{"as_of":"2026-08-07T16:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:41123aa405293e2484bdaa5a2c2d72bafddbe3eb8722d1b21e8f55b4eaf91c98","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T05:49:45.723481Z","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":"2026-07-03T00:07:27.940098Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-08-04T20:09:00.504202Z","title":"Worldpm: Scaling human preference modeling.arXiv preprint arXiv:2505.10527, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08826","last_updated":"2025-09-10T17:59:31Z","snapshot_observed_at":"2026-08-07T13:58:40.131270Z","submitted_at":"2025-09-10T17:59:31Z","title":"RewardDance: Reward Scaling in Visual Generation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T20:09:00.504202Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2509.08826"},"observation_digest":"sha256:4ec8c16e56931d5deb68c6d1ea9b33165c60827f9f537262ae7812294d80dd7c","observation_id":"c6887f61-aa82-4a10-9f0e-16a07b78309b","resolution":{"observed_at":"2026-08-04T20:09:00.504202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-08-02T18:14:49.961366Z","title":"Worldpm: Scaling human preference modeling, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.14473","last_updated":"2026-07-15T10:22:14Z","snapshot_observed_at":"2026-08-05T20:09:51.962104Z","submitted_at":"2026-03-15T16:31:51Z","title":"AI Can Learn Scientific Taste","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T18:14:49.961366Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2603.14473"},"observation_digest":"sha256:41330dccef5962031ab50feda6407f721063aa578796e04ebec866c703eace00","observation_id":"f423c084-1aae-4047-82a9-ee19963d9dc0","resolution":{"observed_at":"2026-08-02T18:14:49.961366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":"2505.10527","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-07-03T00:07:27.940098Z","title":"Worldpm: Scaling human preference modeling","venue":null,"work_id":"bc1f5d9c-1e8f-4f68-a2d0-6a4456d5531a","year":2025},"citing_paper":{"arxiv_id":"2604.17188","last_updated":"2026-04-28T11:56:12Z","snapshot_observed_at":"2026-08-05T20:03:28.882874Z","submitted_at":"2026-04-19T01:27:41Z","title":"Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-10T06:47:34.623340Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2604.17188"},"observation_digest":"sha256:67b0b5aa76668c47b4942e01c4afc5241ff51968e38250f73b4a67134f170deb","observation_id":"c7f984f2-8052-45cb-abbe-747d8cfe1a63","resolution":{"observed_at":"2026-05-10T06:51:46.328497Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":"2505.10527","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-07-03T00:07:27.940098Z","title":"Worldpm: Scaling human preference modeling","venue":null,"work_id":"bc1f5d9c-1e8f-4f68-a2d0-6a4456d5531a","year":2025},"citing_paper":{"arxiv_id":"2604.27505","last_updated":"2026-05-20T07:08:10Z","snapshot_observed_at":"2026-07-06T23:12:57.730833Z","submitted_at":"2026-04-30T06:54:39Z","title":"Leveraging Verifier-Based Reinforcement Learning in Image Editing","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-07T08:00:33.307429Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2604.27505"},"observation_digest":"sha256:b49863d4a4d8e541c3456e12319868deaf12a7b21990adfa4e407db100b1661c","observation_id":"d8ebd339-9560-40c2-9808-0fb0e0b52c20","resolution":{"observed_at":"2026-05-12T10:06:27.446483Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":"2505.10527","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-07-03T00:07:27.940098Z","title":"Worldpm: Scaling human preference modeling","venue":null,"work_id":"bc1f5d9c-1e8f-4f68-a2d0-6a4456d5531a","year":2025},"citing_paper":{"arxiv_id":"2604.27505","last_updated":"2026-05-20T07:08:10Z","snapshot_observed_at":"2026-07-06T23:12:57.730833Z","submitted_at":"2026-04-30T06:54:39Z","title":"Leveraging Verifier-Based Reinforcement Learning in Image Editing","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-21T09:11:02.183133Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2604.27505"},"observation_digest":"sha256:db4a80ad6a8bdb60eea543eff2369d378e5814bd949fd966c4b9488f76755190","observation_id":"b54261bb-8481-4f67-9bc9-04a6944e3572","resolution":{"observed_at":"2026-05-21T09:14:05.932676Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":"2505.10527","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-07-03T00:07:27.940098Z","title":"Worldpm: Scaling human preference modeling","venue":null,"work_id":"bc1f5d9c-1e8f-4f68-a2d0-6a4456d5531a","year":2025},"citing_paper":{"arxiv_id":"2605.08703","last_updated":"2026-05-09T05:32:48Z","snapshot_observed_at":"2026-08-03T08:47:01.526741Z","submitted_at":"2026-05-09T05:32:48Z","title":"RewardHarness: Self-Evolving Agentic Post-Training","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-12T01:05:25.567581Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2605.08703"},"observation_digest":"sha256:0ae28ec42b421fc76a1af965e7650c6f3ac28ee41b4933fcb249c3ebc9d01305","observation_id":"2619ad0c-fc3c-45c9-8374-4ed6ab95b580","resolution":{"observed_at":"2026-05-12T08:31:23.995255Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":"2505.10527","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-07-03T00:07:27.940098Z","title":"Worldpm: Scaling human preference modeling","venue":null,"work_id":"bc1f5d9c-1e8f-4f68-a2d0-6a4456d5531a","year":2025},"citing_paper":{"arxiv_id":"2606.09076","last_updated":"2026-07-14T12:46:55Z","snapshot_observed_at":"2026-07-17T23:19:03.633221Z","submitted_at":"2026-06-08T06:20:12Z","title":"Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-27T17:30:57.001021Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2606.09076"},"observation_digest":"sha256:c388cfda9d01a33e121c52bf03f192fffb559eab071fa36e8e146e3bf852d07a","observation_id":"7808e38c-29ba-4e74-a93b-4aad4a8ebd20","resolution":{"observed_at":"2026-07-03T00:07:27.941638Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-07-15T10:53:37.186361Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.09076","last_updated":"2026-07-14T12:46:55Z","snapshot_observed_at":"2026-07-17T23:19:03.633221Z","submitted_at":"2026-06-08T06:20:12Z","title":"Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-15T10:53:37.186361Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2606.09076"},"observation_digest":"sha256:00b430c7d120a069685857aaf60edb01daa26dce2d2aa270d24a4b780167c777","observation_id":"2d25d118-c7e0-45f1-8ef5-4658c4a9af16","resolution":{"observed_at":"2026-07-15T10:53:37.186361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10527","snapshot_observed_at":"2026-08-07T05:49:45.723481Z","title":"arXiv preprint arXiv:2505.10527 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06310","last_updated":"2026-08-06T17:24:36Z","snapshot_observed_at":"2026-08-07T15:35:19.692743Z","submitted_at":"2026-08-06T17:24:36Z","title":"RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T05:49:45.723481Z"},"links":{"cited_paper":"/paper/2505.10527","citing_paper":"/paper/2608.06310"},"observation_digest":"sha256:bd3cdefb5c8978206a535f9a185138b5191c7d60aa51d364e8c77610a4bc3c8b","observation_id":"e834e349-dfe1-4c35-b6a7-699bc4d1b514","resolution":{"observed_at":"2026-08-07T05:49:45.723481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.10527/citation-record","integrity":"/paper/2505.10527/integrity","json":"/paper/2505.10527/citation-record.json","paper":"/paper/2505.10527"},"outbound":[],"paper":{"arxiv_id":"2505.10527","last_updated":"2025-05-18T17:45:31Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:44:59.690689Z","submitted_at":"2025-05-15T17:38:37Z","title":"WorldPM: Scaling Human Preference 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.10527."}