{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ULNKAHQBRGPHSR7IM5AAFGYIGQ","short_pith_number":"pith:ULNKAHQB","canonical_record":{"source":{"id":"2509.02861","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-02T22:17:25Z","cross_cats_sorted":[],"title_canon_sha256":"662c8799078a3c012c1e413e1e904e3906d58729ee9cb986291af53fd50d5195","abstract_canon_sha256":"cbfb8a473efb4758f9a76f1848ed6581f965b40c2e7d3f8f0e406e8f710d0ce4"},"schema_version":"1.0"},"canonical_sha256":"a2daa01e01899e7947e86740029b08342cc3c217aba69f3e293813423d7c3cd4","source":{"kind":"arxiv","id":"2509.02861","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.02861","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"arxiv_version","alias_value":"2509.02861v1","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02861","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"pith_short_12","alias_value":"ULNKAHQBRGPH","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"pith_short_16","alias_value":"ULNKAHQBRGPHSR7I","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"pith_short_8","alias_value":"ULNKAHQB","created_at":"2026-07-05T12:03:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ULNKAHQBRGPHSR7IM5AAFGYIGQ","target":"record","payload":{"canonical_record":{"source":{"id":"2509.02861","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-02T22:17:25Z","cross_cats_sorted":[],"title_canon_sha256":"662c8799078a3c012c1e413e1e904e3906d58729ee9cb986291af53fd50d5195","abstract_canon_sha256":"cbfb8a473efb4758f9a76f1848ed6581f965b40c2e7d3f8f0e406e8f710d0ce4"},"schema_version":"1.0"},"canonical_sha256":"a2daa01e01899e7947e86740029b08342cc3c217aba69f3e293813423d7c3cd4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:58.712185Z","signature_b64":"I1u7uiVlEMPHpKH0CljXwxC6pxSpCUinq0YtvCKndxXfgjBoWsBf1qCEjaEHjpxVDUE4sH2o6RgDNB6nC6ieDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2daa01e01899e7947e86740029b08342cc3c217aba69f3e293813423d7c3cd4","last_reissued_at":"2026-07-05T12:03:58.711652Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:58.711652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.02861","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":"2026-07-05T12:03:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mhtGF1s6XYxcoQvs42NygWWcEcSj6DUBOScr3W67GBstbWhO/+54a9SVGUnNiseZ5/vwBwp+dLCjq4XViP7xDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:14:48.492184Z"},"content_sha256":"06ec23f1988e8dbee9bb48ba5cd375faa4aea8273f0b993a63e4b94ea313d86a","schema_version":"1.0","event_id":"sha256:06ec23f1988e8dbee9bb48ba5cd375faa4aea8273f0b993a63e4b94ea313d86a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ULNKAHQBRGPHSR7IM5AAFGYIGQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Power Grid Control with Graph-Based Distributed Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alberto Maria Metelli, Carlo Fabrizio, Gianvito Losapio, Marcello Restelli, Marco Mussi","submitted_at":"2025-09-02T22:17:25Z","abstract_excerpt":"The necessary integration of renewable energy sources, combined with the expanding scale of power networks, presents significant challenges in controlling modern power grids. Traditional control systems, which are human and optimization-based, struggle to adapt and to scale in such an evolving context, motivating the exploration of more dynamic and distributed control strategies. This work advances a graph-based distributed reinforcement learning framework for real-time, scalable grid management. The proposed architecture consists of a network of distributed low-level agents acting on individu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02861","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/2509.02861/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":"2026-07-05T12:03:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OKPwbrlK9ZjFGZyouohi7C/sOzvLfKe8ZbP5t/tlZQm7R3wt9V+bTZ+iv0/w+NMUjwsT3EbDTx+sQyq0oXb6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:14:48.493113Z"},"content_sha256":"287815c14bbe83b5140c5dc54411c73e433c4cd4bff7d89f9402122d7cfcdbd3","schema_version":"1.0","event_id":"sha256:287815c14bbe83b5140c5dc54411c73e433c4cd4bff7d89f9402122d7cfcdbd3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ULNKAHQBRGPHSR7IM5AAFGYIGQ/bundle.json","state_url":"https://pith.science/pith/ULNKAHQBRGPHSR7IM5AAFGYIGQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ULNKAHQBRGPHSR7IM5AAFGYIGQ/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":"2026-08-05T21:14:48Z","links":{"resolver":"https://pith.science/pith/ULNKAHQBRGPHSR7IM5AAFGYIGQ","bundle":"https://pith.science/pith/ULNKAHQBRGPHSR7IM5AAFGYIGQ/bundle.json","state":"https://pith.science/pith/ULNKAHQBRGPHSR7IM5AAFGYIGQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ULNKAHQBRGPHSR7IM5AAFGYIGQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ULNKAHQBRGPHSR7IM5AAFGYIGQ","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":"cbfb8a473efb4758f9a76f1848ed6581f965b40c2e7d3f8f0e406e8f710d0ce4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-02T22:17:25Z","title_canon_sha256":"662c8799078a3c012c1e413e1e904e3906d58729ee9cb986291af53fd50d5195"},"schema_version":"1.0","source":{"id":"2509.02861","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.02861","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"arxiv_version","alias_value":"2509.02861v1","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02861","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"pith_short_12","alias_value":"ULNKAHQBRGPH","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"pith_short_16","alias_value":"ULNKAHQBRGPHSR7I","created_at":"2026-07-05T12:03:58Z"},{"alias_kind":"pith_short_8","alias_value":"ULNKAHQB","created_at":"2026-07-05T12:03:58Z"}],"graph_snapshots":[{"event_id":"sha256:287815c14bbe83b5140c5dc54411c73e433c4cd4bff7d89f9402122d7cfcdbd3","target":"graph","created_at":"2026-07-05T12:03:58Z","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/2509.02861/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The necessary integration of renewable energy sources, combined with the expanding scale of power networks, presents significant challenges in controlling modern power grids. Traditional control systems, which are human and optimization-based, struggle to adapt and to scale in such an evolving context, motivating the exploration of more dynamic and distributed control strategies. This work advances a graph-based distributed reinforcement learning framework for real-time, scalable grid management. The proposed architecture consists of a network of distributed low-level agents acting on individu","authors_text":"Alberto Maria Metelli, Carlo Fabrizio, Gianvito Losapio, Marcello Restelli, Marco Mussi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-02T22:17:25Z","title":"Power Grid Control with Graph-Based Distributed Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02861","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":"sha256:06ec23f1988e8dbee9bb48ba5cd375faa4aea8273f0b993a63e4b94ea313d86a","target":"record","created_at":"2026-07-05T12:03:58Z","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":"cbfb8a473efb4758f9a76f1848ed6581f965b40c2e7d3f8f0e406e8f710d0ce4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-02T22:17:25Z","title_canon_sha256":"662c8799078a3c012c1e413e1e904e3906d58729ee9cb986291af53fd50d5195"},"schema_version":"1.0","source":{"id":"2509.02861","kind":"arxiv","version":1}},"canonical_sha256":"a2daa01e01899e7947e86740029b08342cc3c217aba69f3e293813423d7c3cd4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2daa01e01899e7947e86740029b08342cc3c217aba69f3e293813423d7c3cd4","first_computed_at":"2026-07-05T12:03:58.711652Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:58.711652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I1u7uiVlEMPHpKH0CljXwxC6pxSpCUinq0YtvCKndxXfgjBoWsBf1qCEjaEHjpxVDUE4sH2o6RgDNB6nC6ieDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:58.712185Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.02861","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06ec23f1988e8dbee9bb48ba5cd375faa4aea8273f0b993a63e4b94ea313d86a","sha256:287815c14bbe83b5140c5dc54411c73e433c4cd4bff7d89f9402122d7cfcdbd3"],"state_sha256":"329c5d29f712aea44671f73b09214ce1a586a6ff7e12e518a70f68caf7eed6a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qzZ3cKN5o36Lg5BoYh+ItIXjHVF8swUIzxFjevrKL6pIwe4sfOgrc/8k1l33D3GFOHVp4xnmCDX+oPpm289ICg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:14:48.500205Z","bundle_sha256":"abe323dc6945d68dc50961dd67ca2ee612ac077aba2e1637bbbfe4cba7ef99e4"}}