{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DHR6XIOXOQLCAQJEHHFCIGTZ7Q","short_pith_number":"pith:DHR6XIOX","canonical_record":{"source":{"id":"2508.00443","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T09:00:48Z","cross_cats_sorted":[],"title_canon_sha256":"4797d77c60bb2ef6b6cee0940a52a43befe3dfb3ed749dfd4845175f69d55468","abstract_canon_sha256":"2b9c3a4b3dcc9d8584c725924ba1060d4e9facf1d546296c7d9cf172ab8fec78"},"schema_version":"1.0"},"canonical_sha256":"19e3eba1d7741620412439ca241a79fc38cf9656f8363fe76d9eebaeec9a3664","source":{"kind":"arxiv","id":"2508.00443","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00443","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00443v2","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00443","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"pith_short_12","alias_value":"DHR6XIOXOQLC","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"pith_short_16","alias_value":"DHR6XIOXOQLCAQJE","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"pith_short_8","alias_value":"DHR6XIOX","created_at":"2026-07-05T11:48:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DHR6XIOXOQLCAQJEHHFCIGTZ7Q","target":"record","payload":{"canonical_record":{"source":{"id":"2508.00443","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T09:00:48Z","cross_cats_sorted":[],"title_canon_sha256":"4797d77c60bb2ef6b6cee0940a52a43befe3dfb3ed749dfd4845175f69d55468","abstract_canon_sha256":"2b9c3a4b3dcc9d8584c725924ba1060d4e9facf1d546296c7d9cf172ab8fec78"},"schema_version":"1.0"},"canonical_sha256":"19e3eba1d7741620412439ca241a79fc38cf9656f8363fe76d9eebaeec9a3664","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:06.757988Z","signature_b64":"W+jDIoUpwFDRUSHubKsUVOdV7JIzEumEZyiEhXdBirb3PLOz5ywR7mg22KqohTk5Nqc6qa56+GB04gg0QFbxCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19e3eba1d7741620412439ca241a79fc38cf9656f8363fe76d9eebaeec9a3664","last_reissued_at":"2026-07-05T11:48:06.757461Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:06.757461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.00443","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":"2026-07-05T11:48:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KBM59FXz9zlQHTCvvUUKzoGQ5FOdteaMOQAchBnvJgqhGhAn/7RxsPPReDLDx+/Xj3A0JcGuGzU78/v+8Bk4Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:11:13.988799Z"},"content_sha256":"19298eb13445741ae1c093a18232ee8be78f18f4fa24f210c8e81c2fb455cc14","schema_version":"1.0","event_id":"sha256:19298eb13445741ae1c093a18232ee8be78f18f4fa24f210c8e81c2fb455cc14"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DHR6XIOXOQLCAQJEHHFCIGTZ7Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SDMatte: Grafting Diffusion Models for Interactive Matting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Li, Hao Zhang, Jinwei Chen, Longfei Huang, Lunde Chen, Peng-Tao Jiang, Wanyu Liu, Wei Dong, Yu Liang","submitted_at":"2025-08-01T09:00:48Z","abstract_excerpt":"Recent interactive matting methods have shown satisfactory performance in capturing the primary regions of objects, but they fall short in extracting fine-grained details in edge regions. Diffusion models trained on billions of image-text pairs, demonstrate exceptional capability in modeling highly complex data distributions and synthesizing realistic texture details, while exhibiting robust text-driven interaction capabilities, making them an attractive solution for interactive matting. To this end, we propose SDMatte, a diffusion-driven interactive matting model, with three key contributions"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00443","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/2508.00443/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":"2026-07-05T11:48:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t0UPyNica5mQn9BiYSmvKSOmoeGDbGRQ4aE8zoGWEXpS5DhHMqJ5bsZiaHqQcxdIc5pj6e8fc0h4kDQBkKd7Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:11:13.989702Z"},"content_sha256":"3dbffc2ba4c00e1f292e578c4392f708b7b60ca2348da7378472b3a1fd3988d4","schema_version":"1.0","event_id":"sha256:3dbffc2ba4c00e1f292e578c4392f708b7b60ca2348da7378472b3a1fd3988d4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DHR6XIOXOQLCAQJEHHFCIGTZ7Q/bundle.json","state_url":"https://pith.science/pith/DHR6XIOXOQLCAQJEHHFCIGTZ7Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DHR6XIOXOQLCAQJEHHFCIGTZ7Q/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":"2026-08-05T03:11:13Z","links":{"resolver":"https://pith.science/pith/DHR6XIOXOQLCAQJEHHFCIGTZ7Q","bundle":"https://pith.science/pith/DHR6XIOXOQLCAQJEHHFCIGTZ7Q/bundle.json","state":"https://pith.science/pith/DHR6XIOXOQLCAQJEHHFCIGTZ7Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DHR6XIOXOQLCAQJEHHFCIGTZ7Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DHR6XIOXOQLCAQJEHHFCIGTZ7Q","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":"2b9c3a4b3dcc9d8584c725924ba1060d4e9facf1d546296c7d9cf172ab8fec78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T09:00:48Z","title_canon_sha256":"4797d77c60bb2ef6b6cee0940a52a43befe3dfb3ed749dfd4845175f69d55468"},"schema_version":"1.0","source":{"id":"2508.00443","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00443","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00443v2","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00443","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"pith_short_12","alias_value":"DHR6XIOXOQLC","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"pith_short_16","alias_value":"DHR6XIOXOQLCAQJE","created_at":"2026-07-05T11:48:06Z"},{"alias_kind":"pith_short_8","alias_value":"DHR6XIOX","created_at":"2026-07-05T11:48:06Z"}],"graph_snapshots":[{"event_id":"sha256:3dbffc2ba4c00e1f292e578c4392f708b7b60ca2348da7378472b3a1fd3988d4","target":"graph","created_at":"2026-07-05T11:48:06Z","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/2508.00443/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent interactive matting methods have shown satisfactory performance in capturing the primary regions of objects, but they fall short in extracting fine-grained details in edge regions. Diffusion models trained on billions of image-text pairs, demonstrate exceptional capability in modeling highly complex data distributions and synthesizing realistic texture details, while exhibiting robust text-driven interaction capabilities, making them an attractive solution for interactive matting. To this end, we propose SDMatte, a diffusion-driven interactive matting model, with three key contributions","authors_text":"Bo Li, Hao Zhang, Jinwei Chen, Longfei Huang, Lunde Chen, Peng-Tao Jiang, Wanyu Liu, Wei Dong, Yu Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T09:00:48Z","title":"SDMatte: Grafting Diffusion Models for Interactive Matting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00443","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":"sha256:19298eb13445741ae1c093a18232ee8be78f18f4fa24f210c8e81c2fb455cc14","target":"record","created_at":"2026-07-05T11:48:06Z","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":"2b9c3a4b3dcc9d8584c725924ba1060d4e9facf1d546296c7d9cf172ab8fec78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T09:00:48Z","title_canon_sha256":"4797d77c60bb2ef6b6cee0940a52a43befe3dfb3ed749dfd4845175f69d55468"},"schema_version":"1.0","source":{"id":"2508.00443","kind":"arxiv","version":2}},"canonical_sha256":"19e3eba1d7741620412439ca241a79fc38cf9656f8363fe76d9eebaeec9a3664","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19e3eba1d7741620412439ca241a79fc38cf9656f8363fe76d9eebaeec9a3664","first_computed_at":"2026-07-05T11:48:06.757461Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:06.757461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W+jDIoUpwFDRUSHubKsUVOdV7JIzEumEZyiEhXdBirb3PLOz5ywR7mg22KqohTk5Nqc6qa56+GB04gg0QFbxCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:06.757988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.00443","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19298eb13445741ae1c093a18232ee8be78f18f4fa24f210c8e81c2fb455cc14","sha256:3dbffc2ba4c00e1f292e578c4392f708b7b60ca2348da7378472b3a1fd3988d4"],"state_sha256":"cc1d320c395e97ebb3f3ec9a9d2937f1c16012f48615cede738b86ee6151bf9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zYuo4CI/AIChUB4O60UuGQ7CcRBbRs2gjGp7iPrHDRxz25NLfLzJfQ3tJLp/hvalA/b9t1pKEjfWkwqUsiknBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:11:13.996533Z","bundle_sha256":"a9a97daae7a1dfee6563b6da71ab965b3cd55c1cd9cc29072878bc4cd367bfd8"}}