{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:2E5NNHEYOPPF6YQM6KWXLJDAQE","short_pith_number":"pith:2E5NNHEY","canonical_record":{"source":{"id":"2003.08282","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-18T15:44:05Z","cross_cats_sorted":[],"title_canon_sha256":"bf749eed383a6fa79a6bc8bb81b309bd27497950ce2dc0c673aa6c7410ee60cb","abstract_canon_sha256":"9fca87d28cec52a52858138f69619922e7a764a7cc2e5af85ebdaf554ff63090"},"schema_version":"1.0"},"canonical_sha256":"d13ad69c9873de5f620cf2ad75a460813b9fcd1245e6138e69f1d52ac9ee8db3","source":{"kind":"arxiv","id":"2003.08282","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.08282","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"arxiv_version","alias_value":"2003.08282v2","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.08282","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"pith_short_12","alias_value":"2E5NNHEYOPPF","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"pith_short_16","alias_value":"2E5NNHEYOPPF6YQM","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"pith_short_8","alias_value":"2E5NNHEY","created_at":"2026-07-05T00:49:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:2E5NNHEYOPPF6YQM6KWXLJDAQE","target":"record","payload":{"canonical_record":{"source":{"id":"2003.08282","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-18T15:44:05Z","cross_cats_sorted":[],"title_canon_sha256":"bf749eed383a6fa79a6bc8bb81b309bd27497950ce2dc0c673aa6c7410ee60cb","abstract_canon_sha256":"9fca87d28cec52a52858138f69619922e7a764a7cc2e5af85ebdaf554ff63090"},"schema_version":"1.0"},"canonical_sha256":"d13ad69c9873de5f620cf2ad75a460813b9fcd1245e6138e69f1d52ac9ee8db3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:49:43.127426Z","signature_b64":"kprZw0V3698Fi9GJiV3CbBUnlxaM+m2XYkiPsvFqOS4DBkBi0Nk1I3FhnBYk+gLC/aX6dUkBK2AJB9KWAf6BAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d13ad69c9873de5f620cf2ad75a460813b9fcd1245e6138e69f1d52ac9ee8db3","last_reissued_at":"2026-07-05T00:49:43.126927Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:49:43.126927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.08282","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":"2026-07-05T00:49:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V7anbbRvtnmy5aMdYPYKii8NZqTllmQhnV6BykDwzfj1hW9nUukUKpkq0nvI31hz5NNe/n6NbyogkY5CdYMfCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:45:45.106589Z"},"content_sha256":"30dc35585bb88f91d555f08e2fd6196b1e5e8b6b31f8e99d17a5ce1ba173e1e7","schema_version":"1.0","event_id":"sha256:30dc35585bb88f91d555f08e2fd6196b1e5e8b6b31f8e99d17a5ce1ba173e1e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:2E5NNHEYOPPF6YQM6KWXLJDAQE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Keigo Hirakawa, Mohammed Almatrafi, R. Wes Baldwin, Vijayan Asari","submitted_at":"2020-03-18T15:44:05Z","abstract_excerpt":"This paper presents a novel method for labeling real-world neuromorphic camera sensor data by calculating the likelihood of generating an event at each pixel within a short time window, which we refer to as \"event probability mask\" or EPM. Its applications include (i) objective benchmarking of event denoising performance, (ii) training convolutional neural networks for noise removal called \"event denoising convolutional neural network\" (EDnCNN), and (iii) estimating internal neuromorphic camera parameters. We provide the first dataset (DVSNOISE20) of real-world labeled neuromorphic camera even"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.08282","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2003.08282/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":"2026-07-05T00:49:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XRJ3Xyqwa8XvEfxcZ9+++gl1b6lXRyG+JfKvFyS9kMDE8MQVtM9KZTCi8Ktqv4viCGrf/qvTvPSSBz7YbsBrAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:45:45.106929Z"},"content_sha256":"328f9f4e2611053246d1b47317a681e7e4d14200e08f9844d0bad88654adca58","schema_version":"1.0","event_id":"sha256:328f9f4e2611053246d1b47317a681e7e4d14200e08f9844d0bad88654adca58"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2E5NNHEYOPPF6YQM6KWXLJDAQE/bundle.json","state_url":"https://pith.science/pith/2E5NNHEYOPPF6YQM6KWXLJDAQE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2E5NNHEYOPPF6YQM6KWXLJDAQE/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":"2026-08-18T15:45:45Z","links":{"resolver":"https://pith.science/pith/2E5NNHEYOPPF6YQM6KWXLJDAQE","bundle":"https://pith.science/pith/2E5NNHEYOPPF6YQM6KWXLJDAQE/bundle.json","state":"https://pith.science/pith/2E5NNHEYOPPF6YQM6KWXLJDAQE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2E5NNHEYOPPF6YQM6KWXLJDAQE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2E5NNHEYOPPF6YQM6KWXLJDAQE","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":"9fca87d28cec52a52858138f69619922e7a764a7cc2e5af85ebdaf554ff63090","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-18T15:44:05Z","title_canon_sha256":"bf749eed383a6fa79a6bc8bb81b309bd27497950ce2dc0c673aa6c7410ee60cb"},"schema_version":"1.0","source":{"id":"2003.08282","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.08282","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"arxiv_version","alias_value":"2003.08282v2","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.08282","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"pith_short_12","alias_value":"2E5NNHEYOPPF","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"pith_short_16","alias_value":"2E5NNHEYOPPF6YQM","created_at":"2026-07-05T00:49:43Z"},{"alias_kind":"pith_short_8","alias_value":"2E5NNHEY","created_at":"2026-07-05T00:49:43Z"}],"graph_snapshots":[{"event_id":"sha256:328f9f4e2611053246d1b47317a681e7e4d14200e08f9844d0bad88654adca58","target":"graph","created_at":"2026-07-05T00:49:43Z","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/2003.08282/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a novel method for labeling real-world neuromorphic camera sensor data by calculating the likelihood of generating an event at each pixel within a short time window, which we refer to as \"event probability mask\" or EPM. Its applications include (i) objective benchmarking of event denoising performance, (ii) training convolutional neural networks for noise removal called \"event denoising convolutional neural network\" (EDnCNN), and (iii) estimating internal neuromorphic camera parameters. We provide the first dataset (DVSNOISE20) of real-world labeled neuromorphic camera even","authors_text":"Keigo Hirakawa, Mohammed Almatrafi, R. Wes Baldwin, Vijayan Asari","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-18T15:44:05Z","title":"Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.08282","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":"sha256:30dc35585bb88f91d555f08e2fd6196b1e5e8b6b31f8e99d17a5ce1ba173e1e7","target":"record","created_at":"2026-07-05T00:49:43Z","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":"9fca87d28cec52a52858138f69619922e7a764a7cc2e5af85ebdaf554ff63090","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-18T15:44:05Z","title_canon_sha256":"bf749eed383a6fa79a6bc8bb81b309bd27497950ce2dc0c673aa6c7410ee60cb"},"schema_version":"1.0","source":{"id":"2003.08282","kind":"arxiv","version":2}},"canonical_sha256":"d13ad69c9873de5f620cf2ad75a460813b9fcd1245e6138e69f1d52ac9ee8db3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d13ad69c9873de5f620cf2ad75a460813b9fcd1245e6138e69f1d52ac9ee8db3","first_computed_at":"2026-07-05T00:49:43.126927Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:49:43.126927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kprZw0V3698Fi9GJiV3CbBUnlxaM+m2XYkiPsvFqOS4DBkBi0Nk1I3FhnBYk+gLC/aX6dUkBK2AJB9KWAf6BAg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:49:43.127426Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.08282","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30dc35585bb88f91d555f08e2fd6196b1e5e8b6b31f8e99d17a5ce1ba173e1e7","sha256:328f9f4e2611053246d1b47317a681e7e4d14200e08f9844d0bad88654adca58"],"state_sha256":"291bacfedc8001a74c8e081148de922077fadc23f9702bdf05f8672639e18d2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"72D5pyY90Sb/XdlFtjCZhkZlDF/RzO4ke94eJNVmrn2rAnIuevUHcHt/xdHgtoUztDGbM9rvUHkBTBaZfZDBAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T15:45:45.110329Z","bundle_sha256":"986437d2e501b14486b1a571bfe8c6ac80f8ce42079a9bea0c6028301a026e00"}}