{"as_of":"2026-08-09T00:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36ef5b755cd17a182922cc7c3a9fe0714f8323638584ad7a66413d66ad3a883a","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":"2026-08-07T12:46:00.806686Z","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":"2026-08-07T05:52:19.824076Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.15938","last_updated":"2025-02-15T20:33:41Z","snapshot_observed_at":"2026-07-06T18:35:31.141952Z","submitted_at":"2024-06-22T20:57:12Z","title":"RuleR: Improving LLM Controllability by Rule-based Data Recycling","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15938","snapshot_observed_at":"2026-08-07T12:46:00.806686Z","title":"Ruler: Improving llm controllability by rule-based data recycling,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23543","last_updated":"2025-05-29T15:22:18Z","snapshot_observed_at":"2026-08-07T12:41:35.749493Z","submitted_at":"2025-05-29T15:22:18Z","title":"Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T12:46:00.806686Z"},"links":{"cited_paper":"/paper/2406.15938","citing_paper":"/paper/2505.23543"},"observation_digest":"sha256:85973181b913355a38013a05423773c650f5712d424ee3e31d64e0241f9bad0d","observation_id":"38182ac8-5946-41f6-a0b1-e2786bee9161","resolution":{"observed_at":"2026-08-07T12:46:00.806686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15938","last_updated":"2025-02-15T20:33:41Z","snapshot_observed_at":"2026-07-06T18:35:31.141952Z","submitted_at":"2024-06-22T20:57:12Z","title":"RuleR: Improving LLM Controllability by Rule-based Data Recycling","version":4},"cited_work":{"arxiv_id":"2406.15938","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.15938","snapshot_observed_at":"2026-08-07T05:52:19.824076Z","title":"RuleR: Improving LLM Controllability by Rule-based Data Recycling","venue":"cs.CL","work_id":"0614eea0-bb48-4f5c-a692-be0091853d27","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-08T13:06:53.754854Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.339511Z"},"links":{"cited_paper":"/paper/2406.15938","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:f19a31c5ec415fa89f97ec953cbe1dec63510a1aac8106117d97ae77dd2fceb3","observation_id":"0e35b196-19af-4cd3-b874-31c6dd410f49","resolution":{"observed_at":"2026-08-07T05:52:19.832605Z","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/2406.15938/citation-record","integrity":"/paper/2406.15938/integrity","json":"/paper/2406.15938/citation-record.json","paper":"/paper/2406.15938"},"outbound":[],"paper":{"arxiv_id":"2406.15938","last_updated":"2025-02-15T20:33:41Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:35:31.141952Z","submitted_at":"2024-06-22T20:57:12Z","title":"RuleR: Improving LLM Controllability by Rule-based Data Recycling"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15938."}