{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XIENFPMMBD274PGSYR3G2ZAFCH","short_pith_number":"pith:XIENFPMM","canonical_record":{"source":{"id":"2304.06027","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-12T17:59:41Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b7ed3eca59b39830bfee0c58e6aba7b3688433a82dcc34bb64ebaf61790732e6","abstract_canon_sha256":"9dd49ad7cf6afb503eb0434716cd65b7d16cc81013a1f2c87342d82248c22c73"},"schema_version":"1.0"},"canonical_sha256":"ba08d2bd8c08f5fe3cd2c4766d640511ebfdeb167d6ac520713b1382036ddf5e","source":{"kind":"arxiv","id":"2304.06027","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.06027","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"arxiv_version","alias_value":"2304.06027v2","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06027","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"pith_short_12","alias_value":"XIENFPMMBD27","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"pith_short_16","alias_value":"XIENFPMMBD274PGS","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"pith_short_8","alias_value":"XIENFPMM","created_at":"2026-07-05T08:14:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XIENFPMMBD274PGSYR3G2ZAFCH","target":"record","payload":{"canonical_record":{"source":{"id":"2304.06027","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-12T17:59:41Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b7ed3eca59b39830bfee0c58e6aba7b3688433a82dcc34bb64ebaf61790732e6","abstract_canon_sha256":"9dd49ad7cf6afb503eb0434716cd65b7d16cc81013a1f2c87342d82248c22c73"},"schema_version":"1.0"},"canonical_sha256":"ba08d2bd8c08f5fe3cd2c4766d640511ebfdeb167d6ac520713b1382036ddf5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:14:38.515199Z","signature_b64":"X2V9CzNiULuE2KoEk+yRaBU/Jm3MSNgcuLXU/wkkNkRTJE1K0jxlb6N6Vf8G3QDA6gZeRxQA6Q8llRxuQPIVCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba08d2bd8c08f5fe3cd2c4766d640511ebfdeb167d6ac520713b1382036ddf5e","last_reissued_at":"2026-07-05T08:14:38.514756Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:14:38.514756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.06027","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:14:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NKrDuyY8HAngY/Gza92rz4s7j6uE/bcxNaDOeLksbpHY6cAs7Rt2nULaTPrBbs8HRWlKbcySP7bNXyeAzqVaBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:55:50.361108Z"},"content_sha256":"1b74b15e5026385732a3a529ed77e7593f8f2e2ec0a64603a1c6896e0d9c4a77","schema_version":"1.0","event_id":"sha256:1b74b15e5026385732a3a529ed77e7593f8f2e2ec0a64603a1c6896e0d9c4a77"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XIENFPMMBD274PGSYR3G2ZAFCH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Hongxia Jin, James Seale Smith, Lingyu Zhang, Ting Hua, Yen-Chang Hsu, Yilin Shen, Zsolt Kira","submitted_at":"2023-04-12T17:59:41Z","abstract_excerpt":"Recent works demonstrate a remarkable ability to customize text-to-image diffusion models while only providing a few example images. What happens if you try to customize such models using multiple, fine-grained concepts in a sequential (i.e., continual) manner? In our work, we show that recent state-of-the-art customization of text-to-image models suffer from catastrophic forgetting when new concepts arrive sequentially. Specifically, when adding a new concept, the ability to generate high quality images of past, similar concepts degrade. To circumvent this forgetting, we propose a new method,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06027","kind":"arxiv","version":2},"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/2304.06027/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":"2026-07-05T08:14:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tB7k1djytg9nRAqpAbIkADJZvEnxzxfKEpXe3fpRMirqHiZ0anVBAwz7i4HIhEsYKBVAMQIAVz0XsOFZ447yCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:55:50.361501Z"},"content_sha256":"56d12293e2c401610cfa6e77562352ac304499ba88f09cca89b342ade26ada45","schema_version":"1.0","event_id":"sha256:56d12293e2c401610cfa6e77562352ac304499ba88f09cca89b342ade26ada45"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XIENFPMMBD274PGSYR3G2ZAFCH/bundle.json","state_url":"https://pith.science/pith/XIENFPMMBD274PGSYR3G2ZAFCH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XIENFPMMBD274PGSYR3G2ZAFCH/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":"2026-07-07T03:55:50Z","links":{"resolver":"https://pith.science/pith/XIENFPMMBD274PGSYR3G2ZAFCH","bundle":"https://pith.science/pith/XIENFPMMBD274PGSYR3G2ZAFCH/bundle.json","state":"https://pith.science/pith/XIENFPMMBD274PGSYR3G2ZAFCH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XIENFPMMBD274PGSYR3G2ZAFCH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XIENFPMMBD274PGSYR3G2ZAFCH","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":"9dd49ad7cf6afb503eb0434716cd65b7d16cc81013a1f2c87342d82248c22c73","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-12T17:59:41Z","title_canon_sha256":"b7ed3eca59b39830bfee0c58e6aba7b3688433a82dcc34bb64ebaf61790732e6"},"schema_version":"1.0","source":{"id":"2304.06027","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.06027","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"arxiv_version","alias_value":"2304.06027v2","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06027","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"pith_short_12","alias_value":"XIENFPMMBD27","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"pith_short_16","alias_value":"XIENFPMMBD274PGS","created_at":"2026-07-05T08:14:38Z"},{"alias_kind":"pith_short_8","alias_value":"XIENFPMM","created_at":"2026-07-05T08:14:38Z"}],"graph_snapshots":[{"event_id":"sha256:56d12293e2c401610cfa6e77562352ac304499ba88f09cca89b342ade26ada45","target":"graph","created_at":"2026-07-05T08:14:38Z","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/2304.06027/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent works demonstrate a remarkable ability to customize text-to-image diffusion models while only providing a few example images. What happens if you try to customize such models using multiple, fine-grained concepts in a sequential (i.e., continual) manner? In our work, we show that recent state-of-the-art customization of text-to-image models suffer from catastrophic forgetting when new concepts arrive sequentially. Specifically, when adding a new concept, the ability to generate high quality images of past, similar concepts degrade. To circumvent this forgetting, we propose a new method,","authors_text":"Hongxia Jin, James Seale Smith, Lingyu Zhang, Ting Hua, Yen-Chang Hsu, Yilin Shen, Zsolt Kira","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-12T17:59:41Z","title":"Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06027","kind":"arxiv","version":2},"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":"sha256:1b74b15e5026385732a3a529ed77e7593f8f2e2ec0a64603a1c6896e0d9c4a77","target":"record","created_at":"2026-07-05T08:14:38Z","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":"9dd49ad7cf6afb503eb0434716cd65b7d16cc81013a1f2c87342d82248c22c73","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-12T17:59:41Z","title_canon_sha256":"b7ed3eca59b39830bfee0c58e6aba7b3688433a82dcc34bb64ebaf61790732e6"},"schema_version":"1.0","source":{"id":"2304.06027","kind":"arxiv","version":2}},"canonical_sha256":"ba08d2bd8c08f5fe3cd2c4766d640511ebfdeb167d6ac520713b1382036ddf5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba08d2bd8c08f5fe3cd2c4766d640511ebfdeb167d6ac520713b1382036ddf5e","first_computed_at":"2026-07-05T08:14:38.514756Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:14:38.514756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X2V9CzNiULuE2KoEk+yRaBU/Jm3MSNgcuLXU/wkkNkRTJE1K0jxlb6N6Vf8G3QDA6gZeRxQA6Q8llRxuQPIVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:14:38.515199Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.06027","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b74b15e5026385732a3a529ed77e7593f8f2e2ec0a64603a1c6896e0d9c4a77","sha256:56d12293e2c401610cfa6e77562352ac304499ba88f09cca89b342ade26ada45"],"state_sha256":"e7d0c66f0628d310beb4bbe7edbb8dd7ddf7ab6945db3597257f9e4cbc3d312a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ev29Rh/2tNFx+lIZzLa0PXN7iZ/qv+JqEtER0HE/PFepLGyXvUCFVNnrNsjB7PmGLKjDScymLXsIFXQWbAGMDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T03:55:50.363537Z","bundle_sha256":"0b118c8ecd74fd86d4adf82af60ebdb7b704ee260651baeac419fa1936eff75d"}}