{"as_of":"2026-08-10T14:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57fe52029b5aac55ef06dc14b7fddcba705bc4ef3b98ade61e3a483f6e556c9a","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:00:04.373634Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2506.20070/citation-record","integrity":"/paper/2506.20070/integrity","json":"/paper/2506.20070/citation-record.json","paper":"/paper/2506.20070"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.00424","last_updated":"2023-06-01T08:04:12Z","snapshot_observed_at":"2026-08-03T22:49:06.583614Z","submitted_at":"2023-06-01T08:04:12Z","title":"End-to-end Knowledge Retrieval with Multi-modal Queries","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00424","snapshot_observed_at":"2026-08-06T23:00:03.982036Z","title":"End-to- end knowledge retrieval with multi-modal queries,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:03.982036Z"},"links":{"cited_paper":"/paper/2306.00424","citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:1563f84d92f91a2b94c2fc46506abdfdc507903884f5d6467958b07754e2c7ce","observation_id":"3a15adc6-27ca-46c0-8274-58b27343fcfa","resolution":{"observed_at":"2026-08-06T23:00:03.982036Z","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":"2026-08-06T23:00:05.800206Z","title":"Weakly-supervised semantic guided hashing for social image retrieval,","venue":null,"work_id":"ed24541e-d7ff-4909-a07c-fc9bf5522ad1","year":2020},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:03.990985Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:9f55b12c19607a0708860a28ca3ee130623fa0a1a7b76c18e9ba26d376eff854","observation_id":"a8441901-8bb0-4cd7-b08d-9775e9d1e37f","resolution":{"observed_at":"2026-08-06T23:00:05.805715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.783034Z","title":"Weakly supervised video moment retrieval from text queries,","venue":null,"work_id":"4dfe5f9a-d7cc-4e6f-8d7b-3638780f21b7","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.001129Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:4984fd8b4144b7240281fb09082650fcce19959d8531f1350d85a4e5a57343f6","observation_id":"0624f13f-7f78-44c9-b448-e03c2e8aba41","resolution":{"observed_at":"2026-08-06T23:00:05.788238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.764185Z","title":"Structure label prediction us- ing similarity-based retrieval and weakly supervised label mappingstruc- ture label prediction,","venue":null,"work_id":"d6120526-f5ee-4813-9747-3d3a67bc13b5","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.009021Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:38245d8169a19bf833473caf224f79917ff570e059032101cce646521ef14016","observation_id":"c38b2322-f215-415a-bdb2-7d3529c6c7c4","resolution":{"observed_at":"2026-08-06T23:00:05.769999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.743919Z","title":"Open-learning framework for multi- modal information retrieval with weakly supervised joint embedding,","venue":null,"work_id":"6719d2ba-1d1c-4502-8e36-5f350ae5c186","year":2022},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.016236Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:e70b87acc96d80ff3b1e54ffc97fbaae31164b308a4e0673bfc706c84319504a","observation_id":"632561ab-5c7d-43b7-a3ad-1b8a23ba9fae","resolution":{"observed_at":"2026-08-06T23:00:05.751132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.724269Z","title":"Mars: A video benchmark for large-scale person re-identification,","venue":null,"work_id":"19f3f399-b5b8-46ee-b944-603c58672a21","year":2016},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.023232Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:78c96f67889bc128d4d0f5b71fcfbaa09c9ae79a88f72e79f5092a3372b152fc","observation_id":"93a1ca94-76b8-4c04-9ebd-2d65f69f7a8b","resolution":{"observed_at":"2026-08-06T23:00:05.730173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.707454Z","title":"Feature centric multi-modal information retrieval in open world environment (femmir),","venue":null,"work_id":"abdd1547-ff67-49c8-bfaf-dc7fbc51844c","year":2023},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.035926Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:3da4084b5385906e252c16bda18eaf06370d467933178ac5442d54bc57340c44","observation_id":"94664aa5-5cc6-4d05-a0ee-ebad983183df","resolution":{"observed_at":"2026-08-06T23:00:05.712863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.690213Z","title":"A new approach to cross-modal multime- dia retrieval,","venue":null,"work_id":"c523da29-8d3f-4e61-9842-8c2180e5cb6f","year":2010},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.042912Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:1960b4e421d1ce2c511ded204a22a851c744ce3b037c5fef929e8902ede7f109","observation_id":"31c70dd3-aef4-4e52-b04c-36ad54f560b0","resolution":{"observed_at":"2026-08-06T23:00:05.695681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.672408Z","title":"Multi-view canonical correlation anal- ysis,","venue":null,"work_id":"59b7e64a-ed89-479e-ad16-b95ffe869b57","year":2010},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.051152Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:8bcae0f4e6f29348f23c46e63d2339d9aa7b14d88847811b8f2c4308ca2cd54f","observation_id":"71e468e1-7b11-4b63-8d05-83e3aa04a930","resolution":{"observed_at":"2026-08-06T23:00:05.677684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.654287Z","title":"Generalized semi- supervised and structured subspace learning for cross-modal retrieval,","venue":null,"work_id":"4ae79339-5f05-4b7b-9122-42882a04a828","year":2017},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.058196Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:235dca7def9806053b3c1aa941bb39a8dbe531b6bd291ebd3a280363aec28148","observation_id":"c6215c0b-fdbd-467f-aa39-60cbe27751ba","resolution":{"observed_at":"2026-08-06T23:00:05.660610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:04.064178Z","title":"On deep multi- view representation learning,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.064178Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:82e6b030976cab60ff40db01b4f97ed019d0bc6ca3fdd308199e034bf5ae6b46","observation_id":"e398d3aa-dffe-4cc2-a736-13960d73f414","resolution":{"observed_at":"2026-08-06T23:00:04.064178Z","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":"2026-08-06T23:00:05.622951Z","title":"Multi-view deep network for cross-view classification,","venue":null,"work_id":"3fcf4e4a-4aeb-428e-a403-030b25c6b487","year":2016},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.075444Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:f7d5947e61fe38aa16fb3ab788e9e99a72261eefc7e5539812e4169794605201","observation_id":"100ff462-74e2-4c53-b5a4-802ccc73c311","resolution":{"observed_at":"2026-08-06T23:00:05.630186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.603399Z","title":"Ccl: Cross-modal correlation learning with multigrained fusion by hierarchical network,","venue":null,"work_id":"37764a5a-30f6-464b-a618-bc8d9be7e766","year":2017},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.082425Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:ceef432ce9b9c05c119b2b5f129dfbaefd4f69eddada70cf9b4f966b06db327b","observation_id":"680d147a-5091-43a7-9a1f-d224ce46ea38","resolution":{"observed_at":"2026-08-06T23:00:05.609484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.585657Z","title":"Cross-media shared representation by hierarchical learning with multiple deep networks,","venue":null,"work_id":"b8de783e-b180-422c-8b28-0a50cb822c85","year":2016},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.089073Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:dcec14c71df75474696da723b7b1af2839cb0a448af29a3248e349f5b12a46ee","observation_id":"a941e1d9-c14d-4cfa-a548-3f315e8c2269","resolution":{"observed_at":"2026-08-06T23:00:05.591056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.05612","last_updated":"2018-07-29T19:11:57Z","snapshot_observed_at":"2026-07-06T05:51:36.145913Z","submitted_at":"2017-07-18T13:51:32Z","title":"VSE++: Improving Visual-Semantic Embeddings with Hard Negatives","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.05612","snapshot_observed_at":"2026-08-06T23:00:04.096586Z","title":"Vse++: Improv- ing visual-semantic embeddings with hard negatives,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.096586Z"},"links":{"cited_paper":"/paper/1707.05612","citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:acc5db3965b3585c509a9a6f55be2faa148c47a72b82202b5617cffd068dfeaa","observation_id":"994d7f37-3662-4626-aa93-94e10fa8221e","resolution":{"observed_at":"2026-08-06T23:00:04.096586Z","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":"2026-08-06T23:00:05.567010Z","title":"Deep adversarial metric learning for cross-modal retrieval,","venue":null,"work_id":"aada8d41-5fd2-4f46-a7b6-1fa8c082edd0","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.103722Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:515ac90f4f0d6dfe44528fe6d3e858d1d8bbcab3ddb2fed7e1df838ecdafb655","observation_id":"804e9a0f-637e-4883-88e1-dc2630b3d152","resolution":{"observed_at":"2026-08-06T23:00:05.572943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.548543Z","title":"Universal weighting metric learning for cross-modal matching,","venue":null,"work_id":"8871d2af-9b43-4735-8a0c-9b729f558726","year":2020},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.110545Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:1dd8816a3fa6b03ee551c0ca93e136327d786f69719f83224b8df85222b62a86","observation_id":"417a76ed-cc2f-4c3e-b495-a023e33ecf09","resolution":{"observed_at":"2026-08-06T23:00:05.554601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.528190Z","title":"Applying machine learning and data fusion to the “missing person","venue":null,"work_id":"6b31cf20-6788-406b-b30a-273e1dd81a88","year":2022},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.119826Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:470035f23728209770ff5d8b4d4a09d47bb88d1f56371c667366b2aabdb685a3","observation_id":"ba4fd78d-1918-4257-bab5-2a7982d2de75","resolution":{"observed_at":"2026-08-06T23:00:05.534307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.509527Z","title":"Fellbaum, WordNet: An Electronic Lexical Database","venue":null,"work_id":"b6a5400f-765f-4f84-ac7d-1203ec84c6b2","year":1998},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.125761Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:e5a92b809e02988bf0b8fb4e9c2f00943a31545c8782b3359724c42faf6cdede","observation_id":"884a6b74-5c64-4b53-b64a-960834fbaf0d","resolution":{"observed_at":"2026-08-06T23:00:05.515585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.491068Z","title":"Surveillance video querying with a human-in-the-loop,","venue":null,"work_id":"764781c9-3bb2-43f8-ac42-3903679a2c00","year":2020},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.133057Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:e7bd714ce87cf6720dc1af750a25f42d9a15bc3cbbe182d5fc6e8ec661f9cae6","observation_id":"1998a67c-dd65-4882-9d40-c48d394d5d9e","resolution":{"observed_at":"2026-08-06T23:00:05.496301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.472397Z","title":"Bipartite graph matching for computing the edit distance of graphs,","venue":null,"work_id":"2359adf5-efe4-46a2-bf18-6ec0788e674f","year":2007},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.142692Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:690d797b96066690ed131240c8a00c5bb933b27ee3aaddd214b42735d5f7ddde","observation_id":"38fc77ae-cce2-449b-83cf-180bf29c37e3","resolution":{"observed_at":"2026-08-06T23:00:05.477873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-06T23:00:04.148641Z","title":"Semi-supervised classification with graph convolutional networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.148641Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:e20ea2b06897272d8211c2df79103ed7853d51f026425bca8c3feec99a0905dc","observation_id":"60b7b51d-92b1-4737-97a6-87d3e7c97699","resolution":{"observed_at":"2026-08-06T23:00:04.148641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.05689","last_updated":"2020-03-01T19:10:52Z","snapshot_observed_at":"2026-08-10T09:11:18.828111Z","submitted_at":"2018-08-16T22:02:15Z","title":"SimGNN: A Neural Network Approach to Fast Graph Similarity Computation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.05689","snapshot_observed_at":"2026-08-06T23:00:04.157468Z","title":"Graph edit distance computation via graph neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.157468Z"},"links":{"cited_paper":"/paper/1808.05689","citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:68df49d4c604ca56797303e2400a57400f6239d29d7c8066337458ba9abb5b49","observation_id":"b5fc6951-625b-4916-8640-ef40675452cb","resolution":{"observed_at":"2026-08-06T23:00:04.157468Z","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":"2026-08-06T23:00:05.454126Z","title":"Graph based shapes representation and recognition,","venue":null,"work_id":"89c678ae-a8a8-4101-a099-29d516c9f3bf","year":2007},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.165838Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:0274e230dcd06309ee029409c088d91c90bbfe9a5dff5fb8d9eba560d1d1c969","observation_id":"e41ee783-375a-4665-9e80-c7934b85c5ae","resolution":{"observed_at":"2026-08-06T23:00:05.459993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.426993Z","title":"Reasoning with neural tensor networks for knowledge base completion,","venue":null,"work_id":"203ff85c-e805-4d5b-9e2b-b596765631e5","year":2013},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.174077Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:e1146887a06a1ee1eae1172b7c28785c246cdfd5251b5c969f73bef4d0ea84cd","observation_id":"e7b93a15-fb2c-450c-8b93-bd612e99c3ab","resolution":{"observed_at":"2026-08-06T23:00:05.433450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:04.179955Z","title":"Efficient estimation of word representations in vector space,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.179955Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:9f9025bd58c7ba1927204e2bc2c686819796f028b53c85b47b68135f52d97658","observation_id":"99bb8bc0-2bb4-4c96-ab10-59b3fcb6a483","resolution":{"observed_at":"2026-08-06T23:00:04.179955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"cmp-lg/9406033","last_updated":"1994-06-24T03:05:36Z","snapshot_observed_at":"2026-08-02T21:44:56.016283Z","submitted_at":"1994-06-22T01:51:05Z","title":"Verb Semantics and Lexical Selection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"cmp-lg/9406033","snapshot_observed_at":"2026-08-06T23:00:04.185987Z","title":"Verb semantics and lexical selection,","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.185987Z"},"links":{"cited_paper":"/paper/cmp-lg/9406033","citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:898011303a623e5cc5ac645c5142f24aa44256edd94c2768431b057e45c6d907","observation_id":"30e7ab5b-595f-480e-a468-64037e9eaee9","resolution":{"observed_at":"2026-08-06T23:00:04.185987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.00161","last_updated":"2019-08-31T07:42:11Z","snapshot_observed_at":"2026-08-09T21:06:10.260284Z","submitted_at":"2019-08-31T07:42:11Z","title":"Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.00161","snapshot_observed_at":"2026-08-06T23:00:04.195389Z","title":"Benchmarking zero-shot text classifi- cation: Datasets, evaluation and entailment approach,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.195389Z"},"links":{"cited_paper":"/paper/1909.00161","citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:6d25e8ea031a966568b600a907e5e20e12bb73d0bdb81465e0e779125c115f4f","observation_id":"7a03c362-ba3a-4215-a965-88b38faebab9","resolution":{"observed_at":"2026-08-06T23:00:04.195389Z","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":"2026-08-06T23:00:04.203029Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.203029Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:3b4aea9a8657b17267543a1fbee607c291817d85fedf7be423b097de7bd245fe","observation_id":"dd76085d-d4f2-419a-8b70-000e224fb319","resolution":{"observed_at":"2026-08-06T23:00:04.203029Z","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":"2026-08-06T23:00:04.208744Z","title":"Nltk: The natural language toolkit,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.208744Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:d4487ac17c135e0d4555137a1b3f672ecf3f79631434571a85197e9d536a21a5","observation_id":"2f086e49-8646-4111-b800-28225a157ecb","resolution":{"observed_at":"2026-08-06T23:00:04.208744Z","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":"2026-08-06T23:00:05.383058Z","title":"A broad-coverage challenge corpus for sentence understanding through inference,","venue":null,"work_id":"13c50e62-d775-43dc-9f20-1ec1b94ace38","year":2018},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.215453Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:1c0f1da8785ee8d09179349e5ea0c595dcf4a9f5e8d4faad20cd7a59740dffd0","observation_id":"ba9246ba-7c04-4c1b-82f5-c013f637f872","resolution":{"observed_at":"2026-08-06T23:00:05.389254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.05742","last_updated":"2019-10-28T05:40:12Z","snapshot_observed_at":"2026-07-06T07:27:18.873280Z","submitted_at":"2019-01-17T11:52:39Z","title":"A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition","version":2},"cited_work":{"arxiv_id":"1901.05742","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.05742","snapshot_observed_at":"2026-08-06T23:00:04.821047Z","title":"A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition","venue":"cs.CV","work_id":"33a7b5cc-056b-4f8f-9632-45f65b31e7c1","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.220754Z"},"links":{"cited_paper":"/paper/1901.05742","citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:29bf23e5a13e7fd79be4a820a0919258b55f6b2645a0fca3ff2ec180a1219701","observation_id":"76ecd3c0-80c1-4d7f-a99b-db4edf34dd95","resolution":{"observed_at":"2026-08-06T23:00:04.826667Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.364567Z","title":"Recurrent convolu- tional network for video-based person re-identification,","venue":null,"work_id":"fd8e1e40-fb59-4fbe-b0ed-540e9b2a4c2f","year":2016},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.227301Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:6895b3e21b861d0a3c0e22db9f830d7d82f370786c6fab7b08837f8294cc3c1c","observation_id":"e18e2956-f2a6-43bd-ae42-d3c7fe303448","resolution":{"observed_at":"2026-08-06T23:00:05.370961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.347332Z","title":"3d convolutional neural networks for human action recognition,","venue":null,"work_id":"c4761685-2d93-4f35-a8c8-6ca265239621","year":2012},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.234350Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:ffec53d2b3afe8f4bbc9e80695d146894e7eca00f8064a81f49def99d73055b9","observation_id":"43875131-9da4-4f5a-b2a4-adf574d1bf3d","resolution":{"observed_at":"2026-08-06T23:00:05.352802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:04.241400Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.241400Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:9f20eba77fbe26012a1670f985b786ae53cd76a2b5d4b9612333ef5d7093a521","observation_id":"751d92ba-1166-4e80-86f9-13f5292467d2","resolution":{"observed_at":"2026-08-06T23:00:04.241400Z","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":"2026-08-06T23:00:05.312609Z","title":"A new benchmark and approach for fine-grained cross-media retrieval,","venue":null,"work_id":"189c7bee-8107-4b20-8536-5e5e01c6118a","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.247884Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:4634ff93a074450ed37a90614b935fb5167c6a803bd09adb88ba79947adff40e","observation_id":"315fdfdc-74de-43dc-95c2-e22ab65dbb55","resolution":{"observed_at":"2026-08-06T23:00:05.319728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.292789Z","title":"Scalable deep multimodal learning for cross-modal retrieval,","venue":null,"work_id":"30cf2af4-847b-43d7-aeec-9f0d225e654b","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.255894Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:ba92d72d0c7864e22c94abe86ae67a1b3a3d52d620e38c0d8e99be62ab1e34d3","observation_id":"5acb502c-c388-4fe9-be8b-b8d85a359dcd","resolution":{"observed_at":"2026-08-06T23:00:05.299832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.268788Z","title":"Multi-label cross-modal retrieval,","venue":null,"work_id":"8b862e50-1447-4ceb-b805-9ce7fd47e1cf","year":2015},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.270427Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:926f8a8b2ed66f90302406402b4f67a910f8314a043dbfbd8ca33a4fe9f4ace8","observation_id":"33b8f52c-c8d0-4e17-954f-48e134e64cb1","resolution":{"observed_at":"2026-08-06T23:00:05.276512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.249385Z","title":"Adversarial cross-modal retrieval,","venue":null,"work_id":"53139cb8-ae40-45f5-b3ae-2451f551c032","year":2017},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.276897Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:28a1e9316b20ab865528298c61fd54c21fe8e97b3f9d242cc91a4f8bfe755179","observation_id":"7b71bfab-49c0-4d54-8fe9-d89d37b316d2","resolution":{"observed_at":"2026-08-06T23:00:05.254627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.232149Z","title":"Deep cross-modal projection learning for image- text matching,","venue":null,"work_id":"0d71f79e-671d-42b2-9c1e-8f121ce5d2b7","year":2018},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.282813Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:1a5a8adb4f0570258b1d7214e797f01edfebdb09e8309803b986d01dbbb197f8","observation_id":"ef107291-d742-4557-a5d4-365b36a824a6","resolution":{"observed_at":"2026-08-06T23:00:05.237860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.211969Z","title":"Deep coupled metric learning for cross-modal matching,","venue":null,"work_id":"4cce28c4-d792-4dd3-a39e-d5f5965813fb","year":2016},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.288897Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:a5a6353c69df850aee4ff56a2fcd1ca836bf9bf5147347cf15ff4ff8643ae1e3","observation_id":"95718d7b-43e8-4045-ad5f-7c16264b6a9b","resolution":{"observed_at":"2026-08-06T23:00:05.217408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.194537Z","title":"Devise: A deep visual-semantic embedding model,","venue":null,"work_id":"a754113a-5056-46c8-8a4c-55878a6fd88e","year":2013},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.295306Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:9ebdf291199efa721fee122d8629f83226b5c6926f81ee260bccd4c0ebbdec54","observation_id":"0a455fe2-1915-4037-9d01-db3e2d9b7e3a","resolution":{"observed_at":"2026-08-06T23:00:05.200488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.174640Z","title":"Stacked cross attention for image-text matching,","venue":null,"work_id":"d9f41266-a7f6-4092-8c8a-636ec3c4df1e","year":2018},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.302329Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:334abee2c9f1dbb4bb8ce6475fc337149e3ab5e31ab35bf0717fcb8c481cb924","observation_id":"10f86874-b6df-4efe-818c-0bea2c6bfbbc","resolution":{"observed_at":"2026-08-06T23:00:05.180352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.153928Z","title":"Visual semantic reasoning for image-text matching,","venue":null,"work_id":"964fdd54-c3b8-46ab-a3c3-4606422e3d3a","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.308758Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:d74fbb96d4f0bc52d83ceb259178ac33d7f53b2bf05c4e24a130255e3d409c9b","observation_id":"588b1674-0f49-4f7d-9010-46677cc84094","resolution":{"observed_at":"2026-08-06T23:00:05.160312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.132466Z","title":"Polysemous visual-semantic embedding for cross-modal retrieval,","venue":null,"work_id":"f6e96a58-ecc6-4486-b94f-8fd0d71c990b","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.320964Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:fed2dba7dad265efc6292692b1aec0619a6af7d896ec43e00c2d686b37805223","observation_id":"88d09219-0598-41c6-88e3-93b968b0edec","resolution":{"observed_at":"2026-08-06T23:00:05.139003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.112226Z","title":"Aligned attention for com- mon multimodal embeddings,","venue":null,"work_id":"1168f6a5-5478-4d9f-96ca-8cee0f681491","year":2020},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.326534Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:5820851e1a40089ccc696abdd0ac12a9a719d6df9470f68aad8dd6addf521f68","observation_id":"3de1f32a-009c-4d21-b142-f2b0e95bb3d4","resolution":{"observed_at":"2026-08-06T23:00:05.117769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:04.331485Z","title":"Dice: Data discovery by example,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.331485Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:46670bb936f58b4bf9aa54b12997863770db2a3f30d01da214a2b85ff9ed64f2","observation_id":"77de08ef-9c35-4da5-b218-75850d5ad1f0","resolution":{"observed_at":"2026-08-06T23:00:04.331485Z","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":"3873.33269","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:00:04.590086Z","title":"Multimodal multimedia retrieval with vitrivr,","venue":null,"work_id":"33a1322c-45b1-42cd-a638-2d353476155d","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.337330Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:95fd4c0dbc8ebfcd5c95515e27e7ee4cdbffaadee72377d842a7e35dd9e2bcb9","observation_id":"768725dc-ddea-4fd3-a614-de103c2d8970","resolution":{"observed_at":"2026-08-06T23:00:04.603316Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:04.343028Z","title":"Query by example for cross-lingual event retrieval,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.343028Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:d590874c45ea10ab648c63aff1431978d1b7d6b9cc0ad30467baee18cbb774ca","observation_id":"6af06581-6deb-4aa4-8ec3-7cf2dd8c3bd6","resolution":{"observed_at":"2026-08-06T23:00:04.343028Z","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":"2026-08-06T23:00:05.094815Z","title":"Wip - skod: A framework for situational knowledge on demand,","venue":null,"work_id":"1ccc87d0-221e-4839-b132-17e8a6d1a8d4","year":2019},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.349143Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:a15c63fbc2f13a7b53eec2a11942bb37fa3f965be2bacc2af07e8cec878fe59d","observation_id":"2c430936-fb09-4ef4-b216-b73b4f95f6e9","resolution":{"observed_at":"2026-08-06T23:00:05.100428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.076980Z","title":"Multimedia search and retrieval using multimodal annotation propagation and indexing techniques,","venue":null,"work_id":"36ebc3fd-cb17-4b25-9803-2159006527a6","year":2013},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.358206Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:ca795f77704d8ab08dc73e54733dca48f37f76b6f727d5e5de8394964a4ad412","observation_id":"4b2187cd-8287-48c0-8a71-fed44c862c15","resolution":{"observed_at":"2026-08-06T23:00:05.082647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.057528Z","title":"Combining rich features and deep learning for finding similar sentences in electronic medical records,","venue":null,"work_id":"5ffee844-cb8d-4258-8ce8-fe7bc157e4c7","year":2018},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.366715Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:9b50c5e64c5d269741ddc0bf2b272c7767bde0a0acc52fe2c073bd28efef1a53","observation_id":"39a4f924-9288-4b7b-9b97-2494a40f627b","resolution":{"observed_at":"2026-08-06T23:00:05.063959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:05.037673Z","title":"Finding similar examples for aiding academic writing using sentence embeddings,","venue":null,"work_id":"c3455b26-8b9f-4933-8f90-d7a1112bb2f4","year":2020},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.373634Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:0c285e7a9bbbbc6e16c5ccc737b7ea15c02d83129d016728447d98654c4da434","observation_id":"9df44fef-5184-49a8-a979-1953a9ae5e33","resolution":{"observed_at":"2026-08-06T23:00:05.043644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:00:04.261391Z","title":"Available: http://doi.acm.org/10.1145/3331184.3331213","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision","version":1},"reference_index":644,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:04.261391Z"},"links":{"citing_paper":"/paper/2506.20070"},"observation_digest":"sha256:5c7444566a61a2d9ae4b08d7ceb17175b541c12dbf1960c0e17386a3019feeac","observation_id":"f31a3b26-0360-47cb-a8c3-ae13cd4aac9c","resolution":{"observed_at":"2026-08-06T23:00:04.261391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.20070","last_updated":"2025-06-25T00:25:08Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-06T22:55:03.551711Z","submitted_at":"2025-06-25T00:25:08Z","title":"Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":14,"verified_exact":1,"verified_fuzzy":38},"total_outbound_references":54},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.20070."}