{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DHRXEKZMQOAFYKBS5UZTU7VGWM","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":"55c5946e8f487100ae8b456e1b6770fa1b9f3c6f854838bad19e206682290d8f","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-13T07:19:01Z","title_canon_sha256":"6ce69aa8cc8aa49a9f518bfe7a1f10dd4e4ec7843325562c204fda458e971f1f"},"schema_version":"1.0","source":{"id":"2607.11177","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11177","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11177v1","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11177","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"DHRXEKZMQOAF","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"DHRXEKZMQOAFYKBS","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"DHRXEKZM","created_at":"2026-07-14T01:22:20Z"}],"graph_snapshots":[{"event_id":"sha256:776080686ceb7fa31cf5e0d0e97f1deb346057ae7c2c09fd834137f4956653b2","target":"graph","created_at":"2026-07-14T01:22:20Z","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/2607.11177/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose deep learning based NeuroMem-FHP framework for estimating the parameters of the fractional Hawkes process (FHP), a self-exciting point process that captures long-range dependence through a fractional Mittag-Leffler excitation kernel. Two neural architectures, namely a Long Short-Term Memory (LSTM) network and a Transformer, are developed to estimate the model parameters $(\\mu,\\gamma,\\alpha,\\beta)$ directly from sequences of inter-arrival times without requiring computationally intensive likelihood optimization. Experiments on synthetic data that both neural models sig","authors_text":"Aditya Maheshwari, Neha Gupta","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-13T07:19:01Z","title":"NeuroMem-FHP: A Likelihood-Free Deep Learning Framework for Parameter Estimation of Fractional Hawkes Process"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11177","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":"sha256:40bc76fbc83e97ddb16f9af38a2343fed64edfb46dfa4ec13c0534494337fc3f","target":"record","created_at":"2026-07-14T01:22:20Z","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":"55c5946e8f487100ae8b456e1b6770fa1b9f3c6f854838bad19e206682290d8f","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-13T07:19:01Z","title_canon_sha256":"6ce69aa8cc8aa49a9f518bfe7a1f10dd4e4ec7843325562c204fda458e971f1f"},"schema_version":"1.0","source":{"id":"2607.11177","kind":"arxiv","version":1}},"canonical_sha256":"19e3722b2c83805c2832ed333a7ea6b31f97c6e8ea806d64610c32e899414309","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19e3722b2c83805c2832ed333a7ea6b31f97c6e8ea806d64610c32e899414309","first_computed_at":"2026-07-14T01:22:20.624780Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:22:20.624780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"88OcUhJR/EkXUDmQQ/Yc6FCqxYLWdmaiTBeePI9vpyJxVnbk0VWWzcycQzYy3CMCmZEVaG/DKnNEjdrAy2jhBQ==","signature_status":"signed_v1","signed_at":"2026-07-14T01:22:20.625669Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11177","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40bc76fbc83e97ddb16f9af38a2343fed64edfb46dfa4ec13c0534494337fc3f","sha256:776080686ceb7fa31cf5e0d0e97f1deb346057ae7c2c09fd834137f4956653b2"],"state_sha256":"d8739a16cfc66098ee5ce8419dd13fc2ac72db993616c4db34dcc32692e268f4"}