{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:2BSY6SCOZZETWRJK7P52BGKXTT","short_pith_number":"pith:2BSY6SCO","schema_version":"1.0","canonical_sha256":"d0658f484ece493b452afbfba099579cc9cc937a0742aa1ee953b3e38db80f7b","source":{"kind":"arxiv","id":"2608.05025","version":1},"attestation_state":"computed","paper":{"title":"Canonical Joint Energy-Based Model on CIFAR-10: failure modes and practical indistinguishability of Predictor-Corrector and SGLD samplers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dmytro Knopov","submitted_at":"2026-08-05T16:28:57Z","abstract_excerpt":"Joint Energy-Based Models (JEM) unify classification and generation within a single network and support out-of-distribution (OOD) detection. Canonical JEM training relies on stochastic gradient Langevin dynamics (SGLD); a theoretically motivated alternative, the Predictor-Corrector (PC) sampler, has not previously undergone a systematic replication test on the canonical model. We reproduce canonical JEM on WideResNet-28-10 without normalisation layers on two independent runs and test whether PC retains its theoretical advantage without an annealed noise schedule, across three protocols: PC rep"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.05025","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-08-05T16:28:57Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"83ee2af2f56b3f833336fda2ed5c2d9e9e6ae21e1a3be23db4f228a877e20636","abstract_canon_sha256":"4e0294f898a220ebece32933b2e1c5e178a4ae694fe6c043ea7cdd02db40cd99"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:48:04.202971Z","signature_b64":"YQ6gNNEj1F53JbT2+ipBPg//uDFvfBRwUSvpgCUOIes3YK+z8mZ8RDsniwOxrSx+W4s2v+KcDeab7k8CHK6dBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0658f484ece493b452afbfba099579cc9cc937a0742aa1ee953b3e38db80f7b","last_reissued_at":"2026-08-06T01:48:04.201518Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:48:04.201518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Canonical Joint Energy-Based Model on CIFAR-10: failure modes and practical indistinguishability of Predictor-Corrector and SGLD samplers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dmytro Knopov","submitted_at":"2026-08-05T16:28:57Z","abstract_excerpt":"Joint Energy-Based Models (JEM) unify classification and generation within a single network and support out-of-distribution (OOD) detection. Canonical JEM training relies on stochastic gradient Langevin dynamics (SGLD); a theoretically motivated alternative, the Predictor-Corrector (PC) sampler, has not previously undergone a systematic replication test on the canonical model. We reproduce canonical JEM on WideResNet-28-10 without normalisation layers on two independent runs and test whether PC retains its theoretical advantage without an annealed noise schedule, across three protocols: PC rep"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.05025","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.05025/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.05025","created_at":"2026-08-06T01:48:04.203390+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.05025v1","created_at":"2026-08-06T01:48:04.203390+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.05025","created_at":"2026-08-06T01:48:04.203390+00:00"},{"alias_kind":"pith_short_12","alias_value":"2BSY6SCOZZET","created_at":"2026-08-06T01:48:04.203390+00:00"},{"alias_kind":"pith_short_16","alias_value":"2BSY6SCOZZETWRJK","created_at":"2026-08-06T01:48:04.203390+00:00"},{"alias_kind":"pith_short_8","alias_value":"2BSY6SCO","created_at":"2026-08-06T01:48:04.203390+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT","json":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT.json","graph_json":"https://pith.science/api/pith-number/2BSY6SCOZZETWRJK7P52BGKXTT/graph.json","events_json":"https://pith.science/api/pith-number/2BSY6SCOZZETWRJK7P52BGKXTT/events.json","paper":"https://pith.science/paper/2BSY6SCO"},"agent_actions":{"view_html":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT","download_json":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT.json","view_paper":"https://pith.science/paper/2BSY6SCO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.05025&json=true","fetch_graph":"https://pith.science/api/pith-number/2BSY6SCOZZETWRJK7P52BGKXTT/graph.json","fetch_events":"https://pith.science/api/pith-number/2BSY6SCOZZETWRJK7P52BGKXTT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT/action/storage_attestation","attest_author":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT/action/author_attestation","sign_citation":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT/action/citation_signature","submit_replication":"https://pith.science/pith/2BSY6SCOZZETWRJK7P52BGKXTT/action/replication_record"}},"created_at":"2026-08-06T01:48:04.203390+00:00","updated_at":"2026-08-06T01:48:04.203390+00:00"}