{"as_of":"2026-08-09T16:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2832147da05be6674a3bd93aa1950228ad1839ac3c0d695b63b36f70ee5c1a54","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T22:34:07.219900Z","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":"2026-05-15T22:06:42.905190Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.11886","last_updated":"2024-01-29T17:28:20Z","snapshot_observed_at":"2026-08-07T09:10:19.330948Z","submitted_at":"2023-06-20T20:59:10Z","title":"SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11886","snapshot_observed_at":"2026-08-06T22:34:07.219900Z","title":"Sprint: Scalable policy pre-training via language instruction relabeling,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21250","last_updated":"2025-06-26T13:35:53Z","snapshot_observed_at":"2026-08-09T16:11:27.992454Z","submitted_at":"2025-06-26T13:35:53Z","title":"ACTLLM: Action Consistency Tuned Large Language Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:34:07.219900Z"},"links":{"cited_paper":"/paper/2306.11886","citing_paper":"/paper/2506.21250"},"observation_digest":"sha256:303af47f9b36b5389b404b84d32552079a6338f76062a0ad84bf5badf02cc234","observation_id":"234bbfda-8b85-4b10-aeff-9e19fdb23b8a","resolution":{"observed_at":"2026-08-06T22:34:07.219900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11886","last_updated":"2024-01-29T17:28:20Z","snapshot_observed_at":"2026-08-07T09:10:19.330948Z","submitted_at":"2023-06-20T20:59:10Z","title":"SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling","version":3},"cited_work":{"arxiv_id":"2306.11886","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.11886","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4cf33e40-abc9-4c1d-a4b5-de80966b7f9c","year":2024},"citing_paper":{"arxiv_id":"2602.13193","last_updated":"2026-04-06T03:04:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-13T18:57:56Z","title":"Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-15T22:05:39.797848Z"},"links":{"cited_paper":"/paper/2306.11886","citing_paper":"/paper/2602.13193"},"observation_digest":"sha256:fa187b93139c64dea6a8b935d94cb6e64cee5ebbd8fca84f7698f25436ce4e6f","observation_id":"76ed5040-d50c-4f16-9bca-b1398b47f04b","resolution":{"observed_at":"2026-05-15T22:06:42.909302Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2306.11886/citation-record","integrity":"/paper/2306.11886/integrity","json":"/paper/2306.11886/citation-record.json","paper":"/paper/2306.11886"},"outbound":[],"paper":{"arxiv_id":"2306.11886","last_updated":"2024-01-29T17:28:20Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T09:10:19.330948Z","submitted_at":"2023-06-20T20:59:10Z","title":"SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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:2306.11886."}