{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:5O53XRB3HKK27476M652PETRBA","short_pith_number":"pith:5O53XRB3","canonical_record":{"source":{"id":"2003.07679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-02T14:24:59Z","cross_cats_sorted":[],"title_canon_sha256":"2229a0c72c4412a3566d4ef29042782ddb84d14af873c6c0ff98962d60b8a653","abstract_canon_sha256":"d8b12327d69caa5e57e35aa1e7b572fe26ca143d189bda0d34ed2e75f8da31ce"},"schema_version":"1.0"},"canonical_sha256":"ebbbbbc43b3a95aff3fe67bba79271083765941b8a7b520358d896981d707739","source":{"kind":"arxiv","id":"2003.07679","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.07679","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2003.07679v1","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.07679","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"5O53XRB3HKK2","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"5O53XRB3HKK27476","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"5O53XRB3","created_at":"2026-07-05T00:48:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:5O53XRB3HKK27476M652PETRBA","target":"record","payload":{"canonical_record":{"source":{"id":"2003.07679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-02T14:24:59Z","cross_cats_sorted":[],"title_canon_sha256":"2229a0c72c4412a3566d4ef29042782ddb84d14af873c6c0ff98962d60b8a653","abstract_canon_sha256":"d8b12327d69caa5e57e35aa1e7b572fe26ca143d189bda0d34ed2e75f8da31ce"},"schema_version":"1.0"},"canonical_sha256":"ebbbbbc43b3a95aff3fe67bba79271083765941b8a7b520358d896981d707739","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:48:28.995023Z","signature_b64":"g0lM5V37T03FiBHCUbs4YPnKE24oQhpqokHjAB7sowtxjkVe84VVpni8rBAQyE1m+zaHvevsWHb7uf7NYxdKDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebbbbbc43b3a95aff3fe67bba79271083765941b8a7b520358d896981d707739","last_reissued_at":"2026-07-05T00:48:28.994642Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:48:28.994642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.07679","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":"2026-07-05T00:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eaXgKq1Wa2rzUfkYXR2RR5G5kutscOeHzDyt23v3+MIkcxUGxU51RU/beSGg1A4rtRAjSozqwEVQJi+hvmj+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:24:35.047633Z"},"content_sha256":"41153ebea9097e25645a15f70dbf57516ebd653ef7d7c97211bb13e45dbb4a86","schema_version":"1.0","event_id":"sha256:41153ebea9097e25645a15f70dbf57516ebd653ef7d7c97211bb13e45dbb4a86"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:5O53XRB3HKK27476M652PETRBA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Business (mis)Use Cases of Generative AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"David Piorkowski, Jacquelyn Martino, John Richards, Justin Weisz, Michael Muller, Stephanie Houde, Vera Liao, Yunfeng Zhang","submitted_at":"2020-03-02T14:24:59Z","abstract_excerpt":"Generative AI is a class of machine learning technology that learns to generate new data from training data. While deep fakes and media-and art-related generative AI breakthroughs have recently caught people's attention and imagination, the overall area is in its infancy for business use. Further, little is known about generative AI's potential for malicious misuse at large scale. Using co-creation design fictions with AI engineers, we explore the plausibility and severity of business misuse cases."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.07679","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/2003.07679/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":"2026-07-05T00:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h9LAzbRurHoWWgS+dJiOHITAJe+cjZLK5E+Xx2rj01gpd3zzTmsxMMTzpCSTVknrpshTScQKi6v6QZMKp2euDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:24:35.048001Z"},"content_sha256":"bc8d3bf46b095505a26fe1b24df48f1ebedf12bcddfac7765a3fe6f057f22ac6","schema_version":"1.0","event_id":"sha256:bc8d3bf46b095505a26fe1b24df48f1ebedf12bcddfac7765a3fe6f057f22ac6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5O53XRB3HKK27476M652PETRBA/bundle.json","state_url":"https://pith.science/pith/5O53XRB3HKK27476M652PETRBA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5O53XRB3HKK27476M652PETRBA/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":"2026-07-08T16:24:35Z","links":{"resolver":"https://pith.science/pith/5O53XRB3HKK27476M652PETRBA","bundle":"https://pith.science/pith/5O53XRB3HKK27476M652PETRBA/bundle.json","state":"https://pith.science/pith/5O53XRB3HKK27476M652PETRBA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5O53XRB3HKK27476M652PETRBA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5O53XRB3HKK27476M652PETRBA","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":"d8b12327d69caa5e57e35aa1e7b572fe26ca143d189bda0d34ed2e75f8da31ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-02T14:24:59Z","title_canon_sha256":"2229a0c72c4412a3566d4ef29042782ddb84d14af873c6c0ff98962d60b8a653"},"schema_version":"1.0","source":{"id":"2003.07679","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.07679","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2003.07679v1","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.07679","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"5O53XRB3HKK2","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"5O53XRB3HKK27476","created_at":"2026-07-05T00:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"5O53XRB3","created_at":"2026-07-05T00:48:28Z"}],"graph_snapshots":[{"event_id":"sha256:bc8d3bf46b095505a26fe1b24df48f1ebedf12bcddfac7765a3fe6f057f22ac6","target":"graph","created_at":"2026-07-05T00:48:28Z","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/2003.07679/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI is a class of machine learning technology that learns to generate new data from training data. While deep fakes and media-and art-related generative AI breakthroughs have recently caught people's attention and imagination, the overall area is in its infancy for business use. Further, little is known about generative AI's potential for malicious misuse at large scale. Using co-creation design fictions with AI engineers, we explore the plausibility and severity of business misuse cases.","authors_text":"David Piorkowski, Jacquelyn Martino, John Richards, Justin Weisz, Michael Muller, Stephanie Houde, Vera Liao, Yunfeng Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-02T14:24:59Z","title":"Business (mis)Use Cases of Generative AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.07679","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":"sha256:41153ebea9097e25645a15f70dbf57516ebd653ef7d7c97211bb13e45dbb4a86","target":"record","created_at":"2026-07-05T00:48:28Z","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":"d8b12327d69caa5e57e35aa1e7b572fe26ca143d189bda0d34ed2e75f8da31ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-03-02T14:24:59Z","title_canon_sha256":"2229a0c72c4412a3566d4ef29042782ddb84d14af873c6c0ff98962d60b8a653"},"schema_version":"1.0","source":{"id":"2003.07679","kind":"arxiv","version":1}},"canonical_sha256":"ebbbbbc43b3a95aff3fe67bba79271083765941b8a7b520358d896981d707739","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebbbbbc43b3a95aff3fe67bba79271083765941b8a7b520358d896981d707739","first_computed_at":"2026-07-05T00:48:28.994642Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:48:28.994642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g0lM5V37T03FiBHCUbs4YPnKE24oQhpqokHjAB7sowtxjkVe84VVpni8rBAQyE1m+zaHvevsWHb7uf7NYxdKDg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:48:28.995023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.07679","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41153ebea9097e25645a15f70dbf57516ebd653ef7d7c97211bb13e45dbb4a86","sha256:bc8d3bf46b095505a26fe1b24df48f1ebedf12bcddfac7765a3fe6f057f22ac6"],"state_sha256":"035834a60571bd9467a1f62c074c606d66467a1c72605639a557b6b69c4f37bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BIgsyZ4Vv8/XjCPpyJKCSL2S1KOUOf8JCddmeG9RN9XuRfq8UfUAa6Gjxm+dfadBRQ2QPbXRjJ9LoylKABLDBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T16:24:35.050043Z","bundle_sha256":"7a95414f01613f8fc8236c146169af2b3ab95c11b6dae74c72985999c292ab55"}}