{"as_of":"2026-08-17T00:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:73a9ef22fa41d7c2f9a9218409eb97e0bed9d7c20e6be84566578a5fac91d4d8","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":"2026-08-16T06:30:59.297886+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":"2026-08-15T19:33:05.322305Z","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":"2026-08-11T00:16:15.729268Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.04340","last_updated":"2024-02-12T16:32:49Z","snapshot_observed_at":"2026-08-16T15:17:34.158343Z","submitted_at":"2023-07-10T04:48:40Z","title":"Crystal Structure Generation with Autoregressive Large Language Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.04340","snapshot_observed_at":"2026-08-12T17:49:13.949772Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12280","last_updated":"2024-11-19T07:03:19Z","snapshot_observed_at":"2026-08-16T18:38:29.974781Z","submitted_at":"2024-11-19T07:03:19Z","title":"Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T17:49:13.949772Z"},"links":{"cited_paper":"/paper/2307.04340","citing_paper":"/paper/2411.12280"},"observation_digest":"sha256:51ec2bcbaf8166a46df67c060810b2951068666317978765e54c3cfc8523544c","observation_id":"2eda9604-eb84-465d-93a1-31ff1781848b","resolution":{"observed_at":"2026-08-12T17:49:13.949772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.04340","last_updated":"2024-02-12T16:32:49Z","snapshot_observed_at":"2026-08-16T15:17:34.158343Z","submitted_at":"2023-07-10T04:48:40Z","title":"Crystal Structure Generation with Autoregressive Large Language Modeling","version":3},"cited_work":{"arxiv_id":"2307.04340","doi":"10.48550/arxiv.2307.04340","metadata_source":"pith","pith_arxiv_id":"2307.04340","snapshot_observed_at":"2026-08-11T00:16:15.729268Z","title":"Crystal Structure Generation with Autoregressive Large Language Modeling","venue":"cond-mat.mtrl-sci","work_id":"a430ef62-4258-4a16-b459-634fe544e1f0","year":2023},"citing_paper":{"arxiv_id":"2501.02144","last_updated":"2025-06-30T18:43:44Z","snapshot_observed_at":"2026-08-16T17:56:54.517328Z","submitted_at":"2025-01-04T00:14:59Z","title":"Establishing baselines for generative discovery of inorganic crystals","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:19:03.005353Z"},"links":{"cited_paper":"/paper/2307.04340","citing_paper":"/paper/2501.02144"},"observation_digest":"sha256:b60c89f60e4306bbd537f95e3ae352d6b6f9f28ab609488f9e38fc8e9a6465fa","observation_id":"4ed7751e-f306-417d-92e3-60c4c8b03408","resolution":{"observed_at":"2026-08-10T22:19:03.106978Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.04340","last_updated":"2024-02-12T16:32:49Z","snapshot_observed_at":"2026-08-16T15:17:34.158343Z","submitted_at":"2023-07-10T04:48:40Z","title":"Crystal Structure Generation with Autoregressive Large Language Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.04340","snapshot_observed_at":"2026-08-15T19:33:05.322305Z","title":"arXiv preprint arXiv:2307.04340 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.17345","last_updated":"2025-06-19T15:45:24Z","snapshot_observed_at":"2026-08-15T19:24:52.330586Z","submitted_at":"2025-06-19T15:45:24Z","title":"CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T19:33:05.322305Z"},"links":{"cited_paper":"/paper/2307.04340","citing_paper":"/paper/2506.17345"},"observation_digest":"sha256:feb72dd6eddac8ca8f9c498731bb3a0a4fbcc65d19e49954acc4f9663445de9d","observation_id":"3d4a5baf-5b8c-4144-a7e8-9a0b46fe3aa6","resolution":{"observed_at":"2026-08-15T19:33:05.322305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.04340/citation-record","integrity":"/paper/2307.04340/integrity","json":"/paper/2307.04340/citation-record.json","paper":"/paper/2307.04340"},"outbound":[],"paper":{"arxiv_id":"2307.04340","last_updated":"2024-02-12T16:32:49Z","latest_version":3,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-16T15:17:34.158343Z","submitted_at":"2023-07-10T04:48:40Z","title":"Crystal Structure Generation with Autoregressive Large Language Modeling"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.04340."}