{"as_of":"2026-08-07T18:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0be5bdbbec84c149911e0ca5b567d1fc03a14eff16795ca24b2dffb9495ed7ac","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:44:15.446070Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2507.07460/citation-record","integrity":"/paper/2507.07460/integrity","json":"/paper/2507.07460/citation-record.json","paper":"/paper/2507.07460"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:44:15.911737Z","title":"Maskomaly: Zero-shot mask anomaly segmentation","venue":null,"work_id":"ebf5b4f7-b9bb-476b-a294-d23733c639d5","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.300460Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:4640a78a1f66c0d4d37425f222f9e55e57f97f0c4ce0dd203785c6f2ce0f844e","observation_id":"518d857f-fd9b-4bf4-a45c-5c55a6d02727","resolution":{"observed_at":"2026-08-06T18:44:15.915030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.902010Z","title":"Anomaly detection in autonomous driving: A survey","venue":null,"work_id":"10b87775-c2dd-45c0-a480-eded172b168a","year":2022},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.304054Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:7479bdc91d5e399d5debcfc0f790ef3ccde7572b3c39c0a27a9442f59f93d4b8","observation_id":"b32b38d7-7a44-4552-ad74-09a935c19732","resolution":{"observed_at":"2026-08-06T18:44:15.905474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.892714Z","title":"Seg- mentmeifyoucan: A benchmark for anomaly segmen- tation","venue":null,"work_id":"c3ebc657-79ba-41ad-9301-765ea61bdfa7","year":2021},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.307506Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:9ec5f39ad80e26de0580b4954e4e9c95d599b86099c815e86a82e1e806577a58","observation_id":"206e9715-720c-48b6-90f6-55899ca9e450","resolution":{"observed_at":"2026-08-06T18:44:15.895839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.883149Z","title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","venue":null,"work_id":"e668dd01-80aa-49d4-866d-f7452a066380","year":null},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.310989Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:549ddb09341bde2c90813228c90583bd0f56e926dc9e7f05bf9652bf71f6cf55","observation_id":"0e857677-b9d5-4dc0-9462-f0b143b94af8","resolution":{"observed_at":"2026-08-06T18:44:15.886455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.873420Z","title":null,"venue":null,"work_id":"27390423-a224-4714-b3c8-f439bb9db81d","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.315050Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:6f66ee4aef3bc8b430f18e2ef09698f47988846ff5d30bbde0864b3c26f2e21f","observation_id":"642ba716-d2ce-436c-a5c8-20056bab154d","resolution":{"observed_at":"2026-08-06T18:44:15.876731Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.864545Z","title":"Per-pixel classification is not all you need for seman- tic segmentation","venue":null,"work_id":"41bea90a-edaa-4f29-bb2b-88214a6c7818","year":2021},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.319249Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:710a1c1329fb605981b82ab7718ec23317478e5313504a5491b498a10acb37db","observation_id":"e6fa8ffa-10d5-42b3-91e5-7259ece34767","resolution":{"observed_at":"2026-08-06T18:44:15.867674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.854415Z","title":"Masked- attention mask transformer for universal image seg- mentation","venue":null,"work_id":"2022e80d-6f5a-4e27-931e-cec5bb3c2e7f","year":2022},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.323318Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:d2c13b6691c7e474f4ff6b498fdfc0d2a2c9f41024921235fbdc8dca3c4d26ee","observation_id":"41edaaa3-2348-4edf-84d6-3771b9fba003","resolution":{"observed_at":"2026-08-06T18:44:15.858047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.845433Z","title":"Outlier detection by ensembling uncertainty with negative ob- jectness","venue":null,"work_id":"f2e0ab24-a1a3-4d9c-8245-74f153e15e04","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.326643Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:e991990492db0dcaa29fa3f93b2c3fd5968c6cd4bc9594c57597a3e8b56acec2","observation_id":"3a1a3556-66d4-47c0-8b45-a8a7ec61f413","resolution":{"observed_at":"2026-08-06T18:44:15.848435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.826479Z","title":"Imagenet: A large-scale hierarchi- cal image database","venue":null,"work_id":"8ee0d3e9-b83a-4ee9-97c0-db332cc9521f","year":2009},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.333281Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:165aacdaa8145b48d2ae6457dc7cac67fca5f520e875b30af40254aa9ad8d668","observation_id":"3c62af42-6aac-461d-824f-9b4c18f02ee8","resolution":{"observed_at":"2026-08-06T18:44:15.829637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.816917Z","title":"Exploring the limits of out-of-distribution detection","venue":null,"work_id":"f72f6d6c-7581-4f45-a9e9-807432734299","year":2021},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.336317Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:af612db02e3ccef30494def7b8282fa3f021f58a014c77acfc9d64cfc69edb14","observation_id":"81870bc7-31f0-4415-8e19-21904a811e4d","resolution":{"observed_at":"2026-08-06T18:44:15.820052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.807667Z","title":"Generalize or detect? towards ro- bust semantic segmentation under multiple distribu- tion shifts","venue":null,"work_id":"fea8e4f2-41d8-4044-8a0a-ca58943bb251","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.339683Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:f174beafc994ba5afd3154b5998e400c8de980588f998008f88dbbe89b4bda5d","observation_id":"64f79d28-57ca-491c-949e-a35000a73cee","resolution":{"observed_at":"2026-08-06T18:44:15.810688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.797995Z","title":"Densehybrid: Hybrid anomaly detection for dense open-set recognition","venue":null,"work_id":"20086303-cbab-407d-b04e-d613bafde7cd","year":2022},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.343243Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:b750b1e411d569f6f9cf283ca1421305a1dc662a4dbb1b55eed3ec094d01574a","observation_id":"35fa3733-2016-4557-a68c-8a77ca99e37c","resolution":{"observed_at":"2026-08-06T18:44:15.801597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.789172Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"d1ef7a59-7606-46d5-86f3-da2b28ba290c","year":2016},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.346340Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:3b10ec1835dac57d1c2a03d7f3d0d1c687dc27a5c0bc01dca6898b5c46e41b10","observation_id":"f81d08c5-b9a0-4cf0-b901-7433efb77b66","resolution":{"observed_at":"2026-08-06T18:44:15.792311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.780025Z","title":"Unleashing multispectral video’s po- tential in semantic segmentation: A semi-supervised viewpoint and new UA V-view benchmark","venue":null,"work_id":"e42486b3-c9ad-4b82-84f4-8e35cd501db8","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.349380Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:7bf338d9677e2012c713ade733f19b468fadf53403c42217fd9ed11c49713237","observation_id":"ba67d641-7db2-4f20-9e4f-25a8740416d6","resolution":{"observed_at":"2026-08-06T18:44:15.783313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.771186Z","title":"Segment anything","venue":null,"work_id":"a6763a4f-3719-43c1-8d13-63305402d8bd","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.352419Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:be60ce0f2c62a86ef8527425974784b30888c82fc2651ad1e003407749bf8372","observation_id":"a510214e-72fe-4549-9a39-bf025cba181e","resolution":{"observed_at":"2026-08-06T18:44:15.774084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.762128Z","title":"Saliencymix+: Noise-minimized image mixing method with saliency map in data aug- mentation","venue":null,"work_id":"893ed9ff-f2ac-4d9f-adc0-031c02de070b","year":2025},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.355760Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:40abb4f1373dd129b04cf471d822361f76b1d08a5c6370f9132f42bbf1dac58f","observation_id":"ae46a246-489e-455c-8709-45aef81c0f24","resolution":{"observed_at":"2026-08-06T18:44:15.765500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.752901Z","title":"Open-set semantic seg- mentation for point clouds via adversarial prototype framework","venue":null,"work_id":"a1ad70dc-0a79-4e15-9ea8-de166f491ac7","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.358777Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:56db97f2b12876df4f6d97accfe2c77a5ecbd2e9e8f9ba3a79155efe1ca87a07","observation_id":"bf30ab53-0c83-4d69-bf4d-00ae81b81cd8","resolution":{"observed_at":"2026-08-06T18:44:15.756161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.743839Z","title":null,"venue":null,"work_id":"4c747b24-8aa0-4bc3-b70a-b4179d38f30e","year":2018},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.361781Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:37d7c2b25865c86c2fc07b4a7a5cc5aba6d366c154cf8759a88473b2290cad04","observation_id":"86bbea7d-fb9f-4192-8dcf-57bf643f4225","resolution":{"observed_at":"2026-08-06T18:44:15.746956Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.734125Z","title":"Detecting the unexpected via image resynthesis","venue":null,"work_id":"716182f8-ea4f-4f77-ad92-1240aae487c8","year":2019},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.365465Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:81d6a265d79cec503194406a045db74fd2e8a30c1963d3392369e3d68c5836f9","observation_id":"fcbecc7a-dbbe-4060-8876-13051208fe6b","resolution":{"observed_at":"2026-08-06T18:44:15.737353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.724013Z","title":"Residual pattern learning for pixel-wise out- of-distribution detection in semantic segmentation","venue":null,"work_id":"8ffb7116-80f2-47a0-b1fe-773d5d9c36fc","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.369063Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:3017eed84ad5927a1bbc3733ed9abc87b201cb7faba8da77b36312d1c4324624","observation_id":"d07758e4-e11c-4ffd-9549-7cdd99e991e5","resolution":{"observed_at":"2026-08-06T18:44:15.727760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.714376Z","title":"Swin 9 transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":"4488b087-300c-4683-a3c3-7b636b65d9a9","year":2021},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.372080Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:80fdf270c5b68fdcd25509d1184bb3c1e7372f86d32b9fc52f5fbe42dc20ffb4","observation_id":"a6f87e45-8eb6-4d49-a2de-430a5103b08b","resolution":{"observed_at":"2026-08-06T18:44:15.717587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.704094Z","title":"Towards ac- curate unified anomaly segmentation","venue":null,"work_id":"46cd1355-1bda-4505-aad1-3c9e73fb7e6c","year":2025},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.374798Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:a95b6035b05da304635008ab740203fba8c3cf16d723697405b6b6514365bdef","observation_id":"a93befcb-679b-4d78-ba2f-93799af77976","resolution":{"observed_at":"2026-08-06T18:44:15.707442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.695266Z","title":"Rba: Segmenting unknown regions re- jected by all","venue":null,"work_id":"a5e288ce-f698-40d6-a174-7704171f5798","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.377923Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:f183c99c990baed8536d3b68223609978a21adc896d603e52cfa49b4da0e229d","observation_id":"772821e7-f62d-4a6b-bd4f-7bc2e613803c","resolution":{"observed_at":"2026-08-06T18:44:15.698213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.685587Z","title":"A novel method of predictive collision risk area estimation for proac- tive pedestrian accident prevention system in urban surveillance infrastructure","venue":null,"work_id":"33c8f5fd-9c68-4efe-918a-8cbd8d9ef8b6","year":2022},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.380898Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:eea80c3ad7256a698619e1a999dd20338f817f86a156503ec65b7a6872f8c69d","observation_id":"7bb42d42-5542-4a13-b4c8-6d7276ef3d61","resolution":{"observed_at":"2026-08-06T18:44:15.689420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.676294Z","title":"Vision-based potential pedestrian risk analysis on unsignalized crosswalk using data mining techniques","venue":null,"work_id":"d2410dc3-04f6-4a9c-b6bd-4274fea00bf8","year":2020},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.384287Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:ca66f7109a11ecb5b43d0ff718099d9807410ff3a9e5b21fc30844063627be88","observation_id":"0a98c2be-9906-4a8a-8c1b-94a0c6426e04","resolution":{"observed_at":"2026-08-06T18:44:15.679545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.667023Z","title":"Unmasking anomalies in road-scene segmentation","venue":null,"work_id":"7d921dd7-7e30-4d4c-9de8-2879fd52ce2e","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.387211Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:7294d7e11250142afa1bdddd409c3e845d20f1a27f03a16e40450070eb903acb","observation_id":"9d0d73a9-470b-438f-a81d-40e5b71cee7f","resolution":{"observed_at":"2026-08-06T18:44:15.670160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.656933Z","title":"SAM 2: Segment anything in images and videos","venue":null,"work_id":"ed2692b0-ccc1-4b14-a0f8-be3ab773d243","year":2025},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.390374Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:6d6fc7fe0a9860ef1d2a72d1bfd886a060ff401ce985381ed2d103186c49a868","observation_id":"7db49538-9044-4f39-9b08-50054cd1ef7f","resolution":{"observed_at":"2026-08-06T18:44:15.660254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.647420Z","title":"U-net: Convolutional networks for biomedical im- age segmentation","venue":null,"work_id":"ecceb437-d2c8-4673-81f0-bff5753d1254","year":2015},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.393828Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:5aa27f481e04ca454fd4f3b9806aa1334bc88f77f05bc28f57c22d8e9b439def","observation_id":"4e503cd0-c5a6-4c22-9ffc-7eec4abbc54e","resolution":{"observed_at":"2026-08-06T18:44:15.650557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.638193Z","title":"Quantification of uncertainty with adversarial models","venue":null,"work_id":"1ac7e8e6-b11c-4054-af45-3bfffe24c06b","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.397065Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:0659ffecf9e66384ac5ede75e60dc00e4d8c276b8ffd6a8ceb1964f24b36dacf","observation_id":"c9bb356a-019c-4c7e-ba59-c0849920f052","resolution":{"observed_at":"2026-08-06T18:44:15.641188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.628289Z","title":"Open-world semantic segmentation including class similarity","venue":null,"work_id":"fbdb91e3-7372-4140-9033-161f63dc9544","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.399973Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:35bcb818b659352db12b80a0b6fec1103901ef469ec83371bf52398450d797f3","observation_id":"8ebccc5b-68fd-489f-9c6c-541e337c4641","resolution":{"observed_at":"2026-08-06T18:44:15.631647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.618357Z","title":"Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distil- lation","venue":null,"work_id":"c1f30c88-58d4-4994-bec5-55bcea935fca","year":2022},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.403163Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:320584b8058a3961e189dac0e0a1ca06e9df951b1728795b57358ecf2c4f2210","observation_id":"b5b108ac-8310-488a-adce-842536956bb3","resolution":{"observed_at":"2026-08-06T18:44:15.621898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.608489Z","title":"Pixood: Pixel-level out-of-distribution detection","venue":null,"work_id":"db349292-47ac-4e8d-a970-a508a78c495e","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.406146Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:a6a5c0c93cf5d71e3aee5b81409f30b518fced5ec8fdd9bce3be33239a3a80b2","observation_id":"b098ce2f-4156-4d05-9465-38d26721343e","resolution":{"observed_at":"2026-08-06T18:44:15.612022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.598683Z","title":"Semflow: Bind- ing semantic segmentation and image synthesis via rectified flow","venue":null,"work_id":"878cce14-4eee-49f8-bf09-ca50db700cf8","year":2025},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.409387Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:20c551df813edd8466e5a6a5ca9f4ff4ce903b6353521d13fd4700d2736a563e","observation_id":"97fd2160-70c8-4735-a5fe-1189e8f3ad96","resolution":{"observed_at":"2026-08-06T18:44:15.602417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.589134Z","title":"Segrefiner: Towards model-agnostic segmentation refinement with discrete diffusion process","venue":null,"work_id":"8ba45fa3-42fe-458f-b942-1006d8c5a5e7","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.412432Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:44593cf40d246c0af97703f7a5020fb115157b5341eafcac8a89258ee501fe2c","observation_id":"3cb44568-9f70-4265-b795-16f6782ead20","resolution":{"observed_at":"2026-08-06T18:44:15.592268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.579682Z","title":"Toward real ultra image segmentation: Leveraging surround- ing context to cultivate general segmentation model","venue":null,"work_id":"9adf2649-d6bd-4308-8043-7f370c7e5a89","year":2025},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.415550Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:c5af1dd373d15622b7501a5dcaae4122e1faae4a37bb7e7fa47d8842dd313abc","observation_id":"35fcca46-2b9a-43d2-a7e4-c2d582314a51","resolution":{"observed_at":"2026-08-06T18:44:15.582891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.569945Z","title":"Conditional boundary loss for semantic segmentation","venue":null,"work_id":"5218dfef-a8a7-4b7c-b554-4e4195fdb97a","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.418711Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:68e7a75b96f65f3e2ea75c4d0593f14da05ef21ce84bfbab85ff6f043f91c7dc","observation_id":"bf83edff-41bf-4852-a286-1ca06f03536e","resolution":{"observed_at":"2026-08-06T18:44:15.573270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.560480Z","title":"3d open-vocabulary panoptic segmen- tation with 2d-3d vision-language distillation","venue":null,"work_id":"1c1b7729-77e3-4a25-8115-221f9d9484b2","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.421756Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:e411af689a308668387f4b80ef6e97f1f488b30fa81ebf1f4421a643afd2a16d","observation_id":"281c2f70-552c-4133-9754-ee8cb126c172","resolution":{"observed_at":"2026-08-06T18:44:15.563611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.551020Z","title":"Barlow twins: Self-supervised learn- ing via redundancy reduction","venue":null,"work_id":"a0234729-a964-4425-86b9-48c39fd1518c","year":2021},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.424615Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:cf45f8d250afd6936c3bea3aa4cbff30781f796dbc8a365d0986e8290b20cbbf","observation_id":"ba3459bf-ec93-4940-a839-c63bbea87c1d","resolution":{"observed_at":"2026-08-06T18:44:15.554313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.539642Z","title":"Faster segment anything: Towards lightweight sam for mobile applications, 2023","venue":null,"work_id":"23f86f91-18f6-4eb9-be83-b41a4813a382","year":2023},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.427347Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:8d3fd773e0992a3af7874e2732f525dc01e0a2c5c83e928383c307d5f58dfae0","observation_id":"d60754d7-aeea-468b-91f9-834d3190110a","resolution":{"observed_at":"2026-08-06T18:44:15.543608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.529002Z","title":"Csl: Class-agnostic structure- constrained learning for segmentation including the unseen","venue":null,"work_id":"b2c98b8f-5e1e-45de-b03f-831c58432d20","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.430089Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:0083f637fb98e564456cd4d1c721b7517a9086be3001fddbe4ff81fff538728e","observation_id":"7abaa36b-e146-4ce6-8dd6-b16e0228a9c3","resolution":{"observed_at":"2026-08-06T18:44:15.532559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.519586Z","title":"Pyramid scene parsing network","venue":null,"work_id":"10331612-6927-4879-b9e7-4cab88484fdb","year":2017},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.433347Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:41cd4516bf28613b1109639948e15ed4cdf7e7a29e18c558d8a3edc57e112702","observation_id":"866a72e9-cc94-4bdd-af9e-5c4dc7720a3d","resolution":{"observed_at":"2026-08-06T18:44:15.522703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.509515Z","title":"Segment every out-of-distribution object","venue":null,"work_id":"e29be69b-3878-4d50-a7ca-db46ae37a08a","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.436197Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:4d77e6c7c429d742ebd81e54448d5bed9c2d2e1ddbbfe6723375865d5b8ca9e0","observation_id":"9296cf1a-4d53-4f05-8f6f-dc1e85535579","resolution":{"observed_at":"2026-08-06T18:44:15.512866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12156","last_updated":"2023-06-21T10:08:29Z","snapshot_observed_at":"2026-07-06T15:45:01.961896Z","submitted_at":"2023-06-21T10:08:29Z","title":"Fast Segment Anything","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12156","snapshot_observed_at":"2026-08-06T18:44:15.439108Z","title":"Fast segment anything","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.439108Z"},"links":{"cited_paper":"/paper/2306.12156","citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:58fa994c3c222cfa7903de19c603aeba018bfd90e49233ae2631a88a98244536","observation_id":"dd39f87b-197a-4fcb-a25c-ca16104d728f","resolution":{"observed_at":"2026-08-06T18:44:15.439108Z","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":"2026-08-06T18:44:15.498510Z","title":"Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers","venue":null,"work_id":"dd9e6205-4dd9-4e8d-a72c-9b2193a82a7e","year":2021},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.443278Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:fc53897f8b4e83fa5ce4aa9b7557113629ca685e21c48271b18a5ba191de8578","observation_id":"64b4d372-7830-4483-9649-0b6948b5a071","resolution":{"observed_at":"2026-08-06T18:44:15.502564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.485838Z","title":"Deformable {detr}: De- formable transformers for end-to-end object detection","venue":null,"work_id":"d99d2694-cda8-48b7-bd87-6e118a930ef7","year":2021},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.446070Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:454bf1e4eb3c603d3957471a0790ec1dad1cdc7829b8dad8116260377e96ab1f","observation_id":"08cd738e-02d7-4a39-a72f-da2958415b79","resolution":{"observed_at":"2026-08-06T18:44:15.491374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:44:15.836107Z","title":null,"venue":null,"work_id":"e6e5704d-1333-4e97-b7c8-6b27853a5e65","year":2024},"citing_paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:15.329983Z"},"links":{"citing_paper":"/paper/2507.07460"},"observation_digest":"sha256:035fdbb9fd6b8eb7610206e561e1fe4eac1185bde9193b4266402f2475a2e64d","observation_id":"d0810d2d-0d8a-4193-af1e-c5c4a830101a","resolution":{"observed_at":"2026-08-06T18:44:15.839226Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.07460","last_updated":"2025-07-11T04:12:46Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T18:37:58.305768Z","submitted_at":"2025-07-10T06:23:35Z","title":"Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":3,"verified_exact":0,"verified_fuzzy":42},"total_outbound_references":46},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.07460."}