{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:4QHCRHD2SZAHSYWOBVAIX45VBN","short_pith_number":"pith:4QHCRHD2","schema_version":"1.0","canonical_sha256":"e40e289c7a96407962ce0d408bf3b50b4b3d0e3064a14e0e60e030a63f3fd517","source":{"kind":"arxiv","id":"2508.07140","version":2},"attestation_state":"computed","paper":{"title":"CMAMRNet: A Contextual Mask-Aware Network Enhancing Mural Restoration Through Comprehensive Mask Guidance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chi-Man Pun, Fanghai Yi, Weihuang Liu, Xiaofeng Zhang, Xuhang Chen, Yihang Dong, Yingtie Lei, Zimeng Li","submitted_at":"2025-08-10T02:00:45Z","abstract_excerpt":"Murals, as invaluable cultural artifacts, face continuous deterioration from environmental factors and human activities. Digital restoration of murals faces unique challenges due to their complex degradation patterns and the critical need to preserve artistic authenticity. Existing learning-based methods struggle with maintaining consistent mask guidance throughout their networks, leading to insufficient focus on damaged regions and compromised restoration quality. We propose CMAMRNet, a Contextual Mask-Aware Mural Restoration Network that addresses these limitations through comprehensive mask"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2508.07140","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-10T02:00:45Z","cross_cats_sorted":[],"title_canon_sha256":"73b38d89c73283056254c7396103dcadb94bd0396f82c7588eebb095a0edb468","abstract_canon_sha256":"fca3346ddb7ac1adf6a9952e022d11fe5b1e6a1610be4120619a814a6137ef0b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:00.821629Z","signature_b64":"XblzknxxW5tzUiIERbepnj004252TkHgUztK8I5gRnOK7DgmXwi1loF6zxjZDQUO7gWUwAkF3FlIFIWIwMm6Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e40e289c7a96407962ce0d408bf3b50b4b3d0e3064a14e0e60e030a63f3fd517","last_reissued_at":"2026-07-05T11:57:00.821149Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:00.821149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CMAMRNet: A Contextual Mask-Aware Network Enhancing Mural Restoration Through Comprehensive Mask Guidance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chi-Man Pun, Fanghai Yi, Weihuang Liu, Xiaofeng Zhang, Xuhang Chen, Yihang Dong, Yingtie Lei, Zimeng Li","submitted_at":"2025-08-10T02:00:45Z","abstract_excerpt":"Murals, as invaluable cultural artifacts, face continuous deterioration from environmental factors and human activities. Digital restoration of murals faces unique challenges due to their complex degradation patterns and the critical need to preserve artistic authenticity. Existing learning-based methods struggle with maintaining consistent mask guidance throughout their networks, leading to insufficient focus on damaged regions and compromised restoration quality. We propose CMAMRNet, a Contextual Mask-Aware Mural Restoration Network that addresses these limitations through comprehensive mask"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07140","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/2508.07140/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.07140","created_at":"2026-07-05T11:57:00.821210+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.07140v2","created_at":"2026-07-05T11:57:00.821210+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07140","created_at":"2026-07-05T11:57:00.821210+00:00"},{"alias_kind":"pith_short_12","alias_value":"4QHCRHD2SZAH","created_at":"2026-07-05T11:57:00.821210+00:00"},{"alias_kind":"pith_short_16","alias_value":"4QHCRHD2SZAHSYWO","created_at":"2026-07-05T11:57:00.821210+00:00"},{"alias_kind":"pith_short_8","alias_value":"4QHCRHD2","created_at":"2026-07-05T11:57:00.821210+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN","json":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN.json","graph_json":"https://pith.science/api/pith-number/4QHCRHD2SZAHSYWOBVAIX45VBN/graph.json","events_json":"https://pith.science/api/pith-number/4QHCRHD2SZAHSYWOBVAIX45VBN/events.json","paper":"https://pith.science/paper/4QHCRHD2"},"agent_actions":{"view_html":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN","download_json":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN.json","view_paper":"https://pith.science/paper/4QHCRHD2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.07140&json=true","fetch_graph":"https://pith.science/api/pith-number/4QHCRHD2SZAHSYWOBVAIX45VBN/graph.json","fetch_events":"https://pith.science/api/pith-number/4QHCRHD2SZAHSYWOBVAIX45VBN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN/action/storage_attestation","attest_author":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN/action/author_attestation","sign_citation":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN/action/citation_signature","submit_replication":"https://pith.science/pith/4QHCRHD2SZAHSYWOBVAIX45VBN/action/replication_record"}},"created_at":"2026-07-05T11:57:00.821210+00:00","updated_at":"2026-07-05T11:57:00.821210+00:00"}