{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NLWI3HBDOG4SRU5WCASIGUQC77","short_pith_number":"pith:NLWI3HBD","canonical_record":{"source":{"id":"2607.24131","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-27T08:14:29Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"aae3608a550d2392a5049f1bada346d5db38964f51511ab8daed3dd06c2dac81","abstract_canon_sha256":"08f17e0ea530f9191ef6ba6159bf5b5da680478afea5c0fcf2c39cc5b741a523"},"schema_version":"1.0"},"canonical_sha256":"6aec8d9c2371b928d3b61024835202fff51704046378bc6b07bc26bfb9df3c97","source":{"kind":"arxiv","id":"2607.24131","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24131","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24131v1","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24131","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"pith_short_12","alias_value":"NLWI3HBDOG4S","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"pith_short_16","alias_value":"NLWI3HBDOG4SRU5W","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"pith_short_8","alias_value":"NLWI3HBD","created_at":"2026-07-28T01:23:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NLWI3HBDOG4SRU5WCASIGUQC77","target":"record","payload":{"canonical_record":{"source":{"id":"2607.24131","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-27T08:14:29Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"aae3608a550d2392a5049f1bada346d5db38964f51511ab8daed3dd06c2dac81","abstract_canon_sha256":"08f17e0ea530f9191ef6ba6159bf5b5da680478afea5c0fcf2c39cc5b741a523"},"schema_version":"1.0"},"canonical_sha256":"6aec8d9c2371b928d3b61024835202fff51704046378bc6b07bc26bfb9df3c97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:46.610065Z","signature_b64":"Vfrnl+tl31q/YmF44ua+9yeFMY3MHFrY+0ID69lYsilfkpAIlLd7dO1g9F5uDa61zefNfAJKI3OTZnNt4kN8BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6aec8d9c2371b928d3b61024835202fff51704046378bc6b07bc26bfb9df3c97","last_reissued_at":"2026-07-28T01:23:46.609240Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:46.609240Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.24131","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":"2026-07-28T01:23:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IEtLE6EBOVYxJIUhmywauwbhgPyodhW6auuT3BsWLZaOP1lU1rdnN3++uZLVz1aAxUaAHZ3ndLFlb0rb8Gu8CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T16:43:19.568435Z"},"content_sha256":"9cfe5a3fd8dc542f09ddda67c8551847fbd912d8c7e7f7a8c085463f8c858fc8","schema_version":"1.0","event_id":"sha256:9cfe5a3fd8dc542f09ddda67c8551847fbd912d8c7e7f7a8c085463f8c858fc8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NLWI3HBDOG4SRU5WCASIGUQC77","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MAPLE: Efficient and Diverse Multi-Alpha Generation for Portfolio Construction","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.LG","authors_text":"Kendro Vincent, Kuan-Yu Chen, Tien-Hao Chang, Yu-Chen Den","submitted_at":"2026-07-27T08:14:29Z","abstract_excerpt":"Classical alpha mining achieves strong risk-adjusted returns by combining many low-correlated predictive signals, yet deep learning stock-ranking methods typically produce a single alpha per stock, rely on increasingly complex architectures with diminishing gains, and obtain diversity only through separate models or implicit routing, without explicitly controlling inter-alpha correlation. We introduce MAPLE (Multi-Alpha Position-aware Listwise Ensembling), a backbone-agnostic framework that recovers this diversity principle within a single training pass. MAPLE combines a unified, capacity-scal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24131","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/2607.24131/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":"2026-07-28T01:23:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j+j0SXq+EW9bV9BU95rYkLeBUGlV+pxngZbLYF3BaolqvUDrEBd1MntHmmWtDKJhAvIO5v/xHZ4WWJtn8De3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T16:43:19.568943Z"},"content_sha256":"5a6e5747fad8ee424d18d8f1db08adbd8d481aa5edc59489db0fe81280b365b4","schema_version":"1.0","event_id":"sha256:5a6e5747fad8ee424d18d8f1db08adbd8d481aa5edc59489db0fe81280b365b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NLWI3HBDOG4SRU5WCASIGUQC77/bundle.json","state_url":"https://pith.science/pith/NLWI3HBDOG4SRU5WCASIGUQC77/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NLWI3HBDOG4SRU5WCASIGUQC77/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":"2026-08-21T16:43:19Z","links":{"resolver":"https://pith.science/pith/NLWI3HBDOG4SRU5WCASIGUQC77","bundle":"https://pith.science/pith/NLWI3HBDOG4SRU5WCASIGUQC77/bundle.json","state":"https://pith.science/pith/NLWI3HBDOG4SRU5WCASIGUQC77/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NLWI3HBDOG4SRU5WCASIGUQC77/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NLWI3HBDOG4SRU5WCASIGUQC77","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":"08f17e0ea530f9191ef6ba6159bf5b5da680478afea5c0fcf2c39cc5b741a523","cross_cats_sorted":["cs.CE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-27T08:14:29Z","title_canon_sha256":"aae3608a550d2392a5049f1bada346d5db38964f51511ab8daed3dd06c2dac81"},"schema_version":"1.0","source":{"id":"2607.24131","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24131","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24131v1","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24131","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"pith_short_12","alias_value":"NLWI3HBDOG4S","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"pith_short_16","alias_value":"NLWI3HBDOG4SRU5W","created_at":"2026-07-28T01:23:46Z"},{"alias_kind":"pith_short_8","alias_value":"NLWI3HBD","created_at":"2026-07-28T01:23:46Z"}],"graph_snapshots":[{"event_id":"sha256:5a6e5747fad8ee424d18d8f1db08adbd8d481aa5edc59489db0fe81280b365b4","target":"graph","created_at":"2026-07-28T01:23:46Z","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/2607.24131/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Classical alpha mining achieves strong risk-adjusted returns by combining many low-correlated predictive signals, yet deep learning stock-ranking methods typically produce a single alpha per stock, rely on increasingly complex architectures with diminishing gains, and obtain diversity only through separate models or implicit routing, without explicitly controlling inter-alpha correlation. We introduce MAPLE (Multi-Alpha Position-aware Listwise Ensembling), a backbone-agnostic framework that recovers this diversity principle within a single training pass. MAPLE combines a unified, capacity-scal","authors_text":"Kendro Vincent, Kuan-Yu Chen, Tien-Hao Chang, Yu-Chen Den","cross_cats":["cs.CE"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-27T08:14:29Z","title":"MAPLE: Efficient and Diverse Multi-Alpha Generation for Portfolio Construction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24131","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":"sha256:9cfe5a3fd8dc542f09ddda67c8551847fbd912d8c7e7f7a8c085463f8c858fc8","target":"record","created_at":"2026-07-28T01:23:46Z","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":"08f17e0ea530f9191ef6ba6159bf5b5da680478afea5c0fcf2c39cc5b741a523","cross_cats_sorted":["cs.CE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-27T08:14:29Z","title_canon_sha256":"aae3608a550d2392a5049f1bada346d5db38964f51511ab8daed3dd06c2dac81"},"schema_version":"1.0","source":{"id":"2607.24131","kind":"arxiv","version":1}},"canonical_sha256":"6aec8d9c2371b928d3b61024835202fff51704046378bc6b07bc26bfb9df3c97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6aec8d9c2371b928d3b61024835202fff51704046378bc6b07bc26bfb9df3c97","first_computed_at":"2026-07-28T01:23:46.609240Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T01:23:46.609240Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vfrnl+tl31q/YmF44ua+9yeFMY3MHFrY+0ID69lYsilfkpAIlLd7dO1g9F5uDa61zefNfAJKI3OTZnNt4kN8BQ==","signature_status":"signed_v1","signed_at":"2026-07-28T01:23:46.610065Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.24131","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9cfe5a3fd8dc542f09ddda67c8551847fbd912d8c7e7f7a8c085463f8c858fc8","sha256:5a6e5747fad8ee424d18d8f1db08adbd8d481aa5edc59489db0fe81280b365b4"],"state_sha256":"b0799960ae70f45b937c8a35fcf4a651ecb46e42b0924251221b696a2494ba1f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4cRwyR3T/9rbJxEX8SPTm2V1Y/Mx9A4AfsbaCQ57KDDLRUb/aIt9seI4imY4QbsrHLldPYIzLuSK6c9BS574Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T16:43:19.575273Z","bundle_sha256":"50dc9bd682b1435f2f81b3b7dca6b3f07873384cb71d3c1c60ef51816b65e018"}}