{"as_of":"2026-08-14T07:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c2bc56bcba931705b82d82a3eaabaa05864ff04b61c8dec8d021dd74306546ed","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:57:31.010226Z","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":"2026-07-03T16:48:39.984347Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09053","last_updated":"2024-10-30T01:38:27Z","snapshot_observed_at":"2026-08-13T04:55:38.088911Z","submitted_at":"2024-08-16T23:57:29Z","title":"Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09053","snapshot_observed_at":"2026-08-11T05:57:31.010226Z","title":"Learning to route for dynamic adapter composition in continual learning with language models.arXiv preprint arXiv:2408.09053, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17009","last_updated":"2025-08-28T17:13:51Z","snapshot_observed_at":"2026-08-12T21:43:25.120772Z","submitted_at":"2024-12-22T13:16:28Z","title":"Expert Routing with Synthetic Data for Continual Learning","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T05:57:31.010226Z"},"links":{"cited_paper":"/paper/2408.09053","citing_paper":"/paper/2412.17009"},"observation_digest":"sha256:3ae93676bb250ac03e68c130deabbdb4a1628c048eed79143d8b41bf4e473734","observation_id":"d7ec4dc5-293a-4277-95b4-c03120246ab2","resolution":{"observed_at":"2026-08-11T05:57:31.010226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09053","last_updated":"2024-10-30T01:38:27Z","snapshot_observed_at":"2026-08-13T04:55:38.088911Z","submitted_at":"2024-08-16T23:57:29Z","title":"Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models","version":2},"cited_work":{"arxiv_id":"2408.09053","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09053","snapshot_observed_at":"2026-07-03T16:48:39.984347Z","title":null,"venue":null,"work_id":"557cabc7-588c-4d21-91b9-1239aa31ac2e","year":2024},"citing_paper":{"arxiv_id":"2606.24901","last_updated":"2026-06-12T13:44:48Z","snapshot_observed_at":"2026-08-03T03:21:51.293576Z","submitted_at":"2026-06-12T13:44:48Z","title":"LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T05:02:18.347642Z"},"links":{"cited_paper":"/paper/2408.09053","citing_paper":"/paper/2606.24901"},"observation_digest":"sha256:739c332b2b962e3ca0cff75c43664226c0217d3abd7b6429c8a439b332183bcb","observation_id":"5dc97c1f-0b16-45e6-b4ee-89440ebebd25","resolution":{"observed_at":"2026-07-03T16:48:39.986076Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09053","last_updated":"2024-10-30T01:38:27Z","snapshot_observed_at":"2026-08-13T04:55:38.088911Z","submitted_at":"2024-08-16T23:57:29Z","title":"Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09053","snapshot_observed_at":"2026-08-02T00:14:56.713322Z","title":"Learning to route for dynamic adapter composition in continual learning with language models.arXiv preprint arXiv:2408.09053, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15094","last_updated":"2026-07-16T15:07:23Z","snapshot_observed_at":"2026-08-13T06:21:38.680799Z","submitted_at":"2026-07-16T15:07:23Z","title":"AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T00:14:56.713322Z"},"links":{"cited_paper":"/paper/2408.09053","citing_paper":"/paper/2607.15094"},"observation_digest":"sha256:fab675e17351244518bcf7b0d6f65d3378b860a5734441f76fdd6f203e0febd3","observation_id":"bc7e6967-2bae-4d84-8e35-23cfe296e2d4","resolution":{"observed_at":"2026-08-02T00:14:56.713322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.09053/citation-record","integrity":"/paper/2408.09053/integrity","json":"/paper/2408.09053/citation-record.json","paper":"/paper/2408.09053"},"outbound":[],"paper":{"arxiv_id":"2408.09053","last_updated":"2024-10-30T01:38:27Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T04:55:38.088911Z","submitted_at":"2024-08-16T23:57:29Z","title":"Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.09053."}