{"as_of":"2026-08-06T22:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9000422a498e2d9446a38782aef2cee74eaae2e3bd39434e396057ef9a745d55","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":"2026-08-06T06:34:29.942622+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":"2026-08-06T17:47:23.663921Z","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":"2026-05-14T20:42:58.014565Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.07645","last_updated":"2023-06-29T16:38:42Z","snapshot_observed_at":"2026-07-06T15:16:06.215998Z","submitted_at":"2023-04-15T22:18:29Z","title":"Magnitude Invariant Parametrizations Improve Hypernetwork Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07645","snapshot_observed_at":"2026-08-06T17:47:23.663921Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.10015","last_updated":"2025-07-17T11:10:58Z","snapshot_observed_at":"2026-08-06T17:39:38.374542Z","submitted_at":"2025-07-14T07:51:01Z","title":"(Almost) Free Modality Stitching of Foundation Models","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T17:47:23.663921Z"},"links":{"cited_paper":"/paper/2304.07645","citing_paper":"/paper/2507.10015"},"observation_digest":"sha256:1d0c4d381caebab35aa1fc780d58a2f9fd5cfae28cd2041fd51f3b28403b54c3","observation_id":"2a875a9d-cd96-47e9-a865-acfe7f91914d","resolution":{"observed_at":"2026-08-06T17:47:23.663921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07645","last_updated":"2023-06-29T16:38:42Z","snapshot_observed_at":"2026-07-06T15:16:06.215998Z","submitted_at":"2023-04-15T22:18:29Z","title":"Magnitude Invariant Parametrizations Improve Hypernetwork Learning","version":2},"cited_work":{"arxiv_id":"2304.07645","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.07645","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2304.07645 , year=","venue":null,"work_id":"f902b49f-a0f5-45e5-a3ed-d3252d42ff40","year":null},"citing_paper":{"arxiv_id":"2605.12388","last_updated":"2026-05-13T11:22:03Z","snapshot_observed_at":"2026-07-06T23:24:03.984179Z","submitted_at":"2026-05-12T16:51:23Z","title":"Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-13T03:51:53.988226Z"},"links":{"cited_paper":"/paper/2304.07645","citing_paper":"/paper/2605.12388"},"observation_digest":"sha256:d092380ec43131940d9f990fbe7ffce00ae8940b867e0cda3a53047686ae32b5","observation_id":"1a8cdf10-a36e-4364-a665-356c732fd5c2","resolution":{"observed_at":"2026-05-13T03:52:12.474095Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07645","last_updated":"2023-06-29T16:38:42Z","snapshot_observed_at":"2026-07-06T15:16:06.215998Z","submitted_at":"2023-04-15T22:18:29Z","title":"Magnitude Invariant Parametrizations Improve Hypernetwork Learning","version":2},"cited_work":{"arxiv_id":"2304.07645","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.07645","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2304.07645 , year=","venue":null,"work_id":"f902b49f-a0f5-45e5-a3ed-d3252d42ff40","year":null},"citing_paper":{"arxiv_id":"2605.12388","last_updated":"2026-05-13T11:22:03Z","snapshot_observed_at":"2026-07-06T23:24:03.984179Z","submitted_at":"2026-05-12T16:51:23Z","title":"Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-14T20:40:32.584469Z"},"links":{"cited_paper":"/paper/2304.07645","citing_paper":"/paper/2605.12388"},"observation_digest":"sha256:5858472536f6cdffb87e6404c2b33da9388e1efc4b1de12f590cdf1e7b471af3","observation_id":"7238a77a-b2e6-4bd3-9e66-c5ca2ca878e8","resolution":{"observed_at":"2026-05-14T20:42:58.018608Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.07645/citation-record","integrity":"/paper/2304.07645/integrity","json":"/paper/2304.07645/citation-record.json","paper":"/paper/2304.07645"},"outbound":[],"paper":{"arxiv_id":"2304.07645","last_updated":"2023-06-29T16:38:42Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T15:16:06.215998Z","submitted_at":"2023-04-15T22:18:29Z","title":"Magnitude Invariant Parametrizations Improve Hypernetwork 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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.07645."}