{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:YSW2DBZOMYZZ4NXX4PHKQIHQL4","short_pith_number":"pith:YSW2DBZO","canonical_record":{"source":{"id":"1711.08006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-21T19:37:13Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"421de1586204dead27d1c68c24533bb95e30e8a36981a5a9b509d22d8201b5a2","abstract_canon_sha256":"be2c32233ad233e6b4263e06d18a55bef1998c5de1f1ed1a5291f62a8f60f8b0"},"schema_version":"1.0"},"canonical_sha256":"c4ada1872e66339e36f7e3cea820f05f329e31f7491746422ff91bf8efefba96","source":{"kind":"arxiv","id":"1711.08006","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08006","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08006v1","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08006","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"pith_short_12","alias_value":"YSW2DBZOMYZZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YSW2DBZOMYZZ4NXX","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YSW2DBZO","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:YSW2DBZOMYZZ4NXX4PHKQIHQL4","target":"record","payload":{"canonical_record":{"source":{"id":"1711.08006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-21T19:37:13Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"421de1586204dead27d1c68c24533bb95e30e8a36981a5a9b509d22d8201b5a2","abstract_canon_sha256":"be2c32233ad233e6b4263e06d18a55bef1998c5de1f1ed1a5291f62a8f60f8b0"},"schema_version":"1.0"},"canonical_sha256":"c4ada1872e66339e36f7e3cea820f05f329e31f7491746422ff91bf8efefba96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:50.947014Z","signature_b64":"+JV2GNz/mSpQ2sx2NMQb0fNFudrzF+GOMNFNuOboARd8A8B5OM5CzQ6UIxxVBGqMRpfLvI2Dk+C+7dnvGbyLDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4ada1872e66339e36f7e3cea820f05f329e31f7491746422ff91bf8efefba96","last_reissued_at":"2026-05-18T00:29:50.946428Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:50.946428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.08006","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":"2026-05-18T00:29:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bx8qQRWsRRz6kZf7TLSFf4rm9Z5Vg2OReMlwA/yw3kUe9775ga698CsjjK1YwGPjfZkxJhLBFNr0/82UvGEYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:37:08.140639Z"},"content_sha256":"f85e5a87b5889ec2fe87b4a480be614f03ab9ccd03a22468f10254a261963212","schema_version":"1.0","event_id":"sha256:f85e5a87b5889ec2fe87b4a480be614f03ab9ccd03a22468f10254a261963212"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:YSW2DBZOMYZZ4NXX4PHKQIHQL4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Relating Input Concepts to Convolutional Neural Network Decisions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Derek Doran, Md Kamruzzaman Sarker, Michael Raymer, Ning Xie, Pascal Hitzler","submitted_at":"2017-11-21T19:37:13Z","abstract_excerpt":"Many current methods to interpret convolutional neural networks (CNNs) use visualization techniques and words to highlight concepts of the input seemingly relevant to a CNN's decision. The methods hypothesize that the recognition of these concepts are instrumental in the decision a CNN reaches, but the nature of this relationship has not been well explored. To address this gap, this paper examines the quality of a concept's recognition by a CNN and the degree to which the recognitions are associated with CNN decisions. The study considers a CNN trained for scene recognition over the ADE20k dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08006","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":"2026-05-18T00:29:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+DymPMVq2HaliqseOWVnVqXvt5+OiIEmfb9oqcBACNnArYxxSxbf7XNPHHcCVQI+5WED+etVygcaRmmxWBnDCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:37:08.141350Z"},"content_sha256":"80e1172d69d2eb4a144f3dfe5f12d6ca11091e8be66d00d3c63fea36403ab23f","schema_version":"1.0","event_id":"sha256:80e1172d69d2eb4a144f3dfe5f12d6ca11091e8be66d00d3c63fea36403ab23f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YSW2DBZOMYZZ4NXX4PHKQIHQL4/bundle.json","state_url":"https://pith.science/pith/YSW2DBZOMYZZ4NXX4PHKQIHQL4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YSW2DBZOMYZZ4NXX4PHKQIHQL4/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":"2026-05-26T02:37:08Z","links":{"resolver":"https://pith.science/pith/YSW2DBZOMYZZ4NXX4PHKQIHQL4","bundle":"https://pith.science/pith/YSW2DBZOMYZZ4NXX4PHKQIHQL4/bundle.json","state":"https://pith.science/pith/YSW2DBZOMYZZ4NXX4PHKQIHQL4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YSW2DBZOMYZZ4NXX4PHKQIHQL4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:YSW2DBZOMYZZ4NXX4PHKQIHQL4","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":"be2c32233ad233e6b4263e06d18a55bef1998c5de1f1ed1a5291f62a8f60f8b0","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-21T19:37:13Z","title_canon_sha256":"421de1586204dead27d1c68c24533bb95e30e8a36981a5a9b509d22d8201b5a2"},"schema_version":"1.0","source":{"id":"1711.08006","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08006","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08006v1","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08006","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"pith_short_12","alias_value":"YSW2DBZOMYZZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YSW2DBZOMYZZ4NXX","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YSW2DBZO","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:80e1172d69d2eb4a144f3dfe5f12d6ca11091e8be66d00d3c63fea36403ab23f","target":"graph","created_at":"2026-05-18T00:29:50Z","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":"Many current methods to interpret convolutional neural networks (CNNs) use visualization techniques and words to highlight concepts of the input seemingly relevant to a CNN's decision. The methods hypothesize that the recognition of these concepts are instrumental in the decision a CNN reaches, but the nature of this relationship has not been well explored. To address this gap, this paper examines the quality of a concept's recognition by a CNN and the degree to which the recognitions are associated with CNN decisions. The study considers a CNN trained for scene recognition over the ADE20k dat","authors_text":"Derek Doran, Md Kamruzzaman Sarker, Michael Raymer, Ning Xie, Pascal Hitzler","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-21T19:37:13Z","title":"Relating Input Concepts to Convolutional Neural Network Decisions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08006","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:f85e5a87b5889ec2fe87b4a480be614f03ab9ccd03a22468f10254a261963212","target":"record","created_at":"2026-05-18T00:29:50Z","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":"be2c32233ad233e6b4263e06d18a55bef1998c5de1f1ed1a5291f62a8f60f8b0","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-21T19:37:13Z","title_canon_sha256":"421de1586204dead27d1c68c24533bb95e30e8a36981a5a9b509d22d8201b5a2"},"schema_version":"1.0","source":{"id":"1711.08006","kind":"arxiv","version":1}},"canonical_sha256":"c4ada1872e66339e36f7e3cea820f05f329e31f7491746422ff91bf8efefba96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c4ada1872e66339e36f7e3cea820f05f329e31f7491746422ff91bf8efefba96","first_computed_at":"2026-05-18T00:29:50.946428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:50.946428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+JV2GNz/mSpQ2sx2NMQb0fNFudrzF+GOMNFNuOboARd8A8B5OM5CzQ6UIxxVBGqMRpfLvI2Dk+C+7dnvGbyLDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:50.947014Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.08006","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f85e5a87b5889ec2fe87b4a480be614f03ab9ccd03a22468f10254a261963212","sha256:80e1172d69d2eb4a144f3dfe5f12d6ca11091e8be66d00d3c63fea36403ab23f"],"state_sha256":"f6ac0d01ee257c7f03f9626978f7c47c52260f285a4fa1e13079c6f1d72df593"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"16hNfwfU66jpz4Ak77sw5fGCHOIabdpXB8nllExxA1TT3MNVW8oxfks2y35eUpIIt3iPJp1+9VAmMCBbjOLFAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T02:37:08.145592Z","bundle_sha256":"ecafea54f042c63906cd7027e1c8622d3822ebc5ec0b81010050698845639d8e"}}