{"as_of":"2026-08-06T14:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a274d152ccd0d5d7e61728c5dd096210718fc190700fce709c612f6841aadb87","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":"2026-08-06T06:34:29.942622+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":"2026-08-04T05:19:56.209639Z","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":"2026-05-11T17:41:09.822045Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.15240","last_updated":"2024-12-13T08:25:26Z","snapshot_observed_at":"2026-07-06T20:10:24.217625Z","submitted_at":"2024-12-13T08:25:26Z","title":"ChainStream: An LLM-based Framework for Unified Synthetic Sensing","version":1},"cited_work":{"arxiv_id":"2412.15240","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15240","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8ed5c3a5-b1de-49e4-9b92-3c66cf0d16d1","year":2024},"citing_paper":{"arxiv_id":"2605.04227","last_updated":"2026-08-01T20:12:35Z","snapshot_observed_at":"2026-08-06T14:16:04.013830Z","submitted_at":"2026-05-05T19:12:11Z","title":"Pro$^2$Assist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Perception for Long-horizon Procedural Tasks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-08T17:16:31.820718Z"},"links":{"cited_paper":"/paper/2412.15240","citing_paper":"/paper/2605.04227"},"observation_digest":"sha256:c910da6a2dea9e4c410c9ee4c3a4b98a70d5aafa3bd9324d37b2eb81b69c4587","observation_id":"11f6a71f-e59d-4d7b-a089-31edc5d71843","resolution":{"observed_at":"2026-05-11T17:41:09.826282Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15240","last_updated":"2024-12-13T08:25:26Z","snapshot_observed_at":"2026-07-06T20:10:24.217625Z","submitted_at":"2024-12-13T08:25:26Z","title":"ChainStream: An LLM-based Framework for Unified Synthetic Sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15240","snapshot_observed_at":"2026-08-04T05:19:56.209639Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.04227","last_updated":"2026-08-01T20:12:35Z","snapshot_observed_at":"2026-08-06T14:16:04.013830Z","submitted_at":"2026-05-05T19:12:11Z","title":"Pro$^2$Assist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Perception for Long-horizon Procedural Tasks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T05:19:56.209639Z"},"links":{"cited_paper":"/paper/2412.15240","citing_paper":"/paper/2605.04227"},"observation_digest":"sha256:a1f53a2f69d805c341b5bf9b346c5748274d8dc68a7fb35f3724f6e1850dada4","observation_id":"4d797611-c148-43f0-93c3-abaf618b1d04","resolution":{"observed_at":"2026-08-04T05:19:56.209639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.15240/citation-record","integrity":"/paper/2412.15240/integrity","json":"/paper/2412.15240/citation-record.json","paper":"/paper/2412.15240"},"outbound":[],"paper":{"arxiv_id":"2412.15240","last_updated":"2024-12-13T08:25:26Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T20:10:24.217625Z","submitted_at":"2024-12-13T08:25:26Z","title":"ChainStream: An LLM-based Framework for Unified Synthetic Sensing"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.15240."}