{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MBBBGAMDF6BLSSUHTGHXY5JP3H","short_pith_number":"pith:MBBBGAMD","canonical_record":{"source":{"id":"2311.17252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2023-11-28T22:25:02Z","cross_cats_sorted":["econ.GN","q-fin.EC"],"title_canon_sha256":"05bb7e0a3a83b2e2ae63580f9d38742a801d522545c02ca25ab5702eb7c2b7c6","abstract_canon_sha256":"d43ce74d3d32f58eb578922e1e3c64ed0527f67c8fbaa7801dc361b0c8919e54"},"schema_version":"1.0"},"canonical_sha256":"60421301832f82b94a87998f7c752fd9e5906d1fe6828b7d76928be86eab03d9","source":{"kind":"arxiv","id":"2311.17252","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17252","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17252v1","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17252","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"MBBBGAMDF6BL","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"MBBBGAMDF6BLSSUH","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"MBBBGAMD","created_at":"2026-07-05T07:18:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MBBBGAMDF6BLSSUHTGHXY5JP3H","target":"record","payload":{"canonical_record":{"source":{"id":"2311.17252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2023-11-28T22:25:02Z","cross_cats_sorted":["econ.GN","q-fin.EC"],"title_canon_sha256":"05bb7e0a3a83b2e2ae63580f9d38742a801d522545c02ca25ab5702eb7c2b7c6","abstract_canon_sha256":"d43ce74d3d32f58eb578922e1e3c64ed0527f67c8fbaa7801dc361b0c8919e54"},"schema_version":"1.0"},"canonical_sha256":"60421301832f82b94a87998f7c752fd9e5906d1fe6828b7d76928be86eab03d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:18:00.081084Z","signature_b64":"c72Tf4EcuQ45taWKFPQ+2jm5OezRD+GR3ejKinWusjUCCxShYtav008SCxxwtoGOI73J6D97N5cwglSu8qvgCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60421301832f82b94a87998f7c752fd9e5906d1fe6828b7d76928be86eab03d9","last_reissued_at":"2026-07-05T07:18:00.080142Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:18:00.080142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.17252","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":"2026-07-05T07:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s2Vr2lNMjVyjAI2aLrtN+nK72begOMy2CJ407eQ3vSuY1LL9aHClbAAQpnPXS6JXi1I0obiV1M+vPQPFvEPaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:15:13.241952Z"},"content_sha256":"71ada86267602d817fd1f93cb244317e5ceca6b7188cae12d951a121876d7c58","schema_version":"1.0","event_id":"sha256:71ada86267602d817fd1f93cb244317e5ceca6b7188cae12d951a121876d7c58"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MBBBGAMDF6BLSSUHTGHXY5JP3H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["econ.GN","q-fin.EC"],"primary_cat":"cs.MA","authors_text":"Jialin Dong, Kshama Dwarakanath, Svitlana Vyetrenko","submitted_at":"2023-11-28T22:25:02Z","abstract_excerpt":"In economic modeling, there has been an increasing investigation into multi-agent simulators. Nevertheless, state-of-the-art studies establish the model based on reinforcement learning (RL) exclusively for specific agent categories, e.g., households, firms, or the government. It lacks concerns over the resulting adaptation of other pivotal agents, thereby disregarding the complex interactions within a real-world economic system. Furthermore, we pay attention to the vital role of the government policy in distributing tax credits. Instead of uniform distribution considered in state-of-the-art, i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17252","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/2311.17252/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":"2026-07-05T07:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mcmGPdoUJXiQyMcLt9UFhjGxUKalT5jn4dGxhXnZUpkfULDChW0ny/ff3a6kY0uiXhoX1i4P6ffqWZhFDltcAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:15:13.242333Z"},"content_sha256":"a9c0db687d58f3ea96adb1bfbc2a2101aa7a224e435438d39b465161b4f2139c","schema_version":"1.0","event_id":"sha256:a9c0db687d58f3ea96adb1bfbc2a2101aa7a224e435438d39b465161b4f2139c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MBBBGAMDF6BLSSUHTGHXY5JP3H/bundle.json","state_url":"https://pith.science/pith/MBBBGAMDF6BLSSUHTGHXY5JP3H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MBBBGAMDF6BLSSUHTGHXY5JP3H/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":"2026-07-07T02:15:13Z","links":{"resolver":"https://pith.science/pith/MBBBGAMDF6BLSSUHTGHXY5JP3H","bundle":"https://pith.science/pith/MBBBGAMDF6BLSSUHTGHXY5JP3H/bundle.json","state":"https://pith.science/pith/MBBBGAMDF6BLSSUHTGHXY5JP3H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MBBBGAMDF6BLSSUHTGHXY5JP3H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MBBBGAMDF6BLSSUHTGHXY5JP3H","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":"d43ce74d3d32f58eb578922e1e3c64ed0527f67c8fbaa7801dc361b0c8919e54","cross_cats_sorted":["econ.GN","q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2023-11-28T22:25:02Z","title_canon_sha256":"05bb7e0a3a83b2e2ae63580f9d38742a801d522545c02ca25ab5702eb7c2b7c6"},"schema_version":"1.0","source":{"id":"2311.17252","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17252","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17252v1","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17252","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"MBBBGAMDF6BL","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"MBBBGAMDF6BLSSUH","created_at":"2026-07-05T07:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"MBBBGAMD","created_at":"2026-07-05T07:18:00Z"}],"graph_snapshots":[{"event_id":"sha256:a9c0db687d58f3ea96adb1bfbc2a2101aa7a224e435438d39b465161b4f2139c","target":"graph","created_at":"2026-07-05T07:18:00Z","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/2311.17252/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In economic modeling, there has been an increasing investigation into multi-agent simulators. Nevertheless, state-of-the-art studies establish the model based on reinforcement learning (RL) exclusively for specific agent categories, e.g., households, firms, or the government. It lacks concerns over the resulting adaptation of other pivotal agents, thereby disregarding the complex interactions within a real-world economic system. Furthermore, we pay attention to the vital role of the government policy in distributing tax credits. Instead of uniform distribution considered in state-of-the-art, i","authors_text":"Jialin Dong, Kshama Dwarakanath, Svitlana Vyetrenko","cross_cats":["econ.GN","q-fin.EC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2023-11-28T22:25:02Z","title":"Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17252","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":"sha256:71ada86267602d817fd1f93cb244317e5ceca6b7188cae12d951a121876d7c58","target":"record","created_at":"2026-07-05T07:18:00Z","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":"d43ce74d3d32f58eb578922e1e3c64ed0527f67c8fbaa7801dc361b0c8919e54","cross_cats_sorted":["econ.GN","q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2023-11-28T22:25:02Z","title_canon_sha256":"05bb7e0a3a83b2e2ae63580f9d38742a801d522545c02ca25ab5702eb7c2b7c6"},"schema_version":"1.0","source":{"id":"2311.17252","kind":"arxiv","version":1}},"canonical_sha256":"60421301832f82b94a87998f7c752fd9e5906d1fe6828b7d76928be86eab03d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60421301832f82b94a87998f7c752fd9e5906d1fe6828b7d76928be86eab03d9","first_computed_at":"2026-07-05T07:18:00.080142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:00.080142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c72Tf4EcuQ45taWKFPQ+2jm5OezRD+GR3ejKinWusjUCCxShYtav008SCxxwtoGOI73J6D97N5cwglSu8qvgCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:00.081084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.17252","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71ada86267602d817fd1f93cb244317e5ceca6b7188cae12d951a121876d7c58","sha256:a9c0db687d58f3ea96adb1bfbc2a2101aa7a224e435438d39b465161b4f2139c"],"state_sha256":"1abbac0af1082ea23105815124fc3446626192df26b14ab7d8b3c2690ac7341c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ijK4m2xae7EP257PusKpy+yoRtZRqF8SUvwOHtJ/WiWDUXcqKSoV3gwprxfgYOQnb7bNOIbPMtn85mMaCyLKCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:15:13.244455Z","bundle_sha256":"08752341ee6294f16471b5ff176adfc80657476a1a4c75cab22cc1964ff0124b"}}