{"as_of":"2026-08-14T23:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e5140b5c2ecff4d73ee629328ebc30355a4b9bb6593978446d0584cc0d156e97","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T15:54:43.884602Z","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":"2026-08-06T23:25:10.391417Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.00209","last_updated":"2025-08-29T05:39:13Z","snapshot_observed_at":"2026-08-13T00:52:45.844029Z","submitted_at":"2024-05-31T21:46:23Z","title":"Mamba State-Space Models Are Lyapunov-Stable Learners","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00209","snapshot_observed_at":"2026-08-12T15:54:43.884602Z","title":"Mamba state-space models can be strong downstream learn- ers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15224","last_updated":"2025-03-24T04:59:31Z","snapshot_observed_at":"2026-08-14T20:00:07.928568Z","submitted_at":"2024-11-21T04:58:20Z","title":"Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:54:43.884602Z"},"links":{"cited_paper":"/paper/2406.00209","citing_paper":"/paper/2411.15224"},"observation_digest":"sha256:7030802eef2edc6f34172421a74315df1d9dc0750758f1c54af32501e9bc1c20","observation_id":"fbbbe10b-3898-48eb-a20d-178ae4c6797e","resolution":{"observed_at":"2026-08-12T15:54:43.884602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00209","last_updated":"2025-08-29T05:39:13Z","snapshot_observed_at":"2026-08-13T00:52:45.844029Z","submitted_at":"2024-05-31T21:46:23Z","title":"Mamba State-Space Models Are Lyapunov-Stable Learners","version":3},"cited_work":{"arxiv_id":"2406.00209","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.00209","snapshot_observed_at":"2026-08-06T23:25:10.391417Z","title":"Mamba State-Space Models Are Lyapunov-Stable Learners","venue":"cs.LG","work_id":"2f2e6098-49b2-4265-9071-38f967c3cd4e","year":2024},"citing_paper":{"arxiv_id":"2608.04488","last_updated":"2026-08-05T06:20:57Z","snapshot_observed_at":"2026-08-12T18:46:42.209552Z","submitted_at":"2026-08-05T06:20:57Z","title":"Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:25:10.361903Z"},"links":{"cited_paper":"/paper/2406.00209","citing_paper":"/paper/2608.04488"},"observation_digest":"sha256:2c40f14a8bde3e4e69222db7042672f914d4c8f3f0e3190ca18159a5d99d2e85","observation_id":"d4ed56a8-ea86-4ed8-ab12-4a921f77b6b4","resolution":{"observed_at":"2026-08-06T23:25:10.397889Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2406.00209/citation-record","integrity":"/paper/2406.00209/integrity","json":"/paper/2406.00209/citation-record.json","paper":"/paper/2406.00209"},"outbound":[],"paper":{"arxiv_id":"2406.00209","last_updated":"2025-08-29T05:39:13Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T00:52:45.844029Z","submitted_at":"2024-05-31T21:46:23Z","title":"Mamba State-Space Models Are Lyapunov-Stable Learners"},"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 2 inbound Pith citation observations for arXiv:2406.00209."}