{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:G47K24ACLLE2OVY3UZXT2CVBHG","short_pith_number":"pith:G47K24AC","canonical_record":{"source":{"id":"2403.12963","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T17:59:33Z","cross_cats_sorted":[],"title_canon_sha256":"fb43a994fd3a8a06c4c358c63dc4854f830bae305fbfc0a13de30bd4f8e95191","abstract_canon_sha256":"24488e157e4cfbcb724f34b697eb906c2ff72c2160aa0dcfffc080bcf88c100d"},"schema_version":"1.0"},"canonical_sha256":"373ead70025ac9a7571ba66f3d0aa13986b947dbf7e23e426c5c2d3eb8a1102d","source":{"kind":"arxiv","id":"2403.12963","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12963","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12963v1","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12963","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"pith_short_12","alias_value":"G47K24ACLLE2","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"pith_short_16","alias_value":"G47K24ACLLE2OVY3","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"pith_short_8","alias_value":"G47K24AC","created_at":"2026-07-05T07:58:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:G47K24ACLLE2OVY3UZXT2CVBHG","target":"record","payload":{"canonical_record":{"source":{"id":"2403.12963","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T17:59:33Z","cross_cats_sorted":[],"title_canon_sha256":"fb43a994fd3a8a06c4c358c63dc4854f830bae305fbfc0a13de30bd4f8e95191","abstract_canon_sha256":"24488e157e4cfbcb724f34b697eb906c2ff72c2160aa0dcfffc080bcf88c100d"},"schema_version":"1.0"},"canonical_sha256":"373ead70025ac9a7571ba66f3d0aa13986b947dbf7e23e426c5c2d3eb8a1102d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:58:10.036778Z","signature_b64":"cMiFhf/Z+7P2rrORecTa2pdZoJI9YQhbn8c36qbL3RTEJzRVycb1o8rR4dE1bzzPpmrYPd+X4QCXR1iiZuzPAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"373ead70025ac9a7571ba66f3d0aa13986b947dbf7e23e426c5c2d3eb8a1102d","last_reissued_at":"2026-07-05T07:58:10.036271Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:58:10.036271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.12963","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:58:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0fozwsEKK89nbythUVB+ayvexJcwr7vXuq35afXi9r9BZ9hgx5ZApLU8SxyPf43zP50bj5mZXyE3B/LpXmhxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:38:50.031641Z"},"content_sha256":"f40286cf5f9b0a6a7856ac48255e5f62bde84c31b4018673e43fb2d3dee9d95f","schema_version":"1.0","event_id":"sha256:f40286cf5f9b0a6a7856ac48255e5f62bde84c31b4018673e43fb2d3dee9d95f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:G47K24ACLLE2OVY3UZXT2CVBHG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aiping Zhang, Guanglu Song, Hongsheng Li, LinJiang Huang, Rongyao Fang, Si Liu, Yu Liu","submitted_at":"2024-03-19T17:59:33Z","abstract_excerpt":"In this study, we delve into the generation of high-resolution images from pre-trained diffusion models, addressing persistent challenges, such as repetitive patterns and structural distortions, that emerge when models are applied beyond their trained resolutions. To address this issue, we introduce an innovative, training-free approach FouriScale from the perspective of frequency domain analysis. We replace the original convolutional layers in pre-trained diffusion models by incorporating a dilation technique along with a low-pass operation, intending to achieve structural consistency and sca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12963","kind":"arxiv","version":1},"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/2403.12963/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":"2026-07-05T07:58:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KoOhZRSHvViobJjaDJsiK6JqBqQk48/Ps6pn/FH1kcrl+9LdSQv7RHrwVpuS+b8vij3yO431dTiNiHhXyKsVCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:38:50.032127Z"},"content_sha256":"5f3b2eefb327c791b5e63e2cb0143421042879d2819970fb4b66068455f638c4","schema_version":"1.0","event_id":"sha256:5f3b2eefb327c791b5e63e2cb0143421042879d2819970fb4b66068455f638c4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G47K24ACLLE2OVY3UZXT2CVBHG/bundle.json","state_url":"https://pith.science/pith/G47K24ACLLE2OVY3UZXT2CVBHG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G47K24ACLLE2OVY3UZXT2CVBHG/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":"2026-07-07T11:38:50Z","links":{"resolver":"https://pith.science/pith/G47K24ACLLE2OVY3UZXT2CVBHG","bundle":"https://pith.science/pith/G47K24ACLLE2OVY3UZXT2CVBHG/bundle.json","state":"https://pith.science/pith/G47K24ACLLE2OVY3UZXT2CVBHG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G47K24ACLLE2OVY3UZXT2CVBHG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:G47K24ACLLE2OVY3UZXT2CVBHG","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":"24488e157e4cfbcb724f34b697eb906c2ff72c2160aa0dcfffc080bcf88c100d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T17:59:33Z","title_canon_sha256":"fb43a994fd3a8a06c4c358c63dc4854f830bae305fbfc0a13de30bd4f8e95191"},"schema_version":"1.0","source":{"id":"2403.12963","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12963","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12963v1","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12963","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"pith_short_12","alias_value":"G47K24ACLLE2","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"pith_short_16","alias_value":"G47K24ACLLE2OVY3","created_at":"2026-07-05T07:58:10Z"},{"alias_kind":"pith_short_8","alias_value":"G47K24AC","created_at":"2026-07-05T07:58:10Z"}],"graph_snapshots":[{"event_id":"sha256:5f3b2eefb327c791b5e63e2cb0143421042879d2819970fb4b66068455f638c4","target":"graph","created_at":"2026-07-05T07:58:10Z","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/2403.12963/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we delve into the generation of high-resolution images from pre-trained diffusion models, addressing persistent challenges, such as repetitive patterns and structural distortions, that emerge when models are applied beyond their trained resolutions. To address this issue, we introduce an innovative, training-free approach FouriScale from the perspective of frequency domain analysis. We replace the original convolutional layers in pre-trained diffusion models by incorporating a dilation technique along with a low-pass operation, intending to achieve structural consistency and sca","authors_text":"Aiping Zhang, Guanglu Song, Hongsheng Li, LinJiang Huang, Rongyao Fang, Si Liu, Yu Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T17:59:33Z","title":"FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12963","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:f40286cf5f9b0a6a7856ac48255e5f62bde84c31b4018673e43fb2d3dee9d95f","target":"record","created_at":"2026-07-05T07:58:10Z","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":"24488e157e4cfbcb724f34b697eb906c2ff72c2160aa0dcfffc080bcf88c100d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T17:59:33Z","title_canon_sha256":"fb43a994fd3a8a06c4c358c63dc4854f830bae305fbfc0a13de30bd4f8e95191"},"schema_version":"1.0","source":{"id":"2403.12963","kind":"arxiv","version":1}},"canonical_sha256":"373ead70025ac9a7571ba66f3d0aa13986b947dbf7e23e426c5c2d3eb8a1102d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"373ead70025ac9a7571ba66f3d0aa13986b947dbf7e23e426c5c2d3eb8a1102d","first_computed_at":"2026-07-05T07:58:10.036271Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:58:10.036271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cMiFhf/Z+7P2rrORecTa2pdZoJI9YQhbn8c36qbL3RTEJzRVycb1o8rR4dE1bzzPpmrYPd+X4QCXR1iiZuzPAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:58:10.036778Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.12963","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f40286cf5f9b0a6a7856ac48255e5f62bde84c31b4018673e43fb2d3dee9d95f","sha256:5f3b2eefb327c791b5e63e2cb0143421042879d2819970fb4b66068455f638c4"],"state_sha256":"d28c7c715f4e775e9391ca1d629d5e1213098e12f8ba136d289b676f1777c21f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vdiTqOf07n3tNlGuNQvTrzMMiqz0vB8oQXu3RlZbJAq60PDj/BDxq72StewdKt1NacbRFpRQO24MJr26ZcYmBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:38:50.034158Z","bundle_sha256":"94d5f24af02aba6703874356e04aec041ac481401f61b882eee6701c828b9bbc"}}