{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ODR4PEDTAJAU2RASHTXXBLXTVO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"20110c226ae5cac6accd14d779a177155d1471f00a2831bd515c662e34ad2a36","cross_cats_sorted":["cs.AI","cs.CY","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-12-17T02:03:28Z","title_canon_sha256":"35c78c1e822ddca6add44b512f126ffe1fa5682c711b8f5bac7b5406174e41e9"},"schema_version":"1.0","source":{"id":"2512.15011","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.15011","created_at":"2026-07-31T01:08:56Z"},{"alias_kind":"arxiv_version","alias_value":"2512.15011v3","created_at":"2026-07-31T01:08:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.15011","created_at":"2026-07-31T01:08:56Z"},{"alias_kind":"pith_short_12","alias_value":"ODR4PEDTAJAU","created_at":"2026-07-31T01:08:56Z"},{"alias_kind":"pith_short_16","alias_value":"ODR4PEDTAJAU2RAS","created_at":"2026-07-31T01:08:56Z"},{"alias_kind":"pith_short_8","alias_value":"ODR4PEDT","created_at":"2026-07-31T01:08:56Z"}],"graph_snapshots":[{"event_id":"sha256:21b0a614035e404f4b8255729932ea458ebae948b84c2345fb9be1fb61341473","target":"graph","created_at":"2026-07-31T01:08:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2512.15011/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence (AI) increasingly generates the very content used to train future AI systems. This feedback loop can degrade model quality, reduce informational diversity, and ultimately drive knowledge collapse, i.e. a degradation to a narrow and inaccurate set of ideas. We ask: to mitigate collapse, is it better to concentrate the internet's knowledge into a handful of dominant models (referred to as an AI monoculture), or to distribute it across a diverse ecosystem of models? To study the effect of diversity on model performance, we randomly segment the fixed training data across an","authors_text":"Damian Hodel, Jevin D. West","cross_cats":["cs.AI","cs.CY","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-12-17T02:03:28Z","title":"Epistemic diversity across language models mitigates knowledge collapse"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.15011","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b3901875747913c3bf7fa8687c3d7c710cf74405773039b3759be22ddbc618b5","target":"record","created_at":"2026-07-31T01:08:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"20110c226ae5cac6accd14d779a177155d1471f00a2831bd515c662e34ad2a36","cross_cats_sorted":["cs.AI","cs.CY","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-12-17T02:03:28Z","title_canon_sha256":"35c78c1e822ddca6add44b512f126ffe1fa5682c711b8f5bac7b5406174e41e9"},"schema_version":"1.0","source":{"id":"2512.15011","kind":"arxiv","version":3}},"canonical_sha256":"70e3c7907302414d44123cef70aef3ab96ab6b539bbaf1a4b268eaf37be93e75","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70e3c7907302414d44123cef70aef3ab96ab6b539bbaf1a4b268eaf37be93e75","first_computed_at":"2026-07-31T01:08:56.688143Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:08:56.688143Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2512.15011","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3901875747913c3bf7fa8687c3d7c710cf74405773039b3759be22ddbc618b5","sha256:21b0a614035e404f4b8255729932ea458ebae948b84c2345fb9be1fb61341473"],"state_sha256":"911c62e75d83b8f718fb8f8d9c4d1706cac4fbad20d2633d360b2b21f102eb94"}