{"as_of":"2026-08-09T11:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:60a3e83b1d411bd58aa7ee40a3053478e9ea207a34811317f83b130eb20155f3","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:37:21.261833Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2509.00527/citation-record","integrity":"/paper/2509.00527/integrity","json":"/paper/2509.00527/citation-record.json","paper":"/paper/2509.00527"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.05941","last_updated":"2022-10-12T06:15:51Z","snapshot_observed_at":"2026-08-06T15:09:32.183513Z","submitted_at":"2022-10-12T06:15:51Z","title":"Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2210.05941","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.05941","snapshot_observed_at":"2026-08-05T13:37:22.077122Z","title":"Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation","venue":"cs.CV","work_id":"47d50b6a-d941-437e-8d61-fcd5fa8c9385","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:13.589040Z"},"links":{"cited_paper":"/paper/2210.05941","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:04d66b14df8155a6d0cfb1d238e81d8c9cef167476948ba8126d5758390afc84","observation_id":"0cecc8d9-02da-48a5-ac40-db77d5e3465b","resolution":{"observed_at":"2026-08-05T13:37:22.145227Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:34.853703Z","title":"Rainbow memory: Continual learning with a memory of diverse samples","venue":null,"work_id":"818291c3-17a1-45e1-aed0-642d730de354","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:13.695113Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:508ecc1950c8f4bd3e8195a9b42f1c0eea92180bafd85d10abdc5074cbbf1b55","observation_id":"1e35feb6-a4d5-46f0-8813-58d0e7eb2191","resolution":{"observed_at":"2026-08-05T13:37:34.968279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:34.689940Z","title":"Modeling the back- ground for incremental learning in semantic segmentation","venue":null,"work_id":"fec41a2b-199d-4d14-8253-1f52a1d53b83","year":2020},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:13.824832Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:35f5a63e2de2d4bc460487f27fb6b37a51c0041bbce677830fb4abd0e1d8800e","observation_id":"e65b9e0a-b2c2-4dae-b347-cbaf778bfbaa","resolution":{"observed_at":"2026-08-05T13:37:34.748537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:34.568625Z","title":"Incremental learning in semantic segmentation from image labels","venue":null,"work_id":"a969b8ce-b49c-4edf-89a6-965915a863c0","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:13.937924Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:e3006c593a897ff5a4cbad2e3a80a23c226eed93aabb9d047dc2077e9c70acef","observation_id":"5264756b-8146-49b5-aec0-d98094407b89","resolution":{"observed_at":"2026-08-05T13:37:34.615324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:34.399769Z","title":"Com- former: Continual learning in semantic and panoptic seg- mentation","venue":null,"work_id":"6eae48af-0580-4c78-b6a0-56f3dd88a8b6","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.004648Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:8a1e23f8ad69d7c1f9a45a6eb725a9559aaa26b198424f90386597bf053dfdbb","observation_id":"3f037806-4909-4823-a13a-d5d4b966e7af","resolution":{"observed_at":"2026-08-05T13:37:34.480573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:34.228062Z","title":null,"venue":null,"work_id":"26f60021-ad47-4044-ae56-f9fa79f073e3","year":2018},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.102081Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:e5062ae6e9a14ef44bf117cd86f9f7ca2365beeb92010fc674f07707caf3f47d","observation_id":"68da5f1e-62c6-4208-a41a-cbb3d1f4fa24","resolution":{"observed_at":"2026-08-05T13:37:34.306219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:34.060972Z","title":"Schwing, Alexan- der Kirillov, and Rohit Girdhar","venue":null,"work_id":"d1c98aac-1913-4559-8929-84228036f191","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.202553Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:f3243f8cf69db092365a2b197662de9ecf7010022f9fb80494d5b8a5b5a81ab7","observation_id":"7135b104-7af0-4673-9cb1-5f5673f41894","resolution":{"observed_at":"2026-08-05T13:37:34.144045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:33.823402Z","title":"Reproducible scaling laws for contrastive language-image learning","venue":null,"work_id":"3270637c-d5b0-4f39-80d1-1bf3c427988d","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.340525Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:b83bc474dc2c1fcc9e6580dbf1c74b34a447b00a8510507783662d6bc20ff582","observation_id":"b56e55bc-e90e-4209-8e55-4222f6f9a3e3","resolution":{"observed_at":"2026-08-05T13:37:33.940482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:33.636061Z","title":"MTA- CLIP: language-guided semantic segmentation with mask- text alignment","venue":null,"work_id":"338d53b3-03f7-4d43-a769-d1febcd12003","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.501496Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:170c2a9a8e889df5548fed434c53a33a7fec080995a71b125f50c7f872103d6b","observation_id":"610ddc77-136c-4542-b847-bb039e3b8a38","resolution":{"observed_at":"2026-08-05T13:37:33.725343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T13:37:14.628934Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.628934Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:959e16b0ad5b4c02b09b20646ff20241445806e0bbcc661a440fb25f71289207","observation_id":"d0dfbb19-fac8-4351-9867-5cffdb6176a7","resolution":{"observed_at":"2026-08-05T13:37:14.628934Z","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":"2026-08-05T13:37:33.352052Z","title":"Plop: Learning without forgetting for contin- ual semantic segmentation","venue":null,"work_id":"7ff1f86b-1079-4719-8c43-04e0591d5fc9","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.718323Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:183c150d3103b657f51abc8dda826b45baa3fdcf42860e385bab7af681e39469","observation_id":"bb45731c-bd96-48c4-91f6-ebd32bcaa0c7","resolution":{"observed_at":"2026-08-05T13:37:33.503958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:33.022664Z","title":null,"venue":null,"work_id":"684053d1-5b6b-48c4-89d1-62a1df6374fb","year":2014},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.793504Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:d035226bddb33babf4d002af99ddf29b7aa4f5f4b8045192339ce7c59ecadbce","observation_id":"636cc101-f3b7-425c-81f4-853f052cb056","resolution":{"observed_at":"2026-08-05T13:37:33.134190Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09447","last_updated":"2024-08-13T13:24:33Z","snapshot_observed_at":"2026-08-05T13:26:44.951599Z","submitted_at":"2024-04-15T04:20:01Z","title":"kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09447","snapshot_observed_at":"2026-08-05T13:37:14.906434Z","title":"knn-clip: Retrieval enables training-free segmenta- tion on continually expanding large vocabularies","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.906434Z"},"links":{"cited_paper":"/paper/2404.09447","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:40b15aa4e0e23225b7bf33b27936626f4001eda50c2d1cc75ea05e8a97b61794","observation_id":"c5ac5392-ae9e-460f-a0c7-98e8065b942e","resolution":{"observed_at":"2026-08-05T13:37:14.906434Z","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":"2026-08-05T13:37:32.830211Z","title":"Zhang, Shaoqing Ren, and Jian Sun","venue":null,"work_id":"673aa76d-2275-407c-bd3a-a3a930734260","year":1904},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:14.969444Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:85195389b6e0f324fb20253a1dc151f5bfc5a5e0c8ef9fdbb1df116e7a7a35e4","observation_id":"4fb5864c-c420-4b74-8b79-997337132af0","resolution":{"observed_at":"2026-08-05T13:37:32.908748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08200","last_updated":"2023-06-14T02:09:26Z","snapshot_observed_at":"2026-07-06T15:42:22.027803Z","submitted_at":"2023-06-14T02:09:26Z","title":"POP: Prompt Of Prompts for Continual Learning","version":1},"cited_work":{"arxiv_id":"2306.08200","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.08200","snapshot_observed_at":"2026-08-05T13:37:21.889087Z","title":"POP: Prompt Of Prompts for Continual Learning","venue":"cs.CV","work_id":"91ca0a2e-68fe-41d1-8544-b8fbb4c5eee5","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.039670Z"},"links":{"cited_paper":"/paper/2306.08200","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:37721d7b474bed3debe8eb9dee2d06c095d3326bc4de404429117ff23234b713","observation_id":"44cf247d-0914-4b6a-9be5-ba9abed59c9f","resolution":{"observed_at":"2026-08-05T13:37:21.961441Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12119","last_updated":"2022-07-20T15:47:22Z","snapshot_observed_at":"2026-07-06T12:51:05.427799Z","submitted_at":"2022-03-23T01:17:16Z","title":"Visual Prompt Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.12119","snapshot_observed_at":"2026-08-05T13:37:15.139491Z","title":"Belongie, Bharath Hariharan, and Ser Nam Lim","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.139491Z"},"links":{"cited_paper":"/paper/2203.12119","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:b20046ff69363919b27d7cbc1889175e86d054a8fa83b7b6c263e9c004fdfa71","observation_id":"d853c3fb-ceff-4395-b62f-23c0f3d353c9","resolution":{"observed_at":"2026-08-05T13:37:15.139491Z","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":"2026-08-05T13:37:32.657055Z","title":"ECLIPSE: efficient continual learning in panoptic segmen- tation with visual prompt tuning","venue":null,"work_id":"65466b72-df1a-4235-a509-d92fea9880a5","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.282662Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:3f78b27cd765b112f0ee022eddbfdfe2db1a94c42618f293d01ee59b067a702c","observation_id":"81dc585a-62ca-4a63-af9f-c45122ab3250","resolution":{"observed_at":"2026-08-05T13:37:32.754333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:32.466250Z","title":"Overcoming catastrophic forgetting in neu- ral networks","venue":null,"work_id":"29a671f0-e328-41e5-88bf-1e511b7e6294","year":2017},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.433728Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:19a053ab9b1bf1fabd6b45857e83247abad965c707821caaf552c53df2991dcb","observation_id":"ab9228d8-27c3-4bd8-b790-c72d00c05088","resolution":{"observed_at":"2026-08-05T13:37:32.554161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:32.273872Z","title":"Clearclip: Decom- posing CLIP representations for dense vision-language in- ference","venue":null,"work_id":"09f1dbf3-06e7-4415-bd4e-f2f1d53dca1d","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.584390Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:9de9e01f8b0fc7d2a81f0935521aaac6eedc05bbebd7aa3c2b137a096181e970","observation_id":"2d085d2a-3e5f-463d-b912-d80e505a4393","resolution":{"observed_at":"2026-08-05T13:37:32.346298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:32.137829Z","title":"Continual pro- totype evolution: Learning online from non-stationary data streams","venue":null,"work_id":"58b56980-2511-477f-a688-4b6de765f59c","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.648814Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:eb9a1c7758eab7801434a4ecd07a7a4c1c0d2ee3839201a052a818f7a9128f09","observation_id":"b744b1c6-2611-419e-a92b-7d65996e29a2","resolution":{"observed_at":"2026-08-05T13:37:32.197088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:31.997347Z","title":"Continual learning with extended kronecker- factored approximate curvature","venue":null,"work_id":"08cb7c60-3531-47df-ae4a-d617b7300125","year":2020},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.753033Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:52319344777761f1470bcb25ef4474472e472bbfc4140079f1f53d441372915d","observation_id":"194eeddc-9133-48d4-b01c-3649a3479165","resolution":{"observed_at":"2026-08-05T13:37:32.059242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:31.645019Z","title":"Learn to grow: A continual structure learn- ing framework for overcoming catastrophic forgetting","venue":null,"work_id":"19153958-719f-4a34-945e-6fc53b507a69","year":2019},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.975658Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:5651181d2b88fe35933f1fd7334a135b52690f0275f040e1f2f7269a6754db94","observation_id":"66256fc7-f14f-4726-8693-ab0d4e574771","resolution":{"observed_at":"2026-08-05T13:37:31.718954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:31.480272Z","title":"A closer look at the explainability of con- trastive language-image pre-training","venue":null,"work_id":"36f79398-9991-4af8-8b5a-38a34de2c5c5","year":2025},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.066822Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:128c74bba703c0ceed1cde4efaf82f56b7879eb7497823d3e398b9020b43d340","observation_id":"dca8df2e-b019-4b97-8564-6497b0a4309c","resolution":{"observed_at":"2026-08-05T13:37:31.551407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:31.253020Z","title":"Continual semantic segmentation via structure preserving and projected feature alignment","venue":null,"work_id":"b7c62da9-fe31-48dd-bfdb-d0eb72a8bd61","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.218892Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:9f4dc1d94cb11dd72084a4467b7fe88b6a0d339eada061f40b2bd39d906755a2","observation_id":"781669ea-8d85-4f77-ae77-03cd0d38cd70","resolution":{"observed_at":"2026-08-05T13:37:31.349371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:30.996231Z","title":"Learning from the web: Language drives weakly- supervised incremental learning for semantic segmentation","venue":null,"work_id":"51ca853c-994f-43bb-9270-a56410b3c0eb","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.334064Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:97e40c23f0cb386045eb31378553ee164f77cb4b1dcab2b8f4ac462ff378f1f0","observation_id":"7677fb56-9d2c-4f01-8ecc-3002d287b328","resolution":{"observed_at":"2026-08-05T13:37:31.138189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:30.809927Z","title":"Dynamic extension nets for few-shot se- mantic segmentation","venue":null,"work_id":"7032c0f4-1ee6-46c8-b632-7ee46c866ee2","year":2020},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.433409Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:dad428bd15e73d1547eb5868c2227d4faf3ad4926a79517f3bb006f858f5c9bb","observation_id":"d18b5aed-f4ca-4b6d-8c3c-39915e9ac338","resolution":{"observed_at":"2026-08-05T13:37:30.927635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:30.687943Z","title":"A new generative replay approach for incremental class learning of medical image for semantic segmentation","venue":null,"work_id":"a2e31ea1-4456-4b72-9465-edfdf502c451","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.509896Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:214bb28c53f70104a8519ea0a833eb3f2860252cd1a38e8c5e99a119e7bf4806","observation_id":"a50cf8be-97e5-4091-8043-5cd32fe16c3e","resolution":{"observed_at":"2026-08-05T13:37:30.755702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:30.561222Z","title":"Decoupled weight de- cay regularization","venue":null,"work_id":"15b2974f-793e-4ad7-9aec-803cd6a51d37","year":2017},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.636491Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:a2bd01143623118c2c8d21b2df7eac8b411eb31ccc198488e4642c62ee3bf98e","observation_id":"64b528cd-a14f-4982-a91a-224598d2c85e","resolution":{"observed_at":"2026-08-05T13:37:30.609243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:30.367136Z","title":"Recall: Replay-based continual learning in semantic segmentation","venue":null,"work_id":"eb876670-42ba-4a3f-961a-f5c35d221d3d","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.770549Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:5a2c3de3fe06f6ff76b94301ab0aa35a1c54c725ca431c8d088685bd82a65bf2","observation_id":"f6b6e1b4-0944-4006-a307-52d6035bf8a1","resolution":{"observed_at":"2026-08-05T13:37:30.461887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:30.090623Z","title":"Incremental learning techniques for semantic segmentation","venue":null,"work_id":"4f543ff2-b838-4e67-a359-783124b3ab3a","year":2019},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:16.911270Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:6325f0765dc7829f4240160ef084700b5315e380b7248fb78260e74cf91d8988","observation_id":"eeffbb20-ffeb-4300-b634-0eda8299f1af","resolution":{"observed_at":"2026-08-05T13:37:30.206229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:29.934551Z","title":"Incremental learn- ing techniques for semantic segmentation","venue":null,"work_id":"ed272885-fdac-494f-8036-a1442ab0998c","year":2019},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.047404Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:6e6f2289f399eb12ea84736fdb648eedd379f86499e8616e615cf7814d569ef4","observation_id":"99d7acd5-5c7d-4561-8041-c88966f9fdfa","resolution":{"observed_at":"2026-08-05T13:37:29.995551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:29.817874Z","title":"Continual semantic segmentation via repulsion-attraction of sparse and disentan- gled latent representations","venue":null,"work_id":"6f6ef930-7e3e-4959-8303-ac59e8c05ed4","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.154186Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:ecbe96afb4a30253f68541afa0d85cccbac8581f341a4eac72ac8c61333549f2","observation_id":"a25567ed-46f1-4278-9872-46fd67be0686","resolution":{"observed_at":"2026-08-05T13:37:29.880508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:29.645670Z","title":"Mitigating background shift in class- incremental semantic segmentation","venue":null,"work_id":"a70add5a-d508-489a-8094-e34351469ea3","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.238642Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:a12bab295b72ced3992fb425d1251cde03d16b4ab62803c89cc5141671e5c480","observation_id":"e4c53ad5-36e1-44a1-9aaa-bb8d3f70309b","resolution":{"observed_at":"2026-08-05T13:37:29.755521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:29.547821Z","title":"Re- lational knowledge distillation","venue":null,"work_id":"d34568c4-5795-47b8-ae6c-20efa4cef37c","year":2019},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.339579Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:19be918bb1d9005e42864ba17392d21f1108e38bd2cb3981da2b6214a4c3b92a","observation_id":"e6cca19b-5f66-467f-8de8-6d44af1d1005","resolution":{"observed_at":"2026-08-05T13:37:29.601630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:29.415027Z","title":"Class similarity weighted knowl- edge distillation for continual semantic segmentation","venue":null,"work_id":"2953771c-029c-4793-888c-c533c4808a9d","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.404756Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:dbadaed3d1636a6ba38e6d4b3a7c0b0fcb26cce8db7f7b3bf6a2a4fbc9435dbf","observation_id":"bf17c669-2b85-4714-90d3-a2c8ce41e005","resolution":{"observed_at":"2026-08-05T13:37:29.484304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:29.211352Z","title":"Class similarity weighted knowledge distillation for continual semantic seg- mentation","venue":null,"work_id":"213fd646-5b50-4de2-881b-84dbba3129f6","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.515503Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:f9d20e4ab4afa861a97ec3748a964d6f2819f3b14050fad64b9d174966f615da","observation_id":"c13f3de6-44b2-48ca-932d-b9a48fd3479d","resolution":{"observed_at":"2026-08-05T13:37:29.304984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.07667","last_updated":"2023-02-13T08:54:29Z","snapshot_observed_at":"2026-07-06T12:47:55.802291Z","submitted_at":"2022-03-15T06:09:28Z","title":"SATS: Self-Attention Transfer for Continual Semantic Segmentation","version":3},"cited_work":{"arxiv_id":"2203.07667","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.07667","snapshot_observed_at":"2026-08-05T13:37:21.741045Z","title":"SATS: Self-Attention Transfer for Continual Semantic Segmentation","venue":"cs.CV","work_id":"7ec1aa7a-f99b-4b91-8298-2645ce3e55ee","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.628715Z"},"links":{"cited_paper":"/paper/2203.07667","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:37f9231954a964dbb787fa45a7db5ca58d9766f025d61b72eb864f386aedbf4f","observation_id":"e4641146-93d5-4312-8c02-72e7d0b87ee0","resolution":{"observed_at":"2026-08-05T13:37:21.789944Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:29.088497Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"b0e8b86d-3671-4bcd-a49f-b9c3c45db2c1","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.778049Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:675a8af5cb03e22d02311b0021b8195fc7ce0dfc1174f40e252ac5c56d7bcbe5","observation_id":"009dbee6-0267-4eb1-acb1-785971a72589","resolution":{"observed_at":"2026-08-05T13:37:29.141762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:28.931517Z","title":"Denseclip: Language-guided dense prediction with context- aware prompting","venue":null,"work_id":"18cee1e8-6bde-4ef0-97d9-6ce186f92007","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:17.850511Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:2e177f9e510e3525ca353c90977d30fdac89b89ce946fe0c782a0f804bdf98d9","observation_id":"e5fe5973-3b30-4b3e-b834-06d6c8a579a8","resolution":{"observed_at":"2026-08-05T13:37:29.005507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:28.689542Z","title":"Micro: Modeling cross-image semantic relationship dependencies for class-incremental semantic segmentation in remote sens- ing images","venue":null,"work_id":"87430dd9-8766-4082-b191-13894310365b","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.001511Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:cdd6f5bc886dc226c58e1f8f3d6f1f9735524f62886f5621b95cbb1345fa69f1","observation_id":"c4d7a632-927e-4e2a-a2c4-5874ca073741","resolution":{"observed_at":"2026-08-05T13:37:28.808947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:28.478361Z","title":"Rasp: Relation-aware semantic prior for weakly su- pervised incremental segmentation","venue":null,"work_id":"c2cd978a-f9eb-44f8-b26d-feaf0dd6714f","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.077721Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:b3cb3fd0ff10f66c8289840cc918f09afe15601bd26dbee3b121e4146efe97ec","observation_id":"4168bb9c-de9c-4526-9045-3c1f054f1ba7","resolution":{"observed_at":"2026-08-05T13:37:28.596093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:28.284472Z","title":"Incrementer: Transformer for class-incremental semantic segmentation with knowl- edge distillation focusing on old class","venue":null,"work_id":"360c0f46-6681-43aa-a2a5-c481bb87ce66","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.158392Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:d9e5d815e60075e34183154918e334bb134f0bc676c6266c04d0d0952aa2f1d7","observation_id":"031ac2bd-fda5-4866-825f-44875d5d3e6a","resolution":{"observed_at":"2026-08-05T13:37:28.376975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:28.100648Z","title":"Segmenter: Transformer for semantic segmenta- tion","venue":null,"work_id":"945608f6-82f7-4b71-9708-45a33c5ea394","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.249360Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:33452fc11ef8a7257cac3dc8fab1141f8217c768ab57241235c56fe4515debfc","observation_id":"43fcc2e6-5690-4199-8fa4-9a89c2781934","resolution":{"observed_at":"2026-08-05T13:37:28.213994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:27.846285Z","title":"FOSTER: feature boosting and compression for class- incremental learning","venue":null,"work_id":"16bbce0f-ca01-414a-9974-807fdd051bb4","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.353465Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:e668b7f1a1ae475d3970a8e46122a9206487f5a989e39e2c34c6ccc5f105343d","observation_id":"a15fe077-cbae-4c5f-bc20-2ce3b82b4c08","resolution":{"observed_at":"2026-08-05T13:37:27.965488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:27.612575Z","title":"Ordisco: Effective and efficient usage of incremental unlabeled data for semi-supervised continual learning","venue":null,"work_id":"4b48cb24-5a57-4bfc-bd2c-30c8182306eb","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.469487Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:0b1b30757e44440da885b8dcd9624611de978fcae47953df4c5c6c536691a3d4","observation_id":"f2d8ca53-be27-4a94-99eb-1d006de9626b","resolution":{"observed_at":"2026-08-05T13:37:27.720067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:27.396398Z","title":"Dy, and Tomas Pfister","venue":null,"work_id":"3a86ccbd-260a-4b20-8b1e-907b0ca9ae87","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.569267Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:13b507551fe129c6481758d14f6881c3bba050b4e7390b056ec40f11d61c0319","observation_id":"198a62a8-1841-42c9-a6a6-0593fa4182c6","resolution":{"observed_at":"2026-08-05T13:37:27.478281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:27.174048Z","title":"Reinforced continual learning","venue":null,"work_id":"5f25955e-ba73-4044-a7c6-ffebdb0bd28d","year":2018},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.666813Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:e9fe6dd3e97c2584db93825b4e3afc5b9439be3bd31c2ecd1ff022204bc36bfd","observation_id":"9c064843-c580-497c-9834-934c9aeae86c","resolution":{"observed_at":"2026-08-05T13:37:27.267291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:26.992933Z","title":"DER: dynam- ically expandable representation for class incremental learn- ing","venue":null,"work_id":"feb74dd2-56e3-4e4c-afe8-8920afd4716e","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.750012Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:1193f9d24b1de7a4e3ea02ed07bd01e773eb68dd08144629b8874ba364c8e12b","observation_id":"3ad253c1-6739-407c-9522-d51ae302808f","resolution":{"observed_at":"2026-08-05T13:37:27.078977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:26.879042Z","title":"Der: Dynam- ically expandable representation for class incremental learn- ing","venue":null,"work_id":"97c0a610-db4d-4eeb-8d8a-9d0c6551b7a3","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.810041Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:3b87050edcd202a5fd258ee1567a9010078a19828652689c12547fad2ddff18d","observation_id":"8fed32ea-b0a7-4bc2-a485-b833955e780d","resolution":{"observed_at":"2026-08-05T13:37:26.923837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.17409","last_updated":"2022-11-02T16:16:28Z","snapshot_observed_at":"2026-08-03T15:28:27.871509Z","submitted_at":"2022-10-24T10:16:13Z","title":"Deep Model Reassembly","version":2},"cited_work":{"arxiv_id":"2210.17409","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.17409","snapshot_observed_at":"2026-08-05T13:37:21.576745Z","title":"Deep Model Reassembly","venue":"cs.CV","work_id":"25502291-4d21-4f6a-ba6d-adcbc07d3b4b","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.876187Z"},"links":{"cited_paper":"/paper/2210.17409","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:b977581a12b785d7671f93ca0eae92c83610654ced29b79ad8f92ad807151e52","observation_id":"0534b599-4abe-4c6b-9166-588ec1eb3d16","resolution":{"observed_at":"2026-08-05T13:37:21.652739Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:26.740512Z","title":"Adaptive deep models for incremental learning: Considering capacity scalability and sustainability","venue":null,"work_id":"61439c50-52e8-42a0-ad93-1ee3b12b700b","year":2019},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:18.984846Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:4578eee9392c0ad77f7248b7c0a50ffccf9f790fcb5d5176d67a69c31f8d1ae5","observation_id":"e337bb4d-bf39-4f9f-bf81-86f6101826ea","resolution":{"observed_at":"2026-08-05T13:37:26.806972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:26.562851Z","title":"Cost-effective incremental deep model: Matching model capacity with the least sampling","venue":null,"work_id":"42c548cb-e222-4d95-be7f-fa643db4bff7","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.120086Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:f680b35bbcc17faf4e9ee96d8a76497504a02ef1e1dfbbacfbf235238d1a4fed","observation_id":"9334c382-0194-4930-966f-3fbba6cae1e3","resolution":{"observed_at":"2026-08-05T13:37:26.620629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.08224","last_updated":"2022-07-17T16:42:31Z","snapshot_observed_at":"2026-08-08T10:08:13.555048Z","submitted_at":"2022-07-17T16:42:31Z","title":"Learning with Recoverable Forgetting","version":1},"cited_work":{"arxiv_id":"2207.08224","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.08224","snapshot_observed_at":"2026-08-05T13:37:21.388599Z","title":"Learning with Recoverable Forgetting","venue":"cs.CV","work_id":"7b12d3f0-e358-49e2-8657-79ae39995cc0","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.201663Z"},"links":{"cited_paper":"/paper/2207.08224","citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:391de235c7b2cb8ef4d91695cee5ba98bfb9080472a6f61e938fc0097f941813","observation_id":"46580a07-2f1f-4eee-99e1-3215348977fb","resolution":{"observed_at":"2026-08-05T13:37:21.447013Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:26.385915Z","title":"Lifelong learning with dynamically expandable net- works","venue":null,"work_id":"c36d67a2-a9c6-4650-9008-3efc459bfe78","year":2018},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.322907Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:fdd37a630093ce73a9150ea694437d25cdc6b49e890219e1edc3e53e608bc82f","observation_id":"4ba96b43-9225-4a79-9011-d4ded8fc0c5a","resolution":{"observed_at":"2026-08-05T13:37:26.492769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:26.144455Z","title":"Foundation model drives weakly incremental learning for semantic segmentation","venue":null,"work_id":"11b15890-c976-4d90-bb19-20de2ee32b9a","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.396246Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:94cce6fe5f17f1ad9699fbf6002a9aebbe9baaedfc36afbf511f4ec556d30524","observation_id":"83924ee0-c049-4605-89fd-5da4610863f6","resolution":{"observed_at":"2026-08-05T13:37:26.262651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:25.927670Z","title":"Tikp: Text-to-image knowledge preservation for continual seman- tic segmentation","venue":null,"work_id":"fbeedcc2-2406-4d93-a15a-d7cb545b0534","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.507057Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:75febcb1a03a15d230297af4ca3b8091bb89c516e225970aab5ac5a6418a3030","observation_id":"1e3b7751-77f8-43b4-9e3a-a4569c5ddff7","resolution":{"observed_at":"2026-08-05T13:37:26.018865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:25.648669Z","title":"A survey on continual seman- tic segmentation: Theory, challenge, method and applica- tion","venue":null,"work_id":"93fb51d6-42f8-44c5-a0f7-2ac82000aea1","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.629173Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:f7d9406eb676c267a918465e94a45ea9249c3d962a5ba9d5b60442620a3de00d","observation_id":"ace848c6-0bf3-4310-9c27-cfdd72a62c07","resolution":{"observed_at":"2026-08-05T13:37:25.779709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:25.418691Z","title":"Frozen CLIP: A strong backbone for weakly supervised semantic segmentation","venue":null,"work_id":"a1308935-8f99-4084-85c4-cee076174912","year":2024},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.730633Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:a911278a42f09973e06103ab321ece43faa48f715113ced661da2c51020a1517","observation_id":"87b6216c-268f-4a84-a565-0076ed6b57ac","resolution":{"observed_at":"2026-08-05T13:37:25.531182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:25.225094Z","title":"Representation compensation networks for continual semantic segmentation","venue":null,"work_id":"f62629a0-15f8-47e0-a234-57c69ebd7862","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.840227Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:0d97b47a0558f9fa66dbf1d37fa687e83f0933820233e2710b7aa7bff7ebc908","observation_id":"95e40274-794d-43ec-8356-6c45b3306c2c","resolution":{"observed_at":"2026-08-05T13:37:25.292682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:25.033860Z","title":"Memory-efficient class-incremental learning for image clas- sification","venue":null,"work_id":"03e3bc18-43d6-465d-8212-81c5afb04862","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:19.965152Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:63bb6e179f2edab23117d3152b16625da190a71de1907bde53b252a0c8ea4533","observation_id":"2a1192a1-690a-4580-bb92-3bac02662ed0","resolution":{"observed_at":"2026-08-05T13:37:25.098882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:24.842954Z","title":"RBC: rectifying the biased context in continual semantic segmen- tation","venue":null,"work_id":"b7560926-a60a-43a2-a1ee-66036ad1b916","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.071490Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:dee2775fa1c9aa0b461d6b83dd62d903a44ed246a69fd4fcb0237a5d0cff23e7","observation_id":"de5cac62-c98b-4464-ac59-6ba38ee11a89","resolution":{"observed_at":"2026-08-05T13:37:24.933295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:24.654320Z","title":"From pose to part: Weakly-supervised pose evolution for human part segmentation","venue":null,"work_id":"9bc64cba-5e15-4df9-85c2-0a56e60cfef8","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.153240Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:8b8496f92eb8ecd245db27afa75be8e61a7747bb3038517a2a07bf7b077d675e","observation_id":"a68dee55-6a9e-4144-931c-84299770a543","resolution":{"observed_at":"2026-08-05T13:37:24.750793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:24.482813Z","title":"Scene parsing through ade20k dataset","venue":null,"work_id":"f8ac6adf-f555-4add-8de3-876142f80ab2","year":2017},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.198924Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:f45e40113936b10614cdfa1f9e101fcd0ae577088309ba0aa26dce05188d634c","observation_id":"f98bf814-8eaa-42b4-8d12-4f85730983fa","resolution":{"observed_at":"2026-08-05T13:37:24.573385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:24.270223Z","title":"Extract free dense labels from CLIP","venue":null,"work_id":"d9969e2b-1b3d-4edf-b749-c7fcdb9945cf","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.266971Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:40a3cfc6e3107c1b8bb5b24fe7fc6f58216e24944acfea8715b3bbbdc168ab59","observation_id":"53160fd5-ce07-4a69-9a5a-74815778ac67","resolution":{"observed_at":"2026-08-05T13:37:24.376779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:24.061927Z","title":"A model or 603 exemplars: Towards memory-efficient class-incremental learning","venue":null,"work_id":"5218a728-be0a-4fbe-8a7d-5587f4e9281e","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.344456Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:03b6d38dd67899766d6f33a7193155ceeedd3201dab53d2297dda62807c1ed66","observation_id":"9f725dd6-04d1-4919-83c1-8063b7654e2a","resolution":{"observed_at":"2026-08-05T13:37:24.174765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:23.846865Z","title":"Learning to prompt for vision-language models","venue":null,"work_id":"9687792d-1483-4c80-8b1b-2ca6624595af","year":2022},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.404355Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:9bba5679e144f129635884e8bd9cd5a70fc8dec83f5dceb151e95cec6b789821","observation_id":"12762e9b-bce5-455e-83d0-97a1f10c10d1","resolution":{"observed_at":"2026-08-05T13:37:23.967746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:23.638062Z","title":"Zegclip: Towards adapting CLIP for zero-shot semantic segmentation","venue":null,"work_id":"30c1060a-7c02-46a9-9c70-5c693ea8c9e2","year":2023},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.530024Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:1d4d6810180efd56f883f52529ba293883e214f331ff93ba03e6bada01d2904f","observation_id":"916577f6-94d3-45fa-a402-1f4029101b89","resolution":{"observed_at":"2026-08-05T13:37:23.746876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:23.448030Z","title":"Prototype augmentation and self-supervision for incremental learning","venue":null,"work_id":"5c83c283-45c2-4ac9-9cff-bc5f1f0d3df9","year":2021},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.601359Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:e1888492de4dddb40c1232357b0896e0f7599eefdbb488103fafef98a78a5d8e","observation_id":"c6e79013-266c-4c30-a1d2-54288a96549d","resolution":{"observed_at":"2026-08-05T13:37:23.513082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:23.325361Z","title":"Visual Encoder Since the original version of CLIP [8, 38] was trained on classification tasks at the image level, it cannot be directly applied to segmentation tasks","venue":null,"work_id":"4e218d96-b82f-4e1d-adc9-974c4d349edc","year":null},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.701192Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:a875600069dfc8d04f8e917a518ca27e5cac568015bf3b128f4a9266de128f99","observation_id":"242dc003-d674-47e5-8532-dc637dea9c76","resolution":{"observed_at":"2026-08-05T13:37:23.396989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:23.114316Z","title":null,"venue":null,"work_id":"95f0a628-798e-454e-a7c1-569259122207","year":null},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.800634Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:8a9e08366f587a96845fce7f31b85d5fc07f739f9a3f4bf7be4e11b5de72d7af","observation_id":"7bb11f43-bb1d-4579-9370-b044d5f6ad97","resolution":{"observed_at":"2026-08-05T13:37:23.209568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:22.961623Z","title":"Additionally, we replaced the attention mechanism in the final layer with v-v attention","venue":null,"work_id":"8eede274-bd1b-48ef-90ef-ecad135819f9","year":null},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:20.921005Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:cba0a109d269c42cff70c7c383b971448a1f316f6c5252a2423f9234441bb05e","observation_id":"f5bab5cc-f96e-479f-9204-b6fe6b29c60d","resolution":{"observed_at":"2026-08-05T13:37:23.035284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:22.780671Z","title":"This feature was then used as input to the decoder","venue":null,"work_id":"a05bafa3-ece6-4026-96b1-c7a82933e7c9","year":null},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:21.010791Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:9fada3de0c5db44369d136a23d17ad246463ece21ee6cf6124154a0d932f02d3","observation_id":"cbb2f903-b2c5-4841-a95d-7fcda5cd62cb","resolution":{"observed_at":"2026-08-05T13:37:22.879598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:22.603498Z","title":null,"venue":null,"work_id":"4773635a-13df-4725-ae0a-432262394466","year":null},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:21.101825Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:184c83169dc9ea70d6754afdcf658a4e303259ad3ee33c561ed726822397fcb2","observation_id":"38dde378-5f23-47de-9047-a6a8e3b52831","resolution":{"observed_at":"2026-08-05T13:37:22.682978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:22.425243Z","title":null,"venue":null,"work_id":"ef3811fa-88fa-4a19-b659-319b1f4a3191","year":null},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:21.181586Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:d49509c3c4a549fbd42b73630b307c80262d4c829fe4b93d4670d973ce437e83","observation_id":"bfe6b368-0a3e-4a19-bf95-34c258cc81c4","resolution":{"observed_at":"2026-08-05T13:37:22.514546Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:22.246005Z","title":null,"venue":null,"work_id":"b70a5241-124e-4f5e-963e-32a6622b01ac","year":null},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:21.261833Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:50757f5472e8bc0918a69136663fbbb21de061dc4182fbd0455e06b2a071491b","observation_id":"d69889dc-7ba4-46b4-8e38-99f1f320ea27","resolution":{"observed_at":"2026-08-05T13:37:22.336427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T13:37:31.842225Z","title":null,"venue":null,"work_id":"d38bf51a-7254-4d61-8b52-9023d5454d7d","year":2020},"citing_paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement","version":1},"reference_index":9007,"source":"pdf_text","source_observed_at":"2026-08-05T13:37:15.871699Z"},"links":{"citing_paper":"/paper/2509.00527"},"observation_digest":"sha256:c8104fc8bf4b761aa82d15fa4d505837ac837dc2db5f427aabb2bd392bd71d25","observation_id":"378a6485-5bf8-41bb-b798-6323582ac6b6","resolution":{"observed_at":"2026-08-05T13:37:31.917673Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.00527","last_updated":"2025-08-30T15:18:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T10:57:59.123039Z","submitted_at":"2025-08-30T15:18:58Z","title":"Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":4,"verified_fuzzy":61},"total_outbound_references":76},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2509.00527."}