{"as_of":"2026-08-19T06:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:00b5636a7a15c99b91ab1d60ae9b307441f2cbd60d468ec35b9b5e2d21710984","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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":"2026-08-15T18:59:24.736489Z","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":"2026-05-22T07:01:11.778734Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.21657","last_updated":"2025-03-27T16:21:53Z","snapshot_observed_at":"2026-08-16T12:46:14.447950Z","submitted_at":"2025-03-27T16:21:53Z","title":"Model Assembly Learning with Heterogeneous Layer Weight Merging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21657","snapshot_observed_at":"2026-08-15T18:59:24.736489Z","title":"Model assembly learning with heterogeneous layer weight merging.arXiv preprint arXiv:2503.21657, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18135","last_updated":"2025-06-22T18:38:41Z","snapshot_observed_at":"2026-08-19T00:13:05.300821Z","submitted_at":"2025-06-22T18:38:41Z","title":"SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T18:59:24.736489Z"},"links":{"cited_paper":"/paper/2503.21657","citing_paper":"/paper/2506.18135"},"observation_digest":"sha256:c3b2b741a75ef48a38294ed2eb256531bd4fe7bc6bf0ba501c176589b47a39eb","observation_id":"6daa6cd5-4674-47f2-8cb4-13a2ec432f37","resolution":{"observed_at":"2026-08-15T18:59:24.736489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21657","last_updated":"2025-03-27T16:21:53Z","snapshot_observed_at":"2026-08-16T12:46:14.447950Z","submitted_at":"2025-03-27T16:21:53Z","title":"Model Assembly Learning with Heterogeneous Layer Weight Merging","version":1},"cited_work":{"arxiv_id":"2503.21657","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21657","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2503.21657 , year =","venue":null,"work_id":"7b5621bd-281d-478a-a84f-11ec64f91648","year":null},"citing_paper":{"arxiv_id":"2605.22350","last_updated":"2026-07-21T09:25:57Z","snapshot_observed_at":"2026-08-02T13:30:35.551341Z","submitted_at":"2026-05-21T11:36:16Z","title":"Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-22T06:59:09.799156Z"},"links":{"cited_paper":"/paper/2503.21657","citing_paper":"/paper/2605.22350"},"observation_digest":"sha256:5b6bcb081738678d02c5136dbc6ca6d0b657da320add71a7bdb8f2c3fcf7f44f","observation_id":"8e7a8c90-b7c2-4a83-a985-37eb2a1f9595","resolution":{"observed_at":"2026-05-22T07:01:11.781546Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.21657/citation-record","integrity":"/paper/2503.21657/integrity","json":"/paper/2503.21657/citation-record.json","paper":"/paper/2503.21657"},"outbound":[],"paper":{"arxiv_id":"2503.21657","last_updated":"2025-03-27T16:21:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T12:46:14.447950Z","submitted_at":"2025-03-27T16:21:53Z","title":"Model Assembly Learning with Heterogeneous Layer Weight Merging"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.21657."}