{"as_of":"2026-08-18T16:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b8d82483ddc61c9d651737f980ee0715dbcdee09c842d4dac002407ec630aed","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:40:28.912147Z","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":"2026-07-01T23:16:23.665582Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.06140","last_updated":"2023-10-09T20:39:18Z","snapshot_observed_at":"2026-08-16T14:53:40.122728Z","submitted_at":"2023-10-09T20:39:18Z","title":"NP-Hardness of Tensor Network Contraction Ordering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06140","snapshot_observed_at":"2026-08-16T12:40:28.912147Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12037","last_updated":"2025-04-16T12:52:19Z","snapshot_observed_at":"2026-08-16T20:08:44.893430Z","submitted_at":"2025-04-16T12:52:19Z","title":"Integrating Neural Networks and Tensor Networks for Computing Free Energy","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:28.912147Z"},"links":{"cited_paper":"/paper/2310.06140","citing_paper":"/paper/2504.12037"},"observation_digest":"sha256:de92a565e0970cd03555a7760d0b012a3e9b073068c979a214e86ff2e87594b1","observation_id":"c20bd890-5030-45be-a52d-69d88842518d","resolution":{"observed_at":"2026-08-16T12:40:28.912147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06140","last_updated":"2023-10-09T20:39:18Z","snapshot_observed_at":"2026-08-16T14:53:40.122728Z","submitted_at":"2023-10-09T20:39:18Z","title":"NP-Hardness of Tensor Network Contraction Ordering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06140","snapshot_observed_at":"2026-08-05T20:50:52.934827Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10076","last_updated":"2026-06-10T14:25:41Z","snapshot_observed_at":"2026-08-15T05:55:09.324376Z","submitted_at":"2025-08-13T16:35:11Z","title":"TensorKit.jl: A Julia package for large-scale tensor computations, with a hint of category theory","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T20:50:52.934827Z"},"links":{"cited_paper":"/paper/2310.06140","citing_paper":"/paper/2508.10076"},"observation_digest":"sha256:e2e0eff00c6bcdceaff705269c994e6176b1d4f0b98fecaeeb6e70921af16eff","observation_id":"e90ba5d9-07d5-486f-b1a2-ecdbb273f5b6","resolution":{"observed_at":"2026-08-05T20:50:52.934827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06140","last_updated":"2023-10-09T20:39:18Z","snapshot_observed_at":"2026-08-16T14:53:40.122728Z","submitted_at":"2023-10-09T20:39:18Z","title":"NP-Hardness of Tensor Network Contraction Ordering","version":1},"cited_work":{"arxiv_id":"2310.06140","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06140","snapshot_observed_at":"2026-07-01T23:16:23.665582Z","title":null,"venue":null,"work_id":"c33669ff-4ded-4092-aab3-996641cd613e","year":null},"citing_paper":{"arxiv_id":"2606.01975","last_updated":"2026-06-01T09:36:59Z","snapshot_observed_at":"2026-08-14T13:35:42.078670Z","submitted_at":"2026-06-01T09:36:59Z","title":"Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-06-28T14:35:24.936368Z"},"links":{"cited_paper":"/paper/2310.06140","citing_paper":"/paper/2606.01975"},"observation_digest":"sha256:11d120d9a7ef2c9edbeb3ef6123871d2d7bdcb0740884017b0f21dd8541f6279","observation_id":"049e638b-9878-44f7-a0f9-33f79599da69","resolution":{"observed_at":"2026-07-01T23:16:23.667677Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.06140/citation-record","integrity":"/paper/2310.06140/integrity","json":"/paper/2310.06140/citation-record.json","paper":"/paper/2310.06140"},"outbound":[],"paper":{"arxiv_id":"2310.06140","last_updated":"2023-10-09T20:39:18Z","latest_version":1,"primary_category":"cs.CC","snapshot_observed_at":"2026-08-16T14:53:40.122728Z","submitted_at":"2023-10-09T20:39:18Z","title":"NP-Hardness of Tensor Network Contraction Ordering"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.06140."}