{"as_of":"2026-08-19T18:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c070b8336f3da436c6a65b85b87a62e81193e390ac68d5f4e3a4d4695c75b64","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":"2026-08-19T06:32:44.657259+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":"2026-08-12T16:20:32.559404Z","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":"2026-05-13T17:30:03.026591Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.16818","last_updated":"2024-04-15T17:58:01Z","snapshot_observed_at":"2026-08-19T15:04:35.509005Z","submitted_at":"2024-01-30T08:45:08Z","title":"H2O-Danube-1.8B Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16818","snapshot_observed_at":"2026-08-12T16:20:32.559404Z","title":"H2o-danube-1.8 b technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13676","last_updated":"2024-11-20T19:51:25Z","snapshot_observed_at":"2026-08-14T20:26:44.533985Z","submitted_at":"2024-11-20T19:51:25Z","title":"Hymba: A Hybrid-head Architecture for Small Language Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T16:20:32.559404Z"},"links":{"cited_paper":"/paper/2401.16818","citing_paper":"/paper/2411.13676"},"observation_digest":"sha256:fd4cd7f97cec123d9687624508cf58bc353ef5f4b12b742dbe72e4f9a2e3acdc","observation_id":"033b67d2-727e-4f18-a939-b2ea0cd480fd","resolution":{"observed_at":"2026-08-12T16:20:32.559404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16818","last_updated":"2024-04-15T17:58:01Z","snapshot_observed_at":"2026-08-19T15:04:35.509005Z","submitted_at":"2024-01-30T08:45:08Z","title":"H2O-Danube-1.8B Technical Report","version":2},"cited_work":{"arxiv_id":"2401.16818","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.16818","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c91d4c5f-1cc6-4138-a31f-9dfcdc862c65","year":2024},"citing_paper":{"arxiv_id":"2502.02737","last_updated":"2025-02-04T21:43:16Z","snapshot_observed_at":"2026-08-14T05:03:05.661970Z","submitted_at":"2025-02-04T21:43:16Z","title":"SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model","version":1},"reference_index":223,"source":"arxiv_source","source_observed_at":"2026-05-13T17:30:02.803757Z"},"links":{"cited_paper":"/paper/2401.16818","citing_paper":"/paper/2502.02737"},"observation_digest":"sha256:e1841d1d95f1cbee2f3ac4d46e2cb5de844da9c5b9553ac13fde2a7450107ce7","observation_id":"be07ac1f-ca76-4fb9-9981-ed5f56555fc4","resolution":{"observed_at":"2026-05-13T17:30:03.028155Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16818","last_updated":"2024-04-15T17:58:01Z","snapshot_observed_at":"2026-08-19T15:04:35.509005Z","submitted_at":"2024-01-30T08:45:08Z","title":"H2O-Danube-1.8B Technical Report","version":2},"cited_work":{"arxiv_id":"2401.16818","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.16818","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c91d4c5f-1cc6-4138-a31f-9dfcdc862c65","year":2024},"citing_paper":{"arxiv_id":"2605.07783","last_updated":"2026-05-08T14:21:05Z","snapshot_observed_at":"2026-08-11T16:36:19.764606Z","submitted_at":"2026-05-08T14:21:05Z","title":"Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-05-11T03:31:33.964471Z"},"links":{"cited_paper":"/paper/2401.16818","citing_paper":"/paper/2605.07783"},"observation_digest":"sha256:d4f28c77c2ce68901e91d55c375d27706cdaf68c9288f2295d23937c296aa5a2","observation_id":"e55e2b03-c4ad-4e55-ab6d-d5f5686ccf81","resolution":{"observed_at":"2026-05-11T03:40:54.109528Z","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/2401.16818/citation-record","integrity":"/paper/2401.16818/integrity","json":"/paper/2401.16818/citation-record.json","paper":"/paper/2401.16818"},"outbound":[],"paper":{"arxiv_id":"2401.16818","last_updated":"2024-04-15T17:58:01Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T15:04:35.509005Z","submitted_at":"2024-01-30T08:45:08Z","title":"H2O-Danube-1.8B Technical Report"},"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 3 inbound Pith citation observations for arXiv:2401.16818."}