{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:MMMMW7EIIAK5I6ZEUGCKBRWRPL","short_pith_number":"pith:MMMMW7EI","schema_version":"1.0","canonical_sha256":"6318cb7c884015d47b24a184a0c6d17ad9014b3603da5b0f6f5e6ffd58c2b764","source":{"kind":"arxiv","id":"2309.01252","version":1},"attestation_state":"computed","paper":{"title":"S2RF: Semantically Stylized Radiance Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dishani Lahiri, Moneish Kumar, Neeraj Panse","submitted_at":"2023-09-03T19:32:49Z","abstract_excerpt":"We present our method for transferring style from any arbitrary image(s) to object(s) within a 3D scene. Our primary objective is to offer more control in 3D scene stylization, facilitating the creation of customizable and stylized scene images from arbitrary viewpoints. To achieve this, we propose a novel approach that incorporates nearest neighborhood-based loss, allowing for flexible 3D scene reconstruction while effectively capturing intricate style details and ensuring multi-view consistency."},"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":"2309.01252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T19:32:49Z","cross_cats_sorted":[],"title_canon_sha256":"66fdb373949afcd47b57dc6ea8a5965765104f01a6a51164fe63ee4af082f807","abstract_canon_sha256":"ec57cbd343d81767a7cce18e18c130a5d6c203c002eabbcfb3c9455259708b27"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:47:35.122495Z","signature_b64":"AAbAgb3CtytLNzD/7/2wJrqxljQo50wi4QAYahMOXYJDqbDo6CSjYppGKJ5vJus1qeuuei4CDlnXXrfvSsCfCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6318cb7c884015d47b24a184a0c6d17ad9014b3603da5b0f6f5e6ffd58c2b764","last_reissued_at":"2026-07-05T06:47:35.122058Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:47:35.122058Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"S2RF: Semantically Stylized Radiance Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dishani Lahiri, Moneish Kumar, Neeraj Panse","submitted_at":"2023-09-03T19:32:49Z","abstract_excerpt":"We present our method for transferring style from any arbitrary image(s) to object(s) within a 3D scene. Our primary objective is to offer more control in 3D scene stylization, facilitating the creation of customizable and stylized scene images from arbitrary viewpoints. To achieve this, we propose a novel approach that incorporates nearest neighborhood-based loss, allowing for flexible 3D scene reconstruction while effectively capturing intricate style details and ensuring multi-view consistency."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01252","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/2309.01252/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":"2309.01252","created_at":"2026-07-05T06:47:35.122112+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.01252v1","created_at":"2026-07-05T06:47:35.122112+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01252","created_at":"2026-07-05T06:47:35.122112+00:00"},{"alias_kind":"pith_short_12","alias_value":"MMMMW7EIIAK5","created_at":"2026-07-05T06:47:35.122112+00:00"},{"alias_kind":"pith_short_16","alias_value":"MMMMW7EIIAK5I6ZE","created_at":"2026-07-05T06:47:35.122112+00:00"},{"alias_kind":"pith_short_8","alias_value":"MMMMW7EI","created_at":"2026-07-05T06:47:35.122112+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/MMMMW7EIIAK5I6ZEUGCKBRWRPL","json":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL.json","graph_json":"https://pith.science/api/pith-number/MMMMW7EIIAK5I6ZEUGCKBRWRPL/graph.json","events_json":"https://pith.science/api/pith-number/MMMMW7EIIAK5I6ZEUGCKBRWRPL/events.json","paper":"https://pith.science/paper/MMMMW7EI"},"agent_actions":{"view_html":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL","download_json":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL.json","view_paper":"https://pith.science/paper/MMMMW7EI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.01252&json=true","fetch_graph":"https://pith.science/api/pith-number/MMMMW7EIIAK5I6ZEUGCKBRWRPL/graph.json","fetch_events":"https://pith.science/api/pith-number/MMMMW7EIIAK5I6ZEUGCKBRWRPL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL/action/storage_attestation","attest_author":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL/action/author_attestation","sign_citation":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL/action/citation_signature","submit_replication":"https://pith.science/pith/MMMMW7EIIAK5I6ZEUGCKBRWRPL/action/replication_record"}},"created_at":"2026-07-05T06:47:35.122112+00:00","updated_at":"2026-07-05T06:47:35.122112+00:00"}