{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:EB2OYPFAL77IRIUULWDQWIFLHF","short_pith_number":"pith:EB2OYPFA","schema_version":"1.0","canonical_sha256":"2074ec3ca05ffe88a2945d870b20ab396168185b6a67fba521859200ee014880","source":{"kind":"arxiv","id":"2011.08004","version":1},"attestation_state":"computed","paper":{"title":"pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Avishai Halev, Gonzague Henri, Philippe Cordier, Reda Alami, Tanguy Levent","submitted_at":"2020-11-11T23:05:12Z","abstract_excerpt":"Microgrids, self contained electrical grids that are capable of disconnecting from the main grid, hold potential in both tackling climate change mitigation via reducing CO2 emissions and adaptation by increasing infrastructure resiliency. Due to their distributed nature, microgrids are often idiosyncratic; as a result, control of these systems is nontrivial. While microgrid simulators exist, many are limited in scope and in the variety of microgrids they can simulate. We propose pymgrid, an open-source Python package to generate and simulate a large number of microgrids, and the first open-sou"},"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":"2011.08004","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-11-11T23:05:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"eeb63a2e12edc8b513aeecb514bd25ec20a2c68d22e6b4c386fb9b90c7ff0868","abstract_canon_sha256":"3519475518b7ff865841d528b0a396f56037d2f746f5664aeb738b41b85ed810"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:51:56.363381Z","signature_b64":"QzQrX6xmP4nGNojKv8CtaAcoZR9W5G609S0mzWpgTUA7NlDNM0o6Al8FUPC9UMkGaYz+ikAu1/OAaT7QDBwjCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2074ec3ca05ffe88a2945d870b20ab396168185b6a67fba521859200ee014880","last_reissued_at":"2026-07-05T01:51:56.362941Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:51:56.362941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Avishai Halev, Gonzague Henri, Philippe Cordier, Reda Alami, Tanguy Levent","submitted_at":"2020-11-11T23:05:12Z","abstract_excerpt":"Microgrids, self contained electrical grids that are capable of disconnecting from the main grid, hold potential in both tackling climate change mitigation via reducing CO2 emissions and adaptation by increasing infrastructure resiliency. Due to their distributed nature, microgrids are often idiosyncratic; as a result, control of these systems is nontrivial. While microgrid simulators exist, many are limited in scope and in the variety of microgrids they can simulate. We propose pymgrid, an open-source Python package to generate and simulate a large number of microgrids, and the first open-sou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.08004","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/2011.08004/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":"2011.08004","created_at":"2026-07-05T01:51:56.363002+00:00"},{"alias_kind":"arxiv_version","alias_value":"2011.08004v1","created_at":"2026-07-05T01:51:56.363002+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.08004","created_at":"2026-07-05T01:51:56.363002+00:00"},{"alias_kind":"pith_short_12","alias_value":"EB2OYPFAL77I","created_at":"2026-07-05T01:51:56.363002+00:00"},{"alias_kind":"pith_short_16","alias_value":"EB2OYPFAL77IRIUU","created_at":"2026-07-05T01:51:56.363002+00:00"},{"alias_kind":"pith_short_8","alias_value":"EB2OYPFA","created_at":"2026-07-05T01:51:56.363002+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.12462","citing_title":"Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs","ref_index":16,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF","json":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF.json","graph_json":"https://pith.science/api/pith-number/EB2OYPFAL77IRIUULWDQWIFLHF/graph.json","events_json":"https://pith.science/api/pith-number/EB2OYPFAL77IRIUULWDQWIFLHF/events.json","paper":"https://pith.science/paper/EB2OYPFA"},"agent_actions":{"view_html":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF","download_json":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF.json","view_paper":"https://pith.science/paper/EB2OYPFA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2011.08004&json=true","fetch_graph":"https://pith.science/api/pith-number/EB2OYPFAL77IRIUULWDQWIFLHF/graph.json","fetch_events":"https://pith.science/api/pith-number/EB2OYPFAL77IRIUULWDQWIFLHF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF/action/storage_attestation","attest_author":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF/action/author_attestation","sign_citation":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF/action/citation_signature","submit_replication":"https://pith.science/pith/EB2OYPFAL77IRIUULWDQWIFLHF/action/replication_record"}},"created_at":"2026-07-05T01:51:56.363002+00:00","updated_at":"2026-07-05T01:51:56.363002+00:00"}