{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Z3ZZ5F5CKM3BJIXU3DJ32P77I7","short_pith_number":"pith:Z3ZZ5F5C","canonical_record":{"source":{"id":"2506.20452","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-25T13:58:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3ab002d7fd2dbfc14588cf76a03a02a199e24690226ac8e1f0d8762b1f93c248","abstract_canon_sha256":"ca728c828d84330f48f5621721221d93a99fa20477d4a7bc3bfb9a157aaa2e5f"},"schema_version":"1.0"},"canonical_sha256":"cef39e97a2533614a2f4d8d3bd3fff47d0d9470be07b99e3e2c50769d062b63d","source":{"kind":"arxiv","id":"2506.20452","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.20452","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.20452v1","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.20452","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"pith_short_12","alias_value":"Z3ZZ5F5CKM3B","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"pith_short_16","alias_value":"Z3ZZ5F5CKM3BJIXU","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"pith_short_8","alias_value":"Z3ZZ5F5C","created_at":"2026-07-05T11:27:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Z3ZZ5F5CKM3BJIXU3DJ32P77I7","target":"record","payload":{"canonical_record":{"source":{"id":"2506.20452","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-25T13:58:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3ab002d7fd2dbfc14588cf76a03a02a199e24690226ac8e1f0d8762b1f93c248","abstract_canon_sha256":"ca728c828d84330f48f5621721221d93a99fa20477d4a7bc3bfb9a157aaa2e5f"},"schema_version":"1.0"},"canonical_sha256":"cef39e97a2533614a2f4d8d3bd3fff47d0d9470be07b99e3e2c50769d062b63d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:05.945158Z","signature_b64":"LJeIpbxUFwJ0qIbsUFxSCuI9y5jaNqPbDw8dIjvcRQ1kWjzFmYfuGm9fjQ3UvthSiG97iE39T158d2duKqpXCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cef39e97a2533614a2f4d8d3bd3fff47d0d9470be07b99e3e2c50769d062b63d","last_reissued_at":"2026-07-05T11:27:05.944556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:05.944556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.20452","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":"2026-07-05T11:27:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dxorOWrnWGrGtqWG7iQH/YJjYKCdWvtWPz1NaoCCDc+XC4RZT1rH4WpdoZTLSL4FvSuKJ8N/iQx/mPKB4B6eCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:35:08.133384Z"},"content_sha256":"b3f82960cdc51dae4676188319b931bdfda1e04c4ddac4dbcc5aff8525b63481","schema_version":"1.0","event_id":"sha256:b3f82960cdc51dae4676188319b931bdfda1e04c4ddac4dbcc5aff8525b63481"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Z3ZZ5F5CKM3BJIXU3DJ32P77I7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Farnood Salehi, Romann M. Weber, Seyedmorteza Sadat, Tobias Vontobel","submitted_at":"2025-06-25T13:58:37Z","abstract_excerpt":"Diffusion models have emerged as the leading approach for image synthesis, demonstrating exceptional photorealism and diversity. However, training diffusion models at high resolutions remains computationally prohibitive, and existing zero-shot generation techniques for synthesizing images beyond training resolutions often produce artifacts, including object duplication and spatial incoherence. In this paper, we introduce HiWave, a training-free, zero-shot approach that substantially enhances visual fidelity and structural coherence in ultra-high-resolution image synthesis using pretrained diff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.20452","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/2506.20452/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":"2026-07-05T11:27:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U0x4coIe42plo/iu3U2F8PJgLE8OR2Yr1kxu578ibnPUGHN6+4T0Furu1NkgNgrTUy0VYHSmSNqN7l8UltS+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:35:08.134112Z"},"content_sha256":"916216fc8987bd9c14d47bbb6aa74d1950dcdb993d6cd7d69d4541b584d5fcf9","schema_version":"1.0","event_id":"sha256:916216fc8987bd9c14d47bbb6aa74d1950dcdb993d6cd7d69d4541b584d5fcf9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z3ZZ5F5CKM3BJIXU3DJ32P77I7/bundle.json","state_url":"https://pith.science/pith/Z3ZZ5F5CKM3BJIXU3DJ32P77I7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z3ZZ5F5CKM3BJIXU3DJ32P77I7/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":"2026-07-07T07:35:08Z","links":{"resolver":"https://pith.science/pith/Z3ZZ5F5CKM3BJIXU3DJ32P77I7","bundle":"https://pith.science/pith/Z3ZZ5F5CKM3BJIXU3DJ32P77I7/bundle.json","state":"https://pith.science/pith/Z3ZZ5F5CKM3BJIXU3DJ32P77I7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z3ZZ5F5CKM3BJIXU3DJ32P77I7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z3ZZ5F5CKM3BJIXU3DJ32P77I7","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":"ca728c828d84330f48f5621721221d93a99fa20477d4a7bc3bfb9a157aaa2e5f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-25T13:58:37Z","title_canon_sha256":"3ab002d7fd2dbfc14588cf76a03a02a199e24690226ac8e1f0d8762b1f93c248"},"schema_version":"1.0","source":{"id":"2506.20452","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.20452","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.20452v1","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.20452","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"pith_short_12","alias_value":"Z3ZZ5F5CKM3B","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"pith_short_16","alias_value":"Z3ZZ5F5CKM3BJIXU","created_at":"2026-07-05T11:27:05Z"},{"alias_kind":"pith_short_8","alias_value":"Z3ZZ5F5C","created_at":"2026-07-05T11:27:05Z"}],"graph_snapshots":[{"event_id":"sha256:916216fc8987bd9c14d47bbb6aa74d1950dcdb993d6cd7d69d4541b584d5fcf9","target":"graph","created_at":"2026-07-05T11:27:05Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2506.20452/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have emerged as the leading approach for image synthesis, demonstrating exceptional photorealism and diversity. However, training diffusion models at high resolutions remains computationally prohibitive, and existing zero-shot generation techniques for synthesizing images beyond training resolutions often produce artifacts, including object duplication and spatial incoherence. In this paper, we introduce HiWave, a training-free, zero-shot approach that substantially enhances visual fidelity and structural coherence in ultra-high-resolution image synthesis using pretrained diff","authors_text":"Farnood Salehi, Romann M. Weber, Seyedmorteza Sadat, Tobias Vontobel","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-25T13:58:37Z","title":"HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.20452","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:b3f82960cdc51dae4676188319b931bdfda1e04c4ddac4dbcc5aff8525b63481","target":"record","created_at":"2026-07-05T11:27:05Z","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":"ca728c828d84330f48f5621721221d93a99fa20477d4a7bc3bfb9a157aaa2e5f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-25T13:58:37Z","title_canon_sha256":"3ab002d7fd2dbfc14588cf76a03a02a199e24690226ac8e1f0d8762b1f93c248"},"schema_version":"1.0","source":{"id":"2506.20452","kind":"arxiv","version":1}},"canonical_sha256":"cef39e97a2533614a2f4d8d3bd3fff47d0d9470be07b99e3e2c50769d062b63d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cef39e97a2533614a2f4d8d3bd3fff47d0d9470be07b99e3e2c50769d062b63d","first_computed_at":"2026-07-05T11:27:05.944556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:27:05.944556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LJeIpbxUFwJ0qIbsUFxSCuI9y5jaNqPbDw8dIjvcRQ1kWjzFmYfuGm9fjQ3UvthSiG97iE39T158d2duKqpXCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:27:05.945158Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.20452","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3f82960cdc51dae4676188319b931bdfda1e04c4ddac4dbcc5aff8525b63481","sha256:916216fc8987bd9c14d47bbb6aa74d1950dcdb993d6cd7d69d4541b584d5fcf9"],"state_sha256":"dcb826f6ecfcdac42328b4dc09677282078c4304ef36154ace5a69e17e1bc553"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pLPfDJj6d8APVl4TnJ1AAycE1gWg1I0tQG4C3S4QiePVCM7Y9K9hgGcGl/lgweYN9aVC6S6Ph88Ny2NVRiQeCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:35:08.137246Z","bundle_sha256":"9bd44a68652c7bd43e4b785b76f9cc5c92a08554ada7bc02bb646cedc83f74e7"}}