{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WALNPGRIQUJDFNVKXVQCRFFORT","short_pith_number":"pith:WALNPGRI","canonical_record":{"source":{"id":"2007.10756","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-07-21T12:35:18Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"6ae13a09944fe093e6db9fcc5fba7f9568ba389a28bf9399722bc66c1471dd17","abstract_canon_sha256":"155c027b538676ebca014208236bb3e9a8166ae895ff228249a14a239cfac82c"},"schema_version":"1.0"},"canonical_sha256":"b016d79a28851232b6aabd602894ae8ce110c45327af6d84e42b047b872a39f4","source":{"kind":"arxiv","id":"2007.10756","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10756","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10756v1","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10756","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"pith_short_12","alias_value":"WALNPGRIQUJD","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"pith_short_16","alias_value":"WALNPGRIQUJDFNVK","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"pith_short_8","alias_value":"WALNPGRI","created_at":"2026-07-05T01:21:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WALNPGRIQUJDFNVKXVQCRFFORT","target":"record","payload":{"canonical_record":{"source":{"id":"2007.10756","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-07-21T12:35:18Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"6ae13a09944fe093e6db9fcc5fba7f9568ba389a28bf9399722bc66c1471dd17","abstract_canon_sha256":"155c027b538676ebca014208236bb3e9a8166ae895ff228249a14a239cfac82c"},"schema_version":"1.0"},"canonical_sha256":"b016d79a28851232b6aabd602894ae8ce110c45327af6d84e42b047b872a39f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:21:11.582485Z","signature_b64":"i9Y3DFzB9qcIUZ8a4+87QnWIndWv/JJfkDfOq3PfLyZpmuFxlPlxO2tzza5Zbh6KkzLwLEjRC/B1zYC8pwFNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b016d79a28851232b6aabd602894ae8ce110c45327af6d84e42b047b872a39f4","last_reissued_at":"2026-07-05T01:21:11.582034Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:21:11.582034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.10756","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":"2026-07-05T01:21:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"msvwEMGLTEZMQYHNSk3dvtQgrJKaltYKMl0thqOQKW00GNeLhdJlOsKJ+pC71BfQu2NqRyuzBFv/pohZ9wZ+BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:40:35.361031Z"},"content_sha256":"72def16364a033206d6db198d6b46ee3c2b2fd7504ec12acf291b3a1c74c6bbf","schema_version":"1.0","event_id":"sha256:72def16364a033206d6db198d6b46ee3c2b2fd7504ec12acf291b3a1c74c6bbf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WALNPGRIQUJDFNVKXVQCRFFORT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Krishna Prasad Miyapuram, Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria","submitted_at":"2020-07-21T12:35:18Z","abstract_excerpt":"Neuromarketing aims to understand consumer behavior using neuroscience. Brain imaging tools such as EEG have been used to better understand consumer behavior that goes beyond self-report measures which can be a more accurate measure to understand how and why consumers prefer choosing one product over another. Previous studies have shown that consumer preferences can be effectively predicted by understanding changes in evoked responses as captured by EEG. However, understanding ordered preference of choices was not studied earlier. In this study, we try to decipher the evoked responses using EE"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10756","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/2007.10756/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":"2026-07-05T01:21:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DxNzUO3SSRLh9OnpD1G+5nNq1Y96KhO4FKfXBYfpJgvd6Nvck0Zo88smnJRyQTejHjuvzC4QwaQtE/R1MQJyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:40:35.361418Z"},"content_sha256":"5d565058f490d385204c4ffe19871beea87047c2253a959cfc097fb2733fdc57","schema_version":"1.0","event_id":"sha256:5d565058f490d385204c4ffe19871beea87047c2253a959cfc097fb2733fdc57"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WALNPGRIQUJDFNVKXVQCRFFORT/bundle.json","state_url":"https://pith.science/pith/WALNPGRIQUJDFNVKXVQCRFFORT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WALNPGRIQUJDFNVKXVQCRFFORT/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":"2026-07-07T08:40:35Z","links":{"resolver":"https://pith.science/pith/WALNPGRIQUJDFNVKXVQCRFFORT","bundle":"https://pith.science/pith/WALNPGRIQUJDFNVKXVQCRFFORT/bundle.json","state":"https://pith.science/pith/WALNPGRIQUJDFNVKXVQCRFFORT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WALNPGRIQUJDFNVKXVQCRFFORT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WALNPGRIQUJDFNVKXVQCRFFORT","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":"155c027b538676ebca014208236bb3e9a8166ae895ff228249a14a239cfac82c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-07-21T12:35:18Z","title_canon_sha256":"6ae13a09944fe093e6db9fcc5fba7f9568ba389a28bf9399722bc66c1471dd17"},"schema_version":"1.0","source":{"id":"2007.10756","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10756","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10756v1","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10756","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"pith_short_12","alias_value":"WALNPGRIQUJD","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"pith_short_16","alias_value":"WALNPGRIQUJDFNVK","created_at":"2026-07-05T01:21:11Z"},{"alias_kind":"pith_short_8","alias_value":"WALNPGRI","created_at":"2026-07-05T01:21:11Z"}],"graph_snapshots":[{"event_id":"sha256:5d565058f490d385204c4ffe19871beea87047c2253a959cfc097fb2733fdc57","target":"graph","created_at":"2026-07-05T01:21:11Z","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/2007.10756/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neuromarketing aims to understand consumer behavior using neuroscience. Brain imaging tools such as EEG have been used to better understand consumer behavior that goes beyond self-report measures which can be a more accurate measure to understand how and why consumers prefer choosing one product over another. Previous studies have shown that consumer preferences can be effectively predicted by understanding changes in evoked responses as captured by EEG. However, understanding ordered preference of choices was not studied earlier. In this study, we try to decipher the evoked responses using EE","authors_text":"Krishna Prasad Miyapuram, Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-07-21T12:35:18Z","title":"Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10756","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":"sha256:72def16364a033206d6db198d6b46ee3c2b2fd7504ec12acf291b3a1c74c6bbf","target":"record","created_at":"2026-07-05T01:21:11Z","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":"155c027b538676ebca014208236bb3e9a8166ae895ff228249a14a239cfac82c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-07-21T12:35:18Z","title_canon_sha256":"6ae13a09944fe093e6db9fcc5fba7f9568ba389a28bf9399722bc66c1471dd17"},"schema_version":"1.0","source":{"id":"2007.10756","kind":"arxiv","version":1}},"canonical_sha256":"b016d79a28851232b6aabd602894ae8ce110c45327af6d84e42b047b872a39f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b016d79a28851232b6aabd602894ae8ce110c45327af6d84e42b047b872a39f4","first_computed_at":"2026-07-05T01:21:11.582034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:21:11.582034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i9Y3DFzB9qcIUZ8a4+87QnWIndWv/JJfkDfOq3PfLyZpmuFxlPlxO2tzza5Zbh6KkzLwLEjRC/B1zYC8pwFNBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:21:11.582485Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.10756","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72def16364a033206d6db198d6b46ee3c2b2fd7504ec12acf291b3a1c74c6bbf","sha256:5d565058f490d385204c4ffe19871beea87047c2253a959cfc097fb2733fdc57"],"state_sha256":"2f0a5734d9252062351b815293effda0b13be63196dac0d8a29f159ac0ca6c05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gqdkNmeUz9D2nUdQIjDQnuMxe4sWFLAbLZQH0C3MWyabexlhle6Jg2C3bqf2gooLyuEpRw6RsA51h/18eXAuCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:40:35.363332Z","bundle_sha256":"0d9e1e5a74a2b32799d35af44e0eab74726ef6891c7f17e3398996bac5adbc70"}}