{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2LBBGLMCWVV5ASYYYEX25BCO65","short_pith_number":"pith:2LBBGLMC","schema_version":"1.0","canonical_sha256":"d2c2132d82b56bd04b18c12fae844ef777fec657ba0b7eca6c1d268829f41956","source":{"kind":"arxiv","id":"2504.20529","version":1},"attestation_state":"computed","paper":{"title":"Safe Bottom-Up Flexibility Provision from Distributed Energy Resources","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Costas Mylonas, Emmanouel Varvarigos, Georgios Tsaousoglou","submitted_at":"2025-04-29T08:16:15Z","abstract_excerpt":"Modern renewables-based power systems need to tap on the flexibility of Distributed Energy Resources (DERs) connected to distribution networks. It is important, however, that DER owners/users remain in control of their assets, decisions, and objectives. At the same time, the dynamic landscape of DER-penetrated distribution networks calls for agile, data-driven flexibility management frameworks. In the face of these developments, the Multi-Agent Reinforcement Learning (MARL) paradigm is gaining significant attention, as a distributed and data-driven decision-making policy. This paper addresses "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2504.20529","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-04-29T08:16:15Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"c60c72057c3316b600551751bcc3e6994a814cafe6cb0791acdcdc7057190c3a","abstract_canon_sha256":"76abc1d71f5a7961851c5424f93a79ad82f83c3136bc4ea5cd9b1b57b74cc544"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:55:43.973804Z","signature_b64":"QDDtuJhUEG4xh7qvwm1yf3CNVofaEwvGPrPYZn/Mf5Seia8q8tcJ+9hw86FgEpnWgjMV+dkkIhZID3ac1qhVDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2c2132d82b56bd04b18c12fae844ef777fec657ba0b7eca6c1d268829f41956","last_reissued_at":"2026-07-05T10:55:43.973211Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:55:43.973211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Safe Bottom-Up Flexibility Provision from Distributed Energy Resources","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Costas Mylonas, Emmanouel Varvarigos, Georgios Tsaousoglou","submitted_at":"2025-04-29T08:16:15Z","abstract_excerpt":"Modern renewables-based power systems need to tap on the flexibility of Distributed Energy Resources (DERs) connected to distribution networks. It is important, however, that DER owners/users remain in control of their assets, decisions, and objectives. At the same time, the dynamic landscape of DER-penetrated distribution networks calls for agile, data-driven flexibility management frameworks. In the face of these developments, the Multi-Agent Reinforcement Learning (MARL) paradigm is gaining significant attention, as a distributed and data-driven decision-making policy. This paper addresses "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20529","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/2504.20529/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2504.20529","created_at":"2026-07-05T10:55:43.973272+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.20529v1","created_at":"2026-07-05T10:55:43.973272+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20529","created_at":"2026-07-05T10:55:43.973272+00:00"},{"alias_kind":"pith_short_12","alias_value":"2LBBGLMCWVV5","created_at":"2026-07-05T10:55:43.973272+00:00"},{"alias_kind":"pith_short_16","alias_value":"2LBBGLMCWVV5ASYY","created_at":"2026-07-05T10:55:43.973272+00:00"},{"alias_kind":"pith_short_8","alias_value":"2LBBGLMC","created_at":"2026-07-05T10:55:43.973272+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65","json":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65.json","graph_json":"https://pith.science/api/pith-number/2LBBGLMCWVV5ASYYYEX25BCO65/graph.json","events_json":"https://pith.science/api/pith-number/2LBBGLMCWVV5ASYYYEX25BCO65/events.json","paper":"https://pith.science/paper/2LBBGLMC"},"agent_actions":{"view_html":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65","download_json":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65.json","view_paper":"https://pith.science/paper/2LBBGLMC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.20529&json=true","fetch_graph":"https://pith.science/api/pith-number/2LBBGLMCWVV5ASYYYEX25BCO65/graph.json","fetch_events":"https://pith.science/api/pith-number/2LBBGLMCWVV5ASYYYEX25BCO65/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65/action/storage_attestation","attest_author":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65/action/author_attestation","sign_citation":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65/action/citation_signature","submit_replication":"https://pith.science/pith/2LBBGLMCWVV5ASYYYEX25BCO65/action/replication_record"}},"created_at":"2026-07-05T10:55:43.973272+00:00","updated_at":"2026-07-05T10:55:43.973272+00:00"}