{"as_of":"2026-08-16T11:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba75ace6190602ddd71f54a6759554a5fb31c2dc60b89c078ac60b9f110829c2","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:39:11.683540Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.02786/citation-record","integrity":"/paper/1908.02786/integrity","json":"/paper/1908.02786/citation-record.json","paper":"/paper/1908.02786"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:39:12.068244Z","title":"TRADEMARK: multimedia image database system with intelligent human interface,","venue":null,"work_id":"3e84d8b6-095a-4863-90b5-6742c097f0f8","year":1990},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.563489Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:3cda0b3390e9c0a10908dc8287d6b89b64a8a40f388eb3b95644e626aae97401","observation_id":"6b6b5b50-06fa-4e41-bfbe-c7821d9048f7","resolution":{"observed_at":"2026-08-14T14:39:12.071570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:12.055965Z","title":"Content-based retrieval for trademark registration,","venue":null,"work_id":"421acb25-ed6f-43f9-a00e-cd8189c62398","year":1996},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.567588Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:da01deb76c6f9d15126e3fdc8c100b43fa2d48575cef6aa9af0183d20f8b9118","observation_id":"4b0e817a-88dc-47e6-805a-359702207016","resolution":{"observed_at":"2026-08-14T14:39:12.060031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:12.044914Z","title":"Evaluation of a trademark image retrieval system,","venue":null,"work_id":"fdcf66cc-cb09-41ca-a2b2-7d597e6b2433","year":1997},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.570932Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:3af7e9b50aa0adf622bcd326d12ebd6f1c6859070f4e15428a72c521e074c78b","observation_id":"18a6e407-484c-4ebf-a07c-d451e8a49bae","resolution":{"observed_at":"2026-08-14T14:39:12.048953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:12.033513Z","title":"Trademark image retrieval using synthetic features for describing global shape and interior structure,","venue":null,"work_id":"712c91d3-b7ac-4feb-a18e-023061500a03","year":2009},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.574368Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:2e1052cc4986de1d7f4488b0d157d19ddb14a8103e62648d6e39eeb1304e4f8f","observation_id":"bb0b0cd5-a225-47ab-9675-6f3e8115e5c3","resolution":{"observed_at":"2026-08-14T14:39:12.037510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:12.021166Z","title":"Trademark image retrieval using an integrated shape descriptor,","venue":null,"work_id":"2080a806-b894-49e4-88de-6cfaeb178ce1","year":2013},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.578780Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:758ad2688593a2a59edf97e167233e72c8470bc584e333792fd62bd6789e12ef","observation_id":"7f542356-c936-4bf1-8ee5-49dd9519b4e5","resolution":{"observed_at":"2026-08-14T14:39:12.025996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:12.009272Z","title":"An effective solution for trademark image retrieval by combining shape description and feature matching,","venue":null,"work_id":"591fcbc1-1443-493d-a39d-dde9b59c86c3","year":2017},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.583277Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:a26fd44d009272fb828212968cc3dbbb30cfcc06649a17ba66a777f7e1fdfb2b","observation_id":"12f73e17-4685-4d92-9786-855382e7a95d","resolution":{"observed_at":"2026-08-14T14:39:12.013640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.997866Z","title":"Trademark image retrieval using hierarchical region feature description,","venue":null,"work_id":"93e4ce70-2d77-4141-bfbc-0d8fbd8b5c5f","year":2017},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.587416Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:9b34f5478a87b3d05708c9b4816a1970a62846e4917decadbf36f1a25869ad74","observation_id":"0ea3c5ae-dbec-4564-a72c-01ad152879b4","resolution":{"observed_at":"2026-08-14T14:39:12.002124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.987982Z","title":"Content-based binary image retrieval using the adaptive hierarchical density histogram,","venue":null,"work_id":"c30401c4-826c-4f40-8158-60fabe143dc3","year":2011},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.591334Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:dcadc83826646719874ad4906543a5f9fbbd6ea04c205b9123f02a87a2d086b9","observation_id":"9974c177-ca0e-43eb-a065-7970dd144323","resolution":{"observed_at":"2026-08-14T14:39:11.991448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.978604Z","title":"Near-duplicate image recognition and content-based image retrieval using adaptive hierarchical geometric centroids,","venue":null,"work_id":"aaf0a31b-dc25-4abf-8e42-0de092af97b4","year":2006},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.595220Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:3ec1be627000a9a74fcede1d9032ab672315732fa00a522374b63f233995950d","observation_id":"724c1bf1-94df-47a4-99c1-ba23c88b55f6","resolution":{"observed_at":"2026-08-14T14:39:11.981838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.968755Z","title":"Multi-object image retrieval based on shape and topology,","venue":null,"work_id":"993b82ac-ea86-4c41-aa21-87b4619f8306","year":2006},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.598968Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:f608ede76a063400626f9f14acf7a5917f13648c9c153f53241bbfe4e5d589aa","observation_id":"c7669121-7812-4940-94c4-408e2e2d7d08","resolution":{"observed_at":"2026-08-14T14:39:11.972051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.957407Z","title":"Geometry-based image retrieval in binary image databases,","venue":null,"work_id":"5c1aff13-e605-4461-aedc-f8f38f39d28c","year":2008},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.603810Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:09f680bfe7e65b47695578f186d115544400fd6f4ee11916774443f1803fe6f2","observation_id":"cd377f76-c697-4e24-9dd3-85b97f600a4b","resolution":{"observed_at":"2026-08-14T14:39:11.961456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.946153Z","title":"Recognition-by-components: a theory of human image understanding,","venue":null,"work_id":"c9bb6a88-bb1e-440e-9e84-e2ac66b214c9","year":1987},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.607766Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:5e3d10b841514c17c5c34f36d387cc39076efd0930844379f2307fa4ec77e66e","observation_id":"fefb6731-442a-4397-9ab6-722baf840bfb","resolution":{"observed_at":"2026-08-14T14:39:11.950180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.934837Z","title":"Tree edit distance: robust and memory- efﬁcient,","venue":null,"work_id":"ef81e4f1-2dee-43c6-a9d1-ff97d31bf496","year":2016},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.611345Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:be1f80e56f6c336196b57b81696c6d0d5e4cae499a63027d659f869d35cb93e9","observation_id":"9f16f424-327c-44df-aa2d-863e91363954","resolution":{"observed_at":"2026-08-14T14:39:11.938593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.923631Z","title":"Least squares quantization in PCM,","venue":null,"work_id":"332aadd8-6630-4576-8af0-cee7f042d1c4","year":1982},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.615310Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:979d41054dc679b1b37c8c64a3f384920d4bab39e3c9a105e10ee9259d0b2edc","observation_id":"bb3bd854-cafe-4a28-8aae-e12a284dcc0d","resolution":{"observed_at":"2026-08-14T14:39:11.927520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.912111Z","title":"Mean shift: a robust approach toward feature space analysis,","venue":null,"work_id":"9c2518d8-96ef-4ea2-aa0f-97ddd482d7d8","year":2002},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.619095Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:54899261e3fdd008e0d32f065bc8f0aafb3691244fa2d88fbef0c3375cdfb473","observation_id":"a7553ff0-092f-4ec0-b124-4e4ade8e60b1","resolution":{"observed_at":"2026-08-14T14:39:11.916325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.901460Z","title":"Matching hierarchical structures using association graphs,","venue":null,"work_id":"5fb0e104-f935-439c-919a-9800fb5d00b7","year":1999},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.623230Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:54ad7019c532afe8efd4d3a60bf77617e34855770935623303553979193609f8","observation_id":"2ef1880a-50f0-4bb6-8f6e-7c798ff0bb32","resolution":{"observed_at":"2026-08-14T14:39:11.904726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.891168Z","title":"Image classiﬁcation based on bag of visual graphs,","venue":null,"work_id":"c2b8d0e8-fb99-4c47-914e-417978ce6e7b","year":2013},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.627176Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:73a7c7396e9f3f185bb7bcb50ae1643429c1d3e0f2b31c53bc149879cd42bf09","observation_id":"77d60bbb-e70c-427b-bc96-e14defa6901f","resolution":{"observed_at":"2026-08-14T14:39:11.894523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.880569Z","title":"Graph-based bag-of-words for classiﬁcation,","venue":null,"work_id":"c7632a8a-1e31-447d-9dda-a1624be812ed","year":2017},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.630786Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:1b3191e6fdbeea82f6da959b409830af254a6457cd98faa5cce2cd0f514e83de","observation_id":"e788d7b0-9338-4628-9eb5-f5895a79187b","resolution":{"observed_at":"2026-08-14T14:39:11.884164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.870876Z","title":"An afﬁne invariant interest point detector,","venue":null,"work_id":"5366921e-5eb6-49c4-b41a-1a3a63a2a060","year":2002},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.635088Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:ef36bdd0fc4e2be1866e83551969c493bf72380a0ca3f1f652c32556e990f677","observation_id":"77628b7c-4867-4eaa-a950-a1c6d391224c","resolution":{"observed_at":"2026-08-14T14:39:11.874089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.859671Z","title":"Object recognition from local scale-invariant features,","venue":null,"work_id":"b65bb086-baf6-4494-8b18-f9a94106322e","year":1999},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.638745Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:21304df9d8412a65c6ad901bfc3b34ac4e670e6a8a404415955a5bd52f59c693","observation_id":"75ec6261-634d-43f2-9835-41b610cbc82e","resolution":{"observed_at":"2026-08-14T14:39:11.863569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.848469Z","title":"Trademark image retrieval using a combination of deep convolutional neural networks,","venue":null,"work_id":"8d4921b1-7797-4e43-a413-5d0ff4ee9e08","year":2018},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.642696Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:724100ce1a80f3ab72ca551bc7f1019021b728f066f9af4b5131b2a1ac4233fc","observation_id":"793013cf-b0a6-4e40-b3bc-cc9a296c7e6a","resolution":{"observed_at":"2026-08-14T14:39:11.852463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.837184Z","title":"Similar trademark image retrieval based on convolutional neural network and constraint theory,","venue":null,"work_id":"f2ea8e48-1112-42b9-a44f-eb4dbfdb5cc7","year":2018},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.646621Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:fd98ed18fe137f1270c54f72063bc4cc1785e1c0499383a5501e34b744fe02e9","observation_id":"bfe7a86b-55d8-46be-a4f7-53d9589e35cb","resolution":{"observed_at":"2026-08-14T14:39:11.841206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.825366Z","title":"A fast two-dimensional median ﬁltering algorithm,","venue":null,"work_id":"f1a5ef29-4293-4093-83ae-4e37c11bb614","year":1979},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.650371Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:88001722d9ba23968cff0c0664b4e6495f1f752058b9c391f79cc01c02a4c771","observation_id":"97534b39-d504-43ec-a7fd-58a6fda6c8b1","resolution":{"observed_at":"2026-08-14T14:39:11.829661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.813889Z","title":"Bilateral ﬁltering for gray and color images,","venue":null,"work_id":"7bee4f73-cf06-4de0-b194-7556ac0d6534","year":1998},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.653587Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:738c8280d38dbf5db4928db345eab2d3f5ee943e12dc20d95d09aea16363adf3","observation_id":"082df06b-70a0-47b8-a26d-a61fbc057576","resolution":{"observed_at":"2026-08-14T14:39:11.817826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.802859Z","title":"A threshold selection method from gray-level histograms,","venue":null,"work_id":"a735ed46-1efd-4ad2-99a9-c48a1d740e8c","year":1979},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.656805Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:94be4a0ba97ac1e78c37cb7e522316ddd572383c2c7278ea668c28dc36e127fd","observation_id":"7775d31d-257f-40f0-9967-57918a4ca5f4","resolution":{"observed_at":"2026-08-14T14:39:11.806591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.790796Z","title":"Topological structural analysis of digitized binary images by border following,","venue":null,"work_id":"af58821f-9094-474c-bf26-489f30c049aa","year":1985},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.660108Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:23c4e3847b20267f012a60486bf12940447e81d78849c1046c3c9717c5c7ea1a","observation_id":"9d0e83c4-58c8-4044-825c-7a2761f41a17","resolution":{"observed_at":"2026-08-14T14:39:11.794603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.780258Z","title":"Invariant image recognition by Zernike moments,","venue":null,"work_id":"50a49f9d-a320-4b46-8651-a1899e71c338","year":1990},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.663500Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:3e1809b21d8366653dd94a1bba10fa801b70e4857f8892af1a3a0f9ce2b09415","observation_id":"7d787d56-2c84-4cee-9876-bb72123bbf62","resolution":{"observed_at":"2026-08-14T14:39:11.783318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.769624Z","title":"A survey of shape feature extraction techniques,","venue":null,"work_id":"ab89fc49-8d1a-4e92-8c0b-1fd69dbb2391","year":2008},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.667061Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:512ef5d52452d90376f89bc0d6d9130fc6f208f405332d3b7790ebf80a3261e4","observation_id":"1175c7d1-5f01-4ae8-acb0-acb4eaff0884","resolution":{"observed_at":"2026-08-14T14:39:11.773177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.757370Z","title":"An analysis technique for biological shape. i*,","venue":null,"work_id":"f84daa74-3ce1-4813-b446-dc900404bece","year":1974},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.670188Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:f255ebc18a284dfa2a7d1052441d5149392e9eb392b47e1de631d2eefbd45780","observation_id":"202c4dc1-7dde-4f1c-9203-56306a155b56","resolution":{"observed_at":"2026-08-14T14:39:11.761598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.744797Z","title":"Liu and M","venue":null,"work_id":"5c8e7ea2-4072-4b75-8167-bb05f588f9c6","year":2009},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.673572Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:e02d7f44efa0ec0c89965d5ff5e38d193b761e3ffc9f3587a27c38f754034fc4","observation_id":"c8ad12d8-e05f-469b-a3a5-1810b527d3bf","resolution":{"observed_at":"2026-08-14T14:39:11.748807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.731886Z","title":"A region-based shape descriptor using Zernike moments,","venue":null,"work_id":"6edc21e4-08d7-421c-864f-39d7cae76894","year":2000},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.677013Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:7e2eef2f100ceb170569a39cc785969a9548a3e2091c4b86d1bab05f63fd5bea","observation_id":"843ce78a-ad32-4f68-9159-0a5655d403b1","resolution":{"observed_at":"2026-08-14T14:39:11.736739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:39:11.680073Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.680073Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:af6ee08f160ee1c5220b37f04485cda2138478454b08b0c78d134eeb919f3970","observation_id":"8ef7605c-8b78-4456-9e52-a16dfb0a1e3b","resolution":{"observed_at":"2026-08-14T14:39:11.680073Z","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":"2026-08-14T14:39:11.710064Z","title":"ImageNet: a large-scale hierarchical image database,","venue":null,"work_id":"04d5b49e-ef71-471c-8a8e-dd8adf84df1b","year":2009},"citing_paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:39:11.683540Z"},"links":{"citing_paper":"/paper/1908.02786"},"observation_digest":"sha256:873b9856848a9ab87124669f099fed5a28a95ee6bcdc5bff14f2a5c56ec3e50c","observation_id":"fb306bf9-6a4a-48b2-8245-9a4aa167d53c","resolution":{"observed_at":"2026-08-14T14:39:11.715616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.02786","last_updated":"2019-08-07T18:19:43Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T05:43:14.809606Z","submitted_at":"2019-08-07T18:19:43Z","title":"Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":32},"total_outbound_references":33},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.02786."}