{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DGHUQJAZPQLOWRQ3XZ5KCQRHKA","short_pith_number":"pith:DGHUQJAZ","canonical_record":{"source":{"id":"1806.11430","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T14:18:24Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"8c8eab1bb6a32fb746c86e6e70bece70ebd5f9c685ce73b7501f1a6153c16ca8","abstract_canon_sha256":"9c059aa225d52381a996b54cf6d1aa7a2ef2c9368b6f07f7edcbc1871f62044d"},"schema_version":"1.0"},"canonical_sha256":"198f4824197c16eb461bbe7aa142275005527a31be06afbe48db3482e7c3dfd2","source":{"kind":"arxiv","id":"1806.11430","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11430","created_at":"2026-05-18T00:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11430v3","created_at":"2026-05-18T00:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11430","created_at":"2026-05-18T00:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"DGHUQJAZPQLO","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DGHUQJAZPQLOWRQ3","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DGHUQJAZ","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DGHUQJAZPQLOWRQ3XZ5KCQRHKA","target":"record","payload":{"canonical_record":{"source":{"id":"1806.11430","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T14:18:24Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"8c8eab1bb6a32fb746c86e6e70bece70ebd5f9c685ce73b7501f1a6153c16ca8","abstract_canon_sha256":"9c059aa225d52381a996b54cf6d1aa7a2ef2c9368b6f07f7edcbc1871f62044d"},"schema_version":"1.0"},"canonical_sha256":"198f4824197c16eb461bbe7aa142275005527a31be06afbe48db3482e7c3dfd2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:24.186062Z","signature_b64":"tw1GELZ1Vdoy7OYx+Qg8Hqr3LWy+i1p+zHfv02Sbk2VusQCEyXr5RF7DaGPSCKOmZSTo0EdcoKmxctyYG2fuBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"198f4824197c16eb461bbe7aa142275005527a31be06afbe48db3482e7c3dfd2","last_reissued_at":"2026-05-18T00:09:24.185408Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:24.185408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.11430","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":"2026-05-18T00:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IzVReKssTdFo0XHa63mrFsiw7p8+lg3nmfvVk0zMvZR/KnCJY9etEehV/KNTDLcaE9eUBVxawvMZl2qt9lAJAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:44:16.193873Z"},"content_sha256":"b30535ed989c5c88fd35b6ff7d5760f34f53dedcdc7a04b130725b8fefa84652","schema_version":"1.0","event_id":"sha256:b30535ed989c5c88fd35b6ff7d5760f34f53dedcdc7a04b130725b8fefa84652"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DGHUQJAZPQLOWRQ3XZ5KCQRHKA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards real-time unsupervised monocular depth estimation on CPU","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia","submitted_at":"2018-06-29T14:18:24Z","abstract_excerpt":"Unsupervised depth estimation from a single image is a very attractive technique with several implications in robotic, autonomous navigation, augmented reality and so on. This topic represents a very challenging task and the advent of deep learning enabled to tackle this problem with excellent results. However, these architectures are extremely deep and complex. Thus, real-time performance can be achieved only by leveraging power-hungry GPUs that do not allow to infer depth maps in application fields characterized by low-power constraints. To tackle this issue, in this paper we propose a novel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11430","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":"2026-05-18T00:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WoNnYF7n+/asmpTiFyr7H71iszrqx2kjO21kQxI/JPlTjCZn+gxDK+0qPsv7f4ZO8ctBzlzTCHc/C54f+4eNBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:44:16.194278Z"},"content_sha256":"488f9721fd902229f894050b8f35d8183ab61dbf3e5a9b5e82961c3f88aa9e99","schema_version":"1.0","event_id":"sha256:488f9721fd902229f894050b8f35d8183ab61dbf3e5a9b5e82961c3f88aa9e99"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DGHUQJAZPQLOWRQ3XZ5KCQRHKA/bundle.json","state_url":"https://pith.science/pith/DGHUQJAZPQLOWRQ3XZ5KCQRHKA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DGHUQJAZPQLOWRQ3XZ5KCQRHKA/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":"2026-05-30T08:44:16Z","links":{"resolver":"https://pith.science/pith/DGHUQJAZPQLOWRQ3XZ5KCQRHKA","bundle":"https://pith.science/pith/DGHUQJAZPQLOWRQ3XZ5KCQRHKA/bundle.json","state":"https://pith.science/pith/DGHUQJAZPQLOWRQ3XZ5KCQRHKA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DGHUQJAZPQLOWRQ3XZ5KCQRHKA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DGHUQJAZPQLOWRQ3XZ5KCQRHKA","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":"9c059aa225d52381a996b54cf6d1aa7a2ef2c9368b6f07f7edcbc1871f62044d","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T14:18:24Z","title_canon_sha256":"8c8eab1bb6a32fb746c86e6e70bece70ebd5f9c685ce73b7501f1a6153c16ca8"},"schema_version":"1.0","source":{"id":"1806.11430","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11430","created_at":"2026-05-18T00:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11430v3","created_at":"2026-05-18T00:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11430","created_at":"2026-05-18T00:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"DGHUQJAZPQLO","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DGHUQJAZPQLOWRQ3","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DGHUQJAZ","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:488f9721fd902229f894050b8f35d8183ab61dbf3e5a9b5e82961c3f88aa9e99","target":"graph","created_at":"2026-05-18T00:09:24Z","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":"Unsupervised depth estimation from a single image is a very attractive technique with several implications in robotic, autonomous navigation, augmented reality and so on. This topic represents a very challenging task and the advent of deep learning enabled to tackle this problem with excellent results. However, these architectures are extremely deep and complex. Thus, real-time performance can be achieved only by leveraging power-hungry GPUs that do not allow to infer depth maps in application fields characterized by low-power constraints. To tackle this issue, in this paper we propose a novel","authors_text":"Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T14:18:24Z","title":"Towards real-time unsupervised monocular depth estimation on CPU"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11430","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:b30535ed989c5c88fd35b6ff7d5760f34f53dedcdc7a04b130725b8fefa84652","target":"record","created_at":"2026-05-18T00:09:24Z","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":"9c059aa225d52381a996b54cf6d1aa7a2ef2c9368b6f07f7edcbc1871f62044d","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T14:18:24Z","title_canon_sha256":"8c8eab1bb6a32fb746c86e6e70bece70ebd5f9c685ce73b7501f1a6153c16ca8"},"schema_version":"1.0","source":{"id":"1806.11430","kind":"arxiv","version":3}},"canonical_sha256":"198f4824197c16eb461bbe7aa142275005527a31be06afbe48db3482e7c3dfd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"198f4824197c16eb461bbe7aa142275005527a31be06afbe48db3482e7c3dfd2","first_computed_at":"2026-05-18T00:09:24.185408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:24.185408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tw1GELZ1Vdoy7OYx+Qg8Hqr3LWy+i1p+zHfv02Sbk2VusQCEyXr5RF7DaGPSCKOmZSTo0EdcoKmxctyYG2fuBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:24.186062Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.11430","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b30535ed989c5c88fd35b6ff7d5760f34f53dedcdc7a04b130725b8fefa84652","sha256:488f9721fd902229f894050b8f35d8183ab61dbf3e5a9b5e82961c3f88aa9e99"],"state_sha256":"851532a2afe92994ab189842ec62b06e1214bf165e0f4ed5cb971dc540e9848f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GbAf4gppWHIDq16eTIFOq2dda/OrZydL7uyTWj8aaQdzh8H2+4HIS7UIjfDbS6FMK5OJUvwXBhG9HBQxkpGcAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T08:44:16.196402Z","bundle_sha256":"aff0f135a8194fad71e4ec596dc9bb09e94d56a443601f8a14411e1430122067"}}