{"as_of":"2026-08-10T19:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:216b0aa94e597684a2cbe0b8c3cedc580021f7f77bc8fbeccb5bdecb55babfca","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T18:10:53.059744Z","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":"2026-05-17T18:00:50.300173Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.00660","last_updated":"2025-02-17T05:12:27Z","snapshot_observed_at":"2026-07-06T15:21:46.324091Z","submitted_at":"2023-05-01T05:16:07Z","title":"An Iterative Algorithm for Rescaled Hyperbolic Functions Regression","version":2},"cited_work":{"arxiv_id":"2305.00660","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.00660","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An iterative algorithm for rescaled hyperbolic functions regression","venue":null,"work_id":"a28f3572-acdc-4069-9ed9-638fecd5cd83","year":2023},"citing_paper":{"arxiv_id":"2306.14048","last_updated":"2023-12-18T19:10:00Z","snapshot_observed_at":"2026-08-06T19:19:02.165567Z","submitted_at":"2023-06-24T20:11:14Z","title":"H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models","version":3},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-05-17T18:00:50.053377Z"},"links":{"cited_paper":"/paper/2305.00660","citing_paper":"/paper/2306.14048"},"observation_digest":"sha256:9ef85b12fe11bbc77caefe575f8b9886d3a3edfa4a2cabbdeca23184428baf25","observation_id":"e770ec8b-0ede-4edf-948a-49cd241aaff6","resolution":{"observed_at":"2026-05-17T18:00:50.302434Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00660","last_updated":"2025-02-17T05:12:27Z","snapshot_observed_at":"2026-07-06T15:21:46.324091Z","submitted_at":"2023-05-01T05:16:07Z","title":"An Iterative Algorithm for Rescaled Hyperbolic Functions Regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00660","snapshot_observed_at":"2026-08-09T18:10:53.059744Z","title":"An iterative algorithm for rescaled hyperbolic functions regression","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00688","last_updated":"2025-02-02T06:19:59Z","snapshot_observed_at":"2026-08-09T18:02:58.492461Z","submitted_at":"2025-02-02T06:19:59Z","title":"High-Order Matching for One-Step Shortcut Diffusion Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T18:10:53.059744Z"},"links":{"cited_paper":"/paper/2305.00660","citing_paper":"/paper/2502.00688"},"observation_digest":"sha256:71c6b9dd9693a0e71b174e85d1f68dfe121ad8860dea5d604f7f2a91ca27b5bf","observation_id":"6c2d43a2-fb5e-4afe-8332-8b0d5823dd2c","resolution":{"observed_at":"2026-08-09T18:10:53.059744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00660","last_updated":"2025-02-17T05:12:27Z","snapshot_observed_at":"2026-07-06T15:21:46.324091Z","submitted_at":"2023-05-01T05:16:07Z","title":"An Iterative Algorithm for Rescaled Hyperbolic Functions Regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00660","snapshot_observed_at":"2026-08-08T16:39:14.163177Z","title":"An iterative algorithm for rescaled hyperbolic functions regression","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06167","last_updated":"2025-02-10T05:36:30Z","snapshot_observed_at":"2026-08-09T01:42:08.911908Z","submitted_at":"2025-02-10T05:36:30Z","title":"Universal Approximation of Visual Autoregressive Transformers","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T16:39:14.163177Z"},"links":{"cited_paper":"/paper/2305.00660","citing_paper":"/paper/2502.06167"},"observation_digest":"sha256:f098141dc541a8d24a82800f83ef093ce980a7170bcf334741bfa655ee22eef9","observation_id":"0b3a8da4-4b8c-4c64-8347-a1d7e46f6b47","resolution":{"observed_at":"2026-08-08T16:39:14.163177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.00660/citation-record","integrity":"/paper/2305.00660/integrity","json":"/paper/2305.00660/citation-record.json","paper":"/paper/2305.00660"},"outbound":[],"paper":{"arxiv_id":"2305.00660","last_updated":"2025-02-17T05:12:27Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T15:21:46.324091Z","submitted_at":"2023-05-01T05:16:07Z","title":"An Iterative Algorithm for Rescaled Hyperbolic Functions Regression"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.00660."}