{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7AZTPJR4LLXC4XLK76IBMJS5TW","short_pith_number":"pith:7AZTPJR4","canonical_record":{"source":{"id":"2102.07074","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-14T05:24:48Z","cross_cats_sorted":[],"title_canon_sha256":"3647109755dc3dd969b79a3103319324bcd2446859a2641139f74669258783fd","abstract_canon_sha256":"ad5d7534d57bc717f6776278966e2d74f80fefac003c66e8e9c32fda6d0d9a4a"},"schema_version":"1.0"},"canonical_sha256":"f83337a63c5aee2e5d6aff9016265d9db8a9fd312091dab0e64a10f0c9024372","source":{"kind":"arxiv","id":"2102.07074","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.07074","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"arxiv_version","alias_value":"2102.07074v4","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.07074","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"pith_short_12","alias_value":"7AZTPJR4LLXC","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"pith_short_16","alias_value":"7AZTPJR4LLXC4XLK","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"pith_short_8","alias_value":"7AZTPJR4","created_at":"2026-07-05T03:39:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7AZTPJR4LLXC4XLK76IBMJS5TW","target":"record","payload":{"canonical_record":{"source":{"id":"2102.07074","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-14T05:24:48Z","cross_cats_sorted":[],"title_canon_sha256":"3647109755dc3dd969b79a3103319324bcd2446859a2641139f74669258783fd","abstract_canon_sha256":"ad5d7534d57bc717f6776278966e2d74f80fefac003c66e8e9c32fda6d0d9a4a"},"schema_version":"1.0"},"canonical_sha256":"f83337a63c5aee2e5d6aff9016265d9db8a9fd312091dab0e64a10f0c9024372","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:39:13.316336Z","signature_b64":"/j2bsHMoSEFAXoV4kt1p9Nt7t9R7f6i8ElAnqGgIMcRHsqVRriouXvPSoLhoPyFb8Pfk2T5KSIed/LwL1l0FCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f83337a63c5aee2e5d6aff9016265d9db8a9fd312091dab0e64a10f0c9024372","last_reissued_at":"2026-07-05T03:39:13.315864Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:39:13.315864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.07074","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":"2026-07-05T03:39:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fp6hkvV13QzeK+IF2C/x3DORtlH8izy7VteVI3/qnpLCiAaiGA/UkjPbyvZWQESPtgZsIT2fHnE/MPPkLoIcAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T07:19:44.189928Z"},"content_sha256":"5aa1a89ec6499c9009f5ff6a1235b4a009824d566269cd61860d7e62626fb1e1","schema_version":"1.0","event_id":"sha256:5aa1a89ec6499c9009f5ff6a1235b4a009824d566269cd61860d7e62626fb1e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7AZTPJR4LLXC4XLK76IBMJS5TW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Shiyu Chang, Yifan Jiang, Zhangyang Wang","submitted_at":"2021-02-14T05:24:48Z","abstract_excerpt":"The recent explosive interest on transformers has suggested their potential to become powerful \"universal\" models for computer vision tasks, such as classification, detection, and segmentation. While those attempts mainly study the discriminative models, we explore transformers on some more notoriously difficult vision tasks, e.g., generative adversarial networks (GANs). Our goal is to conduct the first pilot study in building a GAN completely free of convolutions, using only pure transformer-based architectures. Our vanilla GAN architecture, dubbed TransGAN, consists of a memory-friendly tran"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.07074","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/2102.07074/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":"2026-07-05T03:39:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"syy5rNRtV2pIvVroZpKVPu9J/KUsq9E4zA5qvaurProqVLeVbMQrNY15x+Mk918QUThnxooYkZonLEIZ6NawBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T07:19:44.190549Z"},"content_sha256":"1960857f0f6bb8b5482e4ab122be7b18401a1d7fe473a9e98e9b67287dd30433","schema_version":"1.0","event_id":"sha256:1960857f0f6bb8b5482e4ab122be7b18401a1d7fe473a9e98e9b67287dd30433"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7AZTPJR4LLXC4XLK76IBMJS5TW/bundle.json","state_url":"https://pith.science/pith/7AZTPJR4LLXC4XLK76IBMJS5TW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7AZTPJR4LLXC4XLK76IBMJS5TW/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":"2026-08-15T07:19:44Z","links":{"resolver":"https://pith.science/pith/7AZTPJR4LLXC4XLK76IBMJS5TW","bundle":"https://pith.science/pith/7AZTPJR4LLXC4XLK76IBMJS5TW/bundle.json","state":"https://pith.science/pith/7AZTPJR4LLXC4XLK76IBMJS5TW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7AZTPJR4LLXC4XLK76IBMJS5TW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7AZTPJR4LLXC4XLK76IBMJS5TW","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":"ad5d7534d57bc717f6776278966e2d74f80fefac003c66e8e9c32fda6d0d9a4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-14T05:24:48Z","title_canon_sha256":"3647109755dc3dd969b79a3103319324bcd2446859a2641139f74669258783fd"},"schema_version":"1.0","source":{"id":"2102.07074","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.07074","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"arxiv_version","alias_value":"2102.07074v4","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.07074","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"pith_short_12","alias_value":"7AZTPJR4LLXC","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"pith_short_16","alias_value":"7AZTPJR4LLXC4XLK","created_at":"2026-07-05T03:39:13Z"},{"alias_kind":"pith_short_8","alias_value":"7AZTPJR4","created_at":"2026-07-05T03:39:13Z"}],"graph_snapshots":[{"event_id":"sha256:1960857f0f6bb8b5482e4ab122be7b18401a1d7fe473a9e98e9b67287dd30433","target":"graph","created_at":"2026-07-05T03:39:13Z","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/2102.07074/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent explosive interest on transformers has suggested their potential to become powerful \"universal\" models for computer vision tasks, such as classification, detection, and segmentation. While those attempts mainly study the discriminative models, we explore transformers on some more notoriously difficult vision tasks, e.g., generative adversarial networks (GANs). Our goal is to conduct the first pilot study in building a GAN completely free of convolutions, using only pure transformer-based architectures. Our vanilla GAN architecture, dubbed TransGAN, consists of a memory-friendly tran","authors_text":"Shiyu Chang, Yifan Jiang, Zhangyang Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-14T05:24:48Z","title":"TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.07074","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":"sha256:5aa1a89ec6499c9009f5ff6a1235b4a009824d566269cd61860d7e62626fb1e1","target":"record","created_at":"2026-07-05T03:39:13Z","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":"ad5d7534d57bc717f6776278966e2d74f80fefac003c66e8e9c32fda6d0d9a4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-14T05:24:48Z","title_canon_sha256":"3647109755dc3dd969b79a3103319324bcd2446859a2641139f74669258783fd"},"schema_version":"1.0","source":{"id":"2102.07074","kind":"arxiv","version":4}},"canonical_sha256":"f83337a63c5aee2e5d6aff9016265d9db8a9fd312091dab0e64a10f0c9024372","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f83337a63c5aee2e5d6aff9016265d9db8a9fd312091dab0e64a10f0c9024372","first_computed_at":"2026-07-05T03:39:13.315864Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:39:13.315864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/j2bsHMoSEFAXoV4kt1p9Nt7t9R7f6i8ElAnqGgIMcRHsqVRriouXvPSoLhoPyFb8Pfk2T5KSIed/LwL1l0FCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:39:13.316336Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.07074","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5aa1a89ec6499c9009f5ff6a1235b4a009824d566269cd61860d7e62626fb1e1","sha256:1960857f0f6bb8b5482e4ab122be7b18401a1d7fe473a9e98e9b67287dd30433"],"state_sha256":"81788d2a7256eeb3d5521725012d83434c91bb0af22cae05fe2919ab6a100ac9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RPKuXc2Uc9jbXixr0fWda/fX/mqFjGZG0gnxCPxc+AbnN16disHbYFVhq0tAH7jvkfCQYo1wmMeIabj70RXGBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T07:19:44.199820Z","bundle_sha256":"7e65a1abec08e29a127b774e197957058e9d5c8615fc86d8758312c3230abcb4"}}