{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:TZRUWCLYGA5U2JJMGANAUXVAL6","short_pith_number":"pith:TZRUWCLY","canonical_record":{"source":{"id":"1612.04357","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-13T20:48:58Z","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"title_canon_sha256":"2ba0504611225125446eedb0d590ce35148ae2252794d6f225810f6a022ada5e","abstract_canon_sha256":"87cf18261b2f9af88693e954a212dc826b33f3d5498bdc04ac0cf4cd942f314a"},"schema_version":"1.0"},"canonical_sha256":"9e634b0978303b4d252c301a0a5ea05fa0eb6e49544cfdc8d3294aef1720ec5e","source":{"kind":"arxiv","id":"1612.04357","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.04357","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"arxiv_version","alias_value":"1612.04357v4","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.04357","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"pith_short_12","alias_value":"TZRUWCLYGA5U","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"TZRUWCLYGA5U2JJM","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"TZRUWCLY","created_at":"2026-05-18T12:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:TZRUWCLYGA5U2JJMGANAUXVAL6","target":"record","payload":{"canonical_record":{"source":{"id":"1612.04357","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-13T20:48:58Z","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"title_canon_sha256":"2ba0504611225125446eedb0d590ce35148ae2252794d6f225810f6a022ada5e","abstract_canon_sha256":"87cf18261b2f9af88693e954a212dc826b33f3d5498bdc04ac0cf4cd942f314a"},"schema_version":"1.0"},"canonical_sha256":"9e634b0978303b4d252c301a0a5ea05fa0eb6e49544cfdc8d3294aef1720ec5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:31.456111Z","signature_b64":"4EyFY2Vxt4jOJmB1Z3RsHnBG3O+4xqLyEk3Rd7h3bYU+KxwI4CzKJUNyYVLCVDvMZpVlBSvYkwhnqwcdZPhADQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e634b0978303b4d252c301a0a5ea05fa0eb6e49544cfdc8d3294aef1720ec5e","last_reissued_at":"2026-05-18T00:46:31.455525Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:31.455525Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.04357","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MWT5lM1chjWdmoJx5QjPp7X1Uu6veqWzydkz/DAHhJOTJE7clpPb4qAznVemT7pfHOjq2c7/SJoNCq64XjghCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:37:33.302110Z"},"content_sha256":"6848970cfba41a8a7f94a303552932af9867bf58b3a68dce7d2156339d0ecd83","schema_version":"1.0","event_id":"sha256:6848970cfba41a8a7f94a303552932af9867bf58b3a68dce7d2156339d0ecd83"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:TZRUWCLYGA5U2JJMGANAUXVAL6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stacked Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE","stat.ML"],"primary_cat":"cs.CV","authors_text":"John Hopcroft, Omid Poursaeed, Serge Belongie, Xun Huang, Yixuan Li","submitted_at":"2016-12-13T20:48:58Z","abstract_excerpt":"In this paper, we propose a novel generative model named Stacked Generative Adversarial Networks (SGAN), which is trained to invert the hierarchical representations of a bottom-up discriminative network. Our model consists of a top-down stack of GANs, each learned to generate lower-level representations conditioned on higher-level representations. A representation discriminator is introduced at each feature hierarchy to encourage the representation manifold of the generator to align with that of the bottom-up discriminative network, leveraging the powerful discriminative representations to gui"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.04357","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FhSzfhFdn5qzhvSRYf8+65qnFnvvZuC3+AqbUc7JF7aL63iSQDDVfZ8CjeusDEKd8b1DdSjpeMpDFascJuN3Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:37:33.302469Z"},"content_sha256":"55ac65b2b53360a1d96b638a4bac6459c0cb6e65563e599e5277065f2a73f056","schema_version":"1.0","event_id":"sha256:55ac65b2b53360a1d96b638a4bac6459c0cb6e65563e599e5277065f2a73f056"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TZRUWCLYGA5U2JJMGANAUXVAL6/bundle.json","state_url":"https://pith.science/pith/TZRUWCLYGA5U2JJMGANAUXVAL6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TZRUWCLYGA5U2JJMGANAUXVAL6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T09:37:33Z","links":{"resolver":"https://pith.science/pith/TZRUWCLYGA5U2JJMGANAUXVAL6","bundle":"https://pith.science/pith/TZRUWCLYGA5U2JJMGANAUXVAL6/bundle.json","state":"https://pith.science/pith/TZRUWCLYGA5U2JJMGANAUXVAL6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TZRUWCLYGA5U2JJMGANAUXVAL6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:TZRUWCLYGA5U2JJMGANAUXVAL6","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":"87cf18261b2f9af88693e954a212dc826b33f3d5498bdc04ac0cf4cd942f314a","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-13T20:48:58Z","title_canon_sha256":"2ba0504611225125446eedb0d590ce35148ae2252794d6f225810f6a022ada5e"},"schema_version":"1.0","source":{"id":"1612.04357","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.04357","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"arxiv_version","alias_value":"1612.04357v4","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.04357","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"pith_short_12","alias_value":"TZRUWCLYGA5U","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"TZRUWCLYGA5U2JJM","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"TZRUWCLY","created_at":"2026-05-18T12:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:55ac65b2b53360a1d96b638a4bac6459c0cb6e65563e599e5277065f2a73f056","target":"graph","created_at":"2026-05-18T00:46:31Z","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":"In this paper, we propose a novel generative model named Stacked Generative Adversarial Networks (SGAN), which is trained to invert the hierarchical representations of a bottom-up discriminative network. Our model consists of a top-down stack of GANs, each learned to generate lower-level representations conditioned on higher-level representations. A representation discriminator is introduced at each feature hierarchy to encourage the representation manifold of the generator to align with that of the bottom-up discriminative network, leveraging the powerful discriminative representations to gui","authors_text":"John Hopcroft, Omid Poursaeed, Serge Belongie, Xun Huang, Yixuan Li","cross_cats":["cs.LG","cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-13T20:48:58Z","title":"Stacked Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.04357","kind":"arxiv","version":4},"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":"sha256:6848970cfba41a8a7f94a303552932af9867bf58b3a68dce7d2156339d0ecd83","target":"record","created_at":"2026-05-18T00:46:31Z","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":"87cf18261b2f9af88693e954a212dc826b33f3d5498bdc04ac0cf4cd942f314a","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-13T20:48:58Z","title_canon_sha256":"2ba0504611225125446eedb0d590ce35148ae2252794d6f225810f6a022ada5e"},"schema_version":"1.0","source":{"id":"1612.04357","kind":"arxiv","version":4}},"canonical_sha256":"9e634b0978303b4d252c301a0a5ea05fa0eb6e49544cfdc8d3294aef1720ec5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e634b0978303b4d252c301a0a5ea05fa0eb6e49544cfdc8d3294aef1720ec5e","first_computed_at":"2026-05-18T00:46:31.455525Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:31.455525Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4EyFY2Vxt4jOJmB1Z3RsHnBG3O+4xqLyEk3Rd7h3bYU+KxwI4CzKJUNyYVLCVDvMZpVlBSvYkwhnqwcdZPhADQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:31.456111Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.04357","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6848970cfba41a8a7f94a303552932af9867bf58b3a68dce7d2156339d0ecd83","sha256:55ac65b2b53360a1d96b638a4bac6459c0cb6e65563e599e5277065f2a73f056"],"state_sha256":"9e336f9c5e1f04e3319d48f8fb0b293a3127c4ac3d3769427d4a4d9bf4758540"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5FriORoiKAIbH+M7V4LuDr6CilN3vZlcEzzWGvg7KYAnUTfmDKBgW49kR6yj+onF95r4RU9O352XdsfZz2NkAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T09:37:33.304335Z","bundle_sha256":"efeac9f6fe9492d84e1e4cc0075c10a601f20a9f647c401794e377aed786ddc1"}}