{"as_of":"2026-08-07T23:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f72c58baee224a65b8e7dda65ce71ce7370672df3598e77e8ccfb9ec75a0932c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:50:09.671394Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T00:47:30.262121Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2411.02813","last_updated":"2026-05-21T06:49:45Z","snapshot_observed_at":"2026-08-07T22:18:39.897786Z","submitted_at":"2024-11-05T05:19:09Z","title":"Sparse Orthogonal Parameters Tuning for Continual Learning","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-23T18:06:35.511653Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2411.02813"},"observation_digest":"sha256:c5a725c1b066098f2337bb76fce731c478667522490979a68e1a4c7f1c3e6e94","observation_id":"bb85a644-bb9d-470a-9744-e073784aacf8","resolution":{"observed_at":"2026-05-23T18:08:18.768054Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2026-08-07T13:50:09.671394Z","title":"A model or 603 exem- plars: Towards memory-efficient class-incremental learn- ing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20835","last_updated":"2025-05-27T07:55:03Z","snapshot_observed_at":"2026-08-07T20:54:45.699154Z","submitted_at":"2025-05-27T07:55:03Z","title":"ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:50:09.671394Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2505.20835"},"observation_digest":"sha256:16c973d7063dfc4f17e35ced30f36132bfced9bd7ec0d98335a898a8b11217db","observation_id":"2a720d3d-c98c-449d-a4eb-bceebf0e7f95","resolution":{"observed_at":"2026-08-07T13:50:09.671394Z","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":"2026-07-06T13:14:09.949660Z","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":"2026-08-07T04:17:31.439348Z","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":"sha256:71d97022e64eddec5e9dc81ce723ff12ad412a3d85ebcdf338381120ed0c9968","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":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2506.21035","last_updated":"2026-05-29T11:08:12Z","snapshot_observed_at":"2026-08-06T22:32:52.062894Z","submitted_at":"2025-06-26T06:19:05Z","title":"Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts","version":5},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-05-22T13:06:03.463520Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2506.21035"},"observation_digest":"sha256:020f43923199c774c38f7672319ffd3d51f62d3777f953223e1076e9c45febba","observation_id":"711e7ec4-5d18-4fa3-b3eb-371b263e18e0","resolution":{"observed_at":"2026-05-22T13:06:34.461684Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2026-08-04T16:55:15.102431Z","title":"A model or 603 exemplars: Towards memory- efficient class-incremental learning.arXiv preprint arXiv:2205.13218, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.11285","last_updated":"2026-07-27T15:45:27Z","snapshot_observed_at":"2026-08-06T21:06:51.036527Z","submitted_at":"2025-09-14T14:24:41Z","title":"CIFNet: An Analytic Neural Learning Framework for Efficient and Calibrated Class-Incremental Learning","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T16:55:15.102431Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2509.11285"},"observation_digest":"sha256:91a9d31abe189f511b14106c770819475e0f617fefc80ec06dd1b91c3ebe69c1","observation_id":"3f95b71c-4b3d-4681-9e2d-42729f73221f","resolution":{"observed_at":"2026-08-04T16:55:15.102431Z","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":"2026-07-06T13:14:09.949660Z","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":"2026-08-04T09:27:54.163876Z","title":"A model or 603 exemplars: Towards memory-efficient class-incremental learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.16077","last_updated":"2026-07-27T02:57:59Z","snapshot_observed_at":"2026-08-07T18:42:26.082614Z","submitted_at":"2025-10-17T11:16:08Z","title":"Continual Knowledge Consolidation LORA for Domain Incremental Learning","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T09:27:54.163876Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2510.16077"},"observation_digest":"sha256:82c5e616534282cfb99ad74c59473ea6a3f4079b1cef7c6ed0d2f95d90bcba11","observation_id":"278522ee-078a-4671-83f6-8d7bd19270ed","resolution":{"observed_at":"2026-08-04T09:27:54.163876Z","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":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2512.03537","last_updated":"2026-04-03T06:15:30Z","snapshot_observed_at":"2026-08-02T13:08:07.903545Z","submitted_at":"2025-12-03T07:57:48Z","title":"Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-17T01:50:47.258991Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2512.03537"},"observation_digest":"sha256:2bea15d29f33eb14a670d93fa187d5c91cb26b06db7ff7be84366a87419ff790","observation_id":"554e2c0b-0074-41e2-974b-ea7dc969ab7a","resolution":{"observed_at":"2026-05-17T01:51:25.582792Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2604.02765","last_updated":"2026-04-03T06:19:58Z","snapshot_observed_at":"2026-07-06T22:52:06.460027Z","submitted_at":"2026-04-03T06:19:58Z","title":"Towards Realistic Class-Incremental Learning with Free-Flow Increments","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-13T19:53:25.802690Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2604.02765"},"observation_digest":"sha256:3808fb0d505d57b5b593c81df6739353e61848dcab0af128fb4e27ec0b3406ac","observation_id":"5e813287-b6e6-4944-b18f-5b22904e2616","resolution":{"observed_at":"2026-05-13T19:58:12.388911Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2605.03866","last_updated":"2026-05-05T15:27:27Z","snapshot_observed_at":"2026-07-06T23:16:44.876986Z","submitted_at":"2026-05-05T15:27:27Z","title":"Memory-Efficient Continual Learning with CLIP Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-07T16:26:40.820540Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2605.03866"},"observation_digest":"sha256:7adeae80a0170b656af4155620f6aaa63b48ef5cca95fb0e2ed14d0d2340573d","observation_id":"f27522fb-ae6f-4309-b9b6-5302d764ff78","resolution":{"observed_at":"2026-05-11T23:41:18.832953Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2605.11742","last_updated":"2026-05-12T08:20:23Z","snapshot_observed_at":"2026-08-03T00:55:27.760039Z","submitted_at":"2026-05-12T08:20:23Z","title":"Online Continual Learning with Dynamic Label Hierarchies","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T06:36:09.110519Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2605.11742"},"observation_digest":"sha256:6e90cacf692554ea6f27d2e0e6e499b9924acdcefcc28d2e0099c7792123e9e0","observation_id":"cc72b112-560e-4507-b77b-72ddc2074361","resolution":{"observed_at":"2026-05-13T06:37:26.788153Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2605.11904","last_updated":"2026-05-12T10:18:08Z","snapshot_observed_at":"2026-08-02T09:47:10.829232Z","submitted_at":"2026-05-12T10:18:08Z","title":"Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-13T06:37:19.697078Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2605.11904"},"observation_digest":"sha256:05a23d8abc67f0eaaf67a06b1134e87cb70ef0664bcf31b1ba7130395582cd18","observation_id":"ce2667a1-4e43-468b-9ad9-dd318f94405e","resolution":{"observed_at":"2026-05-13T06:37:26.503861Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","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":"2205.13218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13218","snapshot_observed_at":"2026-07-03T00:47:30.262121Z","title":"Zhou, Q.-W","venue":null,"work_id":"89acbafd-653b-4317-9ed9-aace5f8eb46c","year":2022},"citing_paper":{"arxiv_id":"2606.09960","last_updated":"2026-06-08T12:52:21Z","snapshot_observed_at":"2026-08-07T09:45:47.921575Z","submitted_at":"2026-06-08T12:52:21Z","title":"HydraCIL: Decoupled Class-Incremental Learning through Prototype-Guided Multi-Head Classifiers","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T17:03:01.884380Z"},"links":{"cited_paper":"/paper/2205.13218","citing_paper":"/paper/2606.09960"},"observation_digest":"sha256:335e74819e28abf899ec1c78b8e633ce635aec35922448abd444a9821c03cc78","observation_id":"75d48079-5d3d-475b-9342-a39ce5ae61e6","resolution":{"observed_at":"2026-07-03T00:47:30.264532Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2205.13218/citation-record","integrity":"/paper/2205.13218/integrity","json":"/paper/2205.13218/citation-record.json","paper":"/paper/2205.13218"},"outbound":[],"paper":{"arxiv_id":"2205.13218","last_updated":"2023-02-16T06:52:12Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T13:14:09.949660Z","submitted_at":"2022-05-26T08:24:01Z","title":"A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2205.13218."}