{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:APJNJ4TI72OBV7MTNRKHYHBDIQ","short_pith_number":"pith:APJNJ4TI","canonical_record":{"source":{"id":"2312.05915","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-10T15:28:56Z","cross_cats_sorted":[],"title_canon_sha256":"9a70b49b31ada040ca54d14eaacca21e16f8bee1da9a7166cc73be5cbdca5a48","abstract_canon_sha256":"90771c1551da83ff5c90ff219433538a1293d03babbc21afc8877b7d9b45b4c0"},"schema_version":"1.0"},"canonical_sha256":"03d2d4f268fe9c1afd936c547c1c23443803bcf1973dbeac715ffd731879db4d","source":{"kind":"arxiv","id":"2312.05915","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05915","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05915v2","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05915","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"APJNJ4TI72OB","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_16","alias_value":"APJNJ4TI72OBV7MT","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_8","alias_value":"APJNJ4TI","created_at":"2026-07-05T09:44:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:APJNJ4TI72OBV7MTNRKHYHBDIQ","target":"record","payload":{"canonical_record":{"source":{"id":"2312.05915","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-10T15:28:56Z","cross_cats_sorted":[],"title_canon_sha256":"9a70b49b31ada040ca54d14eaacca21e16f8bee1da9a7166cc73be5cbdca5a48","abstract_canon_sha256":"90771c1551da83ff5c90ff219433538a1293d03babbc21afc8877b7d9b45b4c0"},"schema_version":"1.0"},"canonical_sha256":"03d2d4f268fe9c1afd936c547c1c23443803bcf1973dbeac715ffd731879db4d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:06.387325Z","signature_b64":"fAW8NCLbNYEeSgbSKafme2K/iKggCUvnPtHkQmFoTBBCh44+UprcdcOqvNLuj5IjAs04vcl+Nat0Mz5irRnhDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"03d2d4f268fe9c1afd936c547c1c23443803bcf1973dbeac715ffd731879db4d","last_reissued_at":"2026-07-05T09:44:06.386845Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:06.386845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.05915","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":"2026-07-05T09:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jVvaqUtggfivu2JPbfU/SG5INKP4yo1BHaahJwmV2UocXegbo/kYddVt4S49G462Z9gX0pb7KObecdTDzJR7Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T17:23:31.985483Z"},"content_sha256":"1edc908a01b2708ea20249edeb10b0262f0939ff00a396571c0f1f923d911221","schema_version":"1.0","event_id":"sha256:1edc908a01b2708ea20249edeb10b0262f0939ff00a396571c0f1f923d911221"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:APJNJ4TI72OBV7MTNRKHYHBDIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Diffusion for Natural Image Matting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Humphrey Shi, Wei Wang, Yao Zhao, Yihan Hu, Yiheng Lin, Yunchao Wei","submitted_at":"2023-12-10T15:28:56Z","abstract_excerpt":"We aim to leverage diffusion to address the challenging image matting task. However, the presence of high computational overhead and the inconsistency of noise sampling between the training and inference processes pose significant obstacles to achieving this goal. In this paper, we present DiffMatte, a solution designed to effectively overcome these challenges. First, DiffMatte decouples the decoder from the intricately coupled matting network design, involving only one lightweight decoder in the iterations of the diffusion process. With such a strategy, DiffMatte mitigates the growth of compu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05915","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/2312.05915/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":"2026-07-05T09:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5AySCf9pMlKvLtTr4+Yutyyllu3KVHQZXk+zreGyPjkRMJaOSKNYXiaDLCfXkVXIdVgP77cmmudK4W/IRI+yBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T17:23:31.986162Z"},"content_sha256":"8a3fc145982aaa8c27e6bb7b3baedbd9356aaabfe1fd349381374a85c86c42d9","schema_version":"1.0","event_id":"sha256:8a3fc145982aaa8c27e6bb7b3baedbd9356aaabfe1fd349381374a85c86c42d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/APJNJ4TI72OBV7MTNRKHYHBDIQ/bundle.json","state_url":"https://pith.science/pith/APJNJ4TI72OBV7MTNRKHYHBDIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/APJNJ4TI72OBV7MTNRKHYHBDIQ/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":"2026-08-13T17:23:32Z","links":{"resolver":"https://pith.science/pith/APJNJ4TI72OBV7MTNRKHYHBDIQ","bundle":"https://pith.science/pith/APJNJ4TI72OBV7MTNRKHYHBDIQ/bundle.json","state":"https://pith.science/pith/APJNJ4TI72OBV7MTNRKHYHBDIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/APJNJ4TI72OBV7MTNRKHYHBDIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:APJNJ4TI72OBV7MTNRKHYHBDIQ","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":"90771c1551da83ff5c90ff219433538a1293d03babbc21afc8877b7d9b45b4c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-10T15:28:56Z","title_canon_sha256":"9a70b49b31ada040ca54d14eaacca21e16f8bee1da9a7166cc73be5cbdca5a48"},"schema_version":"1.0","source":{"id":"2312.05915","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05915","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05915v2","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05915","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"APJNJ4TI72OB","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_16","alias_value":"APJNJ4TI72OBV7MT","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_8","alias_value":"APJNJ4TI","created_at":"2026-07-05T09:44:06Z"}],"graph_snapshots":[{"event_id":"sha256:8a3fc145982aaa8c27e6bb7b3baedbd9356aaabfe1fd349381374a85c86c42d9","target":"graph","created_at":"2026-07-05T09:44:06Z","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/2312.05915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We aim to leverage diffusion to address the challenging image matting task. However, the presence of high computational overhead and the inconsistency of noise sampling between the training and inference processes pose significant obstacles to achieving this goal. In this paper, we present DiffMatte, a solution designed to effectively overcome these challenges. First, DiffMatte decouples the decoder from the intricately coupled matting network design, involving only one lightweight decoder in the iterations of the diffusion process. With such a strategy, DiffMatte mitigates the growth of compu","authors_text":"Humphrey Shi, Wei Wang, Yao Zhao, Yihan Hu, Yiheng Lin, Yunchao Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-10T15:28:56Z","title":"Diffusion for Natural Image Matting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05915","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":"sha256:1edc908a01b2708ea20249edeb10b0262f0939ff00a396571c0f1f923d911221","target":"record","created_at":"2026-07-05T09:44:06Z","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":"90771c1551da83ff5c90ff219433538a1293d03babbc21afc8877b7d9b45b4c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-10T15:28:56Z","title_canon_sha256":"9a70b49b31ada040ca54d14eaacca21e16f8bee1da9a7166cc73be5cbdca5a48"},"schema_version":"1.0","source":{"id":"2312.05915","kind":"arxiv","version":2}},"canonical_sha256":"03d2d4f268fe9c1afd936c547c1c23443803bcf1973dbeac715ffd731879db4d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03d2d4f268fe9c1afd936c547c1c23443803bcf1973dbeac715ffd731879db4d","first_computed_at":"2026-07-05T09:44:06.386845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:06.386845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fAW8NCLbNYEeSgbSKafme2K/iKggCUvnPtHkQmFoTBBCh44+UprcdcOqvNLuj5IjAs04vcl+Nat0Mz5irRnhDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:06.387325Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.05915","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1edc908a01b2708ea20249edeb10b0262f0939ff00a396571c0f1f923d911221","sha256:8a3fc145982aaa8c27e6bb7b3baedbd9356aaabfe1fd349381374a85c86c42d9"],"state_sha256":"08e3a90d1aa710719887588ca7b4c19478b2958c9ab77cbc30876b904dd0bf1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"opgcAeTKb+wGVIgAiX6k1hhsaj+dxgGbm3w9IwyfCyd+JHHPfeXgsbjqbiVZTl8rkRc5RMXZ7gPgaTEyZAfaCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T17:23:32.008585Z","bundle_sha256":"88ba78df0b8c259f286716e96c2081b47e94c13c1ff803b64b8d72e4b5668b3d"}}