{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:KJ5AAQDSIBXEIS4GQ42OL6NB3T","short_pith_number":"pith:KJ5AAQDS","canonical_record":{"source":{"id":"1504.02437","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-04-09T19:25:33Z","cross_cats_sorted":[],"title_canon_sha256":"5b50ad6c79c6acaacb25ebd6e15cbb402ffbc91eb9c64ba86facc5f61b3f29b1","abstract_canon_sha256":"9a340c8a7d4bbafc5529a4330077faef6bd60c061213e2f46f733bdd7f123595"},"schema_version":"1.0"},"canonical_sha256":"527a004072406e444b868734e5f9a1dcf70743af5f16478902e56bd0c8b0798b","source":{"kind":"arxiv","id":"1504.02437","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.02437","created_at":"2026-05-18T00:37:52Z"},{"alias_kind":"arxiv_version","alias_value":"1504.02437v3","created_at":"2026-05-18T00:37:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.02437","created_at":"2026-05-18T00:37:52Z"},{"alias_kind":"pith_short_12","alias_value":"KJ5AAQDSIBXE","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"KJ5AAQDSIBXEIS4G","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"KJ5AAQDS","created_at":"2026-05-18T12:29:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:KJ5AAQDSIBXEIS4GQ42OL6NB3T","target":"record","payload":{"canonical_record":{"source":{"id":"1504.02437","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-04-09T19:25:33Z","cross_cats_sorted":[],"title_canon_sha256":"5b50ad6c79c6acaacb25ebd6e15cbb402ffbc91eb9c64ba86facc5f61b3f29b1","abstract_canon_sha256":"9a340c8a7d4bbafc5529a4330077faef6bd60c061213e2f46f733bdd7f123595"},"schema_version":"1.0"},"canonical_sha256":"527a004072406e444b868734e5f9a1dcf70743af5f16478902e56bd0c8b0798b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:37:52.993601Z","signature_b64":"CZTB/Aqu9XbHxNyKpXbeOqej129cfcEel/TvP1OX+TlfZba6aAY+cEsF4L36fFMzVbzGHuS+VAmjxi+X70QJBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"527a004072406e444b868734e5f9a1dcf70743af5f16478902e56bd0c8b0798b","last_reissued_at":"2026-05-18T00:37:52.993036Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:37:52.993036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1504.02437","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":"2026-05-18T00:37:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9I9rX5L7vxn/7z6/42EUd54vYb6m96lhEk+GjP6sx2tjlunj88jNsv9e+EvDgEiM23KIUSVn/83jbIXG4VzrDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:09:28.100512Z"},"content_sha256":"f7e3aa43b4d27a8b05e42be728382071e2e07e084a9688bf461f7a4566eaf137","schema_version":"1.0","event_id":"sha256:f7e3aa43b4d27a8b05e42be728382071e2e07e084a9688bf461f7a4566eaf137"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:KJ5AAQDSIBXEIS4GQ42OL6NB3T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Complete 3D Models of Indoor Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuhang Zou, Derek Hoiem, Ruiqi Guo","submitted_at":"2015-04-09T19:25:33Z","abstract_excerpt":"One major goal of vision is to infer physical models of objects, surfaces, and their layout from sensors. In this paper, we aim to interpret indoor scenes from one RGBD image. Our representation encodes the layout of walls, which must conform to a Manhattan structure but is otherwise flexible, and the layout and extent of objects, modeled with CAD-like 3D shapes. We represent both the visible and occluded portions of the scene, producing a complete 3D parse. Such a scene interpretation is useful for robotics and visual reasoning, but difficult to produce due to the well-known challenge of segm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.02437","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":""},"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":"2026-05-18T00:37:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LGar4lb6WYEk8w3ORsWDSI8+0r2Taf5yNyY3yRH3aQfWepQYMaX6s3ydAiHRLZ61VGpNIekmzfuZSM0PY3z7Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:09:28.100963Z"},"content_sha256":"03a09998c8eb4de1572e90fcd1e02a5dcd12d85f1d1ecadfbaf2ed683e5740b7","schema_version":"1.0","event_id":"sha256:03a09998c8eb4de1572e90fcd1e02a5dcd12d85f1d1ecadfbaf2ed683e5740b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KJ5AAQDSIBXEIS4GQ42OL6NB3T/bundle.json","state_url":"https://pith.science/pith/KJ5AAQDSIBXEIS4GQ42OL6NB3T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KJ5AAQDSIBXEIS4GQ42OL6NB3T/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":"2026-05-26T07:09:28Z","links":{"resolver":"https://pith.science/pith/KJ5AAQDSIBXEIS4GQ42OL6NB3T","bundle":"https://pith.science/pith/KJ5AAQDSIBXEIS4GQ42OL6NB3T/bundle.json","state":"https://pith.science/pith/KJ5AAQDSIBXEIS4GQ42OL6NB3T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KJ5AAQDSIBXEIS4GQ42OL6NB3T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:KJ5AAQDSIBXEIS4GQ42OL6NB3T","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":"9a340c8a7d4bbafc5529a4330077faef6bd60c061213e2f46f733bdd7f123595","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-04-09T19:25:33Z","title_canon_sha256":"5b50ad6c79c6acaacb25ebd6e15cbb402ffbc91eb9c64ba86facc5f61b3f29b1"},"schema_version":"1.0","source":{"id":"1504.02437","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.02437","created_at":"2026-05-18T00:37:52Z"},{"alias_kind":"arxiv_version","alias_value":"1504.02437v3","created_at":"2026-05-18T00:37:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.02437","created_at":"2026-05-18T00:37:52Z"},{"alias_kind":"pith_short_12","alias_value":"KJ5AAQDSIBXE","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"KJ5AAQDSIBXEIS4G","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"KJ5AAQDS","created_at":"2026-05-18T12:29:29Z"}],"graph_snapshots":[{"event_id":"sha256:03a09998c8eb4de1572e90fcd1e02a5dcd12d85f1d1ecadfbaf2ed683e5740b7","target":"graph","created_at":"2026-05-18T00:37:52Z","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"},"paper":{"abstract_excerpt":"One major goal of vision is to infer physical models of objects, surfaces, and their layout from sensors. In this paper, we aim to interpret indoor scenes from one RGBD image. Our representation encodes the layout of walls, which must conform to a Manhattan structure but is otherwise flexible, and the layout and extent of objects, modeled with CAD-like 3D shapes. We represent both the visible and occluded portions of the scene, producing a complete 3D parse. Such a scene interpretation is useful for robotics and visual reasoning, but difficult to produce due to the well-known challenge of segm","authors_text":"Chuhang Zou, Derek Hoiem, Ruiqi Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-04-09T19:25:33Z","title":"Predicting Complete 3D Models of Indoor Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.02437","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:f7e3aa43b4d27a8b05e42be728382071e2e07e084a9688bf461f7a4566eaf137","target":"record","created_at":"2026-05-18T00:37:52Z","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":"9a340c8a7d4bbafc5529a4330077faef6bd60c061213e2f46f733bdd7f123595","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-04-09T19:25:33Z","title_canon_sha256":"5b50ad6c79c6acaacb25ebd6e15cbb402ffbc91eb9c64ba86facc5f61b3f29b1"},"schema_version":"1.0","source":{"id":"1504.02437","kind":"arxiv","version":3}},"canonical_sha256":"527a004072406e444b868734e5f9a1dcf70743af5f16478902e56bd0c8b0798b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"527a004072406e444b868734e5f9a1dcf70743af5f16478902e56bd0c8b0798b","first_computed_at":"2026-05-18T00:37:52.993036Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:37:52.993036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CZTB/Aqu9XbHxNyKpXbeOqej129cfcEel/TvP1OX+TlfZba6aAY+cEsF4L36fFMzVbzGHuS+VAmjxi+X70QJBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:37:52.993601Z","signed_message":"canonical_sha256_bytes"},"source_id":"1504.02437","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7e3aa43b4d27a8b05e42be728382071e2e07e084a9688bf461f7a4566eaf137","sha256:03a09998c8eb4de1572e90fcd1e02a5dcd12d85f1d1ecadfbaf2ed683e5740b7"],"state_sha256":"21889994b6e10d6a38ded288f0658721e5268854d3ae762db7ff6a4cb14697a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gNHFHmIuRiJyo225SZmLC9kCA9lFKPA+YnV+mMjSdchjVM1cX0cI4O1uhY1ThALDVFyMNkcED6SdE38XK3YIBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T07:09:28.103672Z","bundle_sha256":"c1a589529f97f84cfd7d6dadd3f0c7d961f8828a740cb4e5011eec5f99917786"}}