{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:R44RNP67A53GIDZO7TY73DBJ7T","short_pith_number":"pith:R44RNP67","canonical_record":{"source":{"id":"2411.09313","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-11-14T09:40:25Z","cross_cats_sorted":[],"title_canon_sha256":"eda985d72b2162b70dd34f7630123d8b0ab8afa815e921a4f6aefdb826f36315","abstract_canon_sha256":"abfc4f28f7d4bf55d5a62b69fed4315e6189f1e6f79d2cfc1cad8f6e71eefd4b"},"schema_version":"1.0"},"canonical_sha256":"8f3916bfdf0776640f2efcf1fd8c29fceb6f9fb15d0cb4bbdb80425ac4c3349a","source":{"kind":"arxiv","id":"2411.09313","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09313","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09313v1","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09313","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_12","alias_value":"R44RNP67A53G","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_16","alias_value":"R44RNP67A53GIDZO","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_8","alias_value":"R44RNP67","created_at":"2026-07-05T09:35:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:R44RNP67A53GIDZO7TY73DBJ7T","target":"record","payload":{"canonical_record":{"source":{"id":"2411.09313","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-11-14T09:40:25Z","cross_cats_sorted":[],"title_canon_sha256":"eda985d72b2162b70dd34f7630123d8b0ab8afa815e921a4f6aefdb826f36315","abstract_canon_sha256":"abfc4f28f7d4bf55d5a62b69fed4315e6189f1e6f79d2cfc1cad8f6e71eefd4b"},"schema_version":"1.0"},"canonical_sha256":"8f3916bfdf0776640f2efcf1fd8c29fceb6f9fb15d0cb4bbdb80425ac4c3349a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:24.881567Z","signature_b64":"Y4heJ/eQlkup8WeiX7zYSlfSp08+XUP8iRNJPOFYiWSFrP52YZH0Ue8LUUSyISZIdqu4Dxl64jmRV2QNtWQZCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f3916bfdf0776640f2efcf1fd8c29fceb6f9fb15d0cb4bbdb80425ac4c3349a","last_reissued_at":"2026-07-05T09:35:24.881047Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:24.881047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.09313","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":"2026-07-05T09:35:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EVPXb902Rt4RcsNmwKqL1m5x+4tYILSsvDvIbzZsxCEApmVl3ZfSG0hqA6NcJGgCxQrD0rbocYtUKJcG8Rz2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:58:57.048416Z"},"content_sha256":"76cc4c409f37920c9021d0f641269b4d6fb328f46afaf967813acda61ec190df","schema_version":"1.0","event_id":"sha256:76cc4c409f37920c9021d0f641269b4d6fb328f46afaf967813acda61ec190df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:R44RNP67A53GIDZO7TY73DBJ7T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Socio-Economic Consequences of Generative AI: A Review of Methodological Approaches","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Carlos J. Costa, Joao Tiago Aparicio, Manuela Aparicio","submitted_at":"2024-11-14T09:40:25Z","abstract_excerpt":"The widespread adoption of generative artificial intelligence (AI) has fundamentally transformed technological landscapes and societal structures in recent years. Our objective is to identify the primary methodologies that may be used to help predict the economic and social impacts of generative AI adoption. Through a comprehensive literature review, we uncover a range of methodologies poised to assess the multifaceted impacts of this technological revolution. We explore Agent-Based Simulation (ABS), Econometric Models, Input-Output Analysis, Reinforcement Learning (RL) for Decision-Making Age"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09313","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/2411.09313/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":"2026-07-05T09:35:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Godbvj6JYm7WYZs8U6lNlBs8Fzx+Ux/0dwx6X7x3/uY3GfVhs/tJt1bBEDSvH5IChMeUJulQclEKa9kpXtHBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:58:57.049092Z"},"content_sha256":"871e2c1219163f8cf22e6db9e512bd105324fba4f84448235650a307e84083a9","schema_version":"1.0","event_id":"sha256:871e2c1219163f8cf22e6db9e512bd105324fba4f84448235650a307e84083a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R44RNP67A53GIDZO7TY73DBJ7T/bundle.json","state_url":"https://pith.science/pith/R44RNP67A53GIDZO7TY73DBJ7T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R44RNP67A53GIDZO7TY73DBJ7T/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":"2026-08-19T14:58:57Z","links":{"resolver":"https://pith.science/pith/R44RNP67A53GIDZO7TY73DBJ7T","bundle":"https://pith.science/pith/R44RNP67A53GIDZO7TY73DBJ7T/bundle.json","state":"https://pith.science/pith/R44RNP67A53GIDZO7TY73DBJ7T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R44RNP67A53GIDZO7TY73DBJ7T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:R44RNP67A53GIDZO7TY73DBJ7T","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":"abfc4f28f7d4bf55d5a62b69fed4315e6189f1e6f79d2cfc1cad8f6e71eefd4b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-11-14T09:40:25Z","title_canon_sha256":"eda985d72b2162b70dd34f7630123d8b0ab8afa815e921a4f6aefdb826f36315"},"schema_version":"1.0","source":{"id":"2411.09313","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09313","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09313v1","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09313","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_12","alias_value":"R44RNP67A53G","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_16","alias_value":"R44RNP67A53GIDZO","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_8","alias_value":"R44RNP67","created_at":"2026-07-05T09:35:24Z"}],"graph_snapshots":[{"event_id":"sha256:871e2c1219163f8cf22e6db9e512bd105324fba4f84448235650a307e84083a9","target":"graph","created_at":"2026-07-05T09:35:24Z","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/2411.09313/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The widespread adoption of generative artificial intelligence (AI) has fundamentally transformed technological landscapes and societal structures in recent years. Our objective is to identify the primary methodologies that may be used to help predict the economic and social impacts of generative AI adoption. Through a comprehensive literature review, we uncover a range of methodologies poised to assess the multifaceted impacts of this technological revolution. We explore Agent-Based Simulation (ABS), Econometric Models, Input-Output Analysis, Reinforcement Learning (RL) for Decision-Making Age","authors_text":"Carlos J. Costa, Joao Tiago Aparicio, Manuela Aparicio","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-11-14T09:40:25Z","title":"Socio-Economic Consequences of Generative AI: A Review of Methodological Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09313","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":"sha256:76cc4c409f37920c9021d0f641269b4d6fb328f46afaf967813acda61ec190df","target":"record","created_at":"2026-07-05T09:35:24Z","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":"abfc4f28f7d4bf55d5a62b69fed4315e6189f1e6f79d2cfc1cad8f6e71eefd4b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-11-14T09:40:25Z","title_canon_sha256":"eda985d72b2162b70dd34f7630123d8b0ab8afa815e921a4f6aefdb826f36315"},"schema_version":"1.0","source":{"id":"2411.09313","kind":"arxiv","version":1}},"canonical_sha256":"8f3916bfdf0776640f2efcf1fd8c29fceb6f9fb15d0cb4bbdb80425ac4c3349a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f3916bfdf0776640f2efcf1fd8c29fceb6f9fb15d0cb4bbdb80425ac4c3349a","first_computed_at":"2026-07-05T09:35:24.881047Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:24.881047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y4heJ/eQlkup8WeiX7zYSlfSp08+XUP8iRNJPOFYiWSFrP52YZH0Ue8LUUSyISZIdqu4Dxl64jmRV2QNtWQZCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:24.881567Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09313","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76cc4c409f37920c9021d0f641269b4d6fb328f46afaf967813acda61ec190df","sha256:871e2c1219163f8cf22e6db9e512bd105324fba4f84448235650a307e84083a9"],"state_sha256":"4f61a48a9ef492852579867b34b31a31457a04fc52b55b690cf1649f383e1f2f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GrwElHp7AW0Iy0stN/tLsACsHbt8u2SmI1TGOOiukuMrALOHo0D4TkdGlWsqnwXNc6KGh6SpX7V9z/3/u8lLCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T14:58:57.053165Z","bundle_sha256":"8082a609d1072498930e3b708a9dd9b041c4d2e2dfa1d94ce60bfb22ae8266e0"}}