{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JWIJZ4QOW4Q5VWGSKQYMTSDZPH","short_pith_number":"pith:JWIJZ4QO","schema_version":"1.0","canonical_sha256":"4d909cf20eb721dad8d25430c9c87979f2f4ae7d1badee870ffdca6fb952c0bb","source":{"kind":"arxiv","id":"2607.21471","version":1},"attestation_state":"computed","paper":{"title":"Future Rendering $\\neq$ Future Surface: A Benchmark and Dataset for Dynamic Surface Reconstruction Beyond the Observed Window","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Minglun Gong, Yukun Shi","submitted_at":"2026-07-23T16:14:59Z","abstract_excerpt":"Dynamic-scene reconstruction is almost always evaluated inside the observed time window, yet deployment settings such as AR overlays, robot interaction, and anticipatory planning need the future surface: the geometry at times beyond those captured. No standard benchmark measures this. We introduce FutureSurf, a controlled diagnostic benchmark and dataset for future-time surface reconstruction that trades scene diversity for exact future ground truth and falsification controls. A method trains on the observed first 75% of a sequence; we score its extracted per-frame surface on the held-out futu"},"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":"2607.21471","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T16:14:59Z","cross_cats_sorted":[],"title_canon_sha256":"e25a9ccb8f8dbac0ad801732b4df192ecbc9592da2b2084cb35e1b87781cbfa2","abstract_canon_sha256":"de02723f430f606b738ece68009e5fccbc3506ad40ce4ce32d4a12ad18801ab7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-24T01:24:34.753722Z","signature_b64":"YI59Hwl5J2OI0D/iGpErcY2MoQ0+xnP8E2wDsBuo5efj9gHHs/MnprElGzf6R2PJ5llYNRllbsAD7RiYfcePAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d909cf20eb721dad8d25430c9c87979f2f4ae7d1badee870ffdca6fb952c0bb","last_reissued_at":"2026-07-24T01:24:34.752863Z","signature_status":"signed_v1","first_computed_at":"2026-07-24T01:24:34.752863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Future Rendering $\\neq$ Future Surface: A Benchmark and Dataset for Dynamic Surface Reconstruction Beyond the Observed Window","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Minglun Gong, Yukun Shi","submitted_at":"2026-07-23T16:14:59Z","abstract_excerpt":"Dynamic-scene reconstruction is almost always evaluated inside the observed time window, yet deployment settings such as AR overlays, robot interaction, and anticipatory planning need the future surface: the geometry at times beyond those captured. No standard benchmark measures this. We introduce FutureSurf, a controlled diagnostic benchmark and dataset for future-time surface reconstruction that trades scene diversity for exact future ground truth and falsification controls. A method trains on the observed first 75% of a sequence; we score its extracted per-frame surface on the held-out futu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21471","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/2607.21471/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":"2607.21471","created_at":"2026-07-24T01:24:34.753304+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.21471v1","created_at":"2026-07-24T01:24:34.753304+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21471","created_at":"2026-07-24T01:24:34.753304+00:00"},{"alias_kind":"pith_short_12","alias_value":"JWIJZ4QOW4Q5","created_at":"2026-07-24T01:24:34.753304+00:00"},{"alias_kind":"pith_short_16","alias_value":"JWIJZ4QOW4Q5VWGS","created_at":"2026-07-24T01:24:34.753304+00:00"},{"alias_kind":"pith_short_8","alias_value":"JWIJZ4QO","created_at":"2026-07-24T01:24:34.753304+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/JWIJZ4QOW4Q5VWGSKQYMTSDZPH","json":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH.json","graph_json":"https://pith.science/api/pith-number/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/graph.json","events_json":"https://pith.science/api/pith-number/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/events.json","paper":"https://pith.science/paper/JWIJZ4QO"},"agent_actions":{"view_html":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH","download_json":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH.json","view_paper":"https://pith.science/paper/JWIJZ4QO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.21471&json=true","fetch_graph":"https://pith.science/api/pith-number/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/graph.json","fetch_events":"https://pith.science/api/pith-number/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/action/storage_attestation","attest_author":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/action/author_attestation","sign_citation":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/action/citation_signature","submit_replication":"https://pith.science/pith/JWIJZ4QOW4Q5VWGSKQYMTSDZPH/action/replication_record"}},"created_at":"2026-07-24T01:24:34.753304+00:00","updated_at":"2026-07-24T01:24:34.753304+00:00"}