{"as_of":"2026-08-16T00:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7a1b0e739d59362cdfe9317151a215c964cae54ec63f4ccdf553bbb0963461b7","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:26:37.743830Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:58:06.583428Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T14:58:07.049926Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.10710","snapshot_observed_at":"2026-08-01T17:51:34.846527Z","title":"arXiv preprint arXiv:2506.10710 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17513","last_updated":"2026-07-20T03:38:17Z","snapshot_observed_at":"2026-08-15T11:01:39.040469Z","submitted_at":"2026-07-20T03:38:17Z","title":"After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T17:51:34.846527Z"},"links":{"cited_paper":"/paper/2506.10710","citing_paper":"/paper/2607.17513"},"observation_digest":"sha256:156a77e1627605c2e2b26dcf0077f12f96618d3c67041b114f4fb54dfd5e5933","observation_id":"b69d2f5f-1f71-470f-a140-17e34e86c44c","resolution":{"observed_at":"2026-08-01T17:51:34.846527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"cited_work":{"arxiv_id":"2506.10710","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.10710","snapshot_observed_at":"2026-08-11T14:58:07.049926Z","title":"Continual Hyperbolic Learning of Instances and Classes","venue":"cs.CV","work_id":"d8ad6fed-7fc2-4915-8cfa-63233d6937f5","year":2025},"citing_paper":{"arxiv_id":"2608.09572","last_updated":"2026-08-10T13:07:26Z","snapshot_observed_at":"2026-08-16T00:40:24.062813Z","submitted_at":"2026-08-10T13:07:26Z","title":"Hyperbolic Multimodal Continual Learning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T14:58:06.583428Z"},"links":{"cited_paper":"/paper/2506.10710","citing_paper":"/paper/2608.09572"},"observation_digest":"sha256:6391f487879c4e407010f8c02d567fff1c58f487a8f5cbddca662e463f836535","observation_id":"0d4d8df9-cbbc-424c-abb7-8de7c723a3a6","resolution":{"observed_at":"2026-08-11T14:58:07.054381Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.10710/citation-record","integrity":"/paper/2506.10710/integrity","json":"/paper/2506.10710/citation-record.json","paper":"/paper/2506.10710"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1809.01498","last_updated":"2019-05-27T12:36:58Z","snapshot_observed_at":"2026-08-14T18:35:08.495412Z","submitted_at":"2018-08-30T13:54:45Z","title":"Skip-gram word embeddings in hyperbolic space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.01498","snapshot_observed_at":"2026-08-07T04:26:37.699353Z","title":"Skip-gram word embeddings in hyperbolic space.arXiv preprint arXiv:1809.01498,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.699353Z"},"links":{"cited_paper":"/paper/1809.01498","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:30316db21c5ea70ca91381f1eb165af4fbc5f18198772140b03c378c1aea0dc4","observation_id":"fedbd86a-3742-4d3d-9eab-2659f21ef9a1","resolution":{"observed_at":"2026-08-07T04:26:37.699353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18762","last_updated":"2024-02-29T00:02:33Z","snapshot_observed_at":"2026-08-13T04:07:47.729608Z","submitted_at":"2024-02-29T00:02:33Z","title":"Disentangling the Causes of Plasticity Loss in Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18762","snapshot_observed_at":"2026-08-07T04:26:37.704650Z","title":"Disentangling the causes of plasticity loss in neural networks.arXiv preprint arXiv:2402.18762,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.704650Z"},"links":{"cited_paper":"/paper/2402.18762","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:526d501952cc36ab1fae1f77c25d696848da7e76c90d1990571354232d74efe0","observation_id":"46488777-acd7-4786-b1f6-8d2f68398b3d","resolution":{"observed_at":"2026-08-07T04:26:37.704650Z","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":"2026-08-07T04:26:38.007334Z","title":"clvision-challenge-2022 reports.https://github.com/ContinualAI/ clvision-challenge-2022/tree/main/reports,","venue":null,"work_id":"d01fb6c7-e479-4e53-b56a-0e22eb1a6abd","year":2022},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.715080Z"},"links":{"citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:3a000f03182aa3a2e2ff16d691bc83f8eae6d45f0a0cef427842e2267fa75782","observation_id":"9b4baba6-ec6c-4f5e-9605-13353945f2dc","resolution":{"observed_at":"2026-08-07T04:26:38.011906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.08210","last_updated":"2021-03-17T14:36:34Z","snapshot_observed_at":"2026-08-10T04:16:11.756351Z","submitted_at":"2020-06-15T08:23:20Z","title":"Hyperbolic Neural Networks++","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.08210","snapshot_observed_at":"2026-08-07T04:26:37.724508Z","title":"Hyperbolic neural networks++.arXiv preprint arXiv:2006.08210,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.724508Z"},"links":{"cited_paper":"/paper/2006.08210","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:07c17434599912ff741b370de9350ba5935c390f1178b65f530343ee2b5d3adc","observation_id":"d010e01e-d6a3-4a2f-860b-ddfea9f6caed","resolution":{"observed_at":"2026-08-07T04:26:37.724508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.06546","last_updated":"2018-11-22T15:46:17Z","snapshot_observed_at":"2026-08-14T18:14:24.428044Z","submitted_at":"2018-10-15T17:54:36Z","title":"Poincar\\'e GloVe: Hyperbolic Word Embeddings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.06546","snapshot_observed_at":"2026-08-07T04:26:37.730050Z","title":"Poincar\\’e glove: Hyperbolic word embeddings","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.730050Z"},"links":{"cited_paper":"/paper/1810.06546","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:073f1152442ac4ef317354a86a2dd0fcba4885d7451ab07dd8da64384eade389","observation_id":"836994ce-6ef0-4cf9-9843-aaef408652cb","resolution":{"observed_at":"2026-08-07T04:26:37.730050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01409","last_updated":"2023-02-02T20:47:45Z","snapshot_observed_at":"2026-08-13T12:52:26.534739Z","submitted_at":"2023-02-02T20:47:45Z","title":"Hyperbolic Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01409","snapshot_observed_at":"2026-08-07T04:26:37.739228Z","title":"Hyperbolic contrastive learning.arXiv preprint arXiv:2302.01409,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.739228Z"},"links":{"cited_paper":"/paper/2302.01409","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:33bf336801fd7843c9ec6039e2d026c7712939bc26263d045925c5d638a07354","observation_id":"4377d58d-c295-4123-841e-2aa5d1817627","resolution":{"observed_at":"2026-08-07T04:26:37.739228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-08-13T15:36:09.803655Z","submitted_at":"2022-05-26T08:24:01Z","title":"A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-08-07T04:26:37.743830Z","title":"Forward compatible few-shot class-incremental learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.743830Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:01480b5d89941221bf90a2cabba98421945121ddba774273a2878c4077ec617f","observation_id":"64fd80f3-6896-4a68-9c14-d1706b4e2432","resolution":{"observed_at":"2026-08-07T04:26:37.743830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.02819","last_updated":"2020-07-17T16:42:53Z","snapshot_observed_at":"2026-08-10T04:15:45.879911Z","submitted_at":"2020-05-06T13:39:30Z","title":"Geoopt: Riemannian Optimization in PyTorch","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.02819","snapshot_observed_at":"2026-08-07T04:26:37.694321Z","title":"Geoopt: Riemannian optimization in pytorch.arXiv preprint arXiv:2005.02819,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.694321Z"},"links":{"cited_paper":"/paper/2005.02819","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:53d88967f1ade74afa115944c73666aba4a6fb81cac336471fc61d010aeabd7e","observation_id":"6ea4670c-a54b-4648-bbec-88b3e4d09aa9","resolution":{"observed_at":"2026-08-07T04:26:37.694321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04327","last_updated":"2025-03-08T22:31:27Z","snapshot_observed_at":"2026-08-15T02:41:36.057444Z","submitted_at":"2024-10-06T01:30:40Z","title":"Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning","version":4},"cited_work":{"arxiv_id":"2410.04327","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.04327","snapshot_observed_at":"2026-08-07T04:26:37.808824Z","title":"Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning","venue":"cs.LG","work_id":"d244027b-0a58-4af3-ba96-d889a3564929","year":2024},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.734662Z"},"links":{"cited_paper":"/paper/2410.04327","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:d420163b04987fcd35aed74e2c868c1a13dafd3f9ce54ab45dac2dbb95765b27","observation_id":"5d2881ca-d167-48d7-b3ca-98948940f64f","resolution":{"observed_at":"2026-08-07T04:26:37.815690Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.00420","last_updated":"2019-01-09T11:11:47Z","snapshot_observed_at":"2026-08-15T06:05:04.839393Z","submitted_at":"2018-12-02T16:39:19Z","title":"Efficient Lifelong Learning with A-GEM","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.00420","snapshot_observed_at":"2026-08-07T04:26:37.667468Z","title":"Riemannian walk for incremental learning: Understanding forgetting and intransigence","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.667468Z"},"links":{"cited_paper":"/paper/1812.00420","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:ad09bd5b055394ccb24b238cbce7f3c8cc6d4da4508b33f7fac623ed3c6452bd","observation_id":"40a6328a-faf8-4e41-b3f8-803934ca0091","resolution":{"observed_at":"2026-08-07T04:26:37.667468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.04313","last_updated":"2018-06-12T03:25:15Z","snapshot_observed_at":"2026-08-14T19:04:55.806029Z","submitted_at":"2018-06-12T03:25:15Z","title":"Embedding Text in Hyperbolic Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.04313","snapshot_observed_at":"2026-08-07T04:26:37.683300Z","title":"Embedding text in hyperbolic spaces.arXiv preprint arXiv:1806.04313,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.683300Z"},"links":{"cited_paper":"/paper/1806.04313","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:abee5988740799b2e9a87583a4e5a363455a10294c90ac257b2de1e5784463b3","observation_id":"ff5c4f2f-88f6-4197-84a7-13bda0c00a73","resolution":{"observed_at":"2026-08-07T04:26:37.683300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00054","last_updated":"2021-07-14T22:41:30Z","snapshot_observed_at":"2026-07-06T09:16:43.105433Z","submitted_at":"2020-04-30T19:05:41Z","title":"APo-VAE: Text Generation in Hyperbolic Space","version":3},"cited_work":{"arxiv_id":"2005.00054","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.00054","snapshot_observed_at":"2026-08-07T04:26:37.977103Z","title":"APo-VAE: Text Generation in Hyperbolic Space","venue":"cs.LG","work_id":"e5362d86-3204-4fa3-b356-15cb56bde1ef","year":2020},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.673043Z"},"links":{"cited_paper":"/paper/2005.00054","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:5af6ac012d0b9e04d89a8c5d3b809591f52b8078d24d25ecbcd937e963193102","observation_id":"03a7a0fa-0a8f-4e65-a31f-c8a87a7ca0f7","resolution":{"observed_at":"2026-08-07T04:26:37.982157Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.06833","last_updated":"2022-12-13T11:51:03Z","snapshot_observed_at":"2026-08-14T07:46:12.448404Z","submitted_at":"2022-12-13T11:51:03Z","title":"3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding","version":1},"cited_work":{"arxiv_id":"2212.06833","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.06833","snapshot_observed_at":"2026-08-07T04:26:37.860470Z","title":"3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding","venue":"cs.CV","work_id":"2629e55e-d40b-4f39-ac31-b98474496767","year":2022},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.719697Z"},"links":{"cited_paper":"/paper/2212.06833","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:bc91ced1447d291bc230bea3691d50f131d7c2b7b6f4fe19723f12278d0347c4","observation_id":"33a607c8-2521-4662-a2f2-a00d9610eb02","resolution":{"observed_at":"2026-08-07T04:26:37.865511Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18069","last_updated":"2025-05-19T19:12:45Z","snapshot_observed_at":"2026-08-12T23:56:16.161785Z","submitted_at":"2024-05-28T11:29:25Z","title":"An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates","version":2},"cited_work":{"arxiv_id":"2405.18069","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.18069","snapshot_observed_at":"2026-08-07T04:26:37.881191Z","title":"An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates","venue":"cs.LG","work_id":"796a56db-c639-4009-b85b-05098952dbd6","year":2024},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.709637Z"},"links":{"cited_paper":"/paper/2405.18069","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:4082931d3f8fb1672188f9a0da82e83734c9d3d8589f35f0adeaa4e35f4662d5","observation_id":"0fbfe507-a597-4ab7-85f4-557b05fd374d","resolution":{"observed_at":"2026-08-07T04:26:37.886984Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-14T22:57:08.956233Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-07T04:26:37.689028Z","title":"Distilling the knowledge in a neural network.arXiv preprint arXiv:1503.02531,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T04:26:37.689028Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2506.10710"},"observation_digest":"sha256:e810b7b8a3e62f7891499bf0bbcae7b9f0f2e28fd8391f14a0a87a5f84990c56","observation_id":"e66fc246-5b4c-41f8-abb5-d25edd1bff13","resolution":{"observed_at":"2026-08-07T04:26:37.689028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.10710","last_updated":"2025-06-12T13:59:57Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T11:00:57.124526Z","submitted_at":"2025-06-12T13:59:57Z","title":"Continual Hyperbolic Learning of Instances and Classes"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":4,"verified_fuzzy":1},"total_outbound_references":15},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2506.10710."}