{"as_of":"2026-08-20T13:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c6cc46d58f8987177112b22dd93fd8072443104ecb4ea18599bf50fe2684c7c1","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T17:25:31.645790Z","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":"2026-05-24T05:36:00.931119Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.14542","last_updated":"2023-10-23T03:48:24Z","snapshot_observed_at":"2026-08-19T12:41:08.683918Z","submitted_at":"2023-10-23T03:48:24Z","title":"Evaluating Large Language Models on Controlled Generation Tasks","version":1},"cited_work":{"arxiv_id":"2310.14542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14542","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Evaluating large language models on controlled generation tasks","venue":null,"work_id":"5f1dcb5e-3fbc-4ef2-8d60-7830498fb3b8","year":2023},"citing_paper":{"arxiv_id":"2311.07911","last_updated":"2023-11-14T05:13:55Z","snapshot_observed_at":"2026-07-06T16:47:08.877195Z","submitted_at":"2023-11-14T05:13:55Z","title":"Instruction-Following Evaluation for Large Language Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-24T05:34:04.002648Z"},"links":{"cited_paper":"/paper/2310.14542","citing_paper":"/paper/2311.07911"},"observation_digest":"sha256:257a373c9a4c5aa72baaaac6c0acc181f1ed47d418a09a0b3710370b07b92310","observation_id":"53cb8de8-f6e1-4964-8846-7a37a01b0ac7","resolution":{"observed_at":"2026-05-24T05:36:00.933940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14542","last_updated":"2023-10-23T03:48:24Z","snapshot_observed_at":"2026-08-19T12:41:08.683918Z","submitted_at":"2023-10-23T03:48:24Z","title":"Evaluating Large Language Models on Controlled Generation Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14542","snapshot_observed_at":"2026-08-11T17:25:31.645790Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08972","last_updated":"2025-05-30T17:43:10Z","snapshot_observed_at":"2026-08-16T14:38:32.824619Z","submitted_at":"2024-12-12T06:08:46Z","title":"RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T17:25:31.645790Z"},"links":{"cited_paper":"/paper/2310.14542","citing_paper":"/paper/2412.08972"},"observation_digest":"sha256:2ba4a368501ffb1c5380c45a196f73a9c3cc54e88eb7688e2da63d0ff1c1d9d7","observation_id":"29a4a05b-dc45-474b-8d11-7feff824a42e","resolution":{"observed_at":"2026-08-11T17:25:31.645790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14542","last_updated":"2023-10-23T03:48:24Z","snapshot_observed_at":"2026-08-19T12:41:08.683918Z","submitted_at":"2023-10-23T03:48:24Z","title":"Evaluating Large Language Models on Controlled Generation Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14542","snapshot_observed_at":"2026-08-10T22:05:23.925799Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02863","last_updated":"2025-02-11T13:34:12Z","snapshot_observed_at":"2026-08-16T16:00:44.757349Z","submitted_at":"2025-01-06T09:10:11Z","title":"Beyond Pass or Fail: Multi-Dimensional Benchmarking of Foundation Models for Goal-based Mobile UI Navigation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:23.925799Z"},"links":{"cited_paper":"/paper/2310.14542","citing_paper":"/paper/2501.02863"},"observation_digest":"sha256:5c3ab0da6fed5ef633186e3ae8363082f0ee095cd0bfe9fb59f30e7557dad45c","observation_id":"2defefe2-bfc3-46bb-a340-39ebb429604e","resolution":{"observed_at":"2026-08-10T22:05:23.925799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14542","last_updated":"2023-10-23T03:48:24Z","snapshot_observed_at":"2026-08-19T12:41:08.683918Z","submitted_at":"2023-10-23T03:48:24Z","title":"Evaluating Large Language Models on Controlled Generation Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14542","snapshot_observed_at":"2026-08-10T13:53:45.125635Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15875","last_updated":"2025-01-27T08:59:10Z","snapshot_observed_at":"2026-08-14T22:31:01.780294Z","submitted_at":"2025-01-27T08:59:10Z","title":"LCTG Bench: LLM Controlled Text Generation Benchmark","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T13:53:45.125635Z"},"links":{"cited_paper":"/paper/2310.14542","citing_paper":"/paper/2501.15875"},"observation_digest":"sha256:16c5114f43f23f4f34f2aaceaa0b72e1c03fca569737ae6d01c17bf7e509e681","observation_id":"e7679ab8-965e-49f2-9974-ff28d6e9080b","resolution":{"observed_at":"2026-08-10T13:53:45.125635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14542","last_updated":"2023-10-23T03:48:24Z","snapshot_observed_at":"2026-08-19T12:41:08.683918Z","submitted_at":"2023-10-23T03:48:24Z","title":"Evaluating Large Language Models on Controlled Generation Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14542","snapshot_observed_at":"2026-08-07T11:52:35.466441Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01265","last_updated":"2025-06-02T02:35:24Z","snapshot_observed_at":"2026-08-18T14:35:04.774004Z","submitted_at":"2025-06-02T02:35:24Z","title":"Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T11:52:35.466441Z"},"links":{"cited_paper":"/paper/2310.14542","citing_paper":"/paper/2506.01265"},"observation_digest":"sha256:c4384a484a516ccc28fc5bdaed06ab461aa8bee3064cd8f483535ccfb699a8f3","observation_id":"66137bd3-6855-4473-b750-5f8980f708a8","resolution":{"observed_at":"2026-08-07T11:52:35.466441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.14542/citation-record","integrity":"/paper/2310.14542/integrity","json":"/paper/2310.14542/citation-record.json","paper":"/paper/2310.14542"},"outbound":[],"paper":{"arxiv_id":"2310.14542","last_updated":"2023-10-23T03:48:24Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T12:41:08.683918Z","submitted_at":"2023-10-23T03:48:24Z","title":"Evaluating Large Language Models on Controlled Generation Tasks"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.14542."}