{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:RUUJTTI2EMXNUNVAB75GIIE6NQ","short_pith_number":"pith:RUUJTTI2","canonical_record":{"source":{"id":"1903.08094","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-19T16:32:06Z","cross_cats_sorted":[],"title_canon_sha256":"182fb77002714c79a4c87274ec07afebf672a033a4ae2a598584ba17014ce73f","abstract_canon_sha256":"9561f4c06574f18a46e252c3b39010b12321031db9305c2dd49ef73f6fad8fef"},"schema_version":"1.0"},"canonical_sha256":"8d2899cd1a232eda36a00ffa64209e6c217befd3dc18c64e1ed279a1c801a7f2","source":{"kind":"arxiv","id":"1903.08094","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.08094","created_at":"2026-05-17T23:50:33Z"},{"alias_kind":"arxiv_version","alias_value":"1903.08094v2","created_at":"2026-05-17T23:50:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.08094","created_at":"2026-05-17T23:50:33Z"},{"alias_kind":"pith_short_12","alias_value":"RUUJTTI2EMXN","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"RUUJTTI2EMXNUNVA","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"RUUJTTI2","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:RUUJTTI2EMXNUNVAB75GIIE6NQ","target":"record","payload":{"canonical_record":{"source":{"id":"1903.08094","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-19T16:32:06Z","cross_cats_sorted":[],"title_canon_sha256":"182fb77002714c79a4c87274ec07afebf672a033a4ae2a598584ba17014ce73f","abstract_canon_sha256":"9561f4c06574f18a46e252c3b39010b12321031db9305c2dd49ef73f6fad8fef"},"schema_version":"1.0"},"canonical_sha256":"8d2899cd1a232eda36a00ffa64209e6c217befd3dc18c64e1ed279a1c801a7f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:33.084875Z","signature_b64":"bSNO1nB3XTp5K7pWrjwUxdM1NpJ9sL/QUyUItPYnIoc5Q3ACtzOALggKcSFauerr2zKWlMu4UI10tqt7DJdFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d2899cd1a232eda36a00ffa64209e6c217befd3dc18c64e1ed279a1c801a7f2","last_reissued_at":"2026-05-17T23:50:33.084236Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:33.084236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.08094","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:50:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VCj3FUbqGgnNapCEcne6C1StkEz8IhxSODQ3DMzeQ4eHXpRZh8iD3ZJUoc6nye/BzSvj7IyEaKxtx/yO3pFaCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:16:52.983114Z"},"content_sha256":"ae83f84c1fad02495a443beebdac1a12127536294f35dfb2b9e07e86e6096858","schema_version":"1.0","event_id":"sha256:ae83f84c1fad02495a443beebdac1a12127536294f35dfb2b9e07e86e6096858"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:RUUJTTI2EMXNUNVAB75GIIE6NQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Corners for Layout: End-to-End Layout Recovery from 360 Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alejandro Perez-Yus, C\\'edric Demonceaux, Clara Fernandez-Labrador, Javier Civera, Jose J. Guerrero, Jose M. Facil","submitted_at":"2019-03-19T16:32:06Z","abstract_excerpt":"The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among the most relevant ones, a major part of the state-of-the-art methods make implicit or explicit assumptions on the scenes -- e.g. box-shaped or Manhattan layouts. Also, current methods are computationally expensive and not suitable for real-time applications like robot navigation and AR/VR. In this work we present CFL (Corners for Layout), the first end-to-end model for 3D layout recovery on 360 images. Our experimenta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.08094","kind":"arxiv","version":2},"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":"2026-05-17T23:50:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DFTkv45RW0Z6Jcr+z3JcwlYcjyY7xQpmmjUKGTmiOb93waEu87yBmoHKhgjnSZmc3GlHt4FTc9+TdvH0PedZDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:16:52.983478Z"},"content_sha256":"4da066a5fde80aa1f671cc327b2c69952a2ab00506f173c1cd8b14cb67d5cb3b","schema_version":"1.0","event_id":"sha256:4da066a5fde80aa1f671cc327b2c69952a2ab00506f173c1cd8b14cb67d5cb3b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RUUJTTI2EMXNUNVAB75GIIE6NQ/bundle.json","state_url":"https://pith.science/pith/RUUJTTI2EMXNUNVAB75GIIE6NQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RUUJTTI2EMXNUNVAB75GIIE6NQ/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":"2026-06-12T09:16:52Z","links":{"resolver":"https://pith.science/pith/RUUJTTI2EMXNUNVAB75GIIE6NQ","bundle":"https://pith.science/pith/RUUJTTI2EMXNUNVAB75GIIE6NQ/bundle.json","state":"https://pith.science/pith/RUUJTTI2EMXNUNVAB75GIIE6NQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RUUJTTI2EMXNUNVAB75GIIE6NQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:RUUJTTI2EMXNUNVAB75GIIE6NQ","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":"9561f4c06574f18a46e252c3b39010b12321031db9305c2dd49ef73f6fad8fef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-19T16:32:06Z","title_canon_sha256":"182fb77002714c79a4c87274ec07afebf672a033a4ae2a598584ba17014ce73f"},"schema_version":"1.0","source":{"id":"1903.08094","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.08094","created_at":"2026-05-17T23:50:33Z"},{"alias_kind":"arxiv_version","alias_value":"1903.08094v2","created_at":"2026-05-17T23:50:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.08094","created_at":"2026-05-17T23:50:33Z"},{"alias_kind":"pith_short_12","alias_value":"RUUJTTI2EMXN","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"RUUJTTI2EMXNUNVA","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"RUUJTTI2","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:4da066a5fde80aa1f671cc327b2c69952a2ab00506f173c1cd8b14cb67d5cb3b","target":"graph","created_at":"2026-05-17T23:50:33Z","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":"The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among the most relevant ones, a major part of the state-of-the-art methods make implicit or explicit assumptions on the scenes -- e.g. box-shaped or Manhattan layouts. Also, current methods are computationally expensive and not suitable for real-time applications like robot navigation and AR/VR. In this work we present CFL (Corners for Layout), the first end-to-end model for 3D layout recovery on 360 images. Our experimenta","authors_text":"Alejandro Perez-Yus, C\\'edric Demonceaux, Clara Fernandez-Labrador, Javier Civera, Jose J. Guerrero, Jose M. Facil","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-19T16:32:06Z","title":"Corners for Layout: End-to-End Layout Recovery from 360 Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.08094","kind":"arxiv","version":2},"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:ae83f84c1fad02495a443beebdac1a12127536294f35dfb2b9e07e86e6096858","target":"record","created_at":"2026-05-17T23:50:33Z","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":"9561f4c06574f18a46e252c3b39010b12321031db9305c2dd49ef73f6fad8fef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-19T16:32:06Z","title_canon_sha256":"182fb77002714c79a4c87274ec07afebf672a033a4ae2a598584ba17014ce73f"},"schema_version":"1.0","source":{"id":"1903.08094","kind":"arxiv","version":2}},"canonical_sha256":"8d2899cd1a232eda36a00ffa64209e6c217befd3dc18c64e1ed279a1c801a7f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d2899cd1a232eda36a00ffa64209e6c217befd3dc18c64e1ed279a1c801a7f2","first_computed_at":"2026-05-17T23:50:33.084236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:33.084236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bSNO1nB3XTp5K7pWrjwUxdM1NpJ9sL/QUyUItPYnIoc5Q3ACtzOALggKcSFauerr2zKWlMu4UI10tqt7DJdFCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:33.084875Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.08094","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae83f84c1fad02495a443beebdac1a12127536294f35dfb2b9e07e86e6096858","sha256:4da066a5fde80aa1f671cc327b2c69952a2ab00506f173c1cd8b14cb67d5cb3b"],"state_sha256":"84898668cca169e3c0c02a258999ec371ab5def001b08c4566820b8680e6fa62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7OnihtmfPzRP7YARfMBnK4nDvfNJysuza7YS28imIBhlXdaV48I4C2a8HD02pAzGIfE2beL4sSGl1j39+3FTAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T09:16:52.985458Z","bundle_sha256":"655892f4f949c1771883f42a6ef70991b2657f36771cf68b31502279ed80a8be"}}