{"as_of":"2026-07-31T14:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15d71f27b14f4a363dfb1650e93baeff831c46eda20a869687b7ac80bc142cbd","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-31T06:34:12.847434+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T06:33:12.448178Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T12:39:48.858101Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.07189","last_updated":"2024-01-23T08:20:05Z","snapshot_observed_at":"2026-07-06T16:30:55.043821Z","submitted_at":"2023-10-11T04:38:21Z","title":"SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition","version":2},"cited_work":{"arxiv_id":"2310.07189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.07189","snapshot_observed_at":"2026-07-04T12:39:48.858101Z","title":"Spikepoint: An efficient point-based spiking neural network for event cam- eras action recognition","venue":null,"work_id":"a28a7971-56f8-4ad5-8ff7-5c656188d872","year":2023},"citing_paper":{"arxiv_id":"2411.18328","last_updated":"2026-04-17T03:16:33Z","snapshot_observed_at":"2026-07-06T19:57:55.925634Z","submitted_at":"2024-11-27T13:28:57Z","title":"EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-23T16:33:11.271072Z"},"links":{"cited_paper":"/paper/2310.07189","citing_paper":"/paper/2411.18328"},"observation_digest":"sha256:9a758e08c68d371500f0080c4d4fdbf2d78739af80da897deafce7ada15656de","observation_id":"374fe67e-5130-453e-8942-5fac25c76c46","resolution":{"observed_at":"2026-05-23T16:35:42.322545Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07189","last_updated":"2024-01-23T08:20:05Z","snapshot_observed_at":"2026-07-06T16:30:55.043821Z","submitted_at":"2023-10-11T04:38:21Z","title":"SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition","version":2},"cited_work":{"arxiv_id":"2310.07189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.07189","snapshot_observed_at":"2026-07-04T12:39:48.858101Z","title":"Spikepoint: An efficient point-based spiking neural network for event cam- eras action recognition","venue":null,"work_id":"a28a7971-56f8-4ad5-8ff7-5c656188d872","year":2023},"citing_paper":{"arxiv_id":"2501.06786","last_updated":"2026-04-11T01:25:59Z","snapshot_observed_at":"2026-07-06T20:19:55.486841Z","submitted_at":"2025-01-12T11:48:19Z","title":"Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-23T05:19:28.832183Z"},"links":{"cited_paper":"/paper/2310.07189","citing_paper":"/paper/2501.06786"},"observation_digest":"sha256:805dbb06361283e5c2a221a6dca2095fd316aaea0e7b1fc0975bd2ff9627204e","observation_id":"017ec7a3-2185-4b0f-802d-557cacc2ea90","resolution":{"observed_at":"2026-05-23T05:22:35.228190Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07189","last_updated":"2024-01-23T08:20:05Z","snapshot_observed_at":"2026-07-06T16:30:55.043821Z","submitted_at":"2023-10-11T04:38:21Z","title":"SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition","version":2},"cited_work":{"arxiv_id":"2310.07189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.07189","snapshot_observed_at":"2026-07-04T12:39:48.858101Z","title":"Spikepoint: An efficient point-based spiking neural network for event cam- eras action recognition","venue":null,"work_id":"a28a7971-56f8-4ad5-8ff7-5c656188d872","year":2023},"citing_paper":{"arxiv_id":"2604.15718","last_updated":"2026-04-17T05:42:17Z","snapshot_observed_at":"2026-07-06T23:03:12.000381Z","submitted_at":"2026-04-17T05:42:17Z","title":"NeuroLip: An Event-driven Spatiotemporal Learning Framework for Cross-Scene Lip-Motion-based Visual Speaker Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T09:27:32.335117Z"},"links":{"cited_paper":"/paper/2310.07189","citing_paper":"/paper/2604.15718"},"observation_digest":"sha256:0a18a7470d5c7f743f70fabb885a89493791b1b726a9d96a2763b48162d029fe","observation_id":"aba62a3f-aa9e-46d4-8be5-f910f4d02b43","resolution":{"observed_at":"2026-05-10T09:28:38.674023Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07189","last_updated":"2024-01-23T08:20:05Z","snapshot_observed_at":"2026-07-06T16:30:55.043821Z","submitted_at":"2023-10-11T04:38:21Z","title":"SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition","version":2},"cited_work":{"arxiv_id":"2310.07189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.07189","snapshot_observed_at":"2026-07-04T12:39:48.858101Z","title":"Spikepoint: An efficient point-based spiking neural network for event cam- eras action recognition","venue":null,"work_id":"a28a7971-56f8-4ad5-8ff7-5c656188d872","year":2023},"citing_paper":{"arxiv_id":"2606.23078","last_updated":"2026-06-22T09:26:14Z","snapshot_observed_at":"2026-07-06T23:57:53.101659Z","submitted_at":"2026-06-22T09:26:14Z","title":"A Systematic Survey on Event Camera Representation Learning","version":1},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-06-26T06:33:12.448178Z"},"links":{"cited_paper":"/paper/2310.07189","citing_paper":"/paper/2606.23078"},"observation_digest":"sha256:c5e8c59439178158296b6602f14b9fb53f50e0ad7f415036556d15515fd203e4","observation_id":"2a023c9b-f655-4fa1-ad95-cc0e7771b3a5","resolution":{"observed_at":"2026-07-04T12:39:48.859654Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.07189/citation-record","integrity":"/paper/2310.07189/integrity","json":"/paper/2310.07189/citation-record.json","paper":"/paper/2310.07189"},"outbound":[],"paper":{"arxiv_id":"2310.07189","last_updated":"2024-01-23T08:20:05Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:30:55.043821Z","submitted_at":"2023-10-11T04:38:21Z","title":"SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition"},"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":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"thesis":"As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.07189."}