{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:27VE3LSLLPXSFAQEYVGOT2ZWB2","short_pith_number":"pith:27VE3LSL","canonical_record":{"source":{"id":"2307.09929","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T12:11:15Z","cross_cats_sorted":[],"title_canon_sha256":"e9fd733d2f9ae912ca7e2139760843be8c6757d0fcd684ac2326e969843b93eb","abstract_canon_sha256":"7e27da1e6cc4b1efc4bc555cec3a723bf00a17544faa815a969625e813add908"},"schema_version":"1.0"},"canonical_sha256":"d7ea4dae4b5bef228204c54ce9eb360eb4d0776286c78061a8c3d1fe47fa0f91","source":{"kind":"arxiv","id":"2307.09929","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09929","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09929v1","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09929","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"pith_short_12","alias_value":"27VE3LSLLPXS","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"pith_short_16","alias_value":"27VE3LSLLPXSFAQE","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"pith_short_8","alias_value":"27VE3LSL","created_at":"2026-07-05T06:32:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:27VE3LSLLPXSFAQEYVGOT2ZWB2","target":"record","payload":{"canonical_record":{"source":{"id":"2307.09929","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T12:11:15Z","cross_cats_sorted":[],"title_canon_sha256":"e9fd733d2f9ae912ca7e2139760843be8c6757d0fcd684ac2326e969843b93eb","abstract_canon_sha256":"7e27da1e6cc4b1efc4bc555cec3a723bf00a17544faa815a969625e813add908"},"schema_version":"1.0"},"canonical_sha256":"d7ea4dae4b5bef228204c54ce9eb360eb4d0776286c78061a8c3d1fe47fa0f91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:48.123190Z","signature_b64":"/5i/CzokyHYCpNqHs8vrXlqujKg3Y6ziIfjocMQOxRf3VKL7EE8lw8W/pnSl5atoI7HuSEqQFvIFZBZu0aebDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7ea4dae4b5bef228204c54ce9eb360eb4d0776286c78061a8c3d1fe47fa0f91","last_reissued_at":"2026-07-05T06:32:48.122788Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:48.122788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.09929","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:32:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0SzMbPcUPC6tDc+4NDVu3ITP0A3zHYPXrkuWJlf+oTt76qwbUyCcOa7SNIersjt3AZbCZSFOJkjG98itaeImCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:34:38.111642Z"},"content_sha256":"29a3a3aa20aa02ccfd95a31f190c7cbf89804c8dc9a30bf2aee3a608a982f43e","schema_version":"1.0","event_id":"sha256:29a3a3aa20aa02ccfd95a31f190c7cbf89804c8dc9a30bf2aee3a608a982f43e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:27VE3LSLLPXSFAQEYVGOT2ZWB2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jing Zhang, Mochu Xiang, Nick Barnes, Yuchao Dai","submitted_at":"2023-07-19T12:11:15Z","abstract_excerpt":"Effectively measuring and modeling the reliability of a trained model is essential to the real-world deployment of monocular depth estimation (MDE) models. However, the intrinsic ill-posedness and ordinal-sensitive nature of MDE pose major challenges to the estimation of uncertainty degree of the trained models. On the one hand, utilizing current uncertainty modeling methods may increase memory consumption and are usually time-consuming. On the other hand, measuring the uncertainty based on model accuracy can also be problematic, where uncertainty reliability and prediction accuracy are not we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09929","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/2307.09929/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":"2026-07-05T06:32:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b2owm4hhMm1nxBQYAh77u/sF6nOvoYHbnRDmQpVLgvW+1jnpPHG6ecJTH92eXqTYnBYw+O7XFloptoVps38TCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:34:38.112011Z"},"content_sha256":"299f8b21519133f4668127e9bc266d6cae0b000a7eb24198683c5214a181d2d7","schema_version":"1.0","event_id":"sha256:299f8b21519133f4668127e9bc266d6cae0b000a7eb24198683c5214a181d2d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/27VE3LSLLPXSFAQEYVGOT2ZWB2/bundle.json","state_url":"https://pith.science/pith/27VE3LSLLPXSFAQEYVGOT2ZWB2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/27VE3LSLLPXSFAQEYVGOT2ZWB2/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":"2026-07-06T16:34:38Z","links":{"resolver":"https://pith.science/pith/27VE3LSLLPXSFAQEYVGOT2ZWB2","bundle":"https://pith.science/pith/27VE3LSLLPXSFAQEYVGOT2ZWB2/bundle.json","state":"https://pith.science/pith/27VE3LSLLPXSFAQEYVGOT2ZWB2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/27VE3LSLLPXSFAQEYVGOT2ZWB2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:27VE3LSLLPXSFAQEYVGOT2ZWB2","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":"7e27da1e6cc4b1efc4bc555cec3a723bf00a17544faa815a969625e813add908","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T12:11:15Z","title_canon_sha256":"e9fd733d2f9ae912ca7e2139760843be8c6757d0fcd684ac2326e969843b93eb"},"schema_version":"1.0","source":{"id":"2307.09929","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09929","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09929v1","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09929","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"pith_short_12","alias_value":"27VE3LSLLPXS","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"pith_short_16","alias_value":"27VE3LSLLPXSFAQE","created_at":"2026-07-05T06:32:48Z"},{"alias_kind":"pith_short_8","alias_value":"27VE3LSL","created_at":"2026-07-05T06:32:48Z"}],"graph_snapshots":[{"event_id":"sha256:299f8b21519133f4668127e9bc266d6cae0b000a7eb24198683c5214a181d2d7","target":"graph","created_at":"2026-07-05T06:32:48Z","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/2307.09929/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effectively measuring and modeling the reliability of a trained model is essential to the real-world deployment of monocular depth estimation (MDE) models. However, the intrinsic ill-posedness and ordinal-sensitive nature of MDE pose major challenges to the estimation of uncertainty degree of the trained models. On the one hand, utilizing current uncertainty modeling methods may increase memory consumption and are usually time-consuming. On the other hand, measuring the uncertainty based on model accuracy can also be problematic, where uncertainty reliability and prediction accuracy are not we","authors_text":"Jing Zhang, Mochu Xiang, Nick Barnes, Yuchao Dai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T12:11:15Z","title":"Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09929","kind":"arxiv","version":1},"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":"sha256:29a3a3aa20aa02ccfd95a31f190c7cbf89804c8dc9a30bf2aee3a608a982f43e","target":"record","created_at":"2026-07-05T06:32:48Z","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":"7e27da1e6cc4b1efc4bc555cec3a723bf00a17544faa815a969625e813add908","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T12:11:15Z","title_canon_sha256":"e9fd733d2f9ae912ca7e2139760843be8c6757d0fcd684ac2326e969843b93eb"},"schema_version":"1.0","source":{"id":"2307.09929","kind":"arxiv","version":1}},"canonical_sha256":"d7ea4dae4b5bef228204c54ce9eb360eb4d0776286c78061a8c3d1fe47fa0f91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7ea4dae4b5bef228204c54ce9eb360eb4d0776286c78061a8c3d1fe47fa0f91","first_computed_at":"2026-07-05T06:32:48.122788Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:48.122788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/5i/CzokyHYCpNqHs8vrXlqujKg3Y6ziIfjocMQOxRf3VKL7EE8lw8W/pnSl5atoI7HuSEqQFvIFZBZu0aebDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:48.123190Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.09929","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29a3a3aa20aa02ccfd95a31f190c7cbf89804c8dc9a30bf2aee3a608a982f43e","sha256:299f8b21519133f4668127e9bc266d6cae0b000a7eb24198683c5214a181d2d7"],"state_sha256":"5535be7f5fc9e2c0231fa447fd893368f6104ba813c208c7b5aa75a7297ae505"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vYpBFg7zyyDxZVXLb6HjqGOv1McZdy9ODYo/JQz+FI6TXRvmcVnS0NizIflulb+zcfv2D+RvBniiWHo5cJj3Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:34:38.114075Z","bundle_sha256":"fc2aa93082afc3611c58b3ae3ea51d4212d2f6e2a53c979ae7ca17819019ba4c"}}