{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MFKINZA35UO4ABNSJMBBNQQBFI","short_pith_number":"pith:MFKINZA3","canonical_record":{"source":{"id":"2506.09446","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:52:36Z","cross_cats_sorted":[],"title_canon_sha256":"fe94996bc1448789efbc10fcc77ead0fd621157622458171bbbe6e553ffc5724","abstract_canon_sha256":"557672b95e3145bd3bd344b48139c5205f8490c573b321147d1762053f94c486"},"schema_version":"1.0"},"canonical_sha256":"615486e41bed1dc005b24b0216c2012a3399cc5adf5b940b1cacaf0099eba9f9","source":{"kind":"arxiv","id":"2506.09446","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09446","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09446v1","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09446","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"pith_short_12","alias_value":"MFKINZA35UO4","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"pith_short_16","alias_value":"MFKINZA35UO4ABNS","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"pith_short_8","alias_value":"MFKINZA3","created_at":"2026-07-05T11:19:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MFKINZA35UO4ABNSJMBBNQQBFI","target":"record","payload":{"canonical_record":{"source":{"id":"2506.09446","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:52:36Z","cross_cats_sorted":[],"title_canon_sha256":"fe94996bc1448789efbc10fcc77ead0fd621157622458171bbbe6e553ffc5724","abstract_canon_sha256":"557672b95e3145bd3bd344b48139c5205f8490c573b321147d1762053f94c486"},"schema_version":"1.0"},"canonical_sha256":"615486e41bed1dc005b24b0216c2012a3399cc5adf5b940b1cacaf0099eba9f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:37.543363Z","signature_b64":"4YbyK41Az1P0G+3jz9xOFkIPU2nKWXTeKFeyOG1SHAHiBOHPcQZtiifnNgC9mkqR5q4D757YyLlq27ccnmRhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"615486e41bed1dc005b24b0216c2012a3399cc5adf5b940b1cacaf0099eba9f9","last_reissued_at":"2026-07-05T11:19:37.542872Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:37.542872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.09446","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":"2026-07-05T11:19:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L5PxgisF0UR00q2noF7PJS2iiFt3wnhSz9Nnl6RtbiR+wlRL22HbN6S3dzr9KKqujI81e2bK6k5/ZkJpxpKYCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:39:56.626036Z"},"content_sha256":"0b9ccfec832506e51914386446f2f04d90216cd2a1bf510d21127441acea2f36","schema_version":"1.0","event_id":"sha256:0b9ccfec832506e51914386446f2f04d90216cd2a1bf510d21127441acea2f36"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MFKINZA35UO4ABNSJMBBNQQBFI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Harmonizing and Merging Source Models for CLIP-based Domain Generalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aihua Zheng, Bin Luo, Bo Jiang, Jian Liang, Yuhe Ding, Zi Wang","submitted_at":"2025-06-11T06:52:36Z","abstract_excerpt":"CLIP-based domain generalization aims to improve model generalization to unseen domains by leveraging the powerful zero-shot classification capabilities of CLIP and multiple source datasets. Existing methods typically train a single model across multiple source domains to capture domain-shared information. However, this paradigm inherently suffers from two types of conflicts: 1) sample conflicts, arising from noisy samples and extreme domain shifts among sources; and 2) optimization conflicts, stemming from competition and trade-offs during multi-source training. Both hinder the generalization"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09446","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/2506.09446/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":"2026-07-05T11:19:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jmd1OLqdgJF/+ZbwM42UwPvoCtgU25PWPublf+4DOoyZcMqe5fxA6pPkBsoGtt42LC2T1G+yb37essPKWLz/Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:39:56.626919Z"},"content_sha256":"1346eb1a976a1de38e3dcd413eb9ba446c2373636c4f2f8bfedf55354b55d4cd","schema_version":"1.0","event_id":"sha256:1346eb1a976a1de38e3dcd413eb9ba446c2373636c4f2f8bfedf55354b55d4cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MFKINZA35UO4ABNSJMBBNQQBFI/bundle.json","state_url":"https://pith.science/pith/MFKINZA35UO4ABNSJMBBNQQBFI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MFKINZA35UO4ABNSJMBBNQQBFI/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":"2026-08-10T15:39:56Z","links":{"resolver":"https://pith.science/pith/MFKINZA35UO4ABNSJMBBNQQBFI","bundle":"https://pith.science/pith/MFKINZA35UO4ABNSJMBBNQQBFI/bundle.json","state":"https://pith.science/pith/MFKINZA35UO4ABNSJMBBNQQBFI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MFKINZA35UO4ABNSJMBBNQQBFI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MFKINZA35UO4ABNSJMBBNQQBFI","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":"557672b95e3145bd3bd344b48139c5205f8490c573b321147d1762053f94c486","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:52:36Z","title_canon_sha256":"fe94996bc1448789efbc10fcc77ead0fd621157622458171bbbe6e553ffc5724"},"schema_version":"1.0","source":{"id":"2506.09446","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09446","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09446v1","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09446","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"pith_short_12","alias_value":"MFKINZA35UO4","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"pith_short_16","alias_value":"MFKINZA35UO4ABNS","created_at":"2026-07-05T11:19:37Z"},{"alias_kind":"pith_short_8","alias_value":"MFKINZA3","created_at":"2026-07-05T11:19:37Z"}],"graph_snapshots":[{"event_id":"sha256:1346eb1a976a1de38e3dcd413eb9ba446c2373636c4f2f8bfedf55354b55d4cd","target":"graph","created_at":"2026-07-05T11:19:37Z","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/2506.09446/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"CLIP-based domain generalization aims to improve model generalization to unseen domains by leveraging the powerful zero-shot classification capabilities of CLIP and multiple source datasets. Existing methods typically train a single model across multiple source domains to capture domain-shared information. However, this paradigm inherently suffers from two types of conflicts: 1) sample conflicts, arising from noisy samples and extreme domain shifts among sources; and 2) optimization conflicts, stemming from competition and trade-offs during multi-source training. Both hinder the generalization","authors_text":"Aihua Zheng, Bin Luo, Bo Jiang, Jian Liang, Yuhe Ding, Zi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:52:36Z","title":"Harmonizing and Merging Source Models for CLIP-based Domain Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09446","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":"sha256:0b9ccfec832506e51914386446f2f04d90216cd2a1bf510d21127441acea2f36","target":"record","created_at":"2026-07-05T11:19:37Z","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":"557672b95e3145bd3bd344b48139c5205f8490c573b321147d1762053f94c486","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:52:36Z","title_canon_sha256":"fe94996bc1448789efbc10fcc77ead0fd621157622458171bbbe6e553ffc5724"},"schema_version":"1.0","source":{"id":"2506.09446","kind":"arxiv","version":1}},"canonical_sha256":"615486e41bed1dc005b24b0216c2012a3399cc5adf5b940b1cacaf0099eba9f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"615486e41bed1dc005b24b0216c2012a3399cc5adf5b940b1cacaf0099eba9f9","first_computed_at":"2026-07-05T11:19:37.542872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:37.542872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4YbyK41Az1P0G+3jz9xOFkIPU2nKWXTeKFeyOG1SHAHiBOHPcQZtiifnNgC9mkqR5q4D757YyLlq27ccnmRhCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:37.543363Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.09446","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b9ccfec832506e51914386446f2f04d90216cd2a1bf510d21127441acea2f36","sha256:1346eb1a976a1de38e3dcd413eb9ba446c2373636c4f2f8bfedf55354b55d4cd"],"state_sha256":"660f43a2507087d1c35a0d961cf1282ae3b14ca806624905e0d89701bcab6576"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jno/8W/KneezaYrAftGTzzniVma0L5yOkfCwqtWjCUSnD0HO8WLuG+FpzcWU1PCb8oZD+7tdrEsZ/TXBDnHYAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T15:39:56.633562Z","bundle_sha256":"c7c544da5a2c476f0d46b94da6e3764ae6e880c83c8af82c2652019cefdbe16a"}}