{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4TSXQ25NM3BC4PZ3GFJA6TPL3A","short_pith_number":"pith:4TSXQ25N","canonical_record":{"source":{"id":"2307.13345","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-25T09:02:29Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"86bcf44e68248f3e9c907b64891051b297422a989b2aeb5dda63314679260a49","abstract_canon_sha256":"3f191af9d1e3d8d85832bee1a9f3872d9db08f8f61d76ba0470a525e644c08b7"},"schema_version":"1.0"},"canonical_sha256":"e4e5786bad66c22e3f3b31520f4debd80e279bd172c6884b3ace1d26a5cba00d","source":{"kind":"arxiv","id":"2307.13345","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.13345","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"arxiv_version","alias_value":"2307.13345v2","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.13345","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"pith_short_12","alias_value":"4TSXQ25NM3BC","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"pith_short_16","alias_value":"4TSXQ25NM3BC4PZ3","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"pith_short_8","alias_value":"4TSXQ25N","created_at":"2026-07-05T08:56:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4TSXQ25NM3BC4PZ3GFJA6TPL3A","target":"record","payload":{"canonical_record":{"source":{"id":"2307.13345","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-25T09:02:29Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"86bcf44e68248f3e9c907b64891051b297422a989b2aeb5dda63314679260a49","abstract_canon_sha256":"3f191af9d1e3d8d85832bee1a9f3872d9db08f8f61d76ba0470a525e644c08b7"},"schema_version":"1.0"},"canonical_sha256":"e4e5786bad66c22e3f3b31520f4debd80e279bd172c6884b3ace1d26a5cba00d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:56:13.341499Z","signature_b64":"CRnteDIbjqLEg9CS7h/GtcoN3ourOVXa3QcMSZ3qsCmVhT1lyHi6cXdiAJCEFFQpd/09qvQ44NRgfslRITWQDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4e5786bad66c22e3f3b31520f4debd80e279bd172c6884b3ace1d26a5cba00d","last_reissued_at":"2026-07-05T08:56:13.341082Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:56:13.341082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.13345","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":"2026-07-05T08:56:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sSoJug9lGrjA8fZPfQhHk/VNtU761mCVaMSDeITXyk7g/9WAghPYzb+g56/FbaS7TB9bmhIRLkolfuUQiojUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T05:39:29.295291Z"},"content_sha256":"f6a59f0b6b28038878b65551857be9be3e2b41c48035858903071949b0e9418f","schema_version":"1.0","event_id":"sha256:f6a59f0b6b28038878b65551857be9be3e2b41c48035858903071949b0e9418f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4TSXQ25NM3BC4PZ3GFJA6TPL3A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CV","authors_text":"Carsten Knoll, Julian Ullrich, Marcel D\\\"urschmidt, Romy M\\\"uller, Sascha Weber, Steffen Seitz","submitted_at":"2023-07-25T09:02:29Z","abstract_excerpt":"Deep Learning models like Convolutional Neural Networks (CNN) are powerful image classifiers, but what factors determine whether they attend to similar image areas as humans do? While previous studies have focused on technological factors, little is known about the role of factors that affect human attention. In the present study, we investigated how the tasks used to elicit human attention maps interact with image characteristics in modulating the similarity between humans and CNN. We varied the intentionality of human tasks, ranging from spontaneous gaze during categorization over intentiona"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.13345","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/2307.13345/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":"2026-07-05T08:56:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hmncauQZEGhhICNBled4lziBPr96M5NtI8ZWPNqABogL1RxY89Dyu8H+pj3xCbEn1Rwoh4uVwrUNqhOEkJvjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T05:39:29.295667Z"},"content_sha256":"cec5eb521dcde9048714c619dd33e83a89235a986e6d7ea99ca925a2107d7b75","schema_version":"1.0","event_id":"sha256:cec5eb521dcde9048714c619dd33e83a89235a986e6d7ea99ca925a2107d7b75"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4TSXQ25NM3BC4PZ3GFJA6TPL3A/bundle.json","state_url":"https://pith.science/pith/4TSXQ25NM3BC4PZ3GFJA6TPL3A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4TSXQ25NM3BC4PZ3GFJA6TPL3A/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":"2026-07-19T05:39:29Z","links":{"resolver":"https://pith.science/pith/4TSXQ25NM3BC4PZ3GFJA6TPL3A","bundle":"https://pith.science/pith/4TSXQ25NM3BC4PZ3GFJA6TPL3A/bundle.json","state":"https://pith.science/pith/4TSXQ25NM3BC4PZ3GFJA6TPL3A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4TSXQ25NM3BC4PZ3GFJA6TPL3A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4TSXQ25NM3BC4PZ3GFJA6TPL3A","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":"3f191af9d1e3d8d85832bee1a9f3872d9db08f8f61d76ba0470a525e644c08b7","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-25T09:02:29Z","title_canon_sha256":"86bcf44e68248f3e9c907b64891051b297422a989b2aeb5dda63314679260a49"},"schema_version":"1.0","source":{"id":"2307.13345","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.13345","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"arxiv_version","alias_value":"2307.13345v2","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.13345","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"pith_short_12","alias_value":"4TSXQ25NM3BC","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"pith_short_16","alias_value":"4TSXQ25NM3BC4PZ3","created_at":"2026-07-05T08:56:13Z"},{"alias_kind":"pith_short_8","alias_value":"4TSXQ25N","created_at":"2026-07-05T08:56:13Z"}],"graph_snapshots":[{"event_id":"sha256:cec5eb521dcde9048714c619dd33e83a89235a986e6d7ea99ca925a2107d7b75","target":"graph","created_at":"2026-07-05T08:56:13Z","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/2307.13345/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Learning models like Convolutional Neural Networks (CNN) are powerful image classifiers, but what factors determine whether they attend to similar image areas as humans do? While previous studies have focused on technological factors, little is known about the role of factors that affect human attention. In the present study, we investigated how the tasks used to elicit human attention maps interact with image characteristics in modulating the similarity between humans and CNN. We varied the intentionality of human tasks, ranging from spontaneous gaze during categorization over intentiona","authors_text":"Carsten Knoll, Julian Ullrich, Marcel D\\\"urschmidt, Romy M\\\"uller, Sascha Weber, Steffen Seitz","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-25T09:02:29Z","title":"Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.13345","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:f6a59f0b6b28038878b65551857be9be3e2b41c48035858903071949b0e9418f","target":"record","created_at":"2026-07-05T08:56:13Z","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":"3f191af9d1e3d8d85832bee1a9f3872d9db08f8f61d76ba0470a525e644c08b7","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-25T09:02:29Z","title_canon_sha256":"86bcf44e68248f3e9c907b64891051b297422a989b2aeb5dda63314679260a49"},"schema_version":"1.0","source":{"id":"2307.13345","kind":"arxiv","version":2}},"canonical_sha256":"e4e5786bad66c22e3f3b31520f4debd80e279bd172c6884b3ace1d26a5cba00d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4e5786bad66c22e3f3b31520f4debd80e279bd172c6884b3ace1d26a5cba00d","first_computed_at":"2026-07-05T08:56:13.341082Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:13.341082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CRnteDIbjqLEg9CS7h/GtcoN3ourOVXa3QcMSZ3qsCmVhT1lyHi6cXdiAJCEFFQpd/09qvQ44NRgfslRITWQDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:13.341499Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.13345","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6a59f0b6b28038878b65551857be9be3e2b41c48035858903071949b0e9418f","sha256:cec5eb521dcde9048714c619dd33e83a89235a986e6d7ea99ca925a2107d7b75"],"state_sha256":"a38a2b5fa2507ddfa73efed890020eebfc024e6c19a410471cbbe0017bb8d4e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IuCfS31QwuNyAKeHp74ZjNViBPfD+Rc7r/Hx8xJQJ/2NCZ28yBbTdhTZjKfDPGz2HmBzoBvUavOjgbX5Y7yuAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T05:39:29.297984Z","bundle_sha256":"d007ccd226c3d29cf00ea2767d640f4023a2778ddff6247253fafc43ed74c445"}}