{"as_of":"2026-08-10T13:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:707d177041f7f169c8b40ab29488a78ffe47135fff474fc0708a2125635b7e16","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":"2026-08-10T06:31:04.303077+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":"2026-08-05T18:37:08.614457Z","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":"2026-05-14T22:23:15.168789Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.05370","last_updated":"2025-04-07T17:49:12Z","snapshot_observed_at":"2026-08-07T16:07:50.810178Z","submitted_at":"2025-04-07T17:49:12Z","title":"EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design","version":1},"cited_work":{"arxiv_id":"2504.05370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.05370","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2504.05370 , year =","venue":null,"work_id":"cc6d6157-0712-4725-8d01-d3d1c96fb73f","year":null},"citing_paper":{"arxiv_id":"2507.21046","last_updated":"2026-01-16T20:59:08Z","snapshot_observed_at":"2026-08-01T06:32:44.461162Z","submitted_at":"2025-07-28T17:59:05Z","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","version":4},"reference_index":222,"source":"arxiv_source","source_observed_at":"2026-05-14T22:23:14.621091Z"},"links":{"cited_paper":"/paper/2504.05370","citing_paper":"/paper/2507.21046"},"observation_digest":"sha256:e917c51a60bba3e745bb587624efe1f27562d6c86ccd03dc738607efaa970a75","observation_id":"cb0f1411-3e3c-4505-9d8c-70bc08ceac6b","resolution":{"observed_at":"2026-05-14T22:23:15.171781Z","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":"2504.05370","last_updated":"2025-04-07T17:49:12Z","snapshot_observed_at":"2026-08-07T16:07:50.810178Z","submitted_at":"2025-04-07T17:49:12Z","title":"EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.05370","snapshot_observed_at":"2026-08-05T18:37:08.614457Z","title":"Eduplanner: Llm-based multi-agent systems for customized and intelligent instructional design","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.14377","last_updated":"2025-08-23T05:27:00Z","snapshot_observed_at":"2026-08-05T18:37:02.321718Z","submitted_at":"2025-08-20T03:08:47Z","title":"ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T18:37:08.614457Z"},"links":{"cited_paper":"/paper/2504.05370","citing_paper":"/paper/2508.14377"},"observation_digest":"sha256:571e1c9893fbbc199c09d8910dfb311cc12df298ed7ab5887631446f3e0aa935","observation_id":"60c11968-1110-49a0-a76f-dd9c5d6f1d6b","resolution":{"observed_at":"2026-08-05T18:37:08.614457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.05370/citation-record","integrity":"/paper/2504.05370/integrity","json":"/paper/2504.05370/citation-record.json","paper":"/paper/2504.05370"},"outbound":[],"paper":{"arxiv_id":"2504.05370","last_updated":"2025-04-07T17:49:12Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T16:07:50.810178Z","submitted_at":"2025-04-07T17:49:12Z","title":"EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design"},"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 2 inbound Pith citation observations for arXiv:2504.05370."}