{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BGTLGKF3TRKKQHKWH3EJ5RANWN","short_pith_number":"pith:BGTLGKF3","canonical_record":{"source":{"id":"2504.02160","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-02T22:20:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4076ce4a526de6aa1c43616ffd9e6bb4c956d1c2f4ca3b3c94ec2894a0c011c1","abstract_canon_sha256":"adc2506997cb15573b77ee7e313d608474ad0267d30e0c246b3d60b5cabb7bef"},"schema_version":"1.0"},"canonical_sha256":"09a6b328bb9c54a81d563ec89ec40db36531d9ed0b601508f67ec1c306b118f0","source":{"kind":"arxiv","id":"2504.02160","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02160","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02160v1","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02160","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"pith_short_12","alias_value":"BGTLGKF3TRKK","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"pith_short_16","alias_value":"BGTLGKF3TRKKQHKW","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"pith_short_8","alias_value":"BGTLGKF3","created_at":"2026-07-05T10:43:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BGTLGKF3TRKKQHKWH3EJ5RANWN","target":"record","payload":{"canonical_record":{"source":{"id":"2504.02160","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-02T22:20:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4076ce4a526de6aa1c43616ffd9e6bb4c956d1c2f4ca3b3c94ec2894a0c011c1","abstract_canon_sha256":"adc2506997cb15573b77ee7e313d608474ad0267d30e0c246b3d60b5cabb7bef"},"schema_version":"1.0"},"canonical_sha256":"09a6b328bb9c54a81d563ec89ec40db36531d9ed0b601508f67ec1c306b118f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:43:51.527164Z","signature_b64":"YZNDvlEsxQSPmJZT9Fo/CxZiGa+Aiqo1opWr0Oe52rRlhVZ3whtRejlrsUwhzbl9Gf/7O/+UD57dqZGIwaqbBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09a6b328bb9c54a81d563ec89ec40db36531d9ed0b601508f67ec1c306b118f0","last_reissued_at":"2026-07-05T10:43:51.526666Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:43:51.526666Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.02160","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":"2026-07-05T10:43:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zx2R8ESR7jfv1D8xX6I2Odnr/1doDMHpOlFOQKYp17SIa4ErGYknU6GS7xXK7bPf2INPKDqnSf7IhQ5MdnwzAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:21:07.648069Z"},"content_sha256":"e83b8e361cf13782606392078d5c7070b0659751d51ddba6ec1ea5bbb98c2c3c","schema_version":"1.0","event_id":"sha256:e83b8e361cf13782606392078d5c7070b0659751d51ddba6ec1ea5bbb98c2c3c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BGTLGKF3TRKKQHKWH3EJ5RANWN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Less-to-More Generalization: Unlocking More Controllability by In-Context Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Fei Ding, Mengqi Huang, Qian He, Shaojin Wu, Wenxu Wu, Yufeng Cheng","submitted_at":"2025-04-02T22:20:21Z","abstract_excerpt":"Although subject-driven generation has been extensively explored in image generation due to its wide applications, it still has challenges in data scalability and subject expansibility. For the first challenge, moving from curating single-subject datasets to multiple-subject ones and scaling them is particularly difficult. For the second, most recent methods center on single-subject generation, making it hard to apply when dealing with multi-subject scenarios. In this study, we propose a highly-consistent data synthesis pipeline to tackle this challenge. This pipeline harnesses the intrinsic i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02160","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/2504.02160/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":"2026-07-05T10:43:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DbwSq260NjRsnALSo8pF0d2C6tkTh0KBfnfhEgoTj7JCxOO3vaLaG6gJbQm8N8L1fdZph0FqIQgR3+l84lYWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:21:07.648727Z"},"content_sha256":"eb45eed265f88a371ce91ec5e93934f4f7863d2a544e5b159825437dd16cf0b6","schema_version":"1.0","event_id":"sha256:eb45eed265f88a371ce91ec5e93934f4f7863d2a544e5b159825437dd16cf0b6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BGTLGKF3TRKKQHKWH3EJ5RANWN/bundle.json","state_url":"https://pith.science/pith/BGTLGKF3TRKKQHKWH3EJ5RANWN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BGTLGKF3TRKKQHKWH3EJ5RANWN/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":"2026-08-06T00:21:07Z","links":{"resolver":"https://pith.science/pith/BGTLGKF3TRKKQHKWH3EJ5RANWN","bundle":"https://pith.science/pith/BGTLGKF3TRKKQHKWH3EJ5RANWN/bundle.json","state":"https://pith.science/pith/BGTLGKF3TRKKQHKWH3EJ5RANWN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BGTLGKF3TRKKQHKWH3EJ5RANWN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BGTLGKF3TRKKQHKWH3EJ5RANWN","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":"adc2506997cb15573b77ee7e313d608474ad0267d30e0c246b3d60b5cabb7bef","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-02T22:20:21Z","title_canon_sha256":"4076ce4a526de6aa1c43616ffd9e6bb4c956d1c2f4ca3b3c94ec2894a0c011c1"},"schema_version":"1.0","source":{"id":"2504.02160","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02160","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02160v1","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02160","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"pith_short_12","alias_value":"BGTLGKF3TRKK","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"pith_short_16","alias_value":"BGTLGKF3TRKKQHKW","created_at":"2026-07-05T10:43:51Z"},{"alias_kind":"pith_short_8","alias_value":"BGTLGKF3","created_at":"2026-07-05T10:43:51Z"}],"graph_snapshots":[{"event_id":"sha256:eb45eed265f88a371ce91ec5e93934f4f7863d2a544e5b159825437dd16cf0b6","target":"graph","created_at":"2026-07-05T10:43:51Z","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/2504.02160/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although subject-driven generation has been extensively explored in image generation due to its wide applications, it still has challenges in data scalability and subject expansibility. For the first challenge, moving from curating single-subject datasets to multiple-subject ones and scaling them is particularly difficult. For the second, most recent methods center on single-subject generation, making it hard to apply when dealing with multi-subject scenarios. In this study, we propose a highly-consistent data synthesis pipeline to tackle this challenge. This pipeline harnesses the intrinsic i","authors_text":"Fei Ding, Mengqi Huang, Qian He, Shaojin Wu, Wenxu Wu, Yufeng Cheng","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-02T22:20:21Z","title":"Less-to-More Generalization: Unlocking More Controllability by In-Context Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02160","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:e83b8e361cf13782606392078d5c7070b0659751d51ddba6ec1ea5bbb98c2c3c","target":"record","created_at":"2026-07-05T10:43:51Z","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":"adc2506997cb15573b77ee7e313d608474ad0267d30e0c246b3d60b5cabb7bef","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-02T22:20:21Z","title_canon_sha256":"4076ce4a526de6aa1c43616ffd9e6bb4c956d1c2f4ca3b3c94ec2894a0c011c1"},"schema_version":"1.0","source":{"id":"2504.02160","kind":"arxiv","version":1}},"canonical_sha256":"09a6b328bb9c54a81d563ec89ec40db36531d9ed0b601508f67ec1c306b118f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09a6b328bb9c54a81d563ec89ec40db36531d9ed0b601508f67ec1c306b118f0","first_computed_at":"2026-07-05T10:43:51.526666Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:43:51.526666Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YZNDvlEsxQSPmJZT9Fo/CxZiGa+Aiqo1opWr0Oe52rRlhVZ3whtRejlrsUwhzbl9Gf/7O/+UD57dqZGIwaqbBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:43:51.527164Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.02160","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e83b8e361cf13782606392078d5c7070b0659751d51ddba6ec1ea5bbb98c2c3c","sha256:eb45eed265f88a371ce91ec5e93934f4f7863d2a544e5b159825437dd16cf0b6"],"state_sha256":"8e5167d67280728b33844c6ae4d6311c8629ac5dc3ba678966401b357713cbf3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rmEXyTyil6Gf4PUZLB0vfGjKPbCK4Yz6eMbbUSnOIVg3egHoTdqh0s8tuenpJQ1BGgPVfGyrBDQPb2QbtoNGCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T00:21:07.654157Z","bundle_sha256":"1a770ef0134d0938c1c05aee5df76ccd33838d2771dd840e7e3eb8518636e8f3"}}