{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:AVWAZVTGFVH4OID5WSVMVKUJW3","short_pith_number":"pith:AVWAZVTG","canonical_record":{"source":{"id":"1805.06912","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-05-17T18:19:05Z","cross_cats_sorted":["cs.MA","cs.NI","math.IT"],"title_canon_sha256":"0bdaed46c572b0ad32ab574d3231129c74c3b8587b80494386bf5b55d0ca7299","abstract_canon_sha256":"323e7e40c34dd816fc8e9ef335f0e58cf1ffcdfc66b8183bd0021a4eb22558dc"},"schema_version":"1.0"},"canonical_sha256":"056c0cd6662d4fc7207db4aacaaa89b6db78a4bc09f255d95fc24e75d1bb2f03","source":{"kind":"arxiv","id":"1805.06912","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.06912","created_at":"2026-05-18T00:15:42Z"},{"alias_kind":"arxiv_version","alias_value":"1805.06912v1","created_at":"2026-05-18T00:15:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.06912","created_at":"2026-05-18T00:15:42Z"},{"alias_kind":"pith_short_12","alias_value":"AVWAZVTGFVH4","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AVWAZVTGFVH4OID5","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AVWAZVTG","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:AVWAZVTGFVH4OID5WSVMVKUJW3","target":"record","payload":{"canonical_record":{"source":{"id":"1805.06912","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-05-17T18:19:05Z","cross_cats_sorted":["cs.MA","cs.NI","math.IT"],"title_canon_sha256":"0bdaed46c572b0ad32ab574d3231129c74c3b8587b80494386bf5b55d0ca7299","abstract_canon_sha256":"323e7e40c34dd816fc8e9ef335f0e58cf1ffcdfc66b8183bd0021a4eb22558dc"},"schema_version":"1.0"},"canonical_sha256":"056c0cd6662d4fc7207db4aacaaa89b6db78a4bc09f255d95fc24e75d1bb2f03","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:42.751201Z","signature_b64":"mzA1AVGpv00A7KYj/mBAWl4/q86/JJ3TDdU+5ULF+MHKtJQBXnsVIJiD7hCZY5n7JRfT6aKaP2cB8mR94WlFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"056c0cd6662d4fc7207db4aacaaa89b6db78a4bc09f255d95fc24e75d1bb2f03","last_reissued_at":"2026-05-18T00:15:42.750576Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:42.750576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.06912","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":"2026-05-18T00:15:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3R5nQRjALFgGUPVmtaZg2LDaqDPkaHYFpdpvgenrIH6nHobtGk9qZ8ZcI7d3ZoVmV9uJ/dYz5NtGZBEm/dj+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T18:30:44.477280Z"},"content_sha256":"12dc0798820cbac76422723a8b03ab06b1f29a6d8109cb00e9144dd4fc70fe93","schema_version":"1.0","event_id":"sha256:12dc0798820cbac76422723a8b03ab06b1f29a6d8109cb00e9144dd4fc70fe93"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:AVWAZVTGFVH4OID5WSVMVKUJW3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast reinforcement learning for decentralized MAC optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.NI","math.IT"],"primary_cat":"cs.IT","authors_text":"Eleni Nisioti, Nikolaos Thomos","submitted_at":"2018-05-17T18:19:05Z","abstract_excerpt":"In this paper, we propose a novel decentralized framework for optimizing the transmission strategy of Irregular Repetition Slotted ALOHA (IRSA) protocol in sensor networks. We consider a hierarchical communication framework that ensures adaptivity to changing network conditions and does not require centralized control. The proposed solution is inspired by the reinforcement learning literature, and, in particular, Q-learning. To deal with sensor nodes' limited lifetime and communication range, we allow them to decide how many packet replicas to transmit considering only their own buffer state. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.06912","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":""},"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":"2026-05-18T00:15:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QYhK4tcTknAVVpi8zJyNHyEJEIdW7M/TSIkunkCIhAh79d0BtNU9/BmdK0M17kYoBjBwt0SUOCPcUU21TR/tAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T18:30:44.477983Z"},"content_sha256":"52bba323f4d3e7d3e0b2d4e66b1eb05838238642c7d64b1752d724323800091d","schema_version":"1.0","event_id":"sha256:52bba323f4d3e7d3e0b2d4e66b1eb05838238642c7d64b1752d724323800091d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AVWAZVTGFVH4OID5WSVMVKUJW3/bundle.json","state_url":"https://pith.science/pith/AVWAZVTGFVH4OID5WSVMVKUJW3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AVWAZVTGFVH4OID5WSVMVKUJW3/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":"2026-06-07T18:30:44Z","links":{"resolver":"https://pith.science/pith/AVWAZVTGFVH4OID5WSVMVKUJW3","bundle":"https://pith.science/pith/AVWAZVTGFVH4OID5WSVMVKUJW3/bundle.json","state":"https://pith.science/pith/AVWAZVTGFVH4OID5WSVMVKUJW3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AVWAZVTGFVH4OID5WSVMVKUJW3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AVWAZVTGFVH4OID5WSVMVKUJW3","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":"323e7e40c34dd816fc8e9ef335f0e58cf1ffcdfc66b8183bd0021a4eb22558dc","cross_cats_sorted":["cs.MA","cs.NI","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-05-17T18:19:05Z","title_canon_sha256":"0bdaed46c572b0ad32ab574d3231129c74c3b8587b80494386bf5b55d0ca7299"},"schema_version":"1.0","source":{"id":"1805.06912","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.06912","created_at":"2026-05-18T00:15:42Z"},{"alias_kind":"arxiv_version","alias_value":"1805.06912v1","created_at":"2026-05-18T00:15:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.06912","created_at":"2026-05-18T00:15:42Z"},{"alias_kind":"pith_short_12","alias_value":"AVWAZVTGFVH4","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AVWAZVTGFVH4OID5","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AVWAZVTG","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:52bba323f4d3e7d3e0b2d4e66b1eb05838238642c7d64b1752d724323800091d","target":"graph","created_at":"2026-05-18T00:15:42Z","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"},"paper":{"abstract_excerpt":"In this paper, we propose a novel decentralized framework for optimizing the transmission strategy of Irregular Repetition Slotted ALOHA (IRSA) protocol in sensor networks. We consider a hierarchical communication framework that ensures adaptivity to changing network conditions and does not require centralized control. The proposed solution is inspired by the reinforcement learning literature, and, in particular, Q-learning. To deal with sensor nodes' limited lifetime and communication range, we allow them to decide how many packet replicas to transmit considering only their own buffer state. ","authors_text":"Eleni Nisioti, Nikolaos Thomos","cross_cats":["cs.MA","cs.NI","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-05-17T18:19:05Z","title":"Fast reinforcement learning for decentralized MAC optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.06912","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":"sha256:12dc0798820cbac76422723a8b03ab06b1f29a6d8109cb00e9144dd4fc70fe93","target":"record","created_at":"2026-05-18T00:15:42Z","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":"323e7e40c34dd816fc8e9ef335f0e58cf1ffcdfc66b8183bd0021a4eb22558dc","cross_cats_sorted":["cs.MA","cs.NI","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-05-17T18:19:05Z","title_canon_sha256":"0bdaed46c572b0ad32ab574d3231129c74c3b8587b80494386bf5b55d0ca7299"},"schema_version":"1.0","source":{"id":"1805.06912","kind":"arxiv","version":1}},"canonical_sha256":"056c0cd6662d4fc7207db4aacaaa89b6db78a4bc09f255d95fc24e75d1bb2f03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"056c0cd6662d4fc7207db4aacaaa89b6db78a4bc09f255d95fc24e75d1bb2f03","first_computed_at":"2026-05-18T00:15:42.750576Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:42.750576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mzA1AVGpv00A7KYj/mBAWl4/q86/JJ3TDdU+5ULF+MHKtJQBXnsVIJiD7hCZY5n7JRfT6aKaP2cB8mR94WlFAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:42.751201Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.06912","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12dc0798820cbac76422723a8b03ab06b1f29a6d8109cb00e9144dd4fc70fe93","sha256:52bba323f4d3e7d3e0b2d4e66b1eb05838238642c7d64b1752d724323800091d"],"state_sha256":"45ea2d762342d945ea9d507441002583222fa7835618d3dcc1998efd93bfa217"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CKNc5NbDKm9XzwnKssmq1Y7w/ou1EMGlvGHHpv4DITnaYYvDm0GhVH1U846FsuPZ4/19zINJMgbb3r/8scQwCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T18:30:44.482270Z","bundle_sha256":"bd4613476bf73586eedde92f459667f1bc5714c184f0cdbd16205ff7c52d63a6"}}