{"as_of":"2026-08-17T18:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15e80a49240ebce074b43f3a5d97b7df8d86b93c7bc35b846f29abff9ec8d102","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:33:13.826442Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2505.18568/citation-record","integrity":"/paper/2505.18568/integrity","json":"/paper/2505.18568/citation-record.json","paper":"/paper/2505.18568"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:14.008103Z","title":"WSN requires a mask when dealing with various tasks, limiting its applicability to task-aware testing","venue":null,"work_id":"aa485f4c-97f8-42e0-bd37-fa78942c90a5","year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.826442Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:ebd2f368682a39a85be0663f6b6136947c14f86a55a19fecb50ed72290bfc12c","observation_id":"774e76a4-7b0f-4206-82e3-c5296ecd2b98","resolution":{"observed_at":"2026-08-07T14:33:14.012379Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.03635","last_updated":"2019-03-04T15:51:11Z","snapshot_observed_at":"2026-08-14T19:37:43.556604Z","submitted_at":"2018-03-09T18:51:28Z","title":"The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.03635","snapshot_observed_at":"2026-08-07T14:33:13.772133Z","title":"and Carbin, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.772133Z"},"links":{"cited_paper":"/paper/1803.03635","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:5501bd399da13f7b094b99c596b4db81ba544f6c5300d3ca49961490470fdc1c","observation_id":"d06c83ad-e51f-422e-b6b0-00b8c5d295d9","resolution":{"observed_at":"2026-08-07T14:33:13.772133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:14.047134Z","title":null,"venue":null,"work_id":"2ccaa45b-15a6-4045-a350-015c22e6bda7","year":2022},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.815315Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:51b3d779dd9b176a9fbce84f0c27ee5d37899e2ce2f545ec0e7b7e0ea2856390","observation_id":"f5e6b4e9-d491-423b-a139-31cf94294b22","resolution":{"observed_at":"2026-08-07T14:33:14.050869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:13.787459Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.787459Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:6794080a7239438490f06d8117bbef0c7639b8d0abc41f4cbe05f309f0008c34","observation_id":"686c8882-35b0-4476-afe5-ca53c2fc59fa","resolution":{"observed_at":"2026-08-07T14:33:13.787459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13249","last_updated":"2024-03-20T02:21:44Z","snapshot_observed_at":"2026-08-16T14:08:11.783022Z","submitted_at":"2024-03-20T02:21:44Z","title":"A Unified and General Framework for Continual Learning","version":1},"cited_work":{"arxiv_id":"2403.13249","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.13249","snapshot_observed_at":"2026-08-07T14:33:13.900732Z","title":"A Unified and General Framework for Continual Learning","venue":"cs.LG","work_id":"8a3dbf9b-43a3-4121-a04d-0f6ddabb2254","year":2024},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.794252Z"},"links":{"cited_paper":"/paper/2403.13249","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:8960b7e0eed921b51442171aea68e2ac62c89726efb29120d85a062dea01493e","observation_id":"dd588331-af79-4714-8338-9018acdb5e41","resolution":{"observed_at":"2026-08-07T14:33:13.909143Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02575","last_updated":"2024-05-28T06:42:31Z","snapshot_observed_at":"2026-08-16T14:55:15.252360Z","submitted_at":"2023-10-04T04:26:33Z","title":"AdaMerging: Adaptive Model Merging for Multi-Task Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02575","snapshot_observed_at":"2026-08-07T14:33:13.798127Z","title":"Adamerging: Adaptive model merging for multi-task learning.arXiv preprint arXiv:2310.02575,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.798127Z"},"links":{"cited_paper":"/paper/2310.02575","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:6ad17618f79fee633adb7e8492bf134be2f1d997aa86d8a8a999f2bfdd8747ae","observation_id":"f40446d2-ccf2-4bc5-9c06-332a4f6571b7","resolution":{"observed_at":"2026-08-07T14:33:13.798127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11565","last_updated":"2024-02-18T12:24:45Z","snapshot_observed_at":"2026-08-16T14:17:36.938090Z","submitted_at":"2024-02-18T12:24:45Z","title":"Continual Learning on Graphs: Challenges, Solutions, and Opportunities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11565","snapshot_observed_at":"2026-08-07T14:33:13.801867Z","title":"Over- coming generic knowledge loss with selective parameter update","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.801867Z"},"links":{"cited_paper":"/paper/2402.11565","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:7ef51e7e54044ca2a386117e6d0ca365dc979e45ada86c9293cfbc0aad0b23bc","observation_id":"0e264785-0ffa-4017-97c7-9a087ec988f3","resolution":{"observed_at":"2026-08-07T14:33:13.801867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:14.035176Z","title":"Table 6.Comparison between different architecture of models","venue":null,"work_id":"51753d32-2cb0-44d2-8ed9-94b36c88123a","year":2017},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":512,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.819464Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:9746db3204ae35ab04aeb573d12fd678b2d7ef339ed5ff5ff247a8d91b50d3a2","observation_id":"e12bea4f-73ae-43ac-bb62-c809cafbf2d6","resolution":{"observed_at":"2026-08-07T14:33:14.039443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.04476","last_updated":"2019-03-11T17:53:34Z","snapshot_observed_at":"2026-08-16T04:15:37.050917Z","submitted_at":"2019-03-11T17:53:34Z","title":"Continual Learning via Neural Pruning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.04476","snapshot_observed_at":"2026-08-07T14:33:13.779627Z","title":"Continual learning via neural pruning.arXiv preprint arXiv:1903.04476,","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":1996,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.779627Z"},"links":{"cited_paper":"/paper/1903.04476","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:3dd9658a200e4af043344032cbf872dc59e9af49e88093d41021af03e32b6ec7","observation_id":"ddbd9bdc-34e6-46de-98fd-089e8f2e50c2","resolution":{"observed_at":"2026-08-07T14:33:13.779627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.09762","last_updated":"2021-03-17T16:31:29Z","snapshot_observed_at":"2026-08-16T18:38:13.687991Z","submitted_at":"2021-03-17T16:31:29Z","title":"Gradient Projection Memory for Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.09762","snapshot_observed_at":"2026-08-07T14:33:13.790579Z","title":"Gradient projection memory for continual learning.arXiv preprint arXiv:2103.09762,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2000,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.790579Z"},"links":{"cited_paper":"/paper/2103.09762","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:fc6dd794137168872971f8bbe1209325241294844fa68dab3786ddf83e32f61d","observation_id":"5e7a85ab-d2a9-42cf-9053-f49bb04728c5","resolution":{"observed_at":"2026-08-07T14:33:13.790579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08562","last_updated":"2024-02-13T16:04:21Z","snapshot_observed_at":"2026-08-16T14:18:55.689938Z","submitted_at":"2024-02-13T16:04:21Z","title":"Higher Layers Need More LoRA Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.08562","snapshot_observed_at":"2026-08-07T14:33:13.776017Z","title":"Higher layers need more lora experts.arXiv preprint arXiv:2402.08562,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.776017Z"},"links":{"cited_paper":"/paper/2402.08562","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:28b43c4e1b9ae71c8f68904dc3b4d0e48e0febbc38ea04a215a2ecf076edf77a","observation_id":"855d585b-ce32-4186-bbf4-4cdddc32c2b3","resolution":{"observed_at":"2026-08-07T14:33:13.776017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:14.058027Z","title":"The method of deep graph matching (Yu et al.,","venue":null,"work_id":"9340e0c5-b861-4a0a-9195-8746f3ba6d7e","year":2012},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.812171Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:dcb3e827bfff1bd87872d62d315e879f7609118cb3a24dd06c1822d7daf089b3","observation_id":"8a748afc-07f5-45dc-a1b7-509f184b7b81","resolution":{"observed_at":"2026-08-07T14:33:14.061597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.09666","last_updated":"2021-12-03T08:53:13Z","snapshot_observed_at":"2026-08-16T18:38:16.317274Z","submitted_at":"2021-03-17T14:05:05Z","title":"Multimodal End-to-End Sparse Model for Emotion Recognition","version":3},"cited_work":{"arxiv_id":"2103.09666","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.09666","snapshot_observed_at":"2026-08-07T14:33:13.990019Z","title":"Multimodal End-to-End Sparse Model for Emotion Recognition","venue":"cs.CL","work_id":"a5ebb39d-657d-433f-a276-07c74c189965","year":2021},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.768352Z"},"links":{"cited_paper":"/paper/2103.09666","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:c7a150953b3a2ceceb1c243c1b70c44bb3bfd04494ff570b0d1ae940895b2b90","observation_id":"9fa39541-9fd0-4fac-9bc3-e6375556d32e","resolution":{"observed_at":"2026-08-07T14:33:13.995328Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:14.070321Z","title":"Theoretical Supports A.1","venue":null,"work_id":"fa084f61-065c-4c67-bde3-dc1221ecd5e1","year":2008},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.808990Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:a910174e077ebed8cc03bb5494b614e2d93b0d5b558c017a45990dcd8aad290f","observation_id":"82979ca6-d5a8-43c9-b78a-449e25c833ee","resolution":{"observed_at":"2026-08-07T14:33:14.074878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-17T10:49:36.026134Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-07T14:33:13.783184Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.783184Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:f9f8d5c77fee1e78e41fcd1790445e2afe42ab17706dd74d2bd7da8eaee41aa2","observation_id":"bf58d70e-480d-4003-af8d-12d311388351","resolution":{"observed_at":"2026-08-07T14:33:13.783184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:14.022436Z","title":null,"venue":null,"work_id":"f9331254-a88e-4bcb-9df9-d31e4d9a8857","year":2018},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.822734Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:8a130d04cd23e29c82e7b01d878f0c10968df9e9e9eed9c2c15bc88a386ccf66","observation_id":"5734c964-9a2a-42c4-a46f-2f991a9127ae","resolution":{"observed_at":"2026-08-07T14:33:14.026634Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:33:14.091491Z","title":null,"venue":null,"work_id":"6a78b224-066f-40bb-a032-99596e94a0a4","year":2010},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.764175Z"},"links":{"citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:c320f1cca2cc30b5018fe67654412209db521b63449aa2f45bcdf6f6ffb14452","observation_id":"44721028-3416-4117-93d8-044bfc1f3307","resolution":{"observed_at":"2026-08-07T14:33:14.095371Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01578","last_updated":"2017-02-15T05:28:05Z","snapshot_observed_at":"2026-08-14T21:31:52.294004Z","submitted_at":"2016-11-05T00:41:37Z","title":"Neural Architecture Search with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01578","snapshot_observed_at":"2026-08-07T14:33:13.805725Z","title":"and Le, Q","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:13.805725Z"},"links":{"cited_paper":"/paper/1611.01578","citing_paper":"/paper/2505.18568"},"observation_digest":"sha256:d20d5454838d354049aadd99572f7013e39650398dc0e79617783ab8fa592305","observation_id":"ca59c4b0-4ff8-4ddb-b39c-2acdb5a6aff8","resolution":{"observed_at":"2026-08-07T14:33:13.805725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.18568","last_updated":"2025-05-24T07:16:55Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T14:18:56.321676Z","submitted_at":"2025-05-24T07:16:55Z","title":"Learning without Isolation: Pathway Protection for Continual Learning"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":3},"total_outbound_references":18},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.18568."}