{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GAI536EVL6TIL2BTQABWNMCP63","short_pith_number":"pith:GAI536EV","canonical_record":{"source":{"id":"1906.09811","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-06-24T09:36:52Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"fb52fd26629e5a3609db35e13b85f0a6bb82dff23ecd1c5ee11c0020a06186f4","abstract_canon_sha256":"18893305ab5fcc5ce49fa7fc03d85926fb5aebaffe5dc82e11fbec2eb0b4d188"},"schema_version":"1.0"},"canonical_sha256":"3011ddf8955fa685e833800366b04ff6fe5ac03ecc51a223b68d10d4026564e5","source":{"kind":"arxiv","id":"1906.09811","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09811","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09811v1","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09811","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"pith_short_12","alias_value":"GAI536EVL6TI","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GAI536EVL6TIL2BT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GAI536EV","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GAI536EVL6TIL2BTQABWNMCP63","target":"record","payload":{"canonical_record":{"source":{"id":"1906.09811","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-06-24T09:36:52Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"fb52fd26629e5a3609db35e13b85f0a6bb82dff23ecd1c5ee11c0020a06186f4","abstract_canon_sha256":"18893305ab5fcc5ce49fa7fc03d85926fb5aebaffe5dc82e11fbec2eb0b4d188"},"schema_version":"1.0"},"canonical_sha256":"3011ddf8955fa685e833800366b04ff6fe5ac03ecc51a223b68d10d4026564e5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:36.608195Z","signature_b64":"cExND10QEa26VYy5Tee1ZLbuV8RiKg0y9McVjqKrjwCQoHDFOD/8phqRqlvN86BNQ7eHCsbar12uB9dDDxZnCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3011ddf8955fa685e833800366b04ff6fe5ac03ecc51a223b68d10d4026564e5","last_reissued_at":"2026-05-17T23:42:36.607265Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:36.607265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.09811","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":"2026-05-17T23:42:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sWN8gFsPkiWySodGrJotD7liNwA9qtn1EdYc6jA7WqXVQUwP/BWU1uW07lXHlzHt7bL2vuuCy1WAyZf5cjW3Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T05:19:46.804664Z"},"content_sha256":"14091ad428d9533a5ffe695df73fb8e9858461b093779aec93958bf0478cc033","schema_version":"1.0","event_id":"sha256:14091ad428d9533a5ffe695df73fb8e9858461b093779aec93958bf0478cc033"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GAI536EVL6TIL2BTQABWNMCP63","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Blind decoding in $\\alpha$-Stable noise: An online learning approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Sheetal Kalyani, Vishnu Raj","submitted_at":"2019-06-24T09:36:52Z","abstract_excerpt":"A novel method for performing error control coding in Symmetric $\\alpha-$Stable noise environments without any prior knowledge about the value of $\\alpha$ is introduced. We use an online learning framework which employs multiple distributions to decode the received block and then combines these results based on the past performance of each individual distributions. The proposed method is also able to handle a mixture of Symmetric $\\alpha-$Stable distributed noises. Performance results in turbo coded system highlight the utility of the work."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09811","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":"2026-05-17T23:42:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tINhjW3LImGMckdqcRO0hjhzPaFaW4tLePC+Wcakxc6vHASck/MRP2Zv4Fei9L45surramXRoxeaW9VorA0+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T05:19:46.805014Z"},"content_sha256":"cc490317c05720d89a022c0c4e29e3e8f6bc474b0dcf36e6b777eb9ba2566b6a","schema_version":"1.0","event_id":"sha256:cc490317c05720d89a022c0c4e29e3e8f6bc474b0dcf36e6b777eb9ba2566b6a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GAI536EVL6TIL2BTQABWNMCP63/bundle.json","state_url":"https://pith.science/pith/GAI536EVL6TIL2BTQABWNMCP63/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GAI536EVL6TIL2BTQABWNMCP63/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":"2026-05-30T05:19:46Z","links":{"resolver":"https://pith.science/pith/GAI536EVL6TIL2BTQABWNMCP63","bundle":"https://pith.science/pith/GAI536EVL6TIL2BTQABWNMCP63/bundle.json","state":"https://pith.science/pith/GAI536EVL6TIL2BTQABWNMCP63/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GAI536EVL6TIL2BTQABWNMCP63/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GAI536EVL6TIL2BTQABWNMCP63","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":"18893305ab5fcc5ce49fa7fc03d85926fb5aebaffe5dc82e11fbec2eb0b4d188","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-06-24T09:36:52Z","title_canon_sha256":"fb52fd26629e5a3609db35e13b85f0a6bb82dff23ecd1c5ee11c0020a06186f4"},"schema_version":"1.0","source":{"id":"1906.09811","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09811","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09811v1","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09811","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"pith_short_12","alias_value":"GAI536EVL6TI","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GAI536EVL6TIL2BT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GAI536EV","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:cc490317c05720d89a022c0c4e29e3e8f6bc474b0dcf36e6b777eb9ba2566b6a","target":"graph","created_at":"2026-05-17T23:42:36Z","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":"A novel method for performing error control coding in Symmetric $\\alpha-$Stable noise environments without any prior knowledge about the value of $\\alpha$ is introduced. We use an online learning framework which employs multiple distributions to decode the received block and then combines these results based on the past performance of each individual distributions. The proposed method is also able to handle a mixture of Symmetric $\\alpha-$Stable distributed noises. Performance results in turbo coded system highlight the utility of the work.","authors_text":"Sheetal Kalyani, Vishnu Raj","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-06-24T09:36:52Z","title":"Blind decoding in $\\alpha$-Stable noise: An online learning approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09811","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":"sha256:14091ad428d9533a5ffe695df73fb8e9858461b093779aec93958bf0478cc033","target":"record","created_at":"2026-05-17T23:42:36Z","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":"18893305ab5fcc5ce49fa7fc03d85926fb5aebaffe5dc82e11fbec2eb0b4d188","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-06-24T09:36:52Z","title_canon_sha256":"fb52fd26629e5a3609db35e13b85f0a6bb82dff23ecd1c5ee11c0020a06186f4"},"schema_version":"1.0","source":{"id":"1906.09811","kind":"arxiv","version":1}},"canonical_sha256":"3011ddf8955fa685e833800366b04ff6fe5ac03ecc51a223b68d10d4026564e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3011ddf8955fa685e833800366b04ff6fe5ac03ecc51a223b68d10d4026564e5","first_computed_at":"2026-05-17T23:42:36.607265Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:36.607265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cExND10QEa26VYy5Tee1ZLbuV8RiKg0y9McVjqKrjwCQoHDFOD/8phqRqlvN86BNQ7eHCsbar12uB9dDDxZnCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:36.608195Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09811","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14091ad428d9533a5ffe695df73fb8e9858461b093779aec93958bf0478cc033","sha256:cc490317c05720d89a022c0c4e29e3e8f6bc474b0dcf36e6b777eb9ba2566b6a"],"state_sha256":"de25878eeef2f5d1c5378cad6de317d8b1b25e0201d4acaaa57c36cab1b49836"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a7DN3WkiLMFvc4/N1mZMyKha/ncN6yE5s5p/7fhKzRjCUlO3kRT121mpZaWfSacOYd5X4U2NzyPx5P4SNRQODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T05:19:46.807128Z","bundle_sha256":"4061a93f795151be2acbdf15b4f62e6d1eb0224aab952bff7e407a37d96ec000"}}