{"as_of":"2026-08-16T15:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ac6e0174bbae70f9c42b75fe2268a22f28ed431f4f529a928831c4248caceaee","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:44:59.437736Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"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/1908.00669/citation-record","integrity":"/paper/1908.00669/integrity","json":"/paper/1908.00669/citation-record.json","paper":"/paper/1908.00669"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:44:59.680018Z","title":"Ilsvrc-2012,","venue":null,"work_id":"1416530f-68a4-4601-bc91-46a39586046a","year":2012},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.364740Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:b8b99461c8ff68e64afc0ac197fc458d637fbebb01e30ad0a277cd19ca5d3693","observation_id":"d889c81a-3287-4fda-90bf-399aeaf1370a","resolution":{"observed_at":"2026-08-14T15:44:59.684445Z","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":"2026-08-14T15:44:59.373771Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.373771Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:5c423d7a68f0ebddf2a939953fedd576b16fe75161b536853862a4c03d53ff9f","observation_id":"82089856-032f-461f-8912-73c50997d56c","resolution":{"observed_at":"2026-08-14T15:44:59.373771Z","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":"2026-08-14T15:44:59.378270Z","title":"Fully convolutional networks for semantic segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.378270Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:2785091125816071a92b1940d6a7061c97113ad726d586a586aa4d555a2c0d89","observation_id":"309f991e-cdf1-490e-bb1c-521a200bcb74","resolution":{"observed_at":"2026-08-14T15:44:59.378270Z","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":"2026-08-14T15:44:59.643521Z","title":"Understanding convolution for semantic segmentation","venue":null,"work_id":"4bf7c274-bf3e-4eb7-bbcf-838141ed7c92","year":2018},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.382873Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:35b43a6fd077cbecf8841400f973deeeab79c1b824095d4e8e2420e83e859ec1","observation_id":"5631b1d6-18d1-4d01-bae8-7f0ecb34c590","resolution":{"observed_at":"2026-08-14T15:44:59.647657Z","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":"2026-08-14T15:44:59.632483Z","title":null,"venue":null,"work_id":"2e81ebb9-7150-4fe5-8187-001fb154273d","year":2016},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.386834Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:172c2d10c364967c823c3013630b6d2c0c761a9a5c1ba2a78737f7384cd26487","observation_id":"c6d41cff-b871-43c2-a28f-5ad82dfd7bf0","resolution":{"observed_at":"2026-08-14T15:44:59.636538Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-14T15:44:59.619903Z","title":"Deep learning advances in computer vision with 3d data: A survey","venue":null,"work_id":"ec2e7ed7-e777-40c8-bd96-49508eac2c5a","year":2017},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.391039Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:1aecaf61cac735aa8db0d2d16be3990b5a20111efa5c6a7e8c1012055034ea6f","observation_id":"ae3a04a1-6a3b-42e7-98a7-4c197d46fd90","resolution":{"observed_at":"2026-08-14T15:44:59.624042Z","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":"2026-08-14T15:44:59.608418Z","title":"Deformable convnets v2: More deformable, better results","venue":null,"work_id":"7e0e9572-cfa4-4313-a8c2-484ed992df4b","year":2019},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.394518Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:cc8ea1dae71c960081f8f54462a88ea1ce62ad71683d99ab8bf8d34820da8b21","observation_id":"8bc6651b-c912-40c1-a099-35296f25078b","resolution":{"observed_at":"2026-08-14T15:44:59.612219Z","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":{"arxiv_id":"1806.02705","last_updated":"2018-06-07T14:38:08Z","snapshot_observed_at":"2026-08-15T01:45:02.172200Z","submitted_at":"2018-06-07T14:38:08Z","title":"Efficient semantic image segmentation with superpixel pooling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.02705","snapshot_observed_at":"2026-08-14T15:44:59.398113Z","title":"Ef- ficient semantic image segmentation with superpixel pooling","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.398113Z"},"links":{"cited_paper":"/paper/1806.02705","citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:a1f78f148b29cab4557f0fd48d5dd2cc83a392386663e6b5862109480030dafc","observation_id":"ae17204c-ac9e-46af-9139-bace268062d0","resolution":{"observed_at":"2026-08-14T15:44:59.398113Z","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":"2026-08-14T15:44:59.596750Z","title":"Achanta, A","venue":null,"work_id":"df1ded84-5bdb-490f-b73f-2c2e622e234a","year":2012},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.402427Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:de326276ceffa6bb76bb0536d4358eeb7c83fa683ea1c60948f4431a06bc062e","observation_id":"2e1a30aa-abff-4e15-8dd2-4f98b9512722","resolution":{"observed_at":"2026-08-14T15:44:59.600692Z","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":"2026-08-14T15:44:59.585416Z","title":"Fast cloud image segmentation with superpixel analysis based convolutional networks","venue":null,"work_id":"bad0c8f8-4e9e-49a5-ab10-01f46b13640f","year":2017},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.405825Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:5ec5fadb7d6a622bfe7682fff785f87ec4af49e73f93754e006ce8a94df96202","observation_id":"295b3901-c2a6-42c9-b77e-a2f91b2d6751","resolution":{"observed_at":"2026-08-14T15:44:59.589630Z","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":"2026-08-14T15:44:59.574733Z","title":"Feedforward semantic segmentation with zoom-out features","venue":null,"work_id":"cfe36823-ac42-407e-b3b5-78b186ab998d","year":2015},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.409354Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:82adcae7c7a727e6b6a1f449a725337e7a164eecfd71840ddf6a3f7d9a6e2a49","observation_id":"04ccd995-4c7f-44ee-aaaf-c97ddeb986cf","resolution":{"observed_at":"2026-08-14T15:44:59.578748Z","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":"2026-08-14T15:44:59.563736Z","title":"Dynamic routing between capsules","venue":null,"work_id":"f9147850-49a1-4d98-bf29-a92a8ec78f40","year":2017},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.412971Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:10b71e78acf3383505bad8b558066ea941742fb8accaa9da93dc3dc50b695bdc","observation_id":"bce5e9b0-e288-4ed4-977d-8d9b361e24a0","resolution":{"observed_at":"2026-08-14T15:44:59.567628Z","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":"2026-08-14T15:44:59.551699Z","title":"U-net: Convo- lutional networks for biomedical image segmentation","venue":null,"work_id":"6e79fd7e-f2d1-4c3e-a504-562d2ae1d08d","year":2015},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.416428Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:5bb2a74e22941d8b590b4f487b6ab092d2177b90495f7587d4d91144c574fd8f","observation_id":"3a5c73dd-d58a-4047-902c-4d61904378de","resolution":{"observed_at":"2026-08-14T15:44:59.555881Z","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":"2026-08-14T15:44:59.540138Z","title":"Capsdemm: Capsule network for detection of munros microabscess in skin biopsy images","venue":null,"work_id":"23553f4e-5da5-435d-8850-c331f6309124","year":2018},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.420118Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:f8ea9919f2949e5ee818e71fda352c2d7c47e6492fb6528095574c1f34b10218","observation_id":"637ae177-f20b-4c52-847d-aadce3067635","resolution":{"observed_at":"2026-08-14T15:44:59.544030Z","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":{"arxiv_id":"1804.04241","last_updated":"2018-04-11T21:57:57Z","snapshot_observed_at":"2026-08-14T19:26:51.614355Z","submitted_at":"2018-04-11T21:57:57Z","title":"Capsules for Object Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.04241","snapshot_observed_at":"2026-08-14T15:44:59.423182Z","title":"Capsules for object segmentation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.423182Z"},"links":{"cited_paper":"/paper/1804.04241","citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:00a4e57038792da92298e531812fb1ed422f4bf4e1ddd3397aa19a33ae6295b6","observation_id":"1ea86f81-e6f3-4781-b925-0d87d2d8a7b8","resolution":{"observed_at":"2026-08-14T15:44:59.423182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.04232","last_updated":"2015-09-14T18:30:05Z","snapshot_observed_at":"2026-08-14T22:32:27.239071Z","submitted_at":"2015-09-14T18:30:05Z","title":"gSLICr: SLIC superpixels at over 250Hz","version":1},"cited_work":{"arxiv_id":"1509.04232","doi":null,"metadata_source":"pith","pith_arxiv_id":"1509.04232","snapshot_observed_at":"2026-08-14T15:44:59.467952Z","title":"gSLICr: SLIC superpixels at over 250Hz","venue":"cs.CV","work_id":"23ed3eeb-fa67-4f79-afac-464818e0e7e0","year":2015},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.426919Z"},"links":{"cited_paper":"/paper/1509.04232","citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:023f14fc9acecbb5f8617548839354fa460bd0360ad884c1a771db75f46af24e","observation_id":"25f266bd-cca0-4f1b-a1fa-9acb29d24ae1","resolution":{"observed_at":"2026-08-14T15:44:59.475374Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T15:44:59.527614Z","title":"Matrix capsules with em routing","venue":null,"work_id":"99510691-003f-4a3f-a020-c655c7298d7a","year":2018},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.430978Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:a446c8cdd5177cdab37de47a9105d3ec067395c643622057e459c8166ad32d33","observation_id":"6b2a2d88-22ea-4dd1-8e4a-925e3162b29b","resolution":{"observed_at":"2026-08-14T15:44:59.531995Z","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":"2026-08-14T15:44:59.516141Z","title":"Simonyan and A","venue":null,"work_id":"ff38c1a3-5678-4e97-b462-a51a35234ea2","year":2015},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.434223Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:d5e86300a30a2b8a341240cdbc31da15606865a41a3dd3ca7af88c835fca5f34","observation_id":"a53f72f0-0d84-48fc-8e02-ceaaefe11eae","resolution":{"observed_at":"2026-08-14T15:44:59.519918Z","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":"2026-08-14T15:44:59.504393Z","title":"Linnaeus 5 dataset for machine learning","venue":null,"work_id":"03410878-c2b0-4e02-8768-87cc1f5776a2","year":2017},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.437736Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:8d659492f880673748a5ea2f5f52bdec0d45f9f77239a920e9c4dfead3ebaffd","observation_id":"98470663-97fc-40f2-a5d3-8ca6b2f25182","resolution":{"observed_at":"2026-08-14T15:44:59.508389Z","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":"2026-08-14T15:44:59.668788Z","title":"image-net","venue":null,"work_id":"5e2ce236-0ff1-4346-aefa-1a27eedc799d","year":2012},"citing_paper":{"arxiv_id":"1908.00669","last_updated":"2019-08-02T00:40:27Z","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-14T15:44:59.369628Z"},"links":{"citing_paper":"/paper/1908.00669"},"observation_digest":"sha256:1a6ce67fbe121884992c4014e13a0ba3ff850bbd52fa8e9efdad3c8b4f0c52a4","observation_id":"a491d0c2-33d3-4c03-8a8a-73256127b365","resolution":{"observed_at":"2026-08-14T15:44:59.672822Z","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":"1908.00669","last_updated":"2019-08-02T00:40:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T15:13:51.974969Z","submitted_at":"2019-08-02T00:40:27Z","title":"Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":14},"total_outbound_references":20},"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 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.00669."}