{"as_of":"2026-08-08T13:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba12ac9e25e6e46cc91c86f5264ab8307e23d54a2d2c905e3efcc00cf5086344","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T12:09:03.131933Z","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":"2026-08-07T10:56:42.783036Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1105.0121","last_updated":"2011-04-30T21:29:08Z","snapshot_observed_at":"2026-08-01T23:49:15.218586Z","submitted_at":"2011-04-30T21:29:08Z","title":"Methods of Hierarchical Clustering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1105.0121","snapshot_observed_at":"2026-08-07T12:09:03.131933Z","title":"Methods of hierarchical clustering.arXiv preprint arXiv:1105.0121, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.00539","last_updated":"2025-06-04T13:39:54Z","snapshot_observed_at":"2026-08-08T09:04:37.435563Z","submitted_at":"2025-05-31T12:54:49Z","title":"ARIA: Training Language Agents with Intention-Driven Reward Aggregation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:09:03.131933Z"},"links":{"cited_paper":"/paper/1105.0121","citing_paper":"/paper/2506.00539"},"observation_digest":"sha256:84aaadf8c5ce5815e25754f71c44f3dec146108f7c2a06f1d275f295095cf071","observation_id":"d1674156-629d-4af9-9f73-e7dcc6888ff6","resolution":{"observed_at":"2026-08-07T12:09:03.131933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1105.0121","last_updated":"2011-04-30T21:29:08Z","snapshot_observed_at":"2026-08-01T23:49:15.218586Z","submitted_at":"2011-04-30T21:29:08Z","title":"Methods of Hierarchical Clustering","version":1},"cited_work":{"arxiv_id":"1105.0121","doi":null,"metadata_source":"pith","pith_arxiv_id":"1105.0121","snapshot_observed_at":"2026-08-07T10:56:42.783036Z","title":"Methods of Hierarchical Clustering","venue":"cs.IR","work_id":"f83877eb-bfde-4824-8bad-ca78a26d7d78","year":2011},"citing_paper":{"arxiv_id":"2506.03946","last_updated":"2025-07-06T06:21:15Z","snapshot_observed_at":"2026-08-07T10:48:23.750577Z","submitted_at":"2025-06-04T13:33:53Z","title":"Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:56:42.747332Z"},"links":{"cited_paper":"/paper/1105.0121","citing_paper":"/paper/2506.03946"},"observation_digest":"sha256:2c4df04a1579b76139a881009ac1515e28b0b066b858cfb2c0e7ff323200ea3e","observation_id":"cbf87c4c-5c85-4483-ad0a-49b945a91705","resolution":{"observed_at":"2026-08-07T10:56:42.788484Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1105.0121/citation-record","integrity":"/paper/1105.0121/integrity","json":"/paper/1105.0121/citation-record.json","paper":"/paper/1105.0121"},"outbound":[],"paper":{"arxiv_id":"1105.0121","last_updated":"2011-04-30T21:29:08Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-01T23:49:15.218586Z","submitted_at":"2011-04-30T21:29:08Z","title":"Methods of Hierarchical Clustering"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1105.0121."}