{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:ABK7MYDKIAS6MZRJ3U6TQUPITI","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":"1a4dca436c1560d17b5a0c57e1e9ee0a88c7f7dbeef5353e0fb8278ff00c098e","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-23T03:35:31Z","title_canon_sha256":"a44fde1b997dd961c3c2909de0ab6eae21059994f4ac373d9924f9621e3cefd6"},"schema_version":"1.0","source":{"id":"1305.5306","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.5306","created_at":"2026-05-18T03:25:05Z"},{"alias_kind":"arxiv_version","alias_value":"1305.5306v1","created_at":"2026-05-18T03:25:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.5306","created_at":"2026-05-18T03:25:05Z"},{"alias_kind":"pith_short_12","alias_value":"ABK7MYDKIAS6","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"ABK7MYDKIAS6MZRJ","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"ABK7MYDK","created_at":"2026-05-18T12:27:38Z"}],"graph_snapshots":[{"event_id":"sha256:e2156206ce38dc34971003cd550b47006a502f1d764cd745d764d3fe04910ec8","target":"graph","created_at":"2026-05-18T03:25:05Z","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":"Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the Document Neural Autoregressive Distribution Estimator (DocNADE) was proposed and demonstrated state-of-the-art performance for document modeling. In this work, we show how to successfully apply and extend this model to the context of visual scene modeling. Specifically, we propose SupDocNADE, a supervised extension of DocNADE, that increases the discriminative power of the hidden topic features by incorporating labe","authors_text":"Hugo Larochelle, Yin Zheng, Yu-Jin Zhang","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-23T03:35:31Z","title":"A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.5306","kind":"arxiv","version":1},"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":"sha256:888e5624b1aaee4676e8977ddef22af5df120473abe2680fae5d9b7a49ef961c","target":"record","created_at":"2026-05-18T03:25:05Z","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":"1a4dca436c1560d17b5a0c57e1e9ee0a88c7f7dbeef5353e0fb8278ff00c098e","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-23T03:35:31Z","title_canon_sha256":"a44fde1b997dd961c3c2909de0ab6eae21059994f4ac373d9924f9621e3cefd6"},"schema_version":"1.0","source":{"id":"1305.5306","kind":"arxiv","version":1}},"canonical_sha256":"0055f6606a4025e66629dd3d3851e89a0b56877cd6512fd13b5be3de6c6cd4a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0055f6606a4025e66629dd3d3851e89a0b56877cd6512fd13b5be3de6c6cd4a0","first_computed_at":"2026-05-18T03:25:05.170845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:25:05.170845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tydeasLikbp2A6T4OqS5qXl4rPkeFvnvin74TXIY8yiKGbLTiv9Xbg+2qPSkVbg/+cIvx4TcCEdwsDHDnxdJCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:25:05.171529Z","signed_message":"canonical_sha256_bytes"},"source_id":"1305.5306","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:888e5624b1aaee4676e8977ddef22af5df120473abe2680fae5d9b7a49ef961c","sha256:e2156206ce38dc34971003cd550b47006a502f1d764cd745d764d3fe04910ec8"],"state_sha256":"b81b734bd0c0744a9e88e31f6e34fd1fae6c7e0dbc1697974eea9abdd1271558"}