{"as_of":"2026-08-10T01:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f428d1d958d275ae0110a345d1e350b0e44e8983133c2d0c5d7d60da976e740f","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":"2026-08-09T06:31:02.800959+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":"2026-07-14T13:10:47.045131Z","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":"2026-07-02T01:56:28.050220Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09656","last_updated":"2024-08-20T02:05:46Z","snapshot_observed_at":"2026-08-04T17:35:40.686575Z","submitted_at":"2024-08-19T02:34:15Z","title":"A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09656","snapshot_observed_at":"2026-07-13T15:09:20.426018Z","title":"A comparison of large language model and human perfor- mance on random number generation tasks.arXiv preprint arXiv:2408.09656, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.23908","last_updated":"2026-05-27T01:19:27Z","snapshot_observed_at":"2026-08-10T01:00:40.777865Z","submitted_at":"2026-04-01T02:44:54Z","title":"In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-13T15:09:20.426018Z"},"links":{"cited_paper":"/paper/2408.09656","citing_paper":"/paper/2605.23908"},"observation_digest":"sha256:d2120e542dff001dda7010941b48ed5acb19fd3324f17ee3101e98963deca8f5","observation_id":"44144acf-8d58-459a-b4d4-0af86676dac2","resolution":{"observed_at":"2026-07-13T15:09:20.426018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09656","last_updated":"2024-08-20T02:05:46Z","snapshot_observed_at":"2026-08-04T17:35:40.686575Z","submitted_at":"2024-08-19T02:34:15Z","title":"A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks","version":2},"cited_work":{"arxiv_id":"2408.09656","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09656","snapshot_observed_at":"2026-07-02T01:56:28.050220Z","title":"arXiv preprint arXiv:2408.09656 , year=","venue":null,"work_id":"88f015af-62d0-4415-a773-5cbcf689f212","year":null},"citing_paper":{"arxiv_id":"2606.03330","last_updated":"2026-06-02T08:39:50Z","snapshot_observed_at":"2026-08-02T20:44:01.368085Z","submitted_at":"2026-06-02T08:39:50Z","title":"FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-28T11:24:01.547119Z"},"links":{"cited_paper":"/paper/2408.09656","citing_paper":"/paper/2606.03330"},"observation_digest":"sha256:d5fad5520999b161c7a041389fe20cd9d5644fa0547170804be7fa7fdfabb1a5","observation_id":"0715f8b3-bb13-49d1-8ebc-0456428e6369","resolution":{"observed_at":"2026-07-02T01:56:28.052406Z","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":"2408.09656","last_updated":"2024-08-20T02:05:46Z","snapshot_observed_at":"2026-08-04T17:35:40.686575Z","submitted_at":"2024-08-19T02:34:15Z","title":"A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09656","snapshot_observed_at":"2026-07-14T13:10:47.045131Z","title":"A comparison of large language model and human performance on random number generation tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10252","last_updated":"2026-07-11T10:34:17Z","snapshot_observed_at":"2026-08-07T03:27:50.659805Z","submitted_at":"2026-07-11T10:34:17Z","title":"One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T13:10:47.045131Z"},"links":{"cited_paper":"/paper/2408.09656","citing_paper":"/paper/2607.10252"},"observation_digest":"sha256:7ac36c4b4d63f43d23699ed763900c6ce690a2762c763cf251719bd5eb8d2a5f","observation_id":"029349fd-237f-4870-9a9b-497a8689ab5a","resolution":{"observed_at":"2026-07-14T13:10:47.045131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.09656/citation-record","integrity":"/paper/2408.09656/integrity","json":"/paper/2408.09656/citation-record.json","paper":"/paper/2408.09656"},"outbound":[],"paper":{"arxiv_id":"2408.09656","last_updated":"2024-08-20T02:05:46Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-04T17:35:40.686575Z","submitted_at":"2024-08-19T02:34:15Z","title":"A Comparison of Large Language Model and Human Performance on Random Number 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.09656."}