{"as_of":"2026-08-07T20:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cefa2feccff57ae597e61cbc17b6fb9d424b81ab217efeec5dce7e22bca22f15","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T14:56:22.020268Z","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":"2026-05-11T06:20:55.635412Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.08158","last_updated":"2025-03-11T21:54:08Z","snapshot_observed_at":"2026-08-07T20:13:05.073316Z","submitted_at":"2024-08-15T13:48:44Z","title":"EmBARDiment: an Embodied AI Agent for Productivity in XR","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08158","snapshot_observed_at":"2026-08-06T14:56:22.020268Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17248","last_updated":"2025-07-24T07:13:36Z","snapshot_observed_at":"2026-08-07T18:32:26.281341Z","submitted_at":"2025-07-23T06:34:58Z","title":"Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representations","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T14:56:22.020268Z"},"links":{"cited_paper":"/paper/2408.08158","citing_paper":"/paper/2507.17248"},"observation_digest":"sha256:79471e9c4a0c32291a26b343692c0233cc44307c9d9f4acf4dc8be388ed4e259","observation_id":"ff27174b-121d-4fc0-b2fb-65b4a11f9b88","resolution":{"observed_at":"2026-08-06T14:56:22.020268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08158","last_updated":"2025-03-11T21:54:08Z","snapshot_observed_at":"2026-08-07T20:13:05.073316Z","submitted_at":"2024-08-15T13:48:44Z","title":"EmBARDiment: an Embodied AI Agent for Productivity in XR","version":2},"cited_work":{"arxiv_id":"2408.08158","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.08158","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gonzalez, Li-Te Cheng, and Mar Gonzalez-Franco","venue":null,"work_id":"328361ad-ee68-4781-9a67-d9a1aabe0d4d","year":2024},"citing_paper":{"arxiv_id":"2604.08062","last_updated":"2026-04-09T10:25:42Z","snapshot_observed_at":"2026-07-06T22:57:13.745326Z","submitted_at":"2026-04-09T10:25:42Z","title":"From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T17:42:04.640469Z"},"links":{"cited_paper":"/paper/2408.08158","citing_paper":"/paper/2604.08062"},"observation_digest":"sha256:b5825e173b4589b0e7dce181c4a2656ed6e60d3ccc387a542bcf33f643be5182","observation_id":"5110db4c-74ca-402a-b092-230e55b4e2d1","resolution":{"observed_at":"2026-05-11T06:20:55.638829Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.08158/citation-record","integrity":"/paper/2408.08158/integrity","json":"/paper/2408.08158/citation-record.json","paper":"/paper/2408.08158"},"outbound":[],"paper":{"arxiv_id":"2408.08158","last_updated":"2025-03-11T21:54:08Z","latest_version":2,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-07T20:13:05.073316Z","submitted_at":"2024-08-15T13:48:44Z","title":"EmBARDiment: an Embodied AI Agent for Productivity in XR"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.08158."}