{"as_of":"2026-08-21T00:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cde154bad2f2093d2b4a99ff830ecb21e8b843baa1808bbf9f955a00350bd2c7","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T17:10:57.825041Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2607.18353/citation-record","integrity":"/paper/2607.18353/integrity","json":"/paper/2607.18353/citation-record.json","paper":"/paper/2607.18353"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:10:56.019137Z","title":"IEEE Transactions on Intelligent Transportation Systems 19(3), 699 -- 710 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.019137Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:fc8034b4259f87ebe138aab2f462827e58e3e16d3cf337f13f71dcefda0cb107","observation_id":"4c362a8a-69bd-4092-8046-5a76d28755e5","resolution":{"observed_at":"2026-08-01T17:10:56.019137Z","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":"10.1109/icde.2006.71","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: 22nd International Conference on Data Engineering (ICDE'06)","venue":null,"work_id":"63c7d8a7-429d-43a4-93bc-5f3e59175fda","year":2006},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.077303Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:dfa92a7be178591dca7c6b9e5b5e719a48ce896a2fefc2e6a75f5a8f399003ff","observation_id":"e9678f39-47a5-4011-910b-403c4feb3659","resolution":{"observed_at":"2026-08-01T17:14:18.499673Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-17T10:49:36.026134Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-01T17:10:56.161479Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.161479Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:35f476c403287c6946d794283815c850b66c553458c8e6860a93627de9a0e59c","observation_id":"3e19d4ba-f50a-4c34-a7d4-f388ef4fa559","resolution":{"observed_at":"2026-08-01T17:10:56.161479Z","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":"2026-08-01T17:10:56.252160Z","title":"In: Proceedings of the 27th International Joint Conference on Artificial Intelligence","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.252160Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:d08b067a54e61560b7292b7f2f09737bd1f82f851ee36cf758001f98b55c0518","observation_id":"fb241874-e21b-42f7-97da-53a84f7e320f","resolution":{"observed_at":"2026-08-01T17:10:56.252160Z","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":"2026-08-01T17:10:56.345285Z","title":"Advances in neural information processing systems 28 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.345285Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:3ea85e9ef99a594b1e9cfc85d1a53fcf9d06f636b6602b7dd94d798be8fd1002","observation_id":"c77ef38f-399d-4d98-903d-32f9807d6a9f","resolution":{"observed_at":"2026-08-01T17:10:56.345285Z","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":"2026-08-01T17:10:56.406664Z","title":"In: 2022 IEEE 25th International Conference on Intelligent Transpor- tation Systems (ITSC)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.406664Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:7b4a4436097144ed53f439d79d14ea6fde36218920d285c69d2dd0fa5156be42","observation_id":"4b7af5ce-e72a-4c25-9505-caa3886e8666","resolution":{"observed_at":"2026-08-01T17:10:56.406664Z","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":"2026-08-01T17:10:56.464101Z","title":"Knowledge-Based Systems 286, 111406 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.464101Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:5f77b23be20765d879b0b1a4b3f4ec3d0d36469202d4dae34ed50a80c092ecee","observation_id":"ad0b2704-b84c-415a-92e6-286207a95b20","resolution":{"observed_at":"2026-08-01T17:10:56.464101Z","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":"2026-08-01T17:10:56.548785Z","title":"Information Sciences 697, 121767 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.548785Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:f51eec067d395ebf527bf45fee81ee738856fed9a2ec363bd30cc65455c3afd0","observation_id":"d712dca2-4b8e-4a9a-8bf1-3ff31adef48a","resolution":{"observed_at":"2026-08-01T17:10:56.548785Z","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":"2026-08-01T17:10:56.611274Z","title":"In: Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.611274Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:e458f56ef6e4f11fbaf537fe03411e983b18b3b58eda5c4de8cc4f2a8cbaefa9","observation_id":"9ff7fdf3-6010-4ccf-b14b-9f8743b7dd95","resolution":{"observed_at":"2026-08-01T17:10:56.611274Z","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":"2026-08-01T17:10:56.685095Z","title":"Accident Analysis & Prevention 39(4), 657--670 (2007)","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.685095Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:84175836ee63c2a2ddfb2f920e59e2dac98160e70027713c3ac2c569995c9f8f","observation_id":"c364a979-2f4d-4afa-92d5-f659be6bcf5e","resolution":{"observed_at":"2026-08-01T17:10:56.685095Z","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":"2026-08-01T17:10:56.733040Z","title":"In: 2009 international conference on measuring technology and mechatronics automation","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.733040Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:5314b9be35e08700f370e4c41d568c17931da07f50f08e067aebe70f175a3a94","observation_id":"a84d295b-c713-41b2-baee-9b248a5e02e8","resolution":{"observed_at":"2026-08-01T17:10:56.733040Z","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":"2026-08-01T17:10:56.792782Z","title":"China Communications 19(2), 214 --224 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.792782Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:9e1d1df950b9f873d636635a19dce47afb3a6bf4f59bb902f8c60b2368ba1020","observation_id":"e2b491b2-ba81-4b85-84a5-6db3761812a9","resolution":{"observed_at":"2026-08-01T17:10:56.792782Z","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":"2026-08-01T17:10:56.852713Z","title":"IEEE Transactions on Intelligent Transportation Systems 24(4), 3779--3794 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.852713Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:4d90b5a6c028d6cc5230ac6003d45f2cbd909439aa73c185df25baaea3a457fe","observation_id":"d74e6666-4f29-4185-ae1d-8a272463beae","resolution":{"observed_at":"2026-08-01T17:10:56.852713Z","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":"2026-08-01T17:10:56.912933Z","title":"Advances in neural information processing systems 30 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.912933Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:efe13992ec81ac10d788092f9abaf5bcabece45918d0bb96e4c3ced7c66abf06","observation_id":"200e5ecc-aa4f-493e-a3ad-4e697bc7fcea","resolution":{"observed_at":"2026-08-01T17:10:56.912933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.02908","last_updated":"2021-03-29T09:59:36Z","snapshot_observed_at":"2026-08-05T20:31:02.244623Z","submitted_at":"2020-01-09T10:21:04Z","title":"Spatial-Temporal Transformer Networks for Traffic Flow Forecasting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.02908","snapshot_observed_at":"2026-08-01T17:10:56.971504Z","title":"arXiv preprint arXiv:2001.02908 (2020)","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:56.971504Z"},"links":{"cited_paper":"/paper/2001.02908","citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:ca912fdc00d0e4c5ce93bfcee926cb43e06ed17ccb6abd18dc8e4c5d270dd81a","observation_id":"aeed8713-68c4-4cbd-9590-30591a25d9c1","resolution":{"observed_at":"2026-08-01T17:10:56.971504Z","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":"2026-08-01T17:10:57.054831Z","title":"Advances in neural information processing sys- tems 34, 22419--22430 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.054831Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:ac71846e8877ec4aa326c59877169f9ce25005657801401120e5183b3f90ced9","observation_id":"8041529b-c82b-4df4-815a-6899b5a021dc","resolution":{"observed_at":"2026-08-01T17:10:57.054831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.16859","last_updated":"2026-04-18T06:14:34Z","snapshot_observed_at":"2026-08-13T04:06:59.721765Z","submitted_at":"2026-04-18T06:14:34Z","title":"GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.16859","snapshot_observed_at":"2026-08-01T17:10:57.132622Z","title":"arXiv preprint arXiv:2604.16859 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.132622Z"},"links":{"cited_paper":"/paper/2604.16859","citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:141d041f8f858153f4c66c2c693692d25f2f30c574f7b751171ad6749bb898e5","observation_id":"088b7cb5-9a30-4156-a7a3-e002c5ff7b36","resolution":{"observed_at":"2026-08-01T17:10:57.132622Z","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":"2026-08-01T17:10:57.210317Z","title":"In: Proceedings of the Computer Vision and Pattern Recognition Conference","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.210317Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:956a98d9771f41b5c6de9c8e4e35b1cb49428d31ebacf85130e08d56466f0817","observation_id":"6366f526-512e-4357-a8dd-2ff4223217f9","resolution":{"observed_at":"2026-08-01T17:10:57.210317Z","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":"2026-08-01T17:10:57.297641Z","title":"In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.297641Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:bc537f37d77c75b83a1cb8192f454ebfdccc177c2c1916b24f2abbc6b4206c01","observation_id":"eaf6d1ec-ca76-4bad-b123-ef2d8b338bd9","resolution":{"observed_at":"2026-08-01T17:10:57.297641Z","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":"2026-08-01T17:10:57.378653Z","title":"In: 2008 International Symposium on Information Technology","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.378653Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:7e01c3f9350fa3f90e36893454d39656693b665538c52b1afe89943161227cdd","observation_id":"588bfe26-ef9c-417e-ba25-5830ab23ee70","resolution":{"observed_at":"2026-08-01T17:10:57.378653Z","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":"2026-08-01T17:10:57.427524Z","title":"In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.427524Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:4158d42cb95648fa5def19891a609ea58e21ced131ca1cdfbdfc148b2d1f9784","observation_id":"d97815dc-ff6a-469d-bad1-193efcdbe1a9","resolution":{"observed_at":"2026-08-01T17:10:57.427524Z","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":"10.1016/j.neunet.2011.07.003","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Neural Networks 25, 70 --83 (2012)","venue":"Neural Networks","work_id":"b8cee754-3e32-4e3f-8953-b9ed1a361c02","year":2012},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.489381Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:fe600a0bf80fcb21f2829fc790da2a0f9f4889f90c81887388b00349f33432ee","observation_id":"cb80b0a9-9b31-490f-813b-3556eecdccab","resolution":{"observed_at":"2026-08-01T17:14:18.244002Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-01T17:10:57.565868Z","title":"In: 2021 AAAI Con- ference on Artificial Intelligence (AAAI'21) (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.565868Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:92051e941ebf775b6c20842c839d1642934e188491d3e108341baa66b283b9aa","observation_id":"452ad75e-44dc-458a-a03e-5219547cbb29","resolution":{"observed_at":"2026-08-01T17:10:57.565868Z","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":"2026-08-01T17:10:57.670615Z","title":"IEEE Transactions on Knowledge and Data Engineer- ing 35(12), 12323--12336 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.670615Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:54ce67c4ceccaa8a02754735a76e13cdcef1cd788ebf6ef3145a259ea4264050","observation_id":"0423f0ee-3e21-442e-8d9d-2b7943992651","resolution":{"observed_at":"2026-08-01T17:10:57.670615Z","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":"10.24963/ijcai.2025/865","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25","venue":null,"work_id":"ac3ee876-74a6-4111-915a-4be477572bd4","year":2025},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.741665Z"},"links":{"citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:007e6582dd23c59c4389b679538fd22e9a54922cb9b081c74c11d814b9639670","observation_id":"4acfef4b-c768-4675-b2fd-97658b1a070b","resolution":{"observed_at":"2026-08-01T17:14:17.900066Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-08-17T20:47:46.242385Z","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":"2026-08-01T17:10:57.825041Z","title":"arXiv preprint arXiv:2312.00752 (2024), https://arxiv.org/abs/2312.00752","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T17:10:57.825041Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2607.18353"},"observation_digest":"sha256:b179b98ff1b61f8a9ed63d70fd0e6bc99bccf4c0dea90a11b3628979767e756d","observation_id":"b9dce1a4-0a81-4a37-a900-f9d9ffa26f14","resolution":{"observed_at":"2026-08-01T17:10:57.825041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.18353","last_updated":"2026-07-20T09:17:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-20T19:30:36.319032Z","submitted_at":"2026-07-20T09:17:58Z","title":"MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":26},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.18353."}