{"as_of":"2026-08-16T00:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:80cb244e1431c46091445858ffacde46febd1760f04cc7dfc824d00f16a7ccd0","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":"2026-08-15T06:32:42.880941+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":"2026-08-11T17:27:07.614365Z","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":"2026-08-06T23:41:44.920006Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.17503","last_updated":"2025-03-15T17:21:38Z","snapshot_observed_at":"2026-08-13T18:38:36.103690Z","submitted_at":"2024-06-25T12:43:33Z","title":"WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17503","snapshot_observed_at":"2026-08-11T17:27:07.614365Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.09073","last_updated":"2024-12-12T08:58:42Z","snapshot_observed_at":"2026-08-16T00:03:51.065303Z","submitted_at":"2024-12-12T08:58:42Z","title":"SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T17:27:07.614365Z"},"links":{"cited_paper":"/paper/2406.17503","citing_paper":"/paper/2412.09073"},"observation_digest":"sha256:20f5a184716ccc7c7daf48c228a118d9c1759625c0e93be1056176776b86eda5","observation_id":"58b3016f-81f4-4910-b8e2-2936558862a5","resolution":{"observed_at":"2026-08-11T17:27:07.614365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17503","last_updated":"2025-03-15T17:21:38Z","snapshot_observed_at":"2026-08-13T18:38:36.103690Z","submitted_at":"2024-06-25T12:43:33Z","title":"WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models","version":3},"cited_work":{"arxiv_id":"2406.17503","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.17503","snapshot_observed_at":"2026-08-06T23:41:44.920006Z","title":"WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models","venue":"cs.LG","work_id":"57c3eb61-38ab-4771-8423-02618b6c8272","year":2024},"citing_paper":{"arxiv_id":"2506.16673","last_updated":"2025-06-20T01:17:41Z","snapshot_observed_at":"2026-08-09T16:59:07.884090Z","submitted_at":"2025-06-20T01:17:41Z","title":"Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:40.522210Z"},"links":{"cited_paper":"/paper/2406.17503","citing_paper":"/paper/2506.16673"},"observation_digest":"sha256:f00fa177b1ea3838819505f666cbe630fa40d8edc2b6961a0524533c5623fa27","observation_id":"1645c199-146a-4897-910e-bac736c52528","resolution":{"observed_at":"2026-08-06T23:41:45.019297Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.17503/citation-record","integrity":"/paper/2406.17503/integrity","json":"/paper/2406.17503/citation-record.json","paper":"/paper/2406.17503"},"outbound":[],"paper":{"arxiv_id":"2406.17503","last_updated":"2025-03-15T17:21:38Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T18:38:36.103690Z","submitted_at":"2024-06-25T12:43:33Z","title":"WAVE: Weight Templates for Adaptive Initialization of Variable-sized 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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.17503."}