{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:4RFLGN7LWBT6MNXAS322AUPGLY","short_pith_number":"pith:4RFLGN7L","canonical_record":{"source":{"id":"1905.07005","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-16T19:19:13Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"dde4cf792a851b1416a31c9860f5987f3edb1f204f1fb68996bb1fb782479040","abstract_canon_sha256":"ac9129dc63994330507aee31007d475b45d0ec4fdf4e08af84ec44ac8be0d3c9"},"schema_version":"1.0"},"canonical_sha256":"e44ab337ebb067e636e096f5a051e65e1bdfb9c023a7a1ae3b322f2c9062aace","source":{"kind":"arxiv","id":"1905.07005","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.07005","created_at":"2026-05-17T23:45:57Z"},{"alias_kind":"arxiv_version","alias_value":"1905.07005v1","created_at":"2026-05-17T23:45:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.07005","created_at":"2026-05-17T23:45:57Z"},{"alias_kind":"pith_short_12","alias_value":"4RFLGN7LWBT6","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4RFLGN7LWBT6MNXA","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4RFLGN7L","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:4RFLGN7LWBT6MNXAS322AUPGLY","target":"record","payload":{"canonical_record":{"source":{"id":"1905.07005","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-16T19:19:13Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"dde4cf792a851b1416a31c9860f5987f3edb1f204f1fb68996bb1fb782479040","abstract_canon_sha256":"ac9129dc63994330507aee31007d475b45d0ec4fdf4e08af84ec44ac8be0d3c9"},"schema_version":"1.0"},"canonical_sha256":"e44ab337ebb067e636e096f5a051e65e1bdfb9c023a7a1ae3b322f2c9062aace","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:57.561207Z","signature_b64":"hqiWd5SwdlZMVDGsE6MixWk11AnUXyaXWGQZrv38+C5z/BnbZq4/plLdLlLn7AIflVX89YsGpdXdLlPw4ZqkDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e44ab337ebb067e636e096f5a051e65e1bdfb9c023a7a1ae3b322f2c9062aace","last_reissued_at":"2026-05-17T23:45:57.560786Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:57.560786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.07005","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":"2026-05-17T23:45:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bkjR2NkbkMju5gZ4AP/nwTVc2YufSbj9CVdNnkAh6R8kAlNwqPrXc2MqnlNia/L9zUXoTaLzslo9G8On+lkAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T05:05:30.482762Z"},"content_sha256":"79051caa60bd5242643d701e61c72c5503aeec67a0076d9aeef7c9bff30ed7cb","schema_version":"1.0","event_id":"sha256:79051caa60bd5242643d701e61c72c5503aeec67a0076d9aeef7c9bff30ed7cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:4RFLGN7LWBT6MNXAS322AUPGLY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"How do neural networks see depth in single images?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Guido C.H.E. de Croon, Tom van Dijk","submitted_at":"2019-05-16T19:19:13Z","abstract_excerpt":"Deep neural networks have lead to a breakthrough in depth estimation from single images. Recent work often focuses on the accuracy of the depth map, where an evaluation on a publicly available test set such as the KITTI vision benchmark is often the main result of the article. While such an evaluation shows how well neural networks can estimate depth, it does not show how they do this. To the best of our knowledge, no work currently exists that analyzes what these networks have learned.\n  In this work we take the MonoDepth network by Godard et al. and investigate what visual cues it exploits f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.07005","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":""},"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":"2026-05-17T23:45:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vZiqFmppx7dpD7C4z7SQMLxNhsmiTqYAmgUnfhIiL1vMRJFA5es9g5xoLLvKOwvWrNOfeylrsDmopo1y5Q+qCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T05:05:30.483104Z"},"content_sha256":"72d6430b7a4dfba83c788e689cb8dde049b81d0fb1979760cc6d4793157fde55","schema_version":"1.0","event_id":"sha256:72d6430b7a4dfba83c788e689cb8dde049b81d0fb1979760cc6d4793157fde55"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4RFLGN7LWBT6MNXAS322AUPGLY/bundle.json","state_url":"https://pith.science/pith/4RFLGN7LWBT6MNXAS322AUPGLY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4RFLGN7LWBT6MNXAS322AUPGLY/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":"2026-06-03T05:05:30Z","links":{"resolver":"https://pith.science/pith/4RFLGN7LWBT6MNXAS322AUPGLY","bundle":"https://pith.science/pith/4RFLGN7LWBT6MNXAS322AUPGLY/bundle.json","state":"https://pith.science/pith/4RFLGN7LWBT6MNXAS322AUPGLY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4RFLGN7LWBT6MNXAS322AUPGLY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4RFLGN7LWBT6MNXAS322AUPGLY","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":"ac9129dc63994330507aee31007d475b45d0ec4fdf4e08af84ec44ac8be0d3c9","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-16T19:19:13Z","title_canon_sha256":"dde4cf792a851b1416a31c9860f5987f3edb1f204f1fb68996bb1fb782479040"},"schema_version":"1.0","source":{"id":"1905.07005","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.07005","created_at":"2026-05-17T23:45:57Z"},{"alias_kind":"arxiv_version","alias_value":"1905.07005v1","created_at":"2026-05-17T23:45:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.07005","created_at":"2026-05-17T23:45:57Z"},{"alias_kind":"pith_short_12","alias_value":"4RFLGN7LWBT6","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4RFLGN7LWBT6MNXA","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4RFLGN7L","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:72d6430b7a4dfba83c788e689cb8dde049b81d0fb1979760cc6d4793157fde55","target":"graph","created_at":"2026-05-17T23:45:57Z","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":"Deep neural networks have lead to a breakthrough in depth estimation from single images. Recent work often focuses on the accuracy of the depth map, where an evaluation on a publicly available test set such as the KITTI vision benchmark is often the main result of the article. While such an evaluation shows how well neural networks can estimate depth, it does not show how they do this. To the best of our knowledge, no work currently exists that analyzes what these networks have learned.\n  In this work we take the MonoDepth network by Godard et al. and investigate what visual cues it exploits f","authors_text":"Guido C.H.E. de Croon, Tom van Dijk","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-16T19:19:13Z","title":"How do neural networks see depth in single images?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.07005","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":"sha256:79051caa60bd5242643d701e61c72c5503aeec67a0076d9aeef7c9bff30ed7cb","target":"record","created_at":"2026-05-17T23:45:57Z","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":"ac9129dc63994330507aee31007d475b45d0ec4fdf4e08af84ec44ac8be0d3c9","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-16T19:19:13Z","title_canon_sha256":"dde4cf792a851b1416a31c9860f5987f3edb1f204f1fb68996bb1fb782479040"},"schema_version":"1.0","source":{"id":"1905.07005","kind":"arxiv","version":1}},"canonical_sha256":"e44ab337ebb067e636e096f5a051e65e1bdfb9c023a7a1ae3b322f2c9062aace","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e44ab337ebb067e636e096f5a051e65e1bdfb9c023a7a1ae3b322f2c9062aace","first_computed_at":"2026-05-17T23:45:57.560786Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:57.560786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hqiWd5SwdlZMVDGsE6MixWk11AnUXyaXWGQZrv38+C5z/BnbZq4/plLdLlLn7AIflVX89YsGpdXdLlPw4ZqkDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:57.561207Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.07005","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79051caa60bd5242643d701e61c72c5503aeec67a0076d9aeef7c9bff30ed7cb","sha256:72d6430b7a4dfba83c788e689cb8dde049b81d0fb1979760cc6d4793157fde55"],"state_sha256":"892768ab5b2ede44bd33615244be1c10c9651e48b3b40dcad9fb37d943c2007e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pEd4BKTsLicJysoFB9lmoIAwYLD4he4kOy8UgELXc5mO4KeWx6plW2/+1NiSARMEPUgXO6pqBHg7NGbg5V1qAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T05:05:30.485036Z","bundle_sha256":"593b78da2e6b53efa53d01b33ca310a4f0528c925e7f7d747eefeebc0f0f79a0"}}