{"as_of":"2026-08-12T05:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a248328bef46444ca245954659428de3400b95ed9871b88e6ab039dd0292cd5","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:04:16.176537Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2412.12525/citation-record","integrity":"/paper/2412.12525/integrity","json":"/paper/2412.12525/citation-record.json","paper":"/paper/2412.12525"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:04:15.922227Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.922227Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:5031740a52e4cab36d4b5ae907d704d44d8d12df4bec1683ee1018a65051be69","observation_id":"93e70ef6-a670-43bc-9b10-0bf53068582a","resolution":{"observed_at":"2026-08-11T14:04:15.922227Z","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":"2026-08-11T14:04:15.927834Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.927834Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:8e1f966790dcc98c1710fb358f69f1f58e0fa0b53f05ec58951adc266eba96c3","observation_id":"fd039c5e-5238-487c-a81a-f564bb5661bb","resolution":{"observed_at":"2026-08-11T14:04:15.927834Z","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":"2026-08-11T14:04:15.933442Z","title":null,"venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.933442Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:2f8fec04aaeca2ccc6cd116154f42a3df8f41c3cea33501813088d6a845c0f63","observation_id":"6e1fcf15-9e02-4f23-9420-fb79da25aeb4","resolution":{"observed_at":"2026-08-11T14:04:15.933442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.10934","last_updated":"2020-04-23T02:10:02Z","snapshot_observed_at":"2026-07-06T09:14:32.318388Z","submitted_at":"2020-04-23T02:10:02Z","title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.10934","snapshot_observed_at":"2026-08-11T14:04:15.938801Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.938801Z"},"links":{"cited_paper":"/paper/2004.10934","citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:fe530c9533f141217e972b3e583c3a8ba07e4301f2e9260c415e81423a4526e0","observation_id":"cb988870-af90-4d03-a5ff-8b57b95596cc","resolution":{"observed_at":"2026-08-11T14:04:15.938801Z","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":"2026-08-11T14:04:16.959088Z","title":"B.; Kreuzberg, L.; and Behnke, S","venue":null,"work_id":"a529fe3f-a1c4-4b8c-a5e2-39730a340d81","year":2024},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.944937Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:ad6c7ebcd7997606301225b5789439f09f4ec6ded01ead2d3841298bfbc94c27","observation_id":"3bd257e3-900a-41e6-8ae9-9851edd16fae","resolution":{"observed_at":"2026-08-11T14:04:16.964453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.943578Z","title":null,"venue":null,"work_id":"83500ce8-b63e-4c5e-b29b-ecbb30a820b3","year":2019},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.950086Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:c4cc36741aaa2d6de1936206e2ed0ad6efaf1b67858291254b6d170c2118cc96","observation_id":"6a9f6218-e164-461b-99ae-abab274b4787","resolution":{"observed_at":"2026-08-11T14:04:16.948446Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.927278Z","title":null,"venue":null,"work_id":"34c91b48-90c1-4a7e-ab69-df4d41401240","year":2018},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.955367Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:3276383acbdb26407a76e580b102c1936d39e98e7f1ef0bca849030aa26c77f9","observation_id":"5bcc2260-2b24-4cb2-a7d1-6765ec108dd1","resolution":{"observed_at":"2026-08-11T14:04:16.933016Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:15.960256Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.960256Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:8cdb9c2a2de8964ef84698a43a12f6c410ea6be50e975603cdf86cff5b8ee4bb","observation_id":"38c21436-5bd4-48b2-b0e6-a5c3614831ca","resolution":{"observed_at":"2026-08-11T14:04:15.960256Z","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":"2026-08-11T14:04:16.901279Z","title":null,"venue":null,"work_id":"62c36d73-8d54-45e5-9eeb-eef94de075aa","year":2022},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.966112Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:639ff8c9ff8e10153b38dd146b5f35fc508a4b066ab3990c0d3ab8bbffeb7234","observation_id":"752d639b-e6af-4472-89a5-3fdd239865b0","resolution":{"observed_at":"2026-08-11T14:04:16.906479Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08499","last_updated":"2020-01-31T13:35:45Z","snapshot_observed_at":"2026-08-09T11:27:22.265967Z","submitted_at":"2020-01-23T13:40:51Z","title":"A Large Scale Event-based Detection Dataset for Automotive","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08499","snapshot_observed_at":"2026-08-11T14:04:15.970916Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.970916Z"},"links":{"cited_paper":"/paper/2001.08499","citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:2094009c5bba3c0c1b8ddabea41fb931976445f59d5584313e59ebf9d847f0c4","observation_id":"35827f12-5ee3-4093-82a5-86bb4afdc5b2","resolution":{"observed_at":"2026-08-11T14:04:15.970916Z","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":"2026-08-11T14:04:16.885790Z","title":null,"venue":null,"work_id":"a88fb07a-8324-4fc3-83a8-b396bb85a447","year":2024},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.976821Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:19c51e2607fe3d6c21dc8ac45271abebc9700589bd539740700b5a6545c258d3","observation_id":"229c21f9-2102-4c31-b767-697a4a615c57","resolution":{"observed_at":"2026-08-11T14:04:16.890887Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:15.982339Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.982339Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:7deb9e3fff916e5c3552d58e601fb5a6da2187c030ff6233615a28cfdcae1476","observation_id":"6c6f2330-8a56-487f-b107-3748572285a5","resolution":{"observed_at":"2026-08-11T14:04:15.982339Z","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":"2026-08-11T14:04:15.987089Z","title":"J.; Conradt, J.; Daniilidis, K.; et al","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.987089Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:6b82d032189a158f970e552bd9d0db13120329eddd4ea973e32cc0bb7c89c1e9","observation_id":"d1ae725a-52c7-433c-a85b-cf04926c004d","resolution":{"observed_at":"2026-08-11T14:04:15.987089Z","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":"2026-08-11T14:04:15.991399Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.991399Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:4e900276cd273114bff438812ff01342da8f810a05c4083a97144c577b4fc183","observation_id":"74e46781-5df3-49bc-a0f2-9c5d31942f3f","resolution":{"observed_at":"2026-08-11T14:04:15.991399Z","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":"2026-08-11T14:04:16.839849Z","title":null,"venue":null,"work_id":"4f226349-500f-4fa9-899a-16d37fcac5da","year":2011},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:15.995787Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:e349f7fa57fc485fb76692b558b3e7a6a84c3884ffac69f252718e6ab0569fec","observation_id":"7627be08-f316-4391-a0b2-27d4f8f8241a","resolution":{"observed_at":"2026-08-11T14:04:16.844696Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.823176Z","title":null,"venue":null,"work_id":"85406494-2bf4-418c-bd25-47a5aa86a53a","year":2023},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.000250Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:fd5719aea90ce52ed111ade10373d3932bf47e6cf5392f69e7d85e16b96348d4","observation_id":"6a319a71-4198-4257-bb5f-f55856b82964","resolution":{"observed_at":"2026-08-11T14:04:16.828508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.004989Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.004989Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:8cacac0c71e7d10f5cf4f7216d21fc6955a701e903718e793b7fe01f0151dbb7","observation_id":"377dbb35-8775-4ac7-ae9a-ea1fb3207761","resolution":{"observed_at":"2026-08-11T14:04:16.004989Z","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":"2026-08-11T14:04:16.795271Z","title":null,"venue":null,"work_id":"5ccac5f4-d4ab-47a9-8147-234e61c71965","year":2020},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.010270Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:24ab46de19efbfb3178ac05f09843c83b716c697a61b00efc2db45e525e6d805","observation_id":"7687797b-a62f-4209-857f-7775e25db50a","resolution":{"observed_at":"2026-08-11T14:04:16.800272Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.016170Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.016170Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:144bf45bbaecd22ae4eac5ad9b2a7cd33fb7e85f208f422eb721c9605a9c463c","observation_id":"a1c53e52-ff4c-4470-b107-43559b9930ce","resolution":{"observed_at":"2026-08-11T14:04:16.016170Z","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":"2026-08-11T14:04:16.768880Z","title":null,"venue":null,"work_id":"e693e479-7c69-47cb-917a-9011540c57fe","year":2018},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.022834Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:dd825dafaa86fa97a17752fa581e7b17d6e900ae90cb1687ea850f7b54dcc1f9","observation_id":"4c34e4b9-8e20-4557-8c44-28915ea8b450","resolution":{"observed_at":"2026-08-11T14:04:16.773651Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.028547Z","title":"P.; Young, C.; Patil, N.; Patterson, D.; Agrawal, G.; Bajwa, R.; Bates, S.; Bhatia, S.; Boden, N.; Borchers, A.; et al","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.028547Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:78aa99895a9d85d32836e44d538d592c4a03787fffd3fb8da8ae140e6c070aeb","observation_id":"7ffb81d2-946d-4492-b8d4-ba380f4aaa74","resolution":{"observed_at":"2026-08-11T14:04:16.028547Z","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":"2026-08-11T14:04:16.742823Z","title":null,"venue":null,"work_id":"46a28028-3a77-4dc9-83ec-d33fd8064680","year":2020},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.034645Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:bfb5e3741750ed346f39e6af631681a83d469f2712e43f61c866d36b94dc2465","observation_id":"753d9133-7951-4ddf-95fe-ea1a05044a73","resolution":{"observed_at":"2026-08-11T14:04:16.747810Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.039700Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.039700Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:5d8dcdc3b9d213b1b43c0a3737bb9bc36ad332a100975a7cd494c75b33be737d","observation_id":"49a9f5a8-b8ea-4f30-9833-781fd68d6651","resolution":{"observed_at":"2026-08-11T14:04:16.039700Z","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":"2026-08-11T14:04:16.717899Z","title":null,"venue":null,"work_id":"89a35e23-b6e3-4604-ace0-2a233b4a569d","year":2022},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.044627Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:b6a019fb9a6b74cf97eb15aee9344d373dd43f0146fb16425fd3c0cb2244c350","observation_id":"d315a472-6c9e-4353-b599-71377c8c02d3","resolution":{"observed_at":"2026-08-11T14:04:16.722259Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.02702","last_updated":"2022-07-06T14:18:44Z","snapshot_observed_at":"2026-08-09T19:10:56.929437Z","submitted_at":"2022-07-06T14:18:44Z","title":"Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.02702","snapshot_observed_at":"2026-08-11T14:04:16.049832Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.049832Z"},"links":{"cited_paper":"/paper/2207.02702","citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:bd61166b77867735df606ba96a70cfd49ba53f4d1f322d63acd9f54cf24431a1","observation_id":"38192c66-b679-4586-9551-278c7cab7aad","resolution":{"observed_at":"2026-08-11T14:04:16.049832Z","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":"2026-08-11T14:04:16.702991Z","title":null,"venue":null,"work_id":"e0eb130f-da46-4d4b-b31e-b8d68949508f","year":2021},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.055807Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:6300215cffc4d786761c8054947b4531ec8948bf6e9755988afdc9fb53c7db40","observation_id":"dfc0b8fd-5496-4638-980a-f07f8da9c869","resolution":{"observed_at":"2026-08-11T14:04:16.707629Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.686964Z","title":null,"venue":null,"work_id":"35ea2f1b-91e9-4e09-a56d-6869871e7092","year":2008},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.060583Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:00516523a21d7eea33a412f32adb62fa2466b98a136d0ed7e103aa1bc9db2838","observation_id":"28f71970-336c-4e19-a663-637f58e0ebe9","resolution":{"observed_at":"2026-08-11T14:04:16.692325Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.669833Z","title":null,"venue":null,"work_id":"ac3c743e-08b3-4d4b-b07b-daab9023d0c8","year":2018},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.066774Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:c0e5f8d8dedc2942f8382b5327c81566a9e6b2b0a50062e2ed641d0ba35d1941","observation_id":"ae14fac4-d848-4689-a63c-3069566ddb5c","resolution":{"observed_at":"2026-08-11T14:04:16.674819Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.071506Z","title":"L.; Hannun, A","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.071506Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:0837715fd13084d258d478cc800e59933c6f7e606c0b969f972b5a9023e871b2","observation_id":"77b25c3a-d8ac-4804-b95f-35a3946d7071","resolution":{"observed_at":"2026-08-11T14:04:16.071506Z","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":"2026-08-11T14:04:16.076098Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.076098Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:fa1d84abccff289efb17ba4ceea9a05c89cf3446260967c16398480d3a23ebc4","observation_id":"5e1820e0-3719-44c9-aa00-1b1ea5ee53c7","resolution":{"observed_at":"2026-08-11T14:04:16.076098Z","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":"2026-08-11T14:04:16.633067Z","title":null,"venue":null,"work_id":"06400c47-481e-4900-be2c-d506be71ace4","year":2024},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.081497Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:022916474f775db697ae21ad28e1c9b3aa64f4bde5959cec134adbdb66dca58a","observation_id":"cd1ce3a6-d5a4-47a2-a6b9-6d7f0381b208","resolution":{"observed_at":"2026-08-11T14:04:16.638444Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.611595Z","title":null,"venue":null,"work_id":"8e5c639e-14d3-4c84-9c45-54de3a7c364b","year":2020},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.086849Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:d869c8fb82d167dde8d52dc1f44a94df9b74edfdbeef614b287950c0a6619cc4","observation_id":"0c5dda9d-1ffb-4ff4-a1c9-908871751110","resolution":{"observed_at":"2026-08-11T14:04:16.618098Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.594262Z","title":"M.; and Roy, K","venue":null,"work_id":"b158314a-e189-4bc5-abfc-bf2cce73b0b9","year":2023},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.091615Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:eee6325117df72a0583af913c15e511981b9e834f0a22874653ce98d746e05f6","observation_id":"05e0c652-c167-46d9-8e03-52ff436a8e71","resolution":{"observed_at":"2026-08-11T14:04:16.599853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.096428Z","title":"O.; Mostafa, H.; and Zenke, F","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.096428Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:3e276a925af4756d7e6658da5cb775db779e82a288f4018eec34b243a2b05bca","observation_id":"f58b9ea0-f256-43bd-ae17-2140c43bf268","resolution":{"observed_at":"2026-08-11T14:04:16.096428Z","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":"2026-08-11T14:04:16.560590Z","title":null,"venue":null,"work_id":"87be454f-f8ae-4028-a4d5-4a6d8de00742","year":2008},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.101042Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:70a00e8f69106235acf3e9ac40f3509bcacbf66e797a7839c3466000b3befee9","observation_id":"c86839b0-11e3-422e-b6b9-bcb46d398ade","resolution":{"observed_at":"2026-08-11T14:04:16.566051Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.535850Z","title":null,"venue":null,"work_id":"ceb48407-6a63-4ae6-a457-d53251fb93b3","year":2023},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.106152Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:0923287494c6525d58f6116ab8ee9b0c274ac6ae63648b9b18fac1f7f72cf8ac","observation_id":"66bbfc70-b80e-4007-a112-1ba9d3bee27d","resolution":{"observed_at":"2026-08-11T14:04:16.542488Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.110957Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.110957Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:6937ba6fda533bbf61af130f2c53ed3182d6eb21154d2b17063053927f8914f5","observation_id":"202cea21-a778-4fe8-80bc-cc55afdf8cc2","resolution":{"observed_at":"2026-08-11T14:04:16.110957Z","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":"2026-08-11T14:04:16.116823Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.116823Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:be77fa41752203763204fad5f5573c922dc2f6f1dcfd9333af517ba2984396b1","observation_id":"ccedab98-e7fd-48fe-a22d-a41776abefba","resolution":{"observed_at":"2026-08-11T14:04:16.116823Z","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":"2026-08-11T14:04:16.474807Z","title":null,"venue":null,"work_id":"20299d22-3617-4276-96cb-446fb11d28d1","year":2018},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.121550Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:7b6755754fbb9f767caf91b457fac1a015da9c9365b0054738ded882c9253f19","observation_id":"6f1cb40c-0538-4d6f-8878-92eee91844c3","resolution":{"observed_at":"2026-08-11T14:04:16.480518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.456108Z","title":null,"venue":null,"work_id":"23609582-872b-48f9-a265-3d2872ceb7a5","year":2021},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.126278Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:b3a96d824e24a2e405e7d4c2c1a1a57b4b3ffa86488131a763d017cbe09a3d9b","observation_id":"fa09708e-1ae5-4bc3-846b-3bf77ed20b66","resolution":{"observed_at":"2026-08-11T14:04:16.463140Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.131956Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.131956Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:0f23739fb39e748396a56e8193741da237c47b4c7db6347a23108ba1195cda4d","observation_id":"1ecf9659-f7f8-4ec3-a00c-c23fcb9daefc","resolution":{"observed_at":"2026-08-11T14:04:16.131956Z","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":"2026-08-11T14:04:16.139679Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.139679Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:2ead9aa19a9f89ad375ac60b7824272fc150734a793f63d45aa03dd50b809ba7","observation_id":"59c7f3e6-c10b-45bc-ad98-f1c981e2778e","resolution":{"observed_at":"2026-08-11T14:04:16.139679Z","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":"2026-08-11T14:04:16.403608Z","title":null,"venue":null,"work_id":"ce743286-590f-4853-8583-9a525c872da8","year":2016},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.145052Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:9f72e860e4b0f6086c422c350e2010d04a305b42da48544752dba549fcb610b8","observation_id":"4494f9d3-25d6-4984-81b0-6c7f759ef677","resolution":{"observed_at":"2026-08-11T14:04:16.409480Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.383809Z","title":null,"venue":null,"work_id":"df74e912-98e8-48a4-8d22-1a7eb8490753","year":2024},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.150182Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:3f377f6e8288d5a8b87ec54197f19dfcd8d1c6477de598342c800cad23522635","observation_id":"6f9c58b0-e9ea-412e-9a95-c274bc778dbb","resolution":{"observed_at":"2026-08-11T14:04:16.391680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.361515Z","title":null,"venue":null,"work_id":"712888b7-0a5f-453b-bac2-1207d39312cb","year":2024},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.157138Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:38b7b3c96a9aa63ef4ccd6e3b3328d4f5d648aecd52891e0b9da9829bd149bd9","observation_id":"78def44f-e2f0-4c70-854e-fc5dd7c6c912","resolution":{"observed_at":"2026-08-11T14:04:16.367873Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.341337Z","title":null,"venue":null,"work_id":"99a08fdb-ebad-4f41-ad7a-7145d9557215","year":2021},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.162110Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:13b0ec315414b0edee94ebb3ea2c9c0508815bb8795c0c77a71dbe21f125d293","observation_id":"f1dc0d56-9641-493f-a05a-029bc745d049","resolution":{"observed_at":"2026-08-11T14:04:16.347609Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.312946Z","title":null,"venue":null,"work_id":"63ec3295-c294-47aa-b15b-5b178b6b28ad","year":2023},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.167524Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:e8920c7cb07ab4c063191133ee6f44d9c2439cdd3496db6e62fdf71ebc72d9c3","observation_id":"6052a958-eb7e-4bc5-bd31-b1eaca0a6a19","resolution":{"observed_at":"2026-08-11T14:04:16.321818Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T14:04:16.176537Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","version":3},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T14:04:16.176537Z"},"links":{"citing_paper":"/paper/2412.12525"},"observation_digest":"sha256:2b5c9aa3110d11439efc779b4b30cba958fbe4ab00da845d8e3de151587a8b99","observation_id":"5471eebc-b167-4e2e-9cbb-8c40edb829c1","resolution":{"observed_at":"2026-08-11T14:04:16.176537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.12525","last_updated":"2025-01-19T08:06:33Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T13:57:30.571586Z","submitted_at":"2024-12-17T04:33:31Z","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":46,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":48},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.12525."}