{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:PCBL6O5AW3J73UFFOCFQ5PRUN2","short_pith_number":"pith:PCBL6O5A","schema_version":"1.0","canonical_sha256":"7882bf3ba0b6d3fdd0a5708b0ebe346eaae4e631c761530f4890361e8170b77e","source":{"kind":"arxiv","id":"2506.21452","version":1},"attestation_state":"computed","paper":{"title":"Rethinking Oversaturation in Classifier-Free Guidance via Low Frequency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanjiang Lai, Kaiyu Song","submitted_at":"2025-06-26T16:34:00Z","abstract_excerpt":"Classifier-free guidance (CFG) succeeds in condition diffusion models that use a guidance scale to balance the influence of conditional and unconditional terms. A high guidance scale is used to enhance the performance of the conditional term. However, the high guidance scale often results in oversaturation and unrealistic artifacts. In this paper, we introduce a new perspective based on low-frequency signals, identifying the accumulation of redundant information in these signals as the key factor behind oversaturation and unrealistic artifacts. Building on this insight, we propose low-frequenc"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2506.21452","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T16:34:00Z","cross_cats_sorted":[],"title_canon_sha256":"02c935bcfc2119913c5c8a6b0ed63c2c2fd64d57e7f86d7560371521cd183ddc","abstract_canon_sha256":"c9316a39264b2d66e61bf703ad8678293d2f72f2c479e64522a557449358e5a4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:46.118248Z","signature_b64":"YVZlGvUGvQZ8XTDGISTluQf4UZdw7R+g4C4SOkoyfpxUTlg504kztSGvONlTk1X5D/Pu4MYzyg0IYXa983cGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7882bf3ba0b6d3fdd0a5708b0ebe346eaae4e631c761530f4890361e8170b77e","last_reissued_at":"2026-07-05T11:27:46.117719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:46.117719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rethinking Oversaturation in Classifier-Free Guidance via Low Frequency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanjiang Lai, Kaiyu Song","submitted_at":"2025-06-26T16:34:00Z","abstract_excerpt":"Classifier-free guidance (CFG) succeeds in condition diffusion models that use a guidance scale to balance the influence of conditional and unconditional terms. A high guidance scale is used to enhance the performance of the conditional term. However, the high guidance scale often results in oversaturation and unrealistic artifacts. In this paper, we introduce a new perspective based on low-frequency signals, identifying the accumulation of redundant information in these signals as the key factor behind oversaturation and unrealistic artifacts. Building on this insight, we propose low-frequenc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21452","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/2506.21452/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.21452","created_at":"2026-07-05T11:27:46.117775+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.21452v1","created_at":"2026-07-05T11:27:46.117775+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21452","created_at":"2026-07-05T11:27:46.117775+00:00"},{"alias_kind":"pith_short_12","alias_value":"PCBL6O5AW3J7","created_at":"2026-07-05T11:27:46.117775+00:00"},{"alias_kind":"pith_short_16","alias_value":"PCBL6O5AW3J73UFF","created_at":"2026-07-05T11:27:46.117775+00:00"},{"alias_kind":"pith_short_8","alias_value":"PCBL6O5A","created_at":"2026-07-05T11:27:46.117775+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2508.21072","citing_title":"First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge","ref_index":52,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2","json":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2.json","graph_json":"https://pith.science/api/pith-number/PCBL6O5AW3J73UFFOCFQ5PRUN2/graph.json","events_json":"https://pith.science/api/pith-number/PCBL6O5AW3J73UFFOCFQ5PRUN2/events.json","paper":"https://pith.science/paper/PCBL6O5A"},"agent_actions":{"view_html":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2","download_json":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2.json","view_paper":"https://pith.science/paper/PCBL6O5A","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.21452&json=true","fetch_graph":"https://pith.science/api/pith-number/PCBL6O5AW3J73UFFOCFQ5PRUN2/graph.json","fetch_events":"https://pith.science/api/pith-number/PCBL6O5AW3J73UFFOCFQ5PRUN2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2/action/storage_attestation","attest_author":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2/action/author_attestation","sign_citation":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2/action/citation_signature","submit_replication":"https://pith.science/pith/PCBL6O5AW3J73UFFOCFQ5PRUN2/action/replication_record"}},"created_at":"2026-07-05T11:27:46.117775+00:00","updated_at":"2026-07-05T11:27:46.117775+00:00"}