{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:5W4YMWSYI32O2RVAA5CQ5WE2I7","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":"5576cea52457e5fac7c6dc45f8388a39e7641f7308586b4b6e52af723f7d27db","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-19T11:34:37Z","title_canon_sha256":"a6cffa08354ff967c0db41e31e69273dae45219ca36baded2ce181ff59b5be8a"},"schema_version":"1.0","source":{"id":"1412.6296","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.6296","created_at":"2026-05-18T02:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"1412.6296v2","created_at":"2026-05-18T02:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.6296","created_at":"2026-05-18T02:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"5W4YMWSYI32O","created_at":"2026-05-18T12:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"5W4YMWSYI32O2RVA","created_at":"2026-05-18T12:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"5W4YMWSY","created_at":"2026-05-18T12:28:16Z"}],"graph_snapshots":[{"event_id":"sha256:3224a2a276e52b8422300dbda3205505bc8cce5b5ff7ee051efd19b967a20b39","target":"graph","created_at":"2026-05-18T02:19:16Z","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"},"paper":{"abstract_excerpt":"The convolutional neural networks (CNNs) have proven to be a powerful tool for discriminative learning. Recently researchers have also started to show interest in the generative aspects of CNNs in order to gain a deeper understanding of what they have learned and how to further improve them. This paper investigates generative modeling of CNNs. The main contributions include: (1) We construct a generative model for the CNN in the form of exponential tilting of a reference distribution. (2) We propose a generative gradient for pre-training CNNs by a non-parametric importance sampling scheme, whi","authors_text":"Jifeng Dai, Yang Lu, Ying-Nian Wu","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-19T11:34:37Z","title":"Generative Modeling of Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.6296","kind":"arxiv","version":2},"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":"sha256:671e4547a7bacf5b2c1f1ad5154f1b35023bcf6608bcdca4ffe0fb271c94cf5b","target":"record","created_at":"2026-05-18T02:19:16Z","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":"5576cea52457e5fac7c6dc45f8388a39e7641f7308586b4b6e52af723f7d27db","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-19T11:34:37Z","title_canon_sha256":"a6cffa08354ff967c0db41e31e69273dae45219ca36baded2ce181ff59b5be8a"},"schema_version":"1.0","source":{"id":"1412.6296","kind":"arxiv","version":2}},"canonical_sha256":"edb9865a5846f4ed46a007450ed89a47e44ff64bc6a5769575fda2f5788bf0ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"edb9865a5846f4ed46a007450ed89a47e44ff64bc6a5769575fda2f5788bf0ff","first_computed_at":"2026-05-18T02:19:16.359226Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:19:16.359226Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vaAbJucbCgISTBvx7OPkdp7HUlEcBOzJJi/Yg7gzSmxu4zHdo58iZZzg0vRAcstg8fQGTISEeHRFgibM0pNbCA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:19:16.359914Z","signed_message":"canonical_sha256_bytes"},"source_id":"1412.6296","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:671e4547a7bacf5b2c1f1ad5154f1b35023bcf6608bcdca4ffe0fb271c94cf5b","sha256:3224a2a276e52b8422300dbda3205505bc8cce5b5ff7ee051efd19b967a20b39"],"state_sha256":"ee7e9f9da49ccd55470543626b34abeb9e96be23ac5432dea703629767e1ea1e"}