{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:IJKYJWGN42JVNPXHVGVJCV22CT","short_pith_number":"pith:IJKYJWGN","canonical_record":{"source":{"id":"2608.03933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-08-04T17:05:50Z","cross_cats_sorted":[],"title_canon_sha256":"389cf2db2f52a4308f82c36fd49a123157429c73981c606654f0ec35859942a3","abstract_canon_sha256":"87f3b7a0c5d4cac5fafac17bcaa1adb437419ed7a4cdb33989da19e457fc34e8"},"schema_version":"1.0"},"canonical_sha256":"425584d8cde69356bee7a9aa91575a14fd7a3938b2e9a4ae520538d3aff79733","source":{"kind":"arxiv","id":"2608.03933","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03933","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03933v1","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03933","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"pith_short_12","alias_value":"IJKYJWGN42JV","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"pith_short_16","alias_value":"IJKYJWGN42JVNPXH","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"pith_short_8","alias_value":"IJKYJWGN","created_at":"2026-08-05T01:37:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:IJKYJWGN42JVNPXHVGVJCV22CT","target":"record","payload":{"canonical_record":{"source":{"id":"2608.03933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-08-04T17:05:50Z","cross_cats_sorted":[],"title_canon_sha256":"389cf2db2f52a4308f82c36fd49a123157429c73981c606654f0ec35859942a3","abstract_canon_sha256":"87f3b7a0c5d4cac5fafac17bcaa1adb437419ed7a4cdb33989da19e457fc34e8"},"schema_version":"1.0"},"canonical_sha256":"425584d8cde69356bee7a9aa91575a14fd7a3938b2e9a4ae520538d3aff79733","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T01:37:32.266666Z","signature_b64":"AZyoK0OxiUmqiqEmT/4dcm0iLhxB+AF20yB54FveDYmlGhmciTdeGHUktUH4PNTGhXQe34gPl/r5LhlU9Hk3Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"425584d8cde69356bee7a9aa91575a14fd7a3938b2e9a4ae520538d3aff79733","last_reissued_at":"2026-08-05T01:37:32.264966Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T01:37:32.264966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.03933","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":"2026-08-05T01:37:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OI4qisSv8ycIUczrdlBBifdAms+XLnTH+2tFn0CE2v8jM9A3bTp+p1SRuKPFy2faE7k3eY0ffecrlxx4izQNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:14:39.356205Z"},"content_sha256":"09f7910d06aeab01e9c7c39ab26cdb92e115009c7bddc3b7c3b1ce4e14c4825b","schema_version":"1.0","event_id":"sha256:09f7910d06aeab01e9c7c39ab26cdb92e115009c7bddc3b7c3b1ce4e14c4825b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:IJKYJWGN42JVNPXHVGVJCV22CT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Alexander Michaelides, Jules Viard, Panos Parpas","submitted_at":"2026-08-04T17:05:50Z","abstract_excerpt":"Many economic decision problems, lifecycle consumption-saving and dynamic portfolio choice, are finite-horizon stochastic control problems with continuous states and actions. When the state is low-dimensional these problems are solved by dynamic programming on a grid. The grid cost grows exponentially in the state dimension, known as the curse of dimensionality, which motivates replacing the value-function grid with a neural policy optimized directly through simulation. Such policies are usually studied in the high-dimensional settings that motivate them, precisely where no reference solution "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03933","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/2608.03933/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":"2026-08-05T01:37:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BMkFWaE4KC90YXUUWm+sYvfALmFfk4wyD4B07MPomWRkyK/YeDBh9cEneAUh1s6KCIC90D70cmle9MRFqoY+AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:14:39.356575Z"},"content_sha256":"65e0ca4c23c8c1bca539fe398a78a1277214796f8f31bbd4b3400266df437e2d","schema_version":"1.0","event_id":"sha256:65e0ca4c23c8c1bca539fe398a78a1277214796f8f31bbd4b3400266df437e2d"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:IJKYJWGN42JVNPXHVGVJCV22CT","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1146/annurev-financial-012820-113815 resolves to 'Portfolio Choice Over the Life Cycle: A Survey'. A reader following the printed text alone cannot reach it.","snippet":"Francisco Gomes. 2020. Portfolio Choice over the Life Cycle: A Survey.An- nual Review of Financial Economics12, 1 (2020), 277–304. doi:10.1146/annurev- financial-012820-113815","arxiv_id":"2608.03933","detector":"doi_compliance","evidence":{"ref_index":7,"verdict_class":"incontrovertible","resolved_title":"Portfolio Choice Over the Life Cycle: A Survey","printed_excerpt":"10.1146/annurev-","reconstructed_doi":"10.1146/annurev-financial-012820-113815"},"severity":"advisory","ref_index":7,"audited_at":"2026-08-05T05:38:02.941503Z","event_type":"pith.integrity.v1","detected_doi":"10.1146/annurev-financial-012820-113815","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"bc648e6aa4bd4f83a60b1765c2d96ae637131bc6bbfe7cc709b955a2ad2a76f3","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Portfolio Choice Over the Life Cycle: A Survey","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18050,"payload_sha256":"c215e23c606e83f718c6f5734300eec2c0053e139ae1d745279093d5d5356a3b","signature_b64":"sFNNN0pb38u0IUdrlAogMslrSV8MxUbdFc1NJ2yVTdd+zJQIF4lMJqsUtlQP0zMeoVVs0TnYaeWzYu0k7GolDw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T05:38:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+eVWDFZQhwluRDn12iju3FTds+nwBcdLo96VoKdv5jQoy2l44hjF5i+fcTg0/zRiibsbYzR3ickPlwdJFAgiCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:14:39.358909Z"},"content_sha256":"a9dbc8ab5bedb48115e1356a6689d48c0ee50c8dcc99b72af11837bc78dde762","schema_version":"1.0","event_id":"sha256:a9dbc8ab5bedb48115e1356a6689d48c0ee50c8dcc99b72af11837bc78dde762"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IJKYJWGN42JVNPXHVGVJCV22CT/bundle.json","state_url":"https://pith.science/pith/IJKYJWGN42JVNPXHVGVJCV22CT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IJKYJWGN42JVNPXHVGVJCV22CT/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":"2026-08-21T12:14:39Z","links":{"resolver":"https://pith.science/pith/IJKYJWGN42JVNPXHVGVJCV22CT","bundle":"https://pith.science/pith/IJKYJWGN42JVNPXHVGVJCV22CT/bundle.json","state":"https://pith.science/pith/IJKYJWGN42JVNPXHVGVJCV22CT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IJKYJWGN42JVNPXHVGVJCV22CT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IJKYJWGN42JVNPXHVGVJCV22CT","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"87f3b7a0c5d4cac5fafac17bcaa1adb437419ed7a4cdb33989da19e457fc34e8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-08-04T17:05:50Z","title_canon_sha256":"389cf2db2f52a4308f82c36fd49a123157429c73981c606654f0ec35859942a3"},"schema_version":"1.0","source":{"id":"2608.03933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03933","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03933v1","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03933","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"pith_short_12","alias_value":"IJKYJWGN42JV","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"pith_short_16","alias_value":"IJKYJWGN42JVNPXH","created_at":"2026-08-05T01:37:32Z"},{"alias_kind":"pith_short_8","alias_value":"IJKYJWGN","created_at":"2026-08-05T01:37:32Z"}],"graph_snapshots":[{"event_id":"sha256:65e0ca4c23c8c1bca539fe398a78a1277214796f8f31bbd4b3400266df437e2d","target":"graph","created_at":"2026-08-05T01:37:32Z","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/2608.03933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many economic decision problems, lifecycle consumption-saving and dynamic portfolio choice, are finite-horizon stochastic control problems with continuous states and actions. When the state is low-dimensional these problems are solved by dynamic programming on a grid. The grid cost grows exponentially in the state dimension, known as the curse of dimensionality, which motivates replacing the value-function grid with a neural policy optimized directly through simulation. Such policies are usually studied in the high-dimensional settings that motivate them, precisely where no reference solution ","authors_text":"Alexander Michaelides, Jules Viard, Panos Parpas","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-08-04T17:05:50Z","title":"Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03933","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":"sha256:09f7910d06aeab01e9c7c39ab26cdb92e115009c7bddc3b7c3b1ce4e14c4825b","target":"record","created_at":"2026-08-05T01:37:32Z","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":"87f3b7a0c5d4cac5fafac17bcaa1adb437419ed7a4cdb33989da19e457fc34e8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-08-04T17:05:50Z","title_canon_sha256":"389cf2db2f52a4308f82c36fd49a123157429c73981c606654f0ec35859942a3"},"schema_version":"1.0","source":{"id":"2608.03933","kind":"arxiv","version":1}},"canonical_sha256":"425584d8cde69356bee7a9aa91575a14fd7a3938b2e9a4ae520538d3aff79733","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"425584d8cde69356bee7a9aa91575a14fd7a3938b2e9a4ae520538d3aff79733","first_computed_at":"2026-08-05T01:37:32.264966Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T01:37:32.264966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AZyoK0OxiUmqiqEmT/4dcm0iLhxB+AF20yB54FveDYmlGhmciTdeGHUktUH4PNTGhXQe34gPl/r5LhlU9Hk3Cw==","signature_status":"signed_v1","signed_at":"2026-08-05T01:37:32.266666Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.03933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09f7910d06aeab01e9c7c39ab26cdb92e115009c7bddc3b7c3b1ce4e14c4825b","sha256:65e0ca4c23c8c1bca539fe398a78a1277214796f8f31bbd4b3400266df437e2d","sha256:a9dbc8ab5bedb48115e1356a6689d48c0ee50c8dcc99b72af11837bc78dde762"],"state_sha256":"9694c502ec0127e5bba13ee015503278a23bdb19164adc17bca81862da74612d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rES+hyMpO0mYNx84dHB020cBUwO4ZaAA2OMrHISC8iX0EYz66MT3j40BNynqfMAoJcs0ShCbvvuYSqrO4VUYCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T12:14:39.360407Z","bundle_sha256":"dac1c102217daceb378e17bcd105467cb31887461d424d9148824bc556f573fa"}}