{"as_of":"2026-08-10T03:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:864569a9e31270e4885a4b4fe193abaa33c2905b221361e621764d7e81f95475","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:10:17.391474Z","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":"2026-08-07T11:10:19.977596Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.06322","last_updated":"2024-07-29T22:17:31Z","snapshot_observed_at":"2026-07-06T18:43:18.493061Z","submitted_at":"2024-07-08T18:38:52Z","title":"MagMax: Leveraging Model Merging for Seamless Continual Learning","version":2},"cited_work":{"arxiv_id":"2407.06322","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.06322","snapshot_observed_at":"2026-08-07T11:10:19.977596Z","title":"MagMax: Leveraging Model Merging for Seamless Continual Learning","venue":"cs.LG","work_id":"64e2b906-f011-40b6-8f8a-20a80de4ba90","year":2024},"citing_paper":{"arxiv_id":"2506.03320","last_updated":"2025-06-03T19:06:41Z","snapshot_observed_at":"2026-08-08T23:26:40.245215Z","submitted_at":"2025-06-03T19:06:41Z","title":"The Future of Continual Learning in the Era of Foundation Models: Three Key Directions","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-07T11:10:17.391474Z"},"links":{"cited_paper":"/paper/2407.06322","citing_paper":"/paper/2506.03320"},"observation_digest":"sha256:f0a88874e7bb665c27ba39d2b1962957dd97fcee6371207bd73c7390cf8a320f","observation_id":"a99cae4a-2030-4525-9f3f-c9561c7d59ff","resolution":{"observed_at":"2026-08-07T11:10:19.987165Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.06322/citation-record","integrity":"/paper/2407.06322/integrity","json":"/paper/2407.06322/citation-record.json","paper":"/paper/2407.06322"},"outbound":[],"paper":{"arxiv_id":"2407.06322","last_updated":"2024-07-29T22:17:31Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:43:18.493061Z","submitted_at":"2024-07-08T18:38:52Z","title":"MagMax: Leveraging Model Merging for Seamless Continual 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.06322."}