{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:W2EWH5C7YXIF2XAGXP4MPDAMK6","short_pith_number":"pith:W2EWH5C7","canonical_record":{"source":{"id":"2406.16187","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T18:43:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0e6a91d8064f5bb33beb0ebe293aee502dbb0f7f2f13096ececc068f50cd7411","abstract_canon_sha256":"074585571856f3a9066c011a6c2e460d9dd10a64166938eeb917222bd5943a8b"},"schema_version":"1.0"},"canonical_sha256":"b68963f45fc5d05d5c06bbf8c78c0c57ac1dd446d8f97e14de2c37a6b04622d5","source":{"kind":"arxiv","id":"2406.16187","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16187","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16187v1","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16187","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"pith_short_12","alias_value":"W2EWH5C7YXIF","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"pith_short_16","alias_value":"W2EWH5C7YXIF2XAG","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"pith_short_8","alias_value":"W2EWH5C7","created_at":"2026-07-05T08:35:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:W2EWH5C7YXIF2XAGXP4MPDAMK6","target":"record","payload":{"canonical_record":{"source":{"id":"2406.16187","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T18:43:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0e6a91d8064f5bb33beb0ebe293aee502dbb0f7f2f13096ececc068f50cd7411","abstract_canon_sha256":"074585571856f3a9066c011a6c2e460d9dd10a64166938eeb917222bd5943a8b"},"schema_version":"1.0"},"canonical_sha256":"b68963f45fc5d05d5c06bbf8c78c0c57ac1dd446d8f97e14de2c37a6b04622d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:35:54.626689Z","signature_b64":"c7u6StEYXJzXRovKluKb6Gr+a3Xn9Xzeu0qGQ69JgIMoz0++76fQWvSfdaudKuIMDQymOwrmF8KIB1u6j5CkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b68963f45fc5d05d5c06bbf8c78c0c57ac1dd446d8f97e14de2c37a6b04622d5","last_reissued_at":"2026-07-05T08:35:54.626191Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:35:54.626191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.16187","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":"2026-07-05T08:35:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DvfFss0KrWE05OV0o3dzGUP7ugOYsFiUFVDYQJ08UM0460Th+2hrOz3Qr9b+xQlOVhbFFJCgmLTpiOdFzu0QAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T08:33:25.604217Z"},"content_sha256":"9e1519635eacc86ddb770dd09886867b9e99eb7e5fbb1e1dd07ca2a19d940e79","schema_version":"1.0","event_id":"sha256:9e1519635eacc86ddb770dd09886867b9e99eb7e5fbb1e1dd07ca2a19d940e79"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:W2EWH5C7YXIF2XAGXP4MPDAMK6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Grzegorz J. Nalepa, Jan Ignatowicz, Krzysztof Kutt","submitted_at":"2024-06-23T18:43:46Z","abstract_excerpt":"Experiments in affective computing are based on stimulus datasets that, in the process of standardization, receive metadata describing which emotions each stimulus evokes. In this paper, we explore an approach to creating stimulus datasets for affective computing using generative adversarial networks (GANs). Traditional dataset preparation methods are costly and time consuming, prompting our investigation of alternatives. We conducted experiments with various GAN architectures, including Deep Convolutional GAN, Conditional GAN, Auxiliary Classifier GAN, Progressive Augmentation GAN, and Wasser"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16187","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/2406.16187/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":"2026-07-05T08:35:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2r3iGoSHUxWa9VT5zV1E8xjvMJnwHuhKx2WawJLQ5r2WXN6inpxyDQYyu2mqpRYinUxSN0mH5I5oWZTqy4YHAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T08:33:25.604607Z"},"content_sha256":"53de7e045023c9cfe8af57e06a330e6f086298435a783ca3fd1beec663581676","schema_version":"1.0","event_id":"sha256:53de7e045023c9cfe8af57e06a330e6f086298435a783ca3fd1beec663581676"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W2EWH5C7YXIF2XAGXP4MPDAMK6/bundle.json","state_url":"https://pith.science/pith/W2EWH5C7YXIF2XAGXP4MPDAMK6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W2EWH5C7YXIF2XAGXP4MPDAMK6/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":"2026-07-17T08:33:25Z","links":{"resolver":"https://pith.science/pith/W2EWH5C7YXIF2XAGXP4MPDAMK6","bundle":"https://pith.science/pith/W2EWH5C7YXIF2XAGXP4MPDAMK6/bundle.json","state":"https://pith.science/pith/W2EWH5C7YXIF2XAGXP4MPDAMK6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W2EWH5C7YXIF2XAGXP4MPDAMK6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W2EWH5C7YXIF2XAGXP4MPDAMK6","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":"074585571856f3a9066c011a6c2e460d9dd10a64166938eeb917222bd5943a8b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T18:43:46Z","title_canon_sha256":"0e6a91d8064f5bb33beb0ebe293aee502dbb0f7f2f13096ececc068f50cd7411"},"schema_version":"1.0","source":{"id":"2406.16187","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16187","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16187v1","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16187","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"pith_short_12","alias_value":"W2EWH5C7YXIF","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"pith_short_16","alias_value":"W2EWH5C7YXIF2XAG","created_at":"2026-07-05T08:35:54Z"},{"alias_kind":"pith_short_8","alias_value":"W2EWH5C7","created_at":"2026-07-05T08:35:54Z"}],"graph_snapshots":[{"event_id":"sha256:53de7e045023c9cfe8af57e06a330e6f086298435a783ca3fd1beec663581676","target":"graph","created_at":"2026-07-05T08:35:54Z","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/2406.16187/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Experiments in affective computing are based on stimulus datasets that, in the process of standardization, receive metadata describing which emotions each stimulus evokes. In this paper, we explore an approach to creating stimulus datasets for affective computing using generative adversarial networks (GANs). Traditional dataset preparation methods are costly and time consuming, prompting our investigation of alternatives. We conducted experiments with various GAN architectures, including Deep Convolutional GAN, Conditional GAN, Auxiliary Classifier GAN, Progressive Augmentation GAN, and Wasser","authors_text":"Grzegorz J. Nalepa, Jan Ignatowicz, Krzysztof Kutt","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T18:43:46Z","title":"Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16187","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":"sha256:9e1519635eacc86ddb770dd09886867b9e99eb7e5fbb1e1dd07ca2a19d940e79","target":"record","created_at":"2026-07-05T08:35:54Z","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":"074585571856f3a9066c011a6c2e460d9dd10a64166938eeb917222bd5943a8b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T18:43:46Z","title_canon_sha256":"0e6a91d8064f5bb33beb0ebe293aee502dbb0f7f2f13096ececc068f50cd7411"},"schema_version":"1.0","source":{"id":"2406.16187","kind":"arxiv","version":1}},"canonical_sha256":"b68963f45fc5d05d5c06bbf8c78c0c57ac1dd446d8f97e14de2c37a6b04622d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b68963f45fc5d05d5c06bbf8c78c0c57ac1dd446d8f97e14de2c37a6b04622d5","first_computed_at":"2026-07-05T08:35:54.626191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:54.626191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c7u6StEYXJzXRovKluKb6Gr+a3Xn9Xzeu0qGQ69JgIMoz0++76fQWvSfdaudKuIMDQymOwrmF8KIB1u6j5CkDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:54.626689Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.16187","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e1519635eacc86ddb770dd09886867b9e99eb7e5fbb1e1dd07ca2a19d940e79","sha256:53de7e045023c9cfe8af57e06a330e6f086298435a783ca3fd1beec663581676"],"state_sha256":"0bd70d1297cebbfe78f1b5e54c0433dafe7f8fb791eb8bfd0bb7c17afc554427"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a1slq1t1qhFJbYiqHTO2AnUM6WNoiLHJz8JXTkKSPfiaCQow+0eq9hlVtyByslm8yxcwHAasHDmISXOh/54BAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T08:33:25.607203Z","bundle_sha256":"b679ad1773f5373515bede0c6d43d81615896b0c4aae20c341148529c25e54ef"}}