{"as_of":"2026-08-09T19:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2bcc694c13d8a294745d235d21c5c8e7359deb8140eb456c6c7722a1173e2aa9","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:18:40.224406Z","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":"2026-06-28T17:22:24.881410Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.12735","last_updated":"2025-04-26T15:42:47Z","snapshot_observed_at":"2026-07-06T19:34:41.712266Z","submitted_at":"2024-10-16T16:51:01Z","title":"CREAM: Consistency Regularized Self-Rewarding Language Models","version":5},"cited_work":{"arxiv_id":"2410.12735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12735","snapshot_observed_at":"2026-06-28T17:22:24.881410Z","title":"Cream: Consistency regularized self-rewarding language models.arXiv preprint arXiv:2410.12735, 2024b","venue":null,"work_id":"51b24f5a-760f-4979-830e-ea837ee38458","year":2024},"citing_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-07-31T01:42:39.468673Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"reference_index":248,"source":"pdf_text","source_observed_at":"2026-05-11T23:08:34.312466Z"},"links":{"cited_paper":"/paper/2410.12735","citing_paper":"/paper/2412.05579"},"observation_digest":"sha256:42d38f6d01eb051209af4ceef8905ddb580920554d5ca34fe110fa0dada0f1fd","observation_id":"f1a0a132-d60d-47ee-9931-cf756568f9fc","resolution":{"observed_at":"2026-05-11T23:08:35.677694Z","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":"2410.12735","last_updated":"2025-04-26T15:42:47Z","snapshot_observed_at":"2026-07-06T19:34:41.712266Z","submitted_at":"2024-10-16T16:51:01Z","title":"CREAM: Consistency Regularized Self-Rewarding Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12735","snapshot_observed_at":"2026-08-07T23:18:40.224406Z","title":"Cream: Consistency regularized self-rewarding language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08922","last_updated":"2025-02-13T03:15:31Z","snapshot_observed_at":"2026-08-09T00:20:18.332726Z","submitted_at":"2025-02-13T03:15:31Z","title":"Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T23:18:40.224406Z"},"links":{"cited_paper":"/paper/2410.12735","citing_paper":"/paper/2502.08922"},"observation_digest":"sha256:ee3bb1e3a807ca4875a00e47e1e29069aca70e520f5232d9b1dba1d8d5e04a82","observation_id":"7164f128-cdf4-44ef-91c6-d7204eaa7eed","resolution":{"observed_at":"2026-08-07T23:18:40.224406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12735","last_updated":"2025-04-26T15:42:47Z","snapshot_observed_at":"2026-07-06T19:34:41.712266Z","submitted_at":"2024-10-16T16:51:01Z","title":"CREAM: Consistency Regularized Self-Rewarding Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12735","snapshot_observed_at":"2026-08-07T05:09:45.503921Z","title":"Cream: Consistency regularized self-rewarding language models.arXiv preprint arXiv:2410.12735, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08745","last_updated":"2025-06-10T12:40:39Z","snapshot_observed_at":"2026-08-08T00:32:04.126170Z","submitted_at":"2025-06-10T12:40:39Z","title":"Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:09:45.503921Z"},"links":{"cited_paper":"/paper/2410.12735","citing_paper":"/paper/2506.08745"},"observation_digest":"sha256:277486e16c21994fb79f4bf3941b2d379c9f21ab16d72e7e4a200cb7fadb55fa","observation_id":"84ddd584-f7dc-4d90-beb6-3439d62ea7a8","resolution":{"observed_at":"2026-08-07T05:09:45.503921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12735","last_updated":"2025-04-26T15:42:47Z","snapshot_observed_at":"2026-07-06T19:34:41.712266Z","submitted_at":"2024-10-16T16:51:01Z","title":"CREAM: Consistency Regularized Self-Rewarding Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12735","snapshot_observed_at":"2026-08-06T18:09:10.242420Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09184","last_updated":"2025-07-23T02:46:25Z","snapshot_observed_at":"2026-08-08T09:49:36.566537Z","submitted_at":"2025-07-12T08:09:35Z","title":"MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T18:09:10.242420Z"},"links":{"cited_paper":"/paper/2410.12735","citing_paper":"/paper/2507.09184"},"observation_digest":"sha256:a0014561790c9ca0ef26b3bf9abb2598e7037af9e57aa575a88f3444872fd4f6","observation_id":"563b46ce-91bc-487f-8af0-ab6aeb176d77","resolution":{"observed_at":"2026-08-06T18:09:10.242420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12735","last_updated":"2025-04-26T15:42:47Z","snapshot_observed_at":"2026-07-06T19:34:41.712266Z","submitted_at":"2024-10-16T16:51:01Z","title":"CREAM: Consistency Regularized Self-Rewarding Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12735","snapshot_observed_at":"2026-08-05T23:06:49.688537Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06026","last_updated":"2025-08-08T05:25:54Z","snapshot_observed_at":"2026-08-08T09:51:41.415322Z","submitted_at":"2025-08-08T05:25:54Z","title":"Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T23:06:49.688537Z"},"links":{"cited_paper":"/paper/2410.12735","citing_paper":"/paper/2508.06026"},"observation_digest":"sha256:ebeff7261cae4ce0fd2f37183b1bcc834f6ff8a03806e954a7cc23a781c63f81","observation_id":"19a68efa-94f5-40ea-a1fb-beae266ab74a","resolution":{"observed_at":"2026-08-05T23:06:49.688537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12735","last_updated":"2025-04-26T15:42:47Z","snapshot_observed_at":"2026-07-06T19:34:41.712266Z","submitted_at":"2024-10-16T16:51:01Z","title":"CREAM: Consistency Regularized Self-Rewarding Language Models","version":5},"cited_work":{"arxiv_id":"2410.12735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12735","snapshot_observed_at":"2026-06-28T17:22:24.881410Z","title":"Cream: Consistency regularized self-rewarding language models.arXiv preprint arXiv:2410.12735, 2024b","venue":null,"work_id":"51b24f5a-760f-4979-830e-ea837ee38458","year":2024},"citing_paper":{"arxiv_id":"2606.01075","last_updated":"2026-06-02T05:50:15Z","snapshot_observed_at":"2026-08-08T11:14:54.052517Z","submitted_at":"2026-05-31T07:43:19Z","title":"On the Generalization Gap in Self-Evolving Language Model Reasoning","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-28T17:18:37.671369Z"},"links":{"cited_paper":"/paper/2410.12735","citing_paper":"/paper/2606.01075"},"observation_digest":"sha256:8e6bc2a338dfba016669564144bbb46a496f326bde9a51c83ff82c2672a621f5","observation_id":"5f9d1c4b-b980-4951-bed9-2d7cad5ab78c","resolution":{"observed_at":"2026-06-28T17:22:24.883038Z","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/2410.12735/citation-record","integrity":"/paper/2410.12735/integrity","json":"/paper/2410.12735/citation-record.json","paper":"/paper/2410.12735"},"outbound":[],"paper":{"arxiv_id":"2410.12735","last_updated":"2025-04-26T15:42:47Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:34:41.712266Z","submitted_at":"2024-10-16T16:51:01Z","title":"CREAM: Consistency Regularized Self-Rewarding Language Models"},"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 6 inbound Pith citation observations for arXiv:2410.12735."}