{"as_of":"2026-08-11T17:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7a026ae8e93b1b3fbf5918b820b99a1bb1dd6306d1a31d1da9207761b42a0ef","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T22:04:09.987533Z","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":"2026-07-03T21:08:58.477167Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.14724","last_updated":"2024-10-15T21:03:53Z","snapshot_observed_at":"2026-08-11T15:25:55.203248Z","submitted_at":"2024-10-15T21:03:53Z","title":"A Phenomenological AI Foundation Model for Physical Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14724","snapshot_observed_at":"2026-08-10T22:04:09.987533Z","title":"AI-Generated Poetry Is Indistinguishable from Human-Written Poetry and Is Rated More Favorably","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.03026","last_updated":"2025-01-06T14:09:35Z","snapshot_observed_at":"2026-08-11T14:28:53.463644Z","submitted_at":"2025-01-06T14:09:35Z","title":"Putnam's Critical and Explanatory Tendencies Interpreted from a Machine Learning Perspective","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T22:04:09.987533Z"},"links":{"cited_paper":"/paper/2410.14724","citing_paper":"/paper/2501.03026"},"observation_digest":"sha256:600d0af8df748f2185937747874f8696a48a8f86b36c2a0ce5b4542293f26e32","observation_id":"7775af1e-efc2-4f09-84b9-34e894defed9","resolution":{"observed_at":"2026-08-10T22:04:09.987533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14724","last_updated":"2024-10-15T21:03:53Z","snapshot_observed_at":"2026-08-11T15:25:55.203248Z","submitted_at":"2024-10-15T21:03:53Z","title":"A Phenomenological AI Foundation Model for Physical Signals","version":1},"cited_work":{"arxiv_id":"2410.14724","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14724","snapshot_observed_at":"2026-07-03T21:08:58.477167Z","title":"arXiv preprint arXiv:2410.14724 , year=","venue":null,"work_id":"a4159c42-5bb2-45dd-801c-c20de70cd4e4","year":null},"citing_paper":{"arxiv_id":"2606.18147","last_updated":"2026-06-16T16:45:56Z","snapshot_observed_at":"2026-08-03T00:46:36.791384Z","submitted_at":"2026-06-16T16:45:56Z","title":"WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning","version":1},"reference_index":168,"source":"arxiv_source","source_observed_at":"2026-06-27T00:53:11.223341Z"},"links":{"cited_paper":"/paper/2410.14724","citing_paper":"/paper/2606.18147"},"observation_digest":"sha256:68e9b16c0492a55ecde232cf18c2b03398e40f658d10363f626f5f7ad9f1b2d5","observation_id":"e0f41958-8548-49bf-bd7b-ffd778ef3500","resolution":{"observed_at":"2026-07-03T21:08:58.478576Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.14724/citation-record","integrity":"/paper/2410.14724/integrity","json":"/paper/2410.14724/citation-record.json","paper":"/paper/2410.14724"},"outbound":[],"paper":{"arxiv_id":"2410.14724","last_updated":"2024-10-15T21:03:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T15:25:55.203248Z","submitted_at":"2024-10-15T21:03:53Z","title":"A Phenomenological AI Foundation Model for Physical Signals"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14724."}