{"as_of":"2026-08-18T07:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f21b38e1118e4ae7137118110494d58558f93f23f8117c4c6d8fb8daf4859ed","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:55:01.852755Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T20:59:35.082310Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.14909","last_updated":"2024-12-24T16:25:27Z","snapshot_observed_at":"2026-08-18T07:11:49.084557Z","submitted_at":"2024-08-27T09:35:49Z","title":"SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.14909","snapshot_observed_at":"2026-08-16T11:55:01.852755Z","title":"Spikingssms: Learning long sequences with sparse and parallel spiking state space models.arXiv preprint arXiv:2408.14909, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14371","last_updated":"2025-06-26T03:50:04Z","snapshot_observed_at":"2026-08-18T01:43:36.122379Z","submitted_at":"2025-04-19T18:14:35Z","title":"Efficient Spiking Point Mamba for Point Cloud Analysis","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T11:55:01.852755Z"},"links":{"cited_paper":"/paper/2408.14909","citing_paper":"/paper/2504.14371"},"observation_digest":"sha256:47a2e69c77667477d524a3a856e9da7908f5260854c3b539846f76f2d7d7a319","observation_id":"341daa51-d49d-4fc7-9bbe-e1a501c5cf96","resolution":{"observed_at":"2026-08-16T11:55:01.852755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14909","last_updated":"2024-12-24T16:25:27Z","snapshot_observed_at":"2026-08-18T07:11:49.084557Z","submitted_at":"2024-08-27T09:35:49Z","title":"SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.14909","snapshot_observed_at":"2026-08-16T10:38:10.580342Z","title":"Spikingssms: Learning long sequences with sparse and parallel spiking state space models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17751","last_updated":"2025-05-25T13:11:52Z","snapshot_observed_at":"2026-08-16T10:29:46.609471Z","submitted_at":"2025-04-24T17:09:59Z","title":"Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T10:38:10.580342Z"},"links":{"cited_paper":"/paper/2408.14909","citing_paper":"/paper/2504.17751"},"observation_digest":"sha256:279ab9cb41bac553a172cd7e8f23bba174d8d4b84e636aee90f5f7c77f376baa","observation_id":"bd912a0e-2582-4f70-b77a-7a07114e1385","resolution":{"observed_at":"2026-08-16T10:38:10.580342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14909","last_updated":"2024-12-24T16:25:27Z","snapshot_observed_at":"2026-08-18T07:11:49.084557Z","submitted_at":"2024-08-27T09:35:49Z","title":"SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models","version":2},"cited_work":{"arxiv_id":"2408.14909","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.14909","snapshot_observed_at":"2026-08-15T20:59:35.082310Z","title":"SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models","venue":"cs.CL","work_id":"87700e31-ee0c-4bde-9ed2-e06f2977d637","year":2024},"citing_paper":{"arxiv_id":"2505.11455","last_updated":"2025-05-16T17:10:11Z","snapshot_observed_at":"2026-08-17T22:31:08.981955Z","submitted_at":"2025-05-16T17:10:11Z","title":"ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:59:34.842711Z"},"links":{"cited_paper":"/paper/2408.14909","citing_paper":"/paper/2505.11455"},"observation_digest":"sha256:66c58b79b1839624c260f430a06af482188c16db1727fcc793bcd861ebd2fe13","observation_id":"a9feeae1-1176-4f07-8ec8-4cfbb822f505","resolution":{"observed_at":"2026-08-15T20:59:35.089423Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.14909/citation-record","integrity":"/paper/2408.14909/integrity","json":"/paper/2408.14909/citation-record.json","paper":"/paper/2408.14909"},"outbound":[],"paper":{"arxiv_id":"2408.14909","last_updated":"2024-12-24T16:25:27Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T07:11:49.084557Z","submitted_at":"2024-08-27T09:35:49Z","title":"SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.14909."}