{"as_of":"2026-08-08T20:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e9eafaf3b6b946955cb16b154a7ca7fdf25dd6912cd9499074cf2bb3d3fa234","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T10:43:47.718114Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T00:48:45.776510Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.16270","last_updated":"2024-12-20T15:20:57Z","snapshot_observed_at":"2026-08-03T18:07:49.492562Z","submitted_at":"2024-12-20T15:20:57Z","title":"MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design","version":1},"cited_work":{"arxiv_id":"2412.16270","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.16270","snapshot_observed_at":"2026-08-07T00:48:45.776510Z","title":"MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design","venue":"cs.AI","work_id":"0b57839a-3625-4605-8865-3743ccd16dc9","year":2024},"citing_paper":{"arxiv_id":"2506.12594","last_updated":"2025-06-14T18:19:05Z","snapshot_observed_at":"2026-08-07T11:53:13.790399Z","submitted_at":"2025-06-14T18:19:05Z","title":"A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications","version":1},"reference_index":224,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:31.480566Z"},"links":{"cited_paper":"/paper/2412.16270","citing_paper":"/paper/2506.12594"},"observation_digest":"sha256:a5b58f688ddabdb1177342601cdbfcc3ff00835d9e5b55c7007891bf12cf2614","observation_id":"c80ab890-33d8-41d0-b9ed-87af56938b32","resolution":{"observed_at":"2026-08-07T00:48:45.874968Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16270","last_updated":"2024-12-20T15:20:57Z","snapshot_observed_at":"2026-08-03T18:07:49.492562Z","submitted_at":"2024-12-20T15:20:57Z","title":"MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16270","snapshot_observed_at":"2026-08-07T10:43:47.718114Z","title":"D., et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15722","last_updated":"2025-06-05T06:05:09Z","snapshot_observed_at":"2026-08-07T10:33:41.641320Z","submitted_at":"2025-06-05T06:05:09Z","title":"UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T10:43:47.718114Z"},"links":{"cited_paper":"/paper/2412.16270","citing_paper":"/paper/2506.15722"},"observation_digest":"sha256:05b3907a0528dde76417dc2c21754cb5ce8429e804524ca31ae502603284d077","observation_id":"f90d663d-933d-4f5a-981f-3c9a55bc90c0","resolution":{"observed_at":"2026-08-07T10:43:47.718114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.16270/citation-record","integrity":"/paper/2412.16270/integrity","json":"/paper/2412.16270/citation-record.json","paper":"/paper/2412.16270"},"outbound":[],"paper":{"arxiv_id":"2412.16270","last_updated":"2024-12-20T15:20:57Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-03T18:07:49.492562Z","submitted_at":"2024-12-20T15:20:57Z","title":"MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.16270."}