{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:N7DCQQGYRF74GPA42AIUF3CDC3","short_pith_number":"pith:N7DCQQGY","canonical_record":{"source":{"id":"1302.2856","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-02-12T16:44:13Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"7a2c4ae89f98a40af2f7944050d5f1c3a2badea70fc61153990615437b83f0c8","abstract_canon_sha256":"eaf5c4e3464200e3ec93e6ffe09358f747e5a9ce19f412b2900b8bec7aa5e91b"},"schema_version":"1.0"},"canonical_sha256":"6fc62840d8897fc33c1cd01142ec4316edc418ddfd2b7d6cb25112f748a76abe","source":{"kind":"arxiv","id":"1302.2856","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.2856","created_at":"2026-05-18T03:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"1302.2856v1","created_at":"2026-05-18T03:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.2856","created_at":"2026-05-18T03:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"N7DCQQGYRF74","created_at":"2026-05-18T12:27:52Z"},{"alias_kind":"pith_short_16","alias_value":"N7DCQQGYRF74GPA4","created_at":"2026-05-18T12:27:52Z"},{"alias_kind":"pith_short_8","alias_value":"N7DCQQGY","created_at":"2026-05-18T12:27:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:N7DCQQGYRF74GPA42AIUF3CDC3","target":"record","payload":{"canonical_record":{"source":{"id":"1302.2856","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-02-12T16:44:13Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"7a2c4ae89f98a40af2f7944050d5f1c3a2badea70fc61153990615437b83f0c8","abstract_canon_sha256":"eaf5c4e3464200e3ec93e6ffe09358f747e5a9ce19f412b2900b8bec7aa5e91b"},"schema_version":"1.0"},"canonical_sha256":"6fc62840d8897fc33c1cd01142ec4316edc418ddfd2b7d6cb25112f748a76abe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:33:50.570743Z","signature_b64":"ed4dXNvm6V1b5waYhY8DZO5CySUjHdku3dVkp/YH93D5V3G+lFV+skcMz1TL4u3L+TP0NvUqg1Ycb1tMvbAUAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6fc62840d8897fc33c1cd01142ec4316edc418ddfd2b7d6cb25112f748a76abe","last_reissued_at":"2026-05-18T03:33:50.570194Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:33:50.570194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1302.2856","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":"2026-05-18T03:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uYCL8beO0cD9huYbxZkhD/iUg1i6Rzg4vcu38JHvXyg9KlclT9+xg4VkRl8MpInOBkal1bSgzwXdfd0Zm3MSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:22:08.226104Z"},"content_sha256":"eaeedfb249ee8cd862f692fe0b282ee437a384bee1ea7fbd5ef8982a8a04dfe0","schema_version":"1.0","event_id":"sha256:eaeedfb249ee8cd862f692fe0b282ee437a384bee1ea7fbd5ef8982a8a04dfe0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:N7DCQQGYRF74GPA42AIUF3CDC3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Combining non-stationary prediction, optimization and mixing for data compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Christopher Mattern","submitted_at":"2013-02-12T16:44:13Z","abstract_excerpt":"In this paper an approach to modelling nonstationary binary sequences, i.e., predicting the probability of upcoming symbols, is presented. After studying the prediction model we evaluate its performance in two non-artificial test cases. First the model is compared to the Laplace and Krichevsky-Trofimov estimators. Secondly a statistical ensemble model for compressing Burrows-Wheeler-Transform output is worked out and evaluated. A systematic approach to the parameter optimization of an individual model and the ensemble model is stated."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.2856","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":"2026-05-18T03:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i8V2EtsIImK1+jRc0hK1RotsW1EH5k+3GolXmqBjV+6GKoxaReTetgk2YXE7GtuwFHRyJXdvMfMMQz++y9GeAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:22:08.226814Z"},"content_sha256":"730365cd8f235c6b5b9831921c3747c969280b78fd259034e18c9df03b5c2223","schema_version":"1.0","event_id":"sha256:730365cd8f235c6b5b9831921c3747c969280b78fd259034e18c9df03b5c2223"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N7DCQQGYRF74GPA42AIUF3CDC3/bundle.json","state_url":"https://pith.science/pith/N7DCQQGYRF74GPA42AIUF3CDC3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N7DCQQGYRF74GPA42AIUF3CDC3/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":"2026-05-26T14:22:08Z","links":{"resolver":"https://pith.science/pith/N7DCQQGYRF74GPA42AIUF3CDC3","bundle":"https://pith.science/pith/N7DCQQGYRF74GPA42AIUF3CDC3/bundle.json","state":"https://pith.science/pith/N7DCQQGYRF74GPA42AIUF3CDC3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N7DCQQGYRF74GPA42AIUF3CDC3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:N7DCQQGYRF74GPA42AIUF3CDC3","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":"eaf5c4e3464200e3ec93e6ffe09358f747e5a9ce19f412b2900b8bec7aa5e91b","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-02-12T16:44:13Z","title_canon_sha256":"7a2c4ae89f98a40af2f7944050d5f1c3a2badea70fc61153990615437b83f0c8"},"schema_version":"1.0","source":{"id":"1302.2856","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.2856","created_at":"2026-05-18T03:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"1302.2856v1","created_at":"2026-05-18T03:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.2856","created_at":"2026-05-18T03:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"N7DCQQGYRF74","created_at":"2026-05-18T12:27:52Z"},{"alias_kind":"pith_short_16","alias_value":"N7DCQQGYRF74GPA4","created_at":"2026-05-18T12:27:52Z"},{"alias_kind":"pith_short_8","alias_value":"N7DCQQGY","created_at":"2026-05-18T12:27:52Z"}],"graph_snapshots":[{"event_id":"sha256:730365cd8f235c6b5b9831921c3747c969280b78fd259034e18c9df03b5c2223","target":"graph","created_at":"2026-05-18T03:33:50Z","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 an approach to modelling nonstationary binary sequences, i.e., predicting the probability of upcoming symbols, is presented. After studying the prediction model we evaluate its performance in two non-artificial test cases. First the model is compared to the Laplace and Krichevsky-Trofimov estimators. Secondly a statistical ensemble model for compressing Burrows-Wheeler-Transform output is worked out and evaluated. A systematic approach to the parameter optimization of an individual model and the ensemble model is stated.","authors_text":"Christopher Mattern","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-02-12T16:44:13Z","title":"Combining non-stationary prediction, optimization and mixing for data compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.2856","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:eaeedfb249ee8cd862f692fe0b282ee437a384bee1ea7fbd5ef8982a8a04dfe0","target":"record","created_at":"2026-05-18T03:33:50Z","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":"eaf5c4e3464200e3ec93e6ffe09358f747e5a9ce19f412b2900b8bec7aa5e91b","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-02-12T16:44:13Z","title_canon_sha256":"7a2c4ae89f98a40af2f7944050d5f1c3a2badea70fc61153990615437b83f0c8"},"schema_version":"1.0","source":{"id":"1302.2856","kind":"arxiv","version":1}},"canonical_sha256":"6fc62840d8897fc33c1cd01142ec4316edc418ddfd2b7d6cb25112f748a76abe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fc62840d8897fc33c1cd01142ec4316edc418ddfd2b7d6cb25112f748a76abe","first_computed_at":"2026-05-18T03:33:50.570194Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:33:50.570194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ed4dXNvm6V1b5waYhY8DZO5CySUjHdku3dVkp/YH93D5V3G+lFV+skcMz1TL4u3L+TP0NvUqg1Ycb1tMvbAUAA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:33:50.570743Z","signed_message":"canonical_sha256_bytes"},"source_id":"1302.2856","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eaeedfb249ee8cd862f692fe0b282ee437a384bee1ea7fbd5ef8982a8a04dfe0","sha256:730365cd8f235c6b5b9831921c3747c969280b78fd259034e18c9df03b5c2223"],"state_sha256":"03b4f1ebb353bd69c391a15934152dd5aa5b98efd89f5f7782698710d59b57a7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9B+5TNZTPjCo23aelJTnsNVHqq7TPhFUx2MrYCloonaEZtrnfNbnLMngy6aW5zVpsCX0ciIOGDepV0qsli2sAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T14:22:08.230491Z","bundle_sha256":"0d4af341bb2dc681fab3cabb996ef22991aded070cd3d07007bfa2c681e44f24"}}