{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ZM4NDLZEJE2N5ZU5V2NWPC32EQ","short_pith_number":"pith:ZM4NDLZE","canonical_record":{"source":{"id":"1908.03000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T10:24:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"04034f77f97061c812c5957c5454092925002dc91ba637fe436c6c73f49d8915","abstract_canon_sha256":"9bb8cb8a6559bb9c93d45ad85700f28af6086cc12dea4c11a06a5b4604905813"},"schema_version":"1.0"},"canonical_sha256":"cb38d1af244934dee69dae9b678b7a240d4de4dcc491f54d4afcfcba219c10f0","source":{"kind":"arxiv","id":"1908.03000","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.03000","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"1908.03000v1","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03000","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"ZM4NDLZEJE2N","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"ZM4NDLZEJE2N5ZU5","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"ZM4NDLZE","created_at":"2026-07-04T23:52:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ZM4NDLZEJE2N5ZU5V2NWPC32EQ","target":"record","payload":{"canonical_record":{"source":{"id":"1908.03000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T10:24:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"04034f77f97061c812c5957c5454092925002dc91ba637fe436c6c73f49d8915","abstract_canon_sha256":"9bb8cb8a6559bb9c93d45ad85700f28af6086cc12dea4c11a06a5b4604905813"},"schema_version":"1.0"},"canonical_sha256":"cb38d1af244934dee69dae9b678b7a240d4de4dcc491f54d4afcfcba219c10f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:52:25.489049Z","signature_b64":"5OcYZQPGtTD9wUZabb4IUHqtH+xbRAhic61zi9X9hBBrBAIN/r2OkTG3ptmpGde0U3Ww70HwMeXFncELwy0eDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb38d1af244934dee69dae9b678b7a240d4de4dcc491f54d4afcfcba219c10f0","last_reissued_at":"2026-07-04T23:52:25.488678Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:52:25.488678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.03000","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":"2026-07-04T23:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vx7exfCos0IQP8zrTxPxx8M4MCEaWmU7E5o6j3UR+9+mUYlKYVcHvFTVCPM8KXnWJYyq8V9EXKKq5nyjeIfXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T09:10:38.628255Z"},"content_sha256":"e58e417b6758e60af8ace2479ff089d5003cb2a02c30843f367f4370e0e8b0b6","schema_version":"1.0","event_id":"sha256:e58e417b6758e60af8ace2479ff089d5003cb2a02c30843f367f4370e0e8b0b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ZM4NDLZEJE2N5ZU5V2NWPC32EQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Feature selection of neural networks is skewed towards the less abstract cue","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Babette Dellen, Marcell Wolnitza","submitted_at":"2019-08-08T10:24:37Z","abstract_excerpt":"Artificial neural networks (ANNs) have become an important tool for image classification with many applications in research and industry. However, it remains largely unknown how relevant image features are selected and how data properties affect this process. In particular, we are interested whether the abstraction level of image cues correlating with class membership influences feature selection. We perform experiments with binary images that contain a combination of cues, representing two different levels of abstractions: one is a pattern drawn from a random distribution where class membersh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03000","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/1908.03000/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":"2026-07-04T23:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R0pmJw+knEZMDbFu1kVRyA0yrzLSSPCKznKIhNESj5ptyCdqi/YZ+p0q7tZa2BcdZ3c68iVu9M1PKtIQ/KM8CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T09:10:38.629193Z"},"content_sha256":"e5aa1939a91114248dd715aece310070447976b039d45752fac059bad40766ef","schema_version":"1.0","event_id":"sha256:e5aa1939a91114248dd715aece310070447976b039d45752fac059bad40766ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZM4NDLZEJE2N5ZU5V2NWPC32EQ/bundle.json","state_url":"https://pith.science/pith/ZM4NDLZEJE2N5ZU5V2NWPC32EQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZM4NDLZEJE2N5ZU5V2NWPC32EQ/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":"2026-08-16T09:10:38Z","links":{"resolver":"https://pith.science/pith/ZM4NDLZEJE2N5ZU5V2NWPC32EQ","bundle":"https://pith.science/pith/ZM4NDLZEJE2N5ZU5V2NWPC32EQ/bundle.json","state":"https://pith.science/pith/ZM4NDLZEJE2N5ZU5V2NWPC32EQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZM4NDLZEJE2N5ZU5V2NWPC32EQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ZM4NDLZEJE2N5ZU5V2NWPC32EQ","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":"9bb8cb8a6559bb9c93d45ad85700f28af6086cc12dea4c11a06a5b4604905813","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T10:24:37Z","title_canon_sha256":"04034f77f97061c812c5957c5454092925002dc91ba637fe436c6c73f49d8915"},"schema_version":"1.0","source":{"id":"1908.03000","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.03000","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"1908.03000v1","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03000","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"ZM4NDLZEJE2N","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"ZM4NDLZEJE2N5ZU5","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"ZM4NDLZE","created_at":"2026-07-04T23:52:25Z"}],"graph_snapshots":[{"event_id":"sha256:e5aa1939a91114248dd715aece310070447976b039d45752fac059bad40766ef","target":"graph","created_at":"2026-07-04T23:52:25Z","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/1908.03000/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial neural networks (ANNs) have become an important tool for image classification with many applications in research and industry. However, it remains largely unknown how relevant image features are selected and how data properties affect this process. In particular, we are interested whether the abstraction level of image cues correlating with class membership influences feature selection. We perform experiments with binary images that contain a combination of cues, representing two different levels of abstractions: one is a pattern drawn from a random distribution where class membersh","authors_text":"Babette Dellen, Marcell Wolnitza","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T10:24:37Z","title":"Feature selection of neural networks is skewed towards the less abstract cue"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03000","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:e58e417b6758e60af8ace2479ff089d5003cb2a02c30843f367f4370e0e8b0b6","target":"record","created_at":"2026-07-04T23:52:25Z","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":"9bb8cb8a6559bb9c93d45ad85700f28af6086cc12dea4c11a06a5b4604905813","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T10:24:37Z","title_canon_sha256":"04034f77f97061c812c5957c5454092925002dc91ba637fe436c6c73f49d8915"},"schema_version":"1.0","source":{"id":"1908.03000","kind":"arxiv","version":1}},"canonical_sha256":"cb38d1af244934dee69dae9b678b7a240d4de4dcc491f54d4afcfcba219c10f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb38d1af244934dee69dae9b678b7a240d4de4dcc491f54d4afcfcba219c10f0","first_computed_at":"2026-07-04T23:52:25.488678Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:52:25.488678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5OcYZQPGtTD9wUZabb4IUHqtH+xbRAhic61zi9X9hBBrBAIN/r2OkTG3ptmpGde0U3Ww70HwMeXFncELwy0eDQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:52:25.489049Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.03000","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e58e417b6758e60af8ace2479ff089d5003cb2a02c30843f367f4370e0e8b0b6","sha256:e5aa1939a91114248dd715aece310070447976b039d45752fac059bad40766ef"],"state_sha256":"2aa13ce392bc86a7d18d353da37f01c66123c884ebf105386631fa4597e821a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QWalr4d84o7LsjcE0I0lVyFNfLYaPPAQ9SrxbYST2RV/3T4CK95ij0PrRNLm6syfYzA1xO9JjwGkgH9h5/v7DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T09:10:38.637643Z","bundle_sha256":"a9f98030638f436c1f0a84263f6f7d101dc28c280e103dbe8351e5b1b8f001bf"}}