{"as_of":"2026-08-22T02:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56fdce032d7f9a66bd00dedafd22bb971004b8e044ede349873b7ecd6a7ad016","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":"2026-08-21T06:32:19.484+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":"2026-08-14T13:55:30.878948Z","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":"2026-08-14T13:55:31.095533Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1801.08058","last_updated":"2018-01-30T00:14:49Z","snapshot_observed_at":"2026-08-14T19:52:23.158644Z","submitted_at":"2018-01-24T16:17:53Z","title":"Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning","version":2},"cited_work":{"arxiv_id":"1801.08058","doi":null,"metadata_source":"pith","pith_arxiv_id":"1801.08058","snapshot_observed_at":"2026-08-14T13:55:31.095533Z","title":"Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning","venue":"cs.DC","work_id":"3b60e15a-3ddd-477b-aeb9-c18fcefeed87","year":2018},"citing_paper":{"arxiv_id":"1908.04172","last_updated":"2019-08-29T19:16:10Z","snapshot_observed_at":"2026-08-19T20:27:24.580704Z","submitted_at":"2019-08-12T14:30:13Z","title":"nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:55:30.878948Z"},"links":{"cited_paper":"/paper/1801.08058","citing_paper":"/paper/1908.04172"},"observation_digest":"sha256:3b82ff9927b3ecac010b9b11ff9b558abaa0cee1e1c5be1ae435e17d5c01634f","observation_id":"725c459b-3a91-4d1d-92c7-401c999c8aba","resolution":{"observed_at":"2026-08-14T13:55:31.102311Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.08058","last_updated":"2018-01-30T00:14:49Z","snapshot_observed_at":"2026-08-14T19:52:23.158644Z","submitted_at":"2018-01-24T16:17:53Z","title":"Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.08058","snapshot_observed_at":"2026-08-01T01:52:56.309590Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-19T17:24:33.451673Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.309590Z"},"links":{"cited_paper":"/paper/1801.08058","citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:89791d9b87bd24efc910262368ca34e7259bb1c5e13191c6c66a2986b3289279","observation_id":"e1975160-594f-4e43-84a4-53cf360e70de","resolution":{"observed_at":"2026-08-01T01:52:56.309590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1801.08058/citation-record","integrity":"/paper/1801.08058/integrity","json":"/paper/1801.08058/citation-record.json","paper":"/paper/1801.08058"},"outbound":[],"paper":{"arxiv_id":"1801.08058","last_updated":"2018-01-30T00:14:49Z","latest_version":2,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-14T19:52:23.158644Z","submitted_at":"2018-01-24T16:17:53Z","title":"Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1801.08058."}