a112583e1d79134bf5efca2b2cd795","observation_id":"ca6bd934-11c1-4ff4-9ba5-22505e11ccbc","resolution":{"observed_at":"2026-08-11T18:14:49.875291Z","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":"2026-08-11T18:14:49.881249Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","version":4},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:49.881249Z"},"links":{"citing_paper":"/paper/2412.08160"},"observation_digest":"sha256:a9c4cd6402cc61b22c130ca0e5db102cace78761fa77ff9007d01818e3f32e2c","observation_id":"fe251001-d49e-4c5e-8826-15c140b3f838","resolution":{"observed_at":"2026-08-11T18:14:49.881249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.08160","last_updated":"2024-12-19T10:01:27Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T06:17:59.861275Z","submitted_at":"2024-12-11T07:32:38Z","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":51,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":58},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2412.08160."}