{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6F2OM454XUATRXIXUCRZIXBSHT","short_pith_number":"pith:6F2OM454","canonical_record":{"source":{"id":"2306.17643","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-30T13:30:48Z","cross_cats_sorted":[],"title_canon_sha256":"4d64cdea6c4e211f5fa20b7f1c0ed14b4606e935b1909197f2cbafc9431c2338","abstract_canon_sha256":"1602caee9506f9d3549d303eac4b6aea97ca127fbd0b168b53916613e3d66b73"},"schema_version":"1.0"},"canonical_sha256":"f174e673bcbd0138dd17a0a3945c323cfed5a9a0db8d702cc8c7bd33fb7d8a89","source":{"kind":"arxiv","id":"2306.17643","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.17643","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"arxiv_version","alias_value":"2306.17643v3","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.17643","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"pith_short_12","alias_value":"6F2OM454XUAT","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"pith_short_16","alias_value":"6F2OM454XUATRXIX","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"pith_short_8","alias_value":"6F2OM454","created_at":"2026-07-05T06:27:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6F2OM454XUATRXIXUCRZIXBSHT","target":"record","payload":{"canonical_record":{"source":{"id":"2306.17643","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-30T13:30:48Z","cross_cats_sorted":[],"title_canon_sha256":"4d64cdea6c4e211f5fa20b7f1c0ed14b4606e935b1909197f2cbafc9431c2338","abstract_canon_sha256":"1602caee9506f9d3549d303eac4b6aea97ca127fbd0b168b53916613e3d66b73"},"schema_version":"1.0"},"canonical_sha256":"f174e673bcbd0138dd17a0a3945c323cfed5a9a0db8d702cc8c7bd33fb7d8a89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:27:52.281453Z","signature_b64":"eTlHFsSzj5Nbz/z5Zz7XJ8k2QcIXFYjK0tf00y/BDsg0AgG+eMQW76cb2hLl8KWRiZdeVg0B/oZ+m2TS8srWBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f174e673bcbd0138dd17a0a3945c323cfed5a9a0db8d702cc8c7bd33fb7d8a89","last_reissued_at":"2026-07-05T06:27:52.280925Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:27:52.280925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.17643","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:27:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j3j2J2IOcmO3qlmsl+5LYdREPNZ8WdSQ+8fdpWnZl8ysNR3uMJ4lhNexPYufG8VbppjRTqoRDBoPczEMveFiAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:04:15.455480Z"},"content_sha256":"2ceb89a34ac7cba48598ccbf2c10bbdab059508eb4004cb3c9f794aca9cc080b","schema_version":"1.0","event_id":"sha256:2ceb89a34ac7cba48598ccbf2c10bbdab059508eb4004cb3c9f794aca9cc080b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6F2OM454XUATRXIXUCRZIXBSHT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Che Sun, Yi Guo, Yunde Jia, Yuwei Wu","submitted_at":"2023-06-30T13:30:48Z","abstract_excerpt":"Neural 3D scene reconstruction methods have achieved impressive performance when reconstructing complex geometry and low-textured regions in indoor scenes. However, these methods heavily rely on 3D data which is costly and time-consuming to obtain in real world. In this paper, we propose a novel neural reconstruction method that reconstructs scenes using sparse depth under the plane constraints without 3D supervision. We introduce a signed distance function field, a color field, and a probability field to represent a scene. We optimize these fields to reconstruct the scene by using differentia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.17643","kind":"arxiv","version":3},"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/2306.17643/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":"2026-07-05T06:27:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sgPRUppE7H6hVjUmK53Er4UGkEdIAZuFzUo1vXPpvEwEhpTdOisPlu5/dpLa/1jo5oHKJhp5+60mpD4bL0RWBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:04:15.456051Z"},"content_sha256":"f69aa364ab3874274873445914814b862a3eab313f3487c13862f4cc01d7b52e","schema_version":"1.0","event_id":"sha256:f69aa364ab3874274873445914814b862a3eab313f3487c13862f4cc01d7b52e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6F2OM454XUATRXIXUCRZIXBSHT/bundle.json","state_url":"https://pith.science/pith/6F2OM454XUATRXIXUCRZIXBSHT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6F2OM454XUATRXIXUCRZIXBSHT/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":"2026-08-21T10:04:15Z","links":{"resolver":"https://pith.science/pith/6F2OM454XUATRXIXUCRZIXBSHT","bundle":"https://pith.science/pith/6F2OM454XUATRXIXUCRZIXBSHT/bundle.json","state":"https://pith.science/pith/6F2OM454XUATRXIXUCRZIXBSHT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6F2OM454XUATRXIXUCRZIXBSHT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6F2OM454XUATRXIXUCRZIXBSHT","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":"1602caee9506f9d3549d303eac4b6aea97ca127fbd0b168b53916613e3d66b73","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-30T13:30:48Z","title_canon_sha256":"4d64cdea6c4e211f5fa20b7f1c0ed14b4606e935b1909197f2cbafc9431c2338"},"schema_version":"1.0","source":{"id":"2306.17643","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.17643","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"arxiv_version","alias_value":"2306.17643v3","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.17643","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"pith_short_12","alias_value":"6F2OM454XUAT","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"pith_short_16","alias_value":"6F2OM454XUATRXIX","created_at":"2026-07-05T06:27:52Z"},{"alias_kind":"pith_short_8","alias_value":"6F2OM454","created_at":"2026-07-05T06:27:52Z"}],"graph_snapshots":[{"event_id":"sha256:f69aa364ab3874274873445914814b862a3eab313f3487c13862f4cc01d7b52e","target":"graph","created_at":"2026-07-05T06:27:52Z","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/2306.17643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural 3D scene reconstruction methods have achieved impressive performance when reconstructing complex geometry and low-textured regions in indoor scenes. However, these methods heavily rely on 3D data which is costly and time-consuming to obtain in real world. In this paper, we propose a novel neural reconstruction method that reconstructs scenes using sparse depth under the plane constraints without 3D supervision. We introduce a signed distance function field, a color field, and a probability field to represent a scene. We optimize these fields to reconstruct the scene by using differentia","authors_text":"Che Sun, Yi Guo, Yunde Jia, Yuwei Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-30T13:30:48Z","title":"Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.17643","kind":"arxiv","version":3},"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":"sha256:2ceb89a34ac7cba48598ccbf2c10bbdab059508eb4004cb3c9f794aca9cc080b","target":"record","created_at":"2026-07-05T06:27:52Z","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":"1602caee9506f9d3549d303eac4b6aea97ca127fbd0b168b53916613e3d66b73","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-30T13:30:48Z","title_canon_sha256":"4d64cdea6c4e211f5fa20b7f1c0ed14b4606e935b1909197f2cbafc9431c2338"},"schema_version":"1.0","source":{"id":"2306.17643","kind":"arxiv","version":3}},"canonical_sha256":"f174e673bcbd0138dd17a0a3945c323cfed5a9a0db8d702cc8c7bd33fb7d8a89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f174e673bcbd0138dd17a0a3945c323cfed5a9a0db8d702cc8c7bd33fb7d8a89","first_computed_at":"2026-07-05T06:27:52.280925Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:27:52.280925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eTlHFsSzj5Nbz/z5Zz7XJ8k2QcIXFYjK0tf00y/BDsg0AgG+eMQW76cb2hLl8KWRiZdeVg0B/oZ+m2TS8srWBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:27:52.281453Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.17643","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ceb89a34ac7cba48598ccbf2c10bbdab059508eb4004cb3c9f794aca9cc080b","sha256:f69aa364ab3874274873445914814b862a3eab313f3487c13862f4cc01d7b52e"],"state_sha256":"3e9d78a87a8a467ad55e05fb8974ade2c8796c5f1f3118f63a2150a4ec81e8f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xwp2fUHocLJ0816nGcG82WTgiOqUKgghFP31eSqwIT+qZuSGxvxMhOufLONuW3vGX6WXo2uh7qJuqJ+n7WV+Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T10:04:15.459845Z","bundle_sha256":"9851aa0ab9bcb32b0af6b8edefb030edffd182c86966f6692b86d0522c839e64"}}