{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:722GZIU6NXXMHINKKT4QCWSC4X","short_pith_number":"pith:722GZIU6","canonical_record":{"source":{"id":"2103.01209","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T18:54:04Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"409e8c6c00a8c33a869795e4412b2bb277585ad290ebb63ea97560aa7e6b140a","abstract_canon_sha256":"9cfd3e49c683e5c4bc61350df15c93f6b8f459e58acaa5536fd2e46780b576ba"},"schema_version":"1.0"},"canonical_sha256":"feb46ca29e6deec3a1aa54f9015a42e5ca9011d5f51b13a44ed16cf87c20c445","source":{"kind":"arxiv","id":"2103.01209","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.01209","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"arxiv_version","alias_value":"2103.01209v4","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.01209","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"pith_short_12","alias_value":"722GZIU6NXXM","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"pith_short_16","alias_value":"722GZIU6NXXMHINK","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"pith_short_8","alias_value":"722GZIU6","created_at":"2026-07-05T04:09:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:722GZIU6NXXMHINKKT4QCWSC4X","target":"record","payload":{"canonical_record":{"source":{"id":"2103.01209","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T18:54:04Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"409e8c6c00a8c33a869795e4412b2bb277585ad290ebb63ea97560aa7e6b140a","abstract_canon_sha256":"9cfd3e49c683e5c4bc61350df15c93f6b8f459e58acaa5536fd2e46780b576ba"},"schema_version":"1.0"},"canonical_sha256":"feb46ca29e6deec3a1aa54f9015a42e5ca9011d5f51b13a44ed16cf87c20c445","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:34.737833Z","signature_b64":"KANXNWEOUW2XzcecxjiwbuyTHx9iuYjtZ1bCxsJkbVdlz68lABsZmaPMyH/NstUXw7svSRO4zRfLlq1p2ZGDBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"feb46ca29e6deec3a1aa54f9015a42e5ca9011d5f51b13a44ed16cf87c20c445","last_reissued_at":"2026-07-05T04:09:34.737342Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:34.737342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.01209","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":"2026-07-05T04:09:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5r+zZtOU/liH6S7MdjPl1Lokkwxsr/xO2rLqKaqt2vKc5DE9IdPoL9BstG3drviKOclZXxt+RJ8mSIHIqiPTCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:57:12.415131Z"},"content_sha256":"63d976631b1109824597e01bc74cd6734002954a2407563f453889f14e619cbc","schema_version":"1.0","event_id":"sha256:63d976631b1109824597e01bc74cd6734002954a2407563f453889f14e619cbc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:722GZIU6NXXMHINKKT4QCWSC4X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Adversarial Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.CV","authors_text":"C. Lawrence Zitnick, Drew A. Hudson","submitted_at":"2021-03-01T18:54:04Z","abstract_excerpt":"We introduce the GANformer, a novel and efficient type of transformer, and explore it for the task of visual generative modeling. The network employs a bipartite structure that enables long-range interactions across the image, while maintaining computation of linear efficiency, that can readily scale to high-resolution synthesis. It iteratively propagates information from a set of latent variables to the evolving visual features and vice versa, to support the refinement of each in light of the other and encourage the emergence of compositional representations of objects and scenes. In contrast"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.01209","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2103.01209/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:09:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hwq3+yw0dLbjD/NsTv21BVtw/SgDu5bf3coLqZeQZO/HSHyQardZoQ9EPtEFHMXagzoOgNyB+rEGKRfzNiSuCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:57:12.415654Z"},"content_sha256":"ef85da9fb886064add9a5e4776dfc3520b8e2c73c65187440778b0e0560b79ab","schema_version":"1.0","event_id":"sha256:ef85da9fb886064add9a5e4776dfc3520b8e2c73c65187440778b0e0560b79ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/722GZIU6NXXMHINKKT4QCWSC4X/bundle.json","state_url":"https://pith.science/pith/722GZIU6NXXMHINKKT4QCWSC4X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/722GZIU6NXXMHINKKT4QCWSC4X/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":"2026-08-09T21:57:12Z","links":{"resolver":"https://pith.science/pith/722GZIU6NXXMHINKKT4QCWSC4X","bundle":"https://pith.science/pith/722GZIU6NXXMHINKKT4QCWSC4X/bundle.json","state":"https://pith.science/pith/722GZIU6NXXMHINKKT4QCWSC4X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/722GZIU6NXXMHINKKT4QCWSC4X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:722GZIU6NXXMHINKKT4QCWSC4X","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":"9cfd3e49c683e5c4bc61350df15c93f6b8f459e58acaa5536fd2e46780b576ba","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T18:54:04Z","title_canon_sha256":"409e8c6c00a8c33a869795e4412b2bb277585ad290ebb63ea97560aa7e6b140a"},"schema_version":"1.0","source":{"id":"2103.01209","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.01209","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"arxiv_version","alias_value":"2103.01209v4","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.01209","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"pith_short_12","alias_value":"722GZIU6NXXM","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"pith_short_16","alias_value":"722GZIU6NXXMHINK","created_at":"2026-07-05T04:09:34Z"},{"alias_kind":"pith_short_8","alias_value":"722GZIU6","created_at":"2026-07-05T04:09:34Z"}],"graph_snapshots":[{"event_id":"sha256:ef85da9fb886064add9a5e4776dfc3520b8e2c73c65187440778b0e0560b79ab","target":"graph","created_at":"2026-07-05T04:09:34Z","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/2103.01209/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the GANformer, a novel and efficient type of transformer, and explore it for the task of visual generative modeling. The network employs a bipartite structure that enables long-range interactions across the image, while maintaining computation of linear efficiency, that can readily scale to high-resolution synthesis. It iteratively propagates information from a set of latent variables to the evolving visual features and vice versa, to support the refinement of each in light of the other and encourage the emergence of compositional representations of objects and scenes. In contrast","authors_text":"C. Lawrence Zitnick, Drew A. Hudson","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T18:54:04Z","title":"Generative Adversarial Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.01209","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":"sha256:63d976631b1109824597e01bc74cd6734002954a2407563f453889f14e619cbc","target":"record","created_at":"2026-07-05T04:09:34Z","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":"9cfd3e49c683e5c4bc61350df15c93f6b8f459e58acaa5536fd2e46780b576ba","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T18:54:04Z","title_canon_sha256":"409e8c6c00a8c33a869795e4412b2bb277585ad290ebb63ea97560aa7e6b140a"},"schema_version":"1.0","source":{"id":"2103.01209","kind":"arxiv","version":4}},"canonical_sha256":"feb46ca29e6deec3a1aa54f9015a42e5ca9011d5f51b13a44ed16cf87c20c445","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"feb46ca29e6deec3a1aa54f9015a42e5ca9011d5f51b13a44ed16cf87c20c445","first_computed_at":"2026-07-05T04:09:34.737342Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:34.737342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KANXNWEOUW2XzcecxjiwbuyTHx9iuYjtZ1bCxsJkbVdlz68lABsZmaPMyH/NstUXw7svSRO4zRfLlq1p2ZGDBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:34.737833Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.01209","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63d976631b1109824597e01bc74cd6734002954a2407563f453889f14e619cbc","sha256:ef85da9fb886064add9a5e4776dfc3520b8e2c73c65187440778b0e0560b79ab"],"state_sha256":"f620fd820b0025fd808fd3177014f88459048b414c7c018bdfc286a8fef9ab8d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L3VL+u63cPdZFC3hwaJSzJeZMISznjaOXsPLxd5cyq6GYbRcMpYYzDp6PZj68yMciWzTkftyUqoAqhmKPCiZAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:57:12.419993Z","bundle_sha256":"22cb81b860605acacd9df8be227aa90d8da4be5056d976428bb9dd9ade86b553"}}