{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:ASCCLSWVJ2INNLHEWMRPDFVYDY","short_pith_number":"pith:ASCCLSWV","schema_version":"1.0","canonical_sha256":"048425cad54e90d6ace4b322f196b81e09fa544dd6338e6a4dad2220be173f69","source":{"kind":"arxiv","id":"1507.08075","version":1},"attestation_state":"computed","paper":{"title":"Low Bit-Rate and High Fidelity Reversible Data Hiding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Hyoung Joong Kim, Run Cui, Suah Kim, Xiaochao Qu","submitted_at":"2015-07-29T09:25:44Z","abstract_excerpt":"An accurate predictor is crucial for histogram-shifting (HS) based reversible data hiding methods. The embedding capacity is increased and the embedding distortion is decreased simultaneously if the predictor can generate accurate predictions. In this paper, we propose an accurate linear predictor based on weighted least squares (WLS) estimation. The robustness of WLS helps the proposed predictor generate accurate predictions, especially in complex texture areas of an image, where other predictors usually fail. To further reduce the embedding distortion, we propose a new embedding method calle"},"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":"1507.08075","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2015-07-29T09:25:44Z","cross_cats_sorted":[],"title_canon_sha256":"12e4729739198b6017fb515899316a37cc8d7b2549c072166b51e0cb37d74088","abstract_canon_sha256":"71f32a8b1920cddc302ced9acc5199519bf71f6ca4d8202cb5991a74829bece0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:36:08.391769Z","signature_b64":"3AHcEEUH7NpGwOYr0QSq74D0b28UBD5kAbfgLrUxhWGcAMl/ba3FAubnKVJqedCuu2S+PDzLDfiGftbRzGPHBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"048425cad54e90d6ace4b322f196b81e09fa544dd6338e6a4dad2220be173f69","last_reissued_at":"2026-05-18T01:36:08.391201Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:36:08.391201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Low Bit-Rate and High Fidelity Reversible Data Hiding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Hyoung Joong Kim, Run Cui, Suah Kim, Xiaochao Qu","submitted_at":"2015-07-29T09:25:44Z","abstract_excerpt":"An accurate predictor is crucial for histogram-shifting (HS) based reversible data hiding methods. The embedding capacity is increased and the embedding distortion is decreased simultaneously if the predictor can generate accurate predictions. In this paper, we propose an accurate linear predictor based on weighted least squares (WLS) estimation. The robustness of WLS helps the proposed predictor generate accurate predictions, especially in complex texture areas of an image, where other predictors usually fail. To further reduce the embedding distortion, we propose a new embedding method calle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1507.08075","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":""},"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":"1507.08075","created_at":"2026-05-18T01:36:08.391311+00:00"},{"alias_kind":"arxiv_version","alias_value":"1507.08075v1","created_at":"2026-05-18T01:36:08.391311+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1507.08075","created_at":"2026-05-18T01:36:08.391311+00:00"},{"alias_kind":"pith_short_12","alias_value":"ASCCLSWVJ2IN","created_at":"2026-05-18T12:29:10.953037+00:00"},{"alias_kind":"pith_short_16","alias_value":"ASCCLSWVJ2INNLHE","created_at":"2026-05-18T12:29:10.953037+00:00"},{"alias_kind":"pith_short_8","alias_value":"ASCCLSWV","created_at":"2026-05-18T12:29:10.953037+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/ASCCLSWVJ2INNLHEWMRPDFVYDY","json":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY.json","graph_json":"https://pith.science/api/pith-number/ASCCLSWVJ2INNLHEWMRPDFVYDY/graph.json","events_json":"https://pith.science/api/pith-number/ASCCLSWVJ2INNLHEWMRPDFVYDY/events.json","paper":"https://pith.science/paper/ASCCLSWV"},"agent_actions":{"view_html":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY","download_json":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY.json","view_paper":"https://pith.science/paper/ASCCLSWV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1507.08075&json=true","fetch_graph":"https://pith.science/api/pith-number/ASCCLSWVJ2INNLHEWMRPDFVYDY/graph.json","fetch_events":"https://pith.science/api/pith-number/ASCCLSWVJ2INNLHEWMRPDFVYDY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY/action/storage_attestation","attest_author":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY/action/author_attestation","sign_citation":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY/action/citation_signature","submit_replication":"https://pith.science/pith/ASCCLSWVJ2INNLHEWMRPDFVYDY/action/replication_record"}},"created_at":"2026-05-18T01:36:08.391311+00:00","updated_at":"2026-05-18T01:36:08.391311+00:00"}