{"as_of":"2026-08-06T10:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:55d98147754956c29aa3b5cfa6c02701b146d6630ef39b206a45126ca2e02f1f","coverage":[{"denominator":130,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T05:02:16.134830Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2607.05609/citation-record","integrity":"/paper/2607.05609/integrity","json":"/paper/2607.05609/citation-record.json","paper":"/paper/2607.05609"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Journal of Artificial Intelligence Research , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:e6c3ebb4fe28f2052912fc90db6c0e76f13a2d2f7d19b411fd2b0e321e14dceb","observation_id":"b43b25c0-7b9d-410d-9541-acc68a1a64ef","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:6d0dbd61e3568847f4a646fcd0a41d066b9a6b219e9294299f06ab6e71262550","observation_id":"6a7ebd10-7a4c-45b1-ae99-8393003fafca","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Machine learning , volume=","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:009360f8ba67c1711343750b8a7daee5bc5f81344fc5c076e12ba7204418492a","observation_id":"9be6f7c5-e141-437e-bb75-ff2ba076c781","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:33bbe82517a38673a7c88672090c5ea15d183319caba0e7b59bb8b33d7fd465e","observation_id":"30b398d0-cbe5-46ed-9c53-40a1b3aef8b0","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:447cf332cb5c1a65f34db8b401de134e7a5f64d3b88b4dfb3eed2b6e882ed463","observation_id":"794aee82-bc93-4196-a3cd-188034ab4b85","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:9afae20c0c8cb4b1a76495231e951d5c5eb55e45890015f55a9f856a828c8040","observation_id":"84ef4153-1c17-4bd0-9afa-e54dd503ca06","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:f4f0d6cf651e9f5ea7fcb49604fde997edcdaa26137391bc04e8f40beb0238db","observation_id":"6b4c57a3-98ba-45d6-895c-eebcd7d0623c","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"2020 , school=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:027f93656f6db20d9c4676b8d3b89f2b5ff8d9c281473453ed1398479ac52060","observation_id":"401dc61b-4a88-4263-b574-77a930798aac","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Learning Representations (ICLR) , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:3b40fcde81982d2d2d85690f6be2746bb68e94bc0f3bbae6489e3ec6724d2e67","observation_id":"e1a970ce-1b29-4c2c-b294-03d127003088","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00137","last_updated":"2024-05-28T20:59:41Z","snapshot_observed_at":"2026-07-06T16:25:46.699214Z","submitted_at":"2023-09-29T20:51:24Z","title":"On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00137","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv preprint arXiv:2310.00137 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/2310.00137","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:4f2b85d5a41ac7f9ff765f5ff621943664d56e8996f5100d640a563051e47052","observation_id":"bffe1a11-61e2-408a-aa2b-7d9b9ab3a7e6","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:b7b0919cf756a3ee68ae16b770731098845c028d9bd67f9bab9be048c8a671d8","observation_id":"caad5d1c-8455-47b6-bf3b-e7f0791eded0","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:87a7c33457ad03c8665ec5ebd659861bff438f1f6014421227feaaca1e1b534a","observation_id":"9b531889-db5b-40e7-8f4c-c15a09a01292","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"1994 , school =","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:90a6224ec1e7af59012b7936bc7024c02fbc3cc22834c0359ec60f06b6559155","observation_id":"942b7195-4ae9-4c7a-91d1-28b00ac8a55e","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"The biology and technology of intelligent autonomous agents , pages=","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:813358418fd0c2b28e19f22e7b868aab83babe80c49508f9c8dd31a14fed7108","observation_id":"e2cab784-30d1-43f6-a5b4-d36c376d7ff5","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:8be16db7c836fe43966319e56c8f1ef26f52db937fb4efc55f6ae3c07e0ed8f8","observation_id":"16519ee4-fcad-48a7-80cf-b6eff8596978","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Neural Tangent Kernel: Convergence and Generalization in Neural Networks , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:85602182155571b26eca426eadcbd891f92298647681d5de189bbacf8104c659","observation_id":"fb9f902a-c0e3-4b49-9143-33af76358ab5","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:1a800333a817644cf0261472ffd01b800363e993c160e5981c30c0b9d3d90358","observation_id":"8f1ba752-6da9-45c9-a6b2-9f87c6a4fbda","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:1bf76ec74954ec59040947697816a6c7225ba18bae222a9a5e2a1f27c1e8f0f0","observation_id":"c909fabf-d480-448b-8339-57f37d42c6a5","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"ArXiv , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:b993df54c51bc9f6e86bd424da19b589d216735d03b0a270a4db4ea12050d66f","observation_id":"de96dc08-6075-4230-ab86-8344aa551dc6","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"ArXiv , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:57b39a0ca6e51beceed8db3348da488df2e75def10faa9b15a72a8b6126272a1","observation_id":"0806fdc8-67bc-46f6-a561-ddfdc3516940","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:171512e7b33af13828d5f06f0da2b2c2aafdc24f2a786aff7b69b716b0b06fa4","observation_id":"cdb4c7ac-5f72-4d9e-baf1-07705bc9f2b5","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"ArXiv , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:f0153725dc8b897c9ddbe8087cda9cd453949dd14f629d81294cd1865831948a","observation_id":"765e36b2-743b-476c-8660-2336afcaa30b","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Neural networks , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:4ee49bd47b1e6120b8ca3d5ab81c275ddad4c17006c1211afbbafd2593b6f701","observation_id":"ad4df18f-9846-4db2-8c2f-4cb295f333a8","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:019ce649d12e5a1483c70818aed8b16a12cd03e7ae0d8760f6e15bdd617db95c","observation_id":"5878ae1c-da3b-4c7d-8d91-83866a1df395","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Machine learning , volume=","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:0c4981cad6d238fbbe83fe3a6a42c6311776dbb634502c677df1e2e176997fc3","observation_id":"83397d0c-1ead-4ff8-a1a2-884c8279c93b","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07931","last_updated":"2022-10-14T16:30:23Z","snapshot_observed_at":"2026-08-05T15:15:37.504544Z","submitted_at":"2022-10-14T16:30:23Z","title":"Sequential Learning Of Neural Networks for Prequential MDL","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07931","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv preprint arXiv:2210.07931 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/2210.07931","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:34deb1924fb6f46958a50543e2ed4c6ded8fd759961543ad7f69f32fcc47ef60","observation_id":"05e3e472-1e4a-4bfb-9368-1bb98f7b543f","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Foundations and Trends","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:cd251153325d46d43a9933a9b450e054b9123ac40bdf645f53529d814ef7b0d9","observation_id":"7b5b260b-05e4-44f6-8503-a3b0a8d06840","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Foundations and Trends","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:07bd558966f7a6b45bc32277cf6d0d73807e9969e4bc3f3760439967905861b8","observation_id":"a97d72d3-4784-49ac-ac74-8f7534504f14","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in minimum description length: Theory and applications , volume=","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:bd4185435128e4829bf274fd17d39a47664c0a6f4c9c91ab6d6e64a777ac236b","observation_id":"5ada8c34-4ecd-48b7-b940-49c21b314b12","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Measures of Complexity: Festschrift for Alexey Chervonenkis , pages=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:59e867c75fe5fb3a96b9145393b045c3557a8e0ac6503a91bc12718cf4ba8c0d","observation_id":"d2f4c873-5173-40e1-a72e-6093a9378a29","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:7350052a2a86f8c4ccc234c10c5d9903c2305993007c470fca095552a2af9683","observation_id":"de8ccf77-037a-4558-b481-fcc1f912d7aa","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:3e3f97ea9a4d43c63f2bf5ae9431a3eafd0e7a9abc575f96d80fd27a1d3bff38","observation_id":"9903b543-f5ab-483d-aeb1-6b1e0f1e8c2d","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:33e83c4d5d954ff400fb276424275fc39069bc3b54c9244bc43850bbe261ef95","observation_id":"1732e821-3bc1-4e36-8288-1c97b6118278","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Foundations and Trends in Machine Learning , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:b3761f457ef3806b26e7392420c0d2bfadc6e87273f71f49850af32da55e198a","observation_id":"bb2ac333-6353-48d6-8bf5-09ae74043d0a","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the 20th international conference on machine learning (icml-03) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:e1943925aa2d5a5c5190db5e7342bde916887c65746dfbd300f52f7d4963c1ca","observation_id":"0b849411-6511-4564-9b0c-69c7596d8013","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.13213","last_updated":"2026-06-21T08:13:27Z","snapshot_observed_at":"2026-07-06T08:47:45.187408Z","submitted_at":"2019-12-31T08:16:31Z","title":"Online Learning: A Modern Introduction Using Convex Optimization","version":10},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.13213","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv preprint arXiv:1912.13213 , year=","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/1912.13213","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:7bef4fb485137714b6d6196bac9ceb8aac18430b3cc598652525786389cce5ea","observation_id":"5ad76317-0083-4c49-964c-0fe1edcb85db","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"2004 , publisher=","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:e6e830721a0ba27f01184c4ccc9e996281e1fc7f05eb4b099bde0c9b29ad7374","observation_id":"135ecdd7-e49c-41d6-99f2-59b8e2324184","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:dfcec1df56340498c9af7be21ff9873eef5a0f34278c5ddc79e8e687bfab70fe","observation_id":"137bc2a2-0b4c-4ea3-94ca-535cdfbffd78","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Neural Networks , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:b0e279dcce84bdcf7565dfa51b71348778f7422f499da683a50132766e00fa79","observation_id":"b250b77a-b0b7-4eca-9e2e-e54c2275d82a","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the 35th International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:41bb726fb5efd5330f977e97258ee226960ddaa8a44be75b804225ab1f06f4fb","observation_id":"83773699-193d-4531-841f-d110e0555375","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Artificial Intelligence and Statistics , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:4c36172d93fb316cfb72983b7bf80456c82350fb0513ee078f8a3ea41d09cbbd","observation_id":"fc1652e0-8413-4cc4-a0ed-669fa93b4513","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:6f5eefef7b5360fca3f378f9739c8efa87399f1d086682e984305620eda91948","observation_id":"368e123b-f437-4bb2-a8c2-6e068ddf3d1c","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Operations research , volume=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:2993bd46034ea501a875c1cab59606238abb8470a064f7bcb65223622f62fb65","observation_id":"a4693fd7-d526-4429-9848-59c6327469bb","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06325","last_updated":"2022-05-05T17:16:00Z","snapshot_observed_at":"2026-07-06T11:38:09.580962Z","submitted_at":"2021-08-13T17:33:47Z","title":"Continual Backprop: Stochastic Gradient Descent with Persistent Randomness","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06325","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv preprint arXiv:2108.06325 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/2108.06325","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:b0af830ec3a7e34293f51e419e8fdda29449538930022a3c1784fa1596260177","observation_id":"99a5d01c-a610-4c78-b1b6-84125ccd6861","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:44598a564fdaab28de692f857ccd350fa22d6ed11e747519ce8930e3b8847046","observation_id":"17e44481-ea61-4909-8b07-38fc8bece625","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:98db287338cf0d34bb00261e1ea7884d0f806e851c7b17dfdb283068d1edbc85","observation_id":"ba618233-a356-470f-9e37-4d8dcb15a4fc","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Conference on Learning Theory , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:aeb61108dee096416927e74cec272bcec8f7de1d1d27bf44912e72092b7edef6","observation_id":"f7b5f07e-b7d2-401a-9561-d56ed6efb605","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"On Angles between Subspaces of a Finite Dimensional Inner Product Space Per","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:653a774cda6f177d0d3f6d1ea259d3e21b5a878c2c1e8a7215250e8dbbca65f3","observation_id":"251dddaf-27b2-4490-89c3-f135a5769c1e","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the IEEE/CVF international conference on computer vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:050a5163d620c2fcf3b3c5873c4d8925e892a00f05fac31ac28a9fd4011672cb","observation_id":"71981c87-80aa-43b4-a99d-7177cdaf2f63","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:41e5d04122c109eb98d7fd61819a9cbbfeff4c4d3453598b4a98fae1525b8438","observation_id":"5965abe3-cc1d-4da8-94ef-042a1d08a76e","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:0adbc297dd3444b3c7b5189e97a6602f03acd9906829c2ee7d063005de4d91a9","observation_id":"ee0f1723-323b-4802-b18a-1204c5fe221f","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Communications of the ACM , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:0dcb80836ceb3a1aa88bc2bae0c31072961a57915c5de4570dc6921429b55412","observation_id":"79ca08c3-369d-49b4-874e-47c372de708e","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:8a33200fc6718003ad8eb146fbc939a20b6bbe1768f3e7b187a8ac8204bf4f05","observation_id":"611e57f6-fab4-442f-9018-8f04795ca6ce","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:7d63425fc7c76bbcdea95c715a7dda58d43a0a98f6f9961935703d9f97f7d80d","observation_id":"1a8eb69c-712e-463e-be6d-63c47c6ec8c9","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the IEEE conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:07094dca86b2afdb521b8e160340dd7dee493d8beb1b8ca823e92c0368781481","observation_id":"9d61dc45-977d-40cf-813c-e0fec67d8df8","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Conference on Lifelong Learning Agents , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:10b3fdd24e7a5cb586680c441abcde42c35d55b452574b54073bd6f10bedf99f","observation_id":"8f3a3cba-a28d-4758-ade5-2b88ccf19c6e","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.16611","last_updated":"2024-07-23T16:18:00Z","snapshot_observed_at":"2026-08-05T11:21:33.022177Z","submitted_at":"2024-07-23T16:18:00Z","title":"Local vs Global continual learning","version":1},"cited_work":{"arxiv_id":"2407.16611","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.16611","snapshot_observed_at":"2026-07-11T05:07:48.450966Z","title":"Local vs Global continual learning","venue":"cs.LG","work_id":"b4925ff4-572e-430e-9fbb-2923fb473cca","year":2024},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/2407.16611","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:493ae289b381653fb9f8bf8f324b37b8dfaac5f690e63a5431c7845058982257","observation_id":"4cdc7646-c4ac-4d7e-8786-81cc8259bd61","resolution":{"observed_at":"2026-07-11T05:07:48.452916Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10974","last_updated":"2021-02-08T23:50:16Z","snapshot_observed_at":"2026-08-05T16:01:03.858027Z","submitted_at":"2020-06-19T06:08:40Z","title":"Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint","version":3},"cited_work":{"arxiv_id":"2006.10974","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.10974","snapshot_observed_at":"2026-07-11T05:07:48.458535Z","title":"Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint","venue":"cs.LG","work_id":"d2a8a77d-b01b-4d73-8859-6dcb954ebd3f","year":2020},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/2006.10974","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:f30c2a5a89fb7a28ab2f69a1911903c37bea8a36280c509a75c8e5c5fdaf964a","observation_id":"00a50272-bd0b-4b0c-b44d-8c98ed19e004","resolution":{"observed_at":"2026-07-11T05:07:48.460824Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Journal of Numerical Mathematics , volume=","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:f4f4c9d8722454c0c5921eb3696d11f024e82e59185880c700d4cbd44df39c39","observation_id":"e2b949af-9898-4e48-a14f-ef8ae7a48c54","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:ee06a4d93b3e1415a75405191b46d7c63496bb709d8abae7b1e895da191d0617","observation_id":"7646cd30-50d3-4485-b1bb-05b58c6d6a26","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"1989 , issn =","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:b088e67da74e32c40dd782fc624d6c4360eba34cba538fa98663b892ef38c1cf","observation_id":"d0457800-247c-4410-9b47-19bf768eb701","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the National Academy of Sciences , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:95664d3a8335d0661f236d42ac337182dc596a83c0204b43f3f4ca36c6d933c0","observation_id":"48be2aa4-8a2d-4d6c-b4de-2c8e11678586","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the 34th International Conference on Machine Learning (ICML) , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:9f3852e8e4b3cd57c8e2410e862f2990fd92db69eec19b0b8ea350198615f7a7","observation_id":"2dba18d3-120e-4a64-a5e6-2df83b81148c","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the European Conference on Computer Vision (ECCV) , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:6b460d0ccde90ef1dc702fdb0650e09e908e059097a33f1f7fa8fe394a8dd4e9","observation_id":"29cee94e-7c27-47b1-bcc1-e667f9710157","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:1366b79e88efd12e6fc1fea2357f4c1921f087961a714eb6e7458a1974b91ba8","observation_id":"c07ec82b-3d12-4b02-a2a6-89e50955a712","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:451e8eba1d521329fd66a849aec3fd213cc95b2a16f907a7e5fa209991121fb7","observation_id":"0ee6455a-95c9-48fc-8c16-02f4a7404981","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:a3494220d921e16f8a8829a9221605079ed19cf04ab39a6edcba8fa4342f30d0","observation_id":"9228e6ae-cba2-4fb9-8292-a9c7d4d7efe8","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:ea527d005693904190b2506f2df37c712b010b8f9f690c27da852dc023940533","observation_id":"57b528e6-8b85-4c0e-b276-662934629ae6","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"2006 , publisher=","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:12f9eafad98552667b2fb3019a9ea0b615c41d9f7cda4374861066e1e1c26404","observation_id":"1a382de4-96ba-419f-af24-b10654b61aeb","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the eleventh annual conference on Computational learning theory , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:ee98c9a1a611377da6f8f66c30c9c9fe38aebd13d41bf2f65a6ae6da3e46e584","observation_id":"0be022df-6b1e-479e-acb7-39e3d1555c46","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Nature Machine Intelligence , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:b3fd9a368a344d5957790122eae266bbcd503ed0510d2bcd729d3aba813d067d","observation_id":"2856a19f-ffb1-4e15-aa35-f0b9e7c92415","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Is Multi-Task Learning an Upper Bound for Continual Learning? , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:174b56fcff9d57c517ce69cf247f7766b180a1b9b4e206e21c40c195c54a44a7","observation_id":"c3df7849-25f0-4141-8fc4-d6fa254cf145","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the 36th International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:1675dfcff540f84e33b661acc145940a4b9df10ab4f7fe8ee7c957e9105ee5d9","observation_id":"2cf3baa4-1982-497d-ab19-51a86bedc152","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Trends in Cognitive Sciences , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:6c351c1e6eb7c500c536a9b14b58562e64d50abeae0e82030cc7993c4c7c8c0e","observation_id":"0c9c48a5-6f5b-4b8a-bf64-2f75a168701e","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv preprint arXiv:1707.06347 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:4ad63dc867b9de79d8a98256c2cf4e3f11d7b2ecca52daa15430606e862e90e5","observation_id":"110ccbf9-2bcc-4e76-b73d-1527c00c7217","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the Conference on Robot Learning (CoRL) , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:8c20db0202b4668dc3eb4f6d80c56a7ffcf73131097d72c14645934afa36269f","observation_id":"20f4bd2d-7005-4fd2-a0f4-8f6d8248873f","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"2018 , eprint=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:be001131e48f05102b043668865f3279f21431be9c9cf26f67f84ac6d14e2273","observation_id":"b8040ba8-c13b-43ce-934d-076382aa0bce","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"2013 AAAI spring symposium series , year=","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:9106312d13e5a60132f4746eab1b329bebb382ecf91d937192455cc5494478b7","observation_id":"7b61f549-7be1-4656-9813-36b1409a4784","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"The Psychology of Learning and Motivation , volume=","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:e8c9a193fad2c0b73fad3d874025628759ae3d10c675f323e4473f60060d391f","observation_id":"5e0ef2ec-4140-4bd9-87cd-b9e7fbece3f7","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021) , year=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:36ded6af725167dd48589cdd4f1734e3bc991607fd15ce4450b092476e05633e","observation_id":"199a35da-4b6b-4b4c-ab2e-e9d379676c96","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:8b13748b42436f07017b228474d5a2e65600b5f16d12caeed65018c024f32201","observation_id":"3e9c20ca-3ea4-4426-b6f9-a103854cfdf5","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12995","last_updated":"2022-05-25T18:05:44Z","snapshot_observed_at":"2026-08-05T04:08:23.503158Z","submitted_at":"2022-05-25T18:05:44Z","title":"Black holes and cryptocurrencies","version":1},"cited_work":{"arxiv_id":"2205.12995","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.12995","snapshot_observed_at":"2026-07-11T05:07:48.413006Z","title":"Black holes and cryptocurrencies","venue":"hep-th","work_id":"7b24396b-895e-4cba-8a65-c02473a50f4b","year":2022},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/2205.12995","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:5bab8c0e1050ff45b3496c1d1e7aa8a7d5c22bdce90166e2da89e18da4b6c101","observation_id":"f8744ee9-bfa5-44fe-aa81-d927c8b14d80","resolution":{"observed_at":"2026-07-11T05:07:48.414662Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.08568","last_updated":"2019-01-22T21:49:25Z","snapshot_observed_at":"2026-07-06T06:46:13.416616Z","submitted_at":"2018-06-22T09:22:42Z","title":"Continuous Learning in Single-Incremental-Task Scenarios","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.08568","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv:1806.08568 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/1806.08568","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:5532cd6a39e0aecf7be640ede729812decacfbf3875431fa065559ee8355dcf2","observation_id":"9fad71ad-70fb-4f81-b6ac-655b7bee78fc","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Proceedings of the 34th International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:c61c1a5da783148f45e4331563a7ca7b59ba50925c42e94e7fcbd9c96ec9739f","observation_id":"6436709d-aee1-479e-a87f-7422faf93cb4","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.04671","last_updated":"2022-10-22T14:34:44Z","snapshot_observed_at":"2026-08-05T07:46:46.355580Z","submitted_at":"2016-06-15T08:20:51Z","title":"Progressive Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.04671","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv:1606.04671 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/1606.04671","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:7e2b1d514a42f65c9bc7fbeb6577a7f9aaae88f4336e3465276e85a00ac3ee22","observation_id":"993ef997-b338-4d3c-afe8-70d72ad7e0dd","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"International Conference on Artificial Intelligence and Statistics , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:f64803fff1184fe0cf9a2eb9ed5c71b7eb6b9df5c6a72b307c838b8d5682020c","observation_id":"461298c8-5963-4e88-b0b8-3203f9f5bfcd","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Advances in Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:50d8d8366adfe6f65550b2a988989a3a9e87902d5020695cf695a9c2caac273f","observation_id":"1c9e4f50-3ce7-4399-b5bf-accf206934c0","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Connection Science , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:287f01442eb342fc87c89c152dfb91d79945f70982cf9ff626b12f6dca89c75a","observation_id":"40c6b606-f713-41c7-bc80-52140bd95567","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1306.5151","last_updated":"2013-06-21T14:31:57Z","snapshot_observed_at":"2026-07-06T03:16:28.287173Z","submitted_at":"2013-06-21T14:31:57Z","title":"Fine-Grained Visual Classification of Aircraft","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1306.5151","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Blaschko and Andrea Vedaldi , title =","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/1306.5151","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:55fb4f16be19c7be5c9bff6eaf0f383a3f925a25507bcf5605733f4e2c221fc3","observation_id":"e55c2c95-2fce-4651-8e26-b03fadfb056f","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Cimpoi and S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:418f3a03d9d09eab0c936685f3f5e83bad33c92232579eb7d871ab00a26d5ec3","observation_id":"7b370022-a181-4702-b0cd-b0b2636c183b","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"European Conference on Computer Vision , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:d15878655646e3496bd474507ed523848cf61ba172fe37397cb17b87de111add","observation_id":"93ce6ac4-4c74-4805-a412-a6fc25d0afcd","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"IEEE Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:663b3547eaa07fe97c17a3fda330a4ca9f16028b5e1a350090dfd2926e397892","observation_id":"7b16870e-7933-4e73-ae66-e7be4a948ef1","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"2009 , howpublished=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:9498e9381a741e9af90afc8d1de50674c43f98b2d76d35ed61f2a818be29c7d7","observation_id":"4ebad76e-ede7-490d-ac44-0e7ea9a0ea35","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Machine learning , volume=","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:d04503ae10d94055ad3d6622073b1f626e0f628e72bf54f9c770b8bd917fa477","observation_id":"370c6758-7ce4-4502-982d-c29af89bcc22","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.01275","last_updated":"2018-04-30T04:24:26Z","snapshot_observed_at":"2026-08-03T12:09:42.690927Z","submitted_at":"2017-12-04T06:03:26Z","title":"A Deeper Look at Experience Replay","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.01275","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv preprint arXiv:1712.01275 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/1712.01275","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:d45802b3ee7296dc24e1c46ea76d9135eff13901a06abc293e03690dd767856a","observation_id":"e985d4bd-e2e7-428c-9206-829b886b9b71","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02438","last_updated":"2018-10-20T18:55:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2015-06-08T11:12:48Z","title":"High-Dimensional Continuous Control Using Generalized Advantage Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02438","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"arXiv preprint arXiv:1506.02438 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/1506.02438","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:9c2924e2ff3c4a62172e31a7e84471b749c39daa960997a7a575660ef95bfe0c","observation_id":"f1148caf-dcf1-4210-8150-90919a112af1","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"2018 , publisher=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:406df056cec4f7845d76fc478334761367b1b3a9b74f4c2b5329d5ce9738ea49","observation_id":"a4edcc66-ec4d-4622-8fdb-4ce2464f9478","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:6c03091a36228910060438dad545b27fae17cf52f9298c35e7439d37f715066e","observation_id":"1e23501e-87a0-4a1b-b72b-850a505236d3","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.10919","last_updated":"2021-10-28T14:31:25Z","snapshot_observed_at":"2026-07-06T11:11:58.263934Z","submitted_at":"2021-05-23T11:33:04Z","title":"Continual World: A Robotic Benchmark For Continual Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.10919","snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":"Continual","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"cited_paper":"/paper/2105.10919","citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:aeac59e00a83609fc1994e702d3046965e6902d08f79d9f43620b40c5a8bb92d","observation_id":"bcc05833-42af-4aaa-9fbc-1770ee547ed1","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T05:02:16.134830Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-07-11T05:02:16.134830Z"},"links":{"citing_paper":"/paper/2607.05609"},"observation_digest":"sha256:2efc34aa908fb6519f888f5c8621ec3f3c186b75e0d58bf45b2e8cc7c7431585","observation_id":"f69c3b96-6571-4e7e-bf8b-3b031f3c2876","resolution":{"observed_at":"2026-07-11T05:02:16.134830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.05609","last_updated":"2026-07-06T20:11:53Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-06T02:25:44.946910Z","submitted_at":"2026-07-06T20:11:53Z","title":"To Retain or to Adapt? Generalizing Continual Learning"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":97,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":130},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 100 of 130 outbound references and 0 inbound Pith citation observations for arXiv:2607.05609."}