{"as_of":"2026-08-18T22:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:807054621783e3a830929ead2bd4207dfbb9afc34f58c74184913e5203cd6ad4","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":"2026-08-18T06:34:40.430872+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":"2026-08-16T11:48:38.904074Z","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":"2026-07-02T03:56:34.458174Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.02912","last_updated":"2024-10-17T03:35:21Z","snapshot_observed_at":"2026-08-16T13:28:18.725435Z","submitted_at":"2024-08-06T02:53:55Z","title":"KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02912","snapshot_observed_at":"2026-08-16T11:48:38.904074Z","title":"Koi: Accelerating online imi- tation learning via hybrid key-state guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14588","last_updated":"2025-04-20T12:30:43Z","snapshot_observed_at":"2026-08-18T19:00:11.695493Z","submitted_at":"2025-04-20T12:30:43Z","title":"Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:48:38.904074Z"},"links":{"cited_paper":"/paper/2408.02912","citing_paper":"/paper/2504.14588"},"observation_digest":"sha256:786d6a359ad17df648948fad22222fe2aaaca2eaa1b011f758e3c622fc1a9745","observation_id":"8e866380-4975-4d05-afd8-1d78168f4d5f","resolution":{"observed_at":"2026-08-16T11:48:38.904074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02912","last_updated":"2024-10-17T03:35:21Z","snapshot_observed_at":"2026-08-16T13:28:18.725435Z","submitted_at":"2024-08-06T02:53:55Z","title":"KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance","version":3},"cited_work":{"arxiv_id":"2408.02912","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.02912","snapshot_observed_at":"2026-07-02T03:56:34.458174Z","title":"arXiv preprint arXiv:2408.02912 , year=","venue":null,"work_id":"1fcf19ac-3fd7-4d8b-a7d8-6f082767f46b","year":null},"citing_paper":{"arxiv_id":"2606.03385","last_updated":"2026-06-02T09:29:03Z","snapshot_observed_at":"2026-08-14T02:59:37.231666Z","submitted_at":"2026-06-02T09:29:03Z","title":"Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-06-28T09:37:58.434897Z"},"links":{"cited_paper":"/paper/2408.02912","citing_paper":"/paper/2606.03385"},"observation_digest":"sha256:6a9205f9f742872e8b5a27288a38263a0dbb443ad5217ac215aad7fcc90ec065","observation_id":"8e52206b-61a0-42d1-b078-d1d8e84b674e","resolution":{"observed_at":"2026-07-02T03:56:34.459672Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.02912/citation-record","integrity":"/paper/2408.02912/integrity","json":"/paper/2408.02912/citation-record.json","paper":"/paper/2408.02912"},"outbound":[],"paper":{"arxiv_id":"2408.02912","last_updated":"2024-10-17T03:35:21Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T13:28:18.725435Z","submitted_at":"2024-08-06T02:53:55Z","title":"KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.02912."}