{"as_of":"2026-08-11T22:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:370b248fcf77fc29b04f94423d843e223470576b276a7e93b12a1a241b96ca2b","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:11:22.870584Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"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/2501.02640/citation-record","integrity":"/paper/2501.02640/integrity","json":"/paper/2501.02640/citation-record.json","paper":"/paper/2501.02640"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:11:22.709786Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.709786Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:6cd28269085dbea6c5067f9e1fe397638f346e757dc65bcfbffacf9df96b27d5","observation_id":"fbc06bdd-580a-4e47-921d-ee4716e6966c","resolution":{"observed_at":"2026-08-10T22:11:22.709786Z","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":"2026-08-10T22:11:22.714425Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.714425Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:614601becaa80b031a5f7fabdb1e39fbbb5431d1752e090ff951908ac03e95c8","observation_id":"8017176a-5c74-431f-b262-9ef68e9c7e9a","resolution":{"observed_at":"2026-08-10T22:11:22.714425Z","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":"2026-08-10T22:11:23.340419Z","title":null,"venue":null,"work_id":"319bd8d5-2c45-4c25-a640-12424bb60b8c","year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.718984Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:d37ba0560abecdb798b5a7963d2dad62c3fbebeeac8e28c66670a9399802260d","observation_id":"3def3dde-d686-4897-8302-8e83e4e4d791","resolution":{"observed_at":"2026-08-10T22:11:23.344334Z","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":"2026-08-10T22:11:23.329172Z","title":null,"venue":null,"work_id":"ebf3e531-e0ab-48e1-b88c-15c380b476cc","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.722931Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:1b85ef9f42e42c6ab3b7ff79dfc97eec98bc5945b9b118308a062aa7c4dd4c0f","observation_id":"ab64e176-dcc1-453c-88dd-709d6385ab50","resolution":{"observed_at":"2026-08-10T22:11:23.332758Z","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":"2026-08-10T22:11:23.318332Z","title":null,"venue":null,"work_id":"01f15509-8a08-46ed-afe0-a9ae7a20f04a","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.727187Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:eabb8a2157c3eee3c13f4d2e4b3504acf6eff69f41fe6850e135a84a50d73a05","observation_id":"e7bda679-73ae-4159-b1fa-6bd74fb00417","resolution":{"observed_at":"2026-08-10T22:11:23.321666Z","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":"2026-08-10T22:11:23.306558Z","title":null,"venue":null,"work_id":"ef180fb2-7cb2-4732-ad41-2baef45e039f","year":2019},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.731993Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:775ce2417094e9661b51ddde834254fd4f1fa46c6932f75f24806812b539706f","observation_id":"3b79399d-b5bb-4800-926b-6c08e4f72246","resolution":{"observed_at":"2026-08-10T22:11:23.309990Z","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":"2026-08-10T22:11:23.296041Z","title":null,"venue":null,"work_id":"c96bcd09-500f-43d4-ac87-5ec2b52189a8","year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.736725Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:56f5ac06b5f756890cc8413100f664c546d7de97a1979e27a7e88b3958d657d9","observation_id":"f38d831c-eadf-451b-b36a-b60c94347095","resolution":{"observed_at":"2026-08-10T22:11:23.300050Z","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":"2026-08-10T22:11:23.284403Z","title":null,"venue":null,"work_id":"4e66d68b-8df7-426e-b928-45e3cf0d4e09","year":2015},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.741183Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:c25f2d5630aedb0e937a6010429e7aec7bc20639dfa7792e419e348801e115e7","observation_id":"425b0ebc-af53-499a-bcca-206ad7e7b36a","resolution":{"observed_at":"2026-08-10T22:11:23.288285Z","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":"2026-08-10T22:11:23.271711Z","title":null,"venue":null,"work_id":"77a473a0-326a-49c9-b1d3-38d951c83ea2","year":2021},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.746094Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:3599aa4f46f39af1443bfffc7575260e200d5361ffe1dab9a0a601c4e50f3d58","observation_id":"e26f18a7-1f68-4f0b-81df-4f85d34ba900","resolution":{"observed_at":"2026-08-10T22:11:23.275757Z","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":"2026-08-10T22:11:23.260435Z","title":null,"venue":null,"work_id":"4e093f3a-0128-4524-82e5-12b2416f1847","year":1952},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.750406Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:a8ca647943e4623d49c3fbd8a479ad0d7fbe24093738f24b86b8112a8f20e315","observation_id":"fad63a3d-a86b-4ef2-907c-c9fdf62c4610","resolution":{"observed_at":"2026-08-10T22:11:23.264162Z","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":"2026-08-10T22:11:23.249048Z","title":null,"venue":null,"work_id":"34966763-1343-4bba-994b-a73aeb45c52f","year":2021},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.754454Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:b577b0bdfb1a5cc85e65cddd1c4b500e927223a3a444cbde1cc19d4c52c2eb92","observation_id":"0f742fb9-eabd-4cdd-a55a-a4d7a56306da","resolution":{"observed_at":"2026-08-10T22:11:23.252965Z","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":"2026-08-10T22:11:23.237406Z","title":"U.; Park, S.; and Ro, Y","venue":null,"work_id":"967ec609-f537-4057-902e-1d552d81a2b5","year":2021},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.759220Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:b41da6994e9a90df8a5203534f8d71e69f4dbb32ad0c2d21f6086e2ad6248c46","observation_id":"7ac5fa10-5a23-43f6-b55b-0eb3adaa028c","resolution":{"observed_at":"2026-08-10T22:11:23.241242Z","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":"2026-08-10T22:11:23.227229Z","title":"U.; Park, S.; and Ro, Y","venue":null,"work_id":"756d70d1-3a8c-4cff-a6a2-db2efaf47d58","year":2021},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.762875Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:31a188db2ba226b1772fee89bb2e88ef3da7dcca9ce4561c2721b3c88f75d918","observation_id":"6e65385a-37d0-4725-955a-25a1cd608766","resolution":{"observed_at":"2026-08-10T22:11:23.230619Z","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":"2026-08-10T22:11:23.217288Z","title":"U.; Park, S.; and Ro, Y","venue":null,"work_id":"2c96f6f1-4de9-45e2-9da7-0ededb2aca14","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.767144Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:eec9b1f809625d79836c964ce1313a4435743bcca3e9124d139eb9657b36261b","observation_id":"6d6868c2-9bb3-4dbe-833d-4cb7cd144116","resolution":{"observed_at":"2026-08-10T22:11:23.220844Z","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":"2026-08-10T22:11:23.205000Z","title":"U.; and Ro, Y","venue":null,"work_id":"6ea4fd06-4d25-4249-8af1-1aa9031e3787","year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.770669Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:113d019380c499f37ae25224acb5c844762bb82f564fe2dba4765877564cb056","observation_id":"1c8ffcb5-c26f-4366-bf48-fed0fe636870","resolution":{"observed_at":"2026-08-10T22:11:23.209793Z","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":"2026-08-10T22:11:23.193151Z","title":"G.; and Ro, Y","venue":null,"work_id":"589297fa-2edb-446c-b695-8c8950626166","year":2024},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.774906Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:ad5f4263fd40e81718cb37e1cf7463b58f6c478641ac601f7d85c011dae427ab","observation_id":"e2814671-c3b3-4900-9909-d178ffc0849d","resolution":{"observed_at":"2026-08-10T22:11:23.197596Z","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":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-10T22:11:22.778949Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.778949Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:1862a0d360c2784aa75a834c599c4ee56eb57fa499bed7d12046e8da9bb2f921","observation_id":"085c871d-e71f-4d79-9d4e-5f591b673988","resolution":{"observed_at":"2026-08-10T22:11:22.778949Z","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":"2026-08-10T22:11:23.180761Z","title":null,"venue":null,"work_id":"23338843-97cd-4fc3-8a0c-16bb4516a9f0","year":2019},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.783295Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:eae60066b4447bbd30e7d81a97a9aca612be9c85a5b99094e61c4d40cebf325b","observation_id":"8b76dfb0-0cc0-4eb0-9dc8-c4c4dc9012d5","resolution":{"observed_at":"2026-08-10T22:11:23.184693Z","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":"2026-08-10T22:11:23.168928Z","title":null,"venue":null,"work_id":"58dfb617-4f8e-4a7e-a55c-2b9484d13c55","year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.788105Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:1c6462eddc9dc5faca9516cfdcea8fb8cbc93701d2c36a1619474edc32b34a0d","observation_id":"cf542b68-34ee-46a4-a9b6-e6063b5d3ce7","resolution":{"observed_at":"2026-08-10T22:11:23.172702Z","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":"2026-08-10T22:11:23.158841Z","title":null,"venue":null,"work_id":"f908d040-357c-469e-8e3e-a051cd218843","year":2016},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.792863Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:bce2c354823222267251aa8a53931c14970d16f208c2ac25a0d3ad21947c8ed4","observation_id":"7205588b-d09a-4ebb-ade1-5c41a2b996b3","resolution":{"observed_at":"2026-08-10T22:11:23.162145Z","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":"2026-08-10T22:11:23.148029Z","title":null,"venue":null,"work_id":"dad531d4-ca70-492f-8226-eb2ecb2ead91","year":2024},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.797305Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:9f95632dce80b348ec940fc242ce4de83468bb970b786cb6755243399590a44a","observation_id":"2ec9474b-4a98-4298-a751-8e7e2d3edde3","resolution":{"observed_at":"2026-08-10T22:11:23.152021Z","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":"1811.10862","last_updated":"2019-04-21T06:52:28Z","snapshot_observed_at":"2026-07-06T07:17:18.414572Z","submitted_at":"2018-11-27T08:14:02Z","title":"Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects","version":2},"cited_work":{"arxiv_id":"1811.10862","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.10862","snapshot_observed_at":"2026-08-10T22:11:23.030574Z","title":"Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects","venue":"cs.CV","work_id":"6e8815f2-c6c1-425f-b54f-d1f8c95ef242","year":2018},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.801858Z"},"links":{"cited_paper":"/paper/1811.10862","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:ca1939fd2db06087006c4afb598e8f7e91f388da595d862cdf279f95f6da5efa","observation_id":"ce3284b6-1065-4f82-8920-caf83841972e","resolution":{"observed_at":"2026-08-10T22:11:23.034525Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-10T22:11:23.134616Z","title":"H.; Kim, J","venue":null,"work_id":"492022d9-9a70-4660-9d9d-0733a4a2418c","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.806642Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:9e14b39fa3e729fe860a4de08a054bf6471def440276c0ddc36cdb8584f8f3fe","observation_id":"51d3aaf0-3ab2-4aed-9247-27342ce51651","resolution":{"observed_at":"2026-08-10T22:11:23.139238Z","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":"2026-08-10T22:11:23.124049Z","title":null,"venue":null,"work_id":"399b758c-0c28-48dc-bb56-f7daeaf4515f","year":2017},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.811630Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:3a79628f5ed79a488c77447739d8cff3a1b50aec70857af6e655a57af5534272","observation_id":"6b86081d-b123-4008-8408-c88125c26ffe","resolution":{"observed_at":"2026-08-10T22:11:23.127671Z","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":"2302.08268","last_updated":"2023-02-16T12:54:13Z","snapshot_observed_at":"2026-08-09T17:30:50.264118Z","submitted_at":"2023-02-16T12:54:13Z","title":"Retrieval-augmented Image Captioning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08268","snapshot_observed_at":"2026-08-10T22:11:22.816261Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.816261Z"},"links":{"cited_paper":"/paper/2302.08268","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:56328e2647ba30397d8f4f95f1d5a6f0ca2c99e735891191196ba82102f6bb72","observation_id":"813518f1-8ec1-4247-9ad4-29b913fad92c","resolution":{"observed_at":"2026-08-10T22:11:22.816261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.13162","last_updated":"2022-08-22T07:52:34Z","snapshot_observed_at":"2026-08-11T02:53:02.155397Z","submitted_at":"2022-07-26T19:35:49Z","title":"Retrieval-Augmented Transformer for Image Captioning","version":2},"cited_work":{"arxiv_id":"2207.13162","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.13162","snapshot_observed_at":"2026-08-10T22:11:23.003116Z","title":"Retrieval-Augmented Transformer for Image Captioning","venue":"cs.CV","work_id":"ade8433b-91e6-43b1-a4e2-c24f3470f85e","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.820457Z"},"links":{"cited_paper":"/paper/2207.13162","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:9ed360bbf75045c0277dc5de23536097577fa4533afde98f6ab694a17eeb33d9","observation_id":"e11bc156-eb2a-4754-bcb7-f4f046fd8131","resolution":{"observed_at":"2026-08-10T22:11:23.008080Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-10T22:24:05.831832Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-10T22:11:22.824477Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.824477Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:5c01b48d92d417d76f3f605fcd2852a6e7c96b0d337445aeaa0f69bef37b1775","observation_id":"3e4a54bd-a694-497f-8f45-222c6ac79999","resolution":{"observed_at":"2026-08-10T22:11:22.824477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.04620","last_updated":"2023-08-27T02:02:24Z","snapshot_observed_at":"2026-07-06T12:26:51.025323Z","submitted_at":"2022-01-12T18:57:04Z","title":"SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining","version":2},"cited_work":{"arxiv_id":"2201.04620","doi":null,"metadata_source":"pith","pith_arxiv_id":"2201.04620","snapshot_observed_at":"2026-08-10T22:11:22.973865Z","title":"SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining","venue":"cs.CV","work_id":"75673dc3-0cdc-4227-bcc8-f7860430a57a","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.828812Z"},"links":{"cited_paper":"/paper/2201.04620","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:50dd3f8996f7a0c2eb7b2713e1ebbce766b86d25d64437991301658e29b874a9","observation_id":"79fbcabd-83db-4480-abca-71bb4a7bb6fd","resolution":{"observed_at":"2026-08-10T22:11:22.978546Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2303.07582","last_updated":"2023-03-14T02:02:39Z","snapshot_observed_at":"2026-07-06T15:02:56.771199Z","submitted_at":"2023-03-14T02:02:39Z","title":"Calibrated Teacher for Sparsely Annotated Object Detection","version":1},"cited_work":{"arxiv_id":"2303.07582","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.07582","snapshot_observed_at":"2026-08-10T22:11:22.955830Z","title":"Calibrated Teacher for Sparsely Annotated Object Detection","venue":"cs.CV","work_id":"7b0bfadf-8850-4dcf-a5ea-03e7bca0e737","year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.832967Z"},"links":{"cited_paper":"/paper/2303.07582","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:3d91e8cf1fd89f51dfd019f2dca7da6fb7f861d35f420ace43354e6ad79f927f","observation_id":"3fd9bf71-35ba-40e7-8c4c-55c69b7005f0","resolution":{"observed_at":"2026-08-10T22:11:22.960814Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2012.01950","last_updated":"2021-10-14T10:55:41Z","snapshot_observed_at":"2026-07-06T10:20:23.655430Z","submitted_at":"2020-12-03T14:23:43Z","title":"Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection","version":2},"cited_work":{"arxiv_id":"2012.01950","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.01950","snapshot_observed_at":"2026-08-10T22:11:22.935328Z","title":"Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection","venue":"cs.CV","work_id":"7c09e8b0-519e-4ed8-8ece-c505b00869f2","year":2020},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.836947Z"},"links":{"cited_paper":"/paper/2012.01950","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:e91c188405d4619c1e04b6a50826c14dee730569a771d4b74321d54be3d6d2dd","observation_id":"f72c21e1-8281-456c-88b6-49b42944e0fe","resolution":{"observed_at":"2026-08-10T22:11:22.940140Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2209.01589","last_updated":"2023-03-28T14:15:08Z","snapshot_observed_at":"2026-07-06T13:48:38.811613Z","submitted_at":"2022-09-04T10:21:02Z","title":"Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection","version":3},"cited_work":{"arxiv_id":"2209.01589","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.01589","snapshot_observed_at":"2026-08-10T22:11:22.919583Z","title":"Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection","venue":"cs.CV","work_id":"950cebcc-dc13-447c-b92f-b75bc4893fa3","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.840968Z"},"links":{"cited_paper":"/paper/2209.01589","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:4f42c24377e9986f411d621b08dd43241747fdc5f7822537d36b87bf2bf8fe63","observation_id":"0d788b6b-ce0a-4b06-813a-509fb17b3087","resolution":{"observed_at":"2026-08-10T22:11:22.923819Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-10T22:11:23.111249Z","title":"M.; Cholakkal, H.; Nie, J.; Cao, J.; Laaksonen, J.; and Khan, F","venue":null,"work_id":"5d96b34d-dfd3-4123-8c69-7bfcdcf04e56","year":2022},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.845506Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:53bfcd05198e5fedf56aa239d5ce53b36e2c5c9b053f5b3513fcc2cd5165e7cb","observation_id":"480c03f3-1997-44a8-abf6-3615df1c4040","resolution":{"observed_at":"2026-08-10T22:11:23.115968Z","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":"2026-08-10T22:11:23.098006Z","title":null,"venue":null,"work_id":"6b194998-d04d-4344-9303-eddb15966917","year":2024},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.849328Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:49a06cf5962507ca6412b8388371e2e80d8546e15d669fa228b8b3e5e0a44766","observation_id":"2d56e3f9-b090-498a-8b37-961aef3300a7","resolution":{"observed_at":"2026-08-10T22:11:23.101912Z","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":"2026-08-10T22:11:23.086477Z","title":null,"venue":null,"work_id":"9fd19e53-6298-46a0-a508-a7fc26d73a85","year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.853539Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:384ea98e40ae4a76df5ed8da7782ce2572c6e3a418d8cdaad5327e5493841029","observation_id":"1371569b-a738-4f2b-8222-719bcd53c519","resolution":{"observed_at":"2026-08-10T22:11:23.090324Z","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":"2002.05274","last_updated":"2020-08-03T19:21:26Z","snapshot_observed_at":"2026-07-06T08:56:53.582830Z","submitted_at":"2020-02-12T23:11:46Z","title":"Solving Missing-Annotation Object Detection with Background Recalibration Loss","version":2},"cited_work":{"arxiv_id":"2002.05274","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.05274","snapshot_observed_at":"2026-08-10T22:11:22.902142Z","title":"Solving Missing-Annotation Object Detection with Background Recalibration Loss","venue":"cs.CV","work_id":"520c23ce-3d03-455c-bcd1-a0c28d25299b","year":2020},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.857451Z"},"links":{"cited_paper":"/paper/2002.05274","citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:59e6051df2faf9204c12cd5890465951ed871edca9cf7c975455f1312591bfe0","observation_id":"aabf60f7-2e72-4cd1-88eb-00e38e9a3beb","resolution":{"observed_at":"2026-08-10T22:11:22.907454Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-10T22:11:23.075038Z","title":null,"venue":null,"work_id":"54e6e2ce-13af-4f1b-9e88-5752db7cae10","year":2019},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.862307Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:6dffe38c538abcbd30b6aee78c4ec30452d356941f1d99d5bc2b094b21db1c09","observation_id":"1a9666bf-adf7-4edf-8e84-bf082f813a74","resolution":{"observed_at":"2026-08-10T22:11:23.078851Z","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":"2026-08-10T22:11:23.064601Z","title":null,"venue":null,"work_id":"c060888e-52ed-4132-b316-666da272cacf","year":2020},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.866335Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:674f66771fe319e43e86e18c64fd6f9b07888e162accdd1099354fb86a1f38e8","observation_id":"fd272cdd-1cd6-4279-92f3-198b1f1ac52c","resolution":{"observed_at":"2026-08-10T22:11:23.067943Z","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":"2026-08-10T22:11:23.052645Z","title":null,"venue":null,"work_id":"426d3425-7fa7-4a82-b899-71faa525d129","year":2023},"citing_paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T22:11:22.870584Z"},"links":{"citing_paper":"/paper/2501.02640"},"observation_digest":"sha256:e7a95d99caab82b410526e70bc9f82c1916cbdb8cd8a93ffd307e6f371aac332","observation_id":"c86ed105-c2ec-4104-b033-fb39086cef07","resolution":{"observed_at":"2026-08-10T22:11:23.057017Z","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"}}],"paper":{"arxiv_id":"2501.02640","last_updated":"2025-01-15T08:41:38Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T22:05:52.531180Z","submitted_at":"2025-01-05T20:05:10Z","title":"Multispectral Pedestrian Detection with Sparsely Annotated Label"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":24,"verified_exact":6,"verified_fuzzy":7},"total_outbound_references":38},"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 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.02640."}