{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NF37V4K3TSIP7ODREJCEJL5W5G","short_pith_number":"pith:NF37V4K3","canonical_record":{"source":{"id":"2506.14603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-17T15:06:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"261354830f11c5c738787f5f7d7dc3650f5e50a8b9b6fda72d5c051085f34b25","abstract_canon_sha256":"906d349f18234e57a3a63cfcf79dcdbaa477648e7d68d30e94f9216ef2f70aec"},"schema_version":"1.0"},"canonical_sha256":"6977faf15b9c90ffb871224444afb6e9be27f646e5cfb0d240453e959eca0005","source":{"kind":"arxiv","id":"2506.14603","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14603","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14603v1","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14603","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"pith_short_12","alias_value":"NF37V4K3TSIP","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"pith_short_16","alias_value":"NF37V4K3TSIP7ODR","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"pith_short_8","alias_value":"NF37V4K3","created_at":"2026-07-05T11:22:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NF37V4K3TSIP7ODREJCEJL5W5G","target":"record","payload":{"canonical_record":{"source":{"id":"2506.14603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-17T15:06:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"261354830f11c5c738787f5f7d7dc3650f5e50a8b9b6fda72d5c051085f34b25","abstract_canon_sha256":"906d349f18234e57a3a63cfcf79dcdbaa477648e7d68d30e94f9216ef2f70aec"},"schema_version":"1.0"},"canonical_sha256":"6977faf15b9c90ffb871224444afb6e9be27f646e5cfb0d240453e959eca0005","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:59.604638Z","signature_b64":"MQkdOQmZ0KwRWAha0QodFbV47JobXRfQmZYMGkp1EGlJkuD12J6BcejmnaRJfFsYJiEwJjlCaOuKXH6ld3DTCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6977faf15b9c90ffb871224444afb6e9be27f646e5cfb0d240453e959eca0005","last_reissued_at":"2026-07-05T11:22:59.604102Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:59.604102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.14603","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":"2026-07-05T11:22:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ujDwyAS+hkqG+MeNFj1tKvktLh4nXweKbQSrH7Eo6zBCneXARsBYqVT/Q4mWdeHaLKhV/i4c0sVnYQRSXPA5Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:48:13.556865Z"},"content_sha256":"124c6dcb2c02708ef6ee48edf9c048c9238db63e33a2ac29c075b045d32c9b19","schema_version":"1.0","event_id":"sha256:124c6dcb2c02708ef6ee48edf9c048c9238db63e33a2ac29c075b045d32c9b19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NF37V4K3TSIP7ODREJCEJL5W5G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Amirmojtaba Sabour, Karsten Kreis, Sanja Fidler","submitted_at":"2025-06-17T15:06:07Z","abstract_excerpt":"Diffusion- and flow-based models have emerged as state-of-the-art generative modeling approaches, but they require many sampling steps. Consistency models can distill these models into efficient one-step generators; however, unlike flow- and diffusion-based methods, their performance inevitably degrades when increasing the number of steps, which we show both analytically and empirically. Flow maps generalize these approaches by connecting any two noise levels in a single step and remain effective across all step counts. In this paper, we introduce two new continuous-time objectives for trainin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14603","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/2506.14603/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":"2026-07-05T11:22:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3rSgLotc2W8alHkuNnDyUyc8MU4kWzLbwjorscZZ8/zCB34HK7to5AdNQhWJ3SgGY9LR/O4Nj/exYSui3gwpAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:48:13.557245Z"},"content_sha256":"66f25b16de2c4f5e8b49087955acd883bfb6d5d1984a6f97f1f1e2f28fe71367","schema_version":"1.0","event_id":"sha256:66f25b16de2c4f5e8b49087955acd883bfb6d5d1984a6f97f1f1e2f28fe71367"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NF37V4K3TSIP7ODREJCEJL5W5G/bundle.json","state_url":"https://pith.science/pith/NF37V4K3TSIP7ODREJCEJL5W5G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NF37V4K3TSIP7ODREJCEJL5W5G/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":"2026-07-06T15:48:13Z","links":{"resolver":"https://pith.science/pith/NF37V4K3TSIP7ODREJCEJL5W5G","bundle":"https://pith.science/pith/NF37V4K3TSIP7ODREJCEJL5W5G/bundle.json","state":"https://pith.science/pith/NF37V4K3TSIP7ODREJCEJL5W5G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NF37V4K3TSIP7ODREJCEJL5W5G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NF37V4K3TSIP7ODREJCEJL5W5G","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":"906d349f18234e57a3a63cfcf79dcdbaa477648e7d68d30e94f9216ef2f70aec","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-17T15:06:07Z","title_canon_sha256":"261354830f11c5c738787f5f7d7dc3650f5e50a8b9b6fda72d5c051085f34b25"},"schema_version":"1.0","source":{"id":"2506.14603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14603","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14603v1","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14603","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"pith_short_12","alias_value":"NF37V4K3TSIP","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"pith_short_16","alias_value":"NF37V4K3TSIP7ODR","created_at":"2026-07-05T11:22:59Z"},{"alias_kind":"pith_short_8","alias_value":"NF37V4K3","created_at":"2026-07-05T11:22:59Z"}],"graph_snapshots":[{"event_id":"sha256:66f25b16de2c4f5e8b49087955acd883bfb6d5d1984a6f97f1f1e2f28fe71367","target":"graph","created_at":"2026-07-05T11:22:59Z","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/2506.14603/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion- and flow-based models have emerged as state-of-the-art generative modeling approaches, but they require many sampling steps. Consistency models can distill these models into efficient one-step generators; however, unlike flow- and diffusion-based methods, their performance inevitably degrades when increasing the number of steps, which we show both analytically and empirically. Flow maps generalize these approaches by connecting any two noise levels in a single step and remain effective across all step counts. In this paper, we introduce two new continuous-time objectives for trainin","authors_text":"Amirmojtaba Sabour, Karsten Kreis, Sanja Fidler","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14603","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":"sha256:124c6dcb2c02708ef6ee48edf9c048c9238db63e33a2ac29c075b045d32c9b19","target":"record","created_at":"2026-07-05T11:22:59Z","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":"906d349f18234e57a3a63cfcf79dcdbaa477648e7d68d30e94f9216ef2f70aec","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-17T15:06:07Z","title_canon_sha256":"261354830f11c5c738787f5f7d7dc3650f5e50a8b9b6fda72d5c051085f34b25"},"schema_version":"1.0","source":{"id":"2506.14603","kind":"arxiv","version":1}},"canonical_sha256":"6977faf15b9c90ffb871224444afb6e9be27f646e5cfb0d240453e959eca0005","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6977faf15b9c90ffb871224444afb6e9be27f646e5cfb0d240453e959eca0005","first_computed_at":"2026-07-05T11:22:59.604102Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:59.604102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MQkdOQmZ0KwRWAha0QodFbV47JobXRfQmZYMGkp1EGlJkuD12J6BcejmnaRJfFsYJiEwJjlCaOuKXH6ld3DTCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:59.604638Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.14603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:124c6dcb2c02708ef6ee48edf9c048c9238db63e33a2ac29c075b045d32c9b19","sha256:66f25b16de2c4f5e8b49087955acd883bfb6d5d1984a6f97f1f1e2f28fe71367"],"state_sha256":"5d4c483bf513441b3dc3f39add54fb03db490a5fd8550cd5badc809ae3db1177"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PcVXNCcLYKiTIKZLF++GQLokT6hec7P0ah+hqJ+ox6wJxI3tWGk0pwG89kf/pBP/+xDXlc5/BX1wQpxKgLAVCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T15:48:13.559206Z","bundle_sha256":"78fad1938cfdd193034af59d93b9438aa1ab64dfd20896f4f4f57129c578d08b"}}