{"as_of":"2026-08-09T22:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cac1a9e7ee2de1afe9feffe478497bdd586165b8a585469b3ac1e217634d8c48","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:22:20.110396Z","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":"2026-07-04T03:29:30.765786Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-08-08T18:22:20.110396Z","title":"Iterative zero-shot LLM prompting for knowledge graph construction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05694","last_updated":"2025-02-08T21:12:04Z","snapshot_observed_at":"2026-08-08T18:17:46.343395Z","submitted_at":"2025-02-08T21:12:04Z","title":"Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T18:22:20.110396Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2502.05694"},"observation_digest":"sha256:cc5af5deda54d416c899760cac5a1a1876c65da6e674728b56a3fc114e25c920","observation_id":"fb28a8c8-1f5f-448d-9f32-723ade44a288","resolution":{"observed_at":"2026-08-08T18:22:20.110396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-08-08T16:54:47.560079Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06075","last_updated":"2025-02-09T23:58:46Z","snapshot_observed_at":"2026-08-08T16:48:12.102488Z","submitted_at":"2025-02-09T23:58:46Z","title":"Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T16:54:47.560079Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2502.06075"},"observation_digest":"sha256:7c97c726aa544a92e35d6ed7894a5b1b01663b3976c7089299766abd66a1b847","observation_id":"d190427b-4280-4fd4-97f3-2f3488666a48","resolution":{"observed_at":"2026-08-08T16:54:47.560079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":"2307.01128","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-07-04T03:29:30.765786Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","venue":null,"work_id":"f784b521-7f51-452b-a2a7-2fa6d4fe57e7","year":2023},"citing_paper":{"arxiv_id":"2504.07738","last_updated":"2026-05-14T12:43:56Z","snapshot_observed_at":"2026-07-06T21:07:19.002069Z","submitted_at":"2025-04-10T13:29:58Z","title":"Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-22T20:49:09.256527Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2504.07738"},"observation_digest":"sha256:bd9d2539b4cc728b633674e7e93e5e1604e246a41d9679a32ac85bf2b85ab53d","observation_id":"c6d355f8-e0ea-428c-9ed9-105fbaf17133","resolution":{"observed_at":"2026-05-22T20:52:06.367058Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-08-06T15:26:15.634936Z","title":"Carta, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15917","last_updated":"2025-07-23T15:32:44Z","snapshot_observed_at":"2026-08-06T15:19:45.169748Z","submitted_at":"2025-07-21T17:57:17Z","title":"HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:15.634936Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2507.15917"},"observation_digest":"sha256:db0751762eecd816e425808564cc138b203991dc8cc4d4f416ea756907f72dea","observation_id":"dd0b5808-75c3-4921-a9ea-f8f55056e895","resolution":{"observed_at":"2026-08-06T15:26:15.634936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":"2307.01128","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-07-04T03:29:30.765786Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","venue":null,"work_id":"f784b521-7f51-452b-a2a7-2fa6d4fe57e7","year":2023},"citing_paper":{"arxiv_id":"2509.09544","last_updated":"2026-05-26T16:53:51Z","snapshot_observed_at":"2026-08-04T18:57:13.421998Z","submitted_at":"2025-09-11T15:37:56Z","title":"MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-18T17:42:34.395450Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2509.09544"},"observation_digest":"sha256:7d32095864bdd157df16ca7a5e38bb38c5743266068f386ef3d19bd06089be37","observation_id":"12f5c9c0-764d-45d2-a014-5596d7ed2396","resolution":{"observed_at":"2026-05-18T17:42:46.474569Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-08-04T18:57:21.635132Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09544","last_updated":"2026-05-26T16:53:51Z","snapshot_observed_at":"2026-08-04T18:57:13.421998Z","submitted_at":"2025-09-11T15:37:56Z","title":"MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T18:57:21.635132Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2509.09544"},"observation_digest":"sha256:09b3745541627e9fec1d77b8728843c5750c39932de81609b1ccb162f78a4b48","observation_id":"28e7ff6f-15c7-450d-a0c8-449791041f21","resolution":{"observed_at":"2026-08-04T18:57:21.635132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":"2307.01128","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-07-04T03:29:30.765786Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","venue":null,"work_id":"f784b521-7f51-452b-a2a7-2fa6d4fe57e7","year":2023},"citing_paper":{"arxiv_id":"2604.15951","last_updated":"2026-04-20T11:32:15Z","snapshot_observed_at":"2026-07-06T23:03:21.422544Z","submitted_at":"2026-04-17T11:12:55Z","title":"Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T09:08:48.468564Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2604.15951"},"observation_digest":"sha256:ec6c6f6f97b5670fa3de16cc254f45945e1eca3c31c97a9da0d88f590c7ef89a","observation_id":"376b37da-16d8-4008-a4c2-31785ec6da7d","resolution":{"observed_at":"2026-05-10T09:13:30.198997Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":"2307.01128","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-07-04T03:29:30.765786Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","venue":null,"work_id":"f784b521-7f51-452b-a2a7-2fa6d4fe57e7","year":2023},"citing_paper":{"arxiv_id":"2604.19137","last_updated":"2026-04-21T06:38:07Z","snapshot_observed_at":"2026-07-06T23:05:48.885141Z","submitted_at":"2026-04-21T06:38:07Z","title":"Construction of Knowledge Graph based on Language Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T02:58:06.245937Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2604.19137"},"observation_digest":"sha256:bb568fc5676a8cf50546f0fba4ce1b2cff9fd5c310824119cd1a987961a3351a","observation_id":"120f5034-4242-4146-b4f8-727784fa733f","resolution":{"observed_at":"2026-05-11T12:46:21.808384Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","version":1},"cited_work":{"arxiv_id":"2307.01128","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.01128","snapshot_observed_at":"2026-07-04T03:29:30.765786Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","venue":null,"work_id":"f784b521-7f51-452b-a2a7-2fa6d4fe57e7","year":2023},"citing_paper":{"arxiv_id":"2606.19710","last_updated":"2026-06-18T02:09:33Z","snapshot_observed_at":"2026-08-09T02:32:49.422910Z","submitted_at":"2026-06-18T02:09:33Z","title":"FineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:24.189637Z"},"links":{"cited_paper":"/paper/2307.01128","citing_paper":"/paper/2606.19710"},"observation_digest":"sha256:b53eb89b578daf7b49943cb35e30ccd7691355f9d042bf692a88ec0fe6c45424","observation_id":"41f2dafc-d613-4735-9063-a2343dce4acd","resolution":{"observed_at":"2026-07-04T03:29:30.768637Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.01128/citation-record","integrity":"/paper/2307.01128/integrity","json":"/paper/2307.01128/citation-record.json","paper":"/paper/2307.01128"},"outbound":[],"paper":{"arxiv_id":"2307.01128","last_updated":"2023-07-03T16:01:45Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:49:47.586513Z","submitted_at":"2023-07-03T16:01:45Z","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2307.01128."}