{"as_of":"2026-08-08T19:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8450e62b78be36f49347fe905188e3e774e46705e1d6fce2aac79e7b346e8c15","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T14:27:25.213417Z","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":"2026-08-06T20:35:07.973592Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.19611","last_updated":"2024-09-29T08:34:54Z","snapshot_observed_at":"2026-07-06T19:24:03.133851Z","submitted_at":"2024-09-29T08:34:54Z","title":"Learning Attentional Mixture of LoRAs for Language Model Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19611","snapshot_observed_at":"2026-08-07T14:27:25.213417Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18867","last_updated":"2025-05-24T21:01:35Z","snapshot_observed_at":"2026-08-08T00:50:24.909244Z","submitted_at":"2025-05-24T21:01:35Z","title":"Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T14:27:25.213417Z"},"links":{"cited_paper":"/paper/2409.19611","citing_paper":"/paper/2505.18867"},"observation_digest":"sha256:605ae766d696a691e130e7c002053aec0954099c8ffc980a2036e59f5214e460","observation_id":"94ce04dd-1b0c-45ff-a1c0-bd234b67c3ae","resolution":{"observed_at":"2026-08-07T14:27:25.213417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19611","last_updated":"2024-09-29T08:34:54Z","snapshot_observed_at":"2026-07-06T19:24:03.133851Z","submitted_at":"2024-09-29T08:34:54Z","title":"Learning Attentional Mixture of LoRAs for Language Model Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19611","snapshot_observed_at":"2026-08-07T12:13:43.137652Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-08T12:29:06.915460Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.137652Z"},"links":{"cited_paper":"/paper/2409.19611","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:c85cb396dde2f57e0681c46841af41029b8687dab61f70acb6a83eb25de87987","observation_id":"0d3ca982-d6ef-4874-9269-ad3aebe56ed6","resolution":{"observed_at":"2026-08-07T12:13:43.137652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19611","last_updated":"2024-09-29T08:34:54Z","snapshot_observed_at":"2026-07-06T19:24:03.133851Z","submitted_at":"2024-09-29T08:34:54Z","title":"Learning Attentional Mixture of LoRAs for Language Model Continual Learning","version":1},"cited_work":{"arxiv_id":"2409.19611","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.19611","snapshot_observed_at":"2026-08-06T20:35:07.973592Z","title":"Learning Attentional Mixture of LoRAs for Language Model Continual Learning","venue":"cs.CL","work_id":"a8d1cd3e-1e73-4202-b704-3e9b3a8d0562","year":2024},"citing_paper":{"arxiv_id":"2507.02503","last_updated":"2025-07-03T10:11:22Z","snapshot_observed_at":"2026-08-06T20:25:19.241969Z","submitted_at":"2025-07-03T10:11:22Z","title":"Continual Gradient Low-Rank Projection Fine-Tuning for LLMs","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T20:35:03.384574Z"},"links":{"cited_paper":"/paper/2409.19611","citing_paper":"/paper/2507.02503"},"observation_digest":"sha256:3027c85b74bb44e234dec67014e4be79dfb073fbd243a97d2829f25f1d335a42","observation_id":"76601335-24d8-414c-84da-1701a7df80bb","resolution":{"observed_at":"2026-08-06T20:35:08.021279Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.19611/citation-record","integrity":"/paper/2409.19611/integrity","json":"/paper/2409.19611/citation-record.json","paper":"/paper/2409.19611"},"outbound":[],"paper":{"arxiv_id":"2409.19611","last_updated":"2024-09-29T08:34:54Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:24:03.133851Z","submitted_at":"2024-09-29T08:34:54Z","title":"Learning Attentional Mixture of LoRAs for Language Model 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.19611."}