{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RS2RXCNQXWOCY4CJMCMT2PO3BZ","short_pith_number":"pith:RS2RXCNQ","canonical_record":{"source":{"id":"2502.04725","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-07T07:49:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c6218a97d5262b8bdf89973ac6f3b747a62aaaaa7be40a95b6b5805c1ba9affd","abstract_canon_sha256":"1742b6b2c922c7c134f2e61af5bb9114a4a143e7a1c0be7a3f27829a9db04b52"},"schema_version":"1.0"},"canonical_sha256":"8cb51b89b0bd9c2c704960993d3ddb0e7b8793586e2db6c91ec9ccd452cde0c5","source":{"kind":"arxiv","id":"2502.04725","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04725","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04725v1","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04725","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"pith_short_12","alias_value":"RS2RXCNQXWOC","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"pith_short_16","alias_value":"RS2RXCNQXWOCY4CJ","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"pith_short_8","alias_value":"RS2RXCNQ","created_at":"2026-07-05T10:10:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RS2RXCNQXWOCY4CJMCMT2PO3BZ","target":"record","payload":{"canonical_record":{"source":{"id":"2502.04725","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-07T07:49:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c6218a97d5262b8bdf89973ac6f3b747a62aaaaa7be40a95b6b5805c1ba9affd","abstract_canon_sha256":"1742b6b2c922c7c134f2e61af5bb9114a4a143e7a1c0be7a3f27829a9db04b52"},"schema_version":"1.0"},"canonical_sha256":"8cb51b89b0bd9c2c704960993d3ddb0e7b8793586e2db6c91ec9ccd452cde0c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:10:56.075864Z","signature_b64":"YJv1pUj05AKtRYYHn0Miy5BVQ4ZpQnPMAnQnts4Lhh1RSKLctKVGFca11Gcm/zXwSxIIog9GSXUNmIPLTYOzDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8cb51b89b0bd9c2c704960993d3ddb0e7b8793586e2db6c91ec9ccd452cde0c5","last_reissued_at":"2026-07-05T10:10:56.075348Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:10:56.075348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.04725","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":"2026-07-05T10:10:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6uu7Haa1zMHP/B3Kwu+1bv52v2zGG0X0R2b1RbYYTRyAsDA4Xr30/1Kp+0/Z2AKtWJFhCYMi75WXdKDBrRvQDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:29:04.402562Z"},"content_sha256":"5cefe373f01ba48e264e89b679c5a70051fc81d347450f6dea9ac4b539353399","schema_version":"1.0","event_id":"sha256:5cefe373f01ba48e264e89b679c5a70051fc81d347450f6dea9ac4b539353399"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RS2RXCNQXWOCY4CJMCMT2PO3BZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Andi Han, Chaochao Lu, Difan Zou, Wei Huang, Yujin Han","submitted_at":"2025-02-07T07:49:37Z","abstract_excerpt":"Despite the remarkable success of diffusion models (DMs) in data generation, they exhibit specific failure cases with unsatisfactory outputs. We focus on one such limitation: the ability of DMs to learn hidden rules between image features. Specifically, for image data with dependent features ($\\mathbf{x}$) and ($\\mathbf{y}$) (e.g., the height of the sun ($\\mathbf{x}$) and the length of the shadow ($\\mathbf{y}$)), we investigate whether DMs can accurately capture the inter-feature rule ($p(\\mathbf{y}|\\mathbf{x})$). Empirical evaluations on mainstream DMs (e.g., Stable Diffusion 3.5) reveal cons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04725","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/2502.04725/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":"2026-07-05T10:10:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uC0dWpJPLV0emCdYJyeYdjn3QTHN1jSxt5UzmiNjAiVqBpkozxGrjI+c/H67yDzzKn17mDdvo7TTTNFPmeSKBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:29:04.403548Z"},"content_sha256":"9dc69ff1d4b747a1d50d86ad25cd16234188c56f8bd49abfce9936e87fc07bce","schema_version":"1.0","event_id":"sha256:9dc69ff1d4b747a1d50d86ad25cd16234188c56f8bd49abfce9936e87fc07bce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RS2RXCNQXWOCY4CJMCMT2PO3BZ/bundle.json","state_url":"https://pith.science/pith/RS2RXCNQXWOCY4CJMCMT2PO3BZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RS2RXCNQXWOCY4CJMCMT2PO3BZ/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":"2026-08-04T14:29:04Z","links":{"resolver":"https://pith.science/pith/RS2RXCNQXWOCY4CJMCMT2PO3BZ","bundle":"https://pith.science/pith/RS2RXCNQXWOCY4CJMCMT2PO3BZ/bundle.json","state":"https://pith.science/pith/RS2RXCNQXWOCY4CJMCMT2PO3BZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RS2RXCNQXWOCY4CJMCMT2PO3BZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RS2RXCNQXWOCY4CJMCMT2PO3BZ","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":"1742b6b2c922c7c134f2e61af5bb9114a4a143e7a1c0be7a3f27829a9db04b52","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-07T07:49:37Z","title_canon_sha256":"c6218a97d5262b8bdf89973ac6f3b747a62aaaaa7be40a95b6b5805c1ba9affd"},"schema_version":"1.0","source":{"id":"2502.04725","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04725","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04725v1","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04725","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"pith_short_12","alias_value":"RS2RXCNQXWOC","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"pith_short_16","alias_value":"RS2RXCNQXWOCY4CJ","created_at":"2026-07-05T10:10:56Z"},{"alias_kind":"pith_short_8","alias_value":"RS2RXCNQ","created_at":"2026-07-05T10:10:56Z"}],"graph_snapshots":[{"event_id":"sha256:9dc69ff1d4b747a1d50d86ad25cd16234188c56f8bd49abfce9936e87fc07bce","target":"graph","created_at":"2026-07-05T10:10:56Z","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/2502.04725/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the remarkable success of diffusion models (DMs) in data generation, they exhibit specific failure cases with unsatisfactory outputs. We focus on one such limitation: the ability of DMs to learn hidden rules between image features. Specifically, for image data with dependent features ($\\mathbf{x}$) and ($\\mathbf{y}$) (e.g., the height of the sun ($\\mathbf{x}$) and the length of the shadow ($\\mathbf{y}$)), we investigate whether DMs can accurately capture the inter-feature rule ($p(\\mathbf{y}|\\mathbf{x})$). Empirical evaluations on mainstream DMs (e.g., Stable Diffusion 3.5) reveal cons","authors_text":"Andi Han, Chaochao Lu, Difan Zou, Wei Huang, Yujin Han","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-07T07:49:37Z","title":"Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04725","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":"sha256:5cefe373f01ba48e264e89b679c5a70051fc81d347450f6dea9ac4b539353399","target":"record","created_at":"2026-07-05T10:10:56Z","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":"1742b6b2c922c7c134f2e61af5bb9114a4a143e7a1c0be7a3f27829a9db04b52","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-07T07:49:37Z","title_canon_sha256":"c6218a97d5262b8bdf89973ac6f3b747a62aaaaa7be40a95b6b5805c1ba9affd"},"schema_version":"1.0","source":{"id":"2502.04725","kind":"arxiv","version":1}},"canonical_sha256":"8cb51b89b0bd9c2c704960993d3ddb0e7b8793586e2db6c91ec9ccd452cde0c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8cb51b89b0bd9c2c704960993d3ddb0e7b8793586e2db6c91ec9ccd452cde0c5","first_computed_at":"2026-07-05T10:10:56.075348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:56.075348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YJv1pUj05AKtRYYHn0Miy5BVQ4ZpQnPMAnQnts4Lhh1RSKLctKVGFca11Gcm/zXwSxIIog9GSXUNmIPLTYOzDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:56.075864Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04725","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5cefe373f01ba48e264e89b679c5a70051fc81d347450f6dea9ac4b539353399","sha256:9dc69ff1d4b747a1d50d86ad25cd16234188c56f8bd49abfce9936e87fc07bce"],"state_sha256":"f7c5120d37836f8b67d6cbbe4d6d83def62c063d5b8d238d1219e9205aa0e922"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fEAPrU7K3s9Kvl43iR/tdaW9NzyAu2DG5hl5PZeEHYRCOL1Cg3IZ7wCJ4kw2faZt0CpHSHizAizXBt3iNSyiDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T14:29:04.431147Z","bundle_sha256":"e6501f62277b7af7bc679cc6f457f5dab6c241183489f9a988baa4ff91d3525a"}}