{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:VQWAOUCGQYSRX64C3FMEEDCYMN","short_pith_number":"pith:VQWAOUCG","schema_version":"1.0","canonical_sha256":"ac2c07504686251bfb82d958420c5863640c8fdbb6249a11ac5091c0e379fa11","source":{"kind":"arxiv","id":"1709.07346","version":2},"attestation_state":"computed","paper":{"title":"Extended-Alphabet Finite-Context Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Armando J. Pinho, Diogo Pratas, Jacqueline Ferreira, Jo\\~ao M. Carvalho, Sandra C. Soares, Susana Br\\'as","submitted_at":"2017-09-21T14:33:50Z","abstract_excerpt":"The Normalized Relative Compression (NRC) is a recent dissimilarity measure, related to the Kolmogorov Complexity. It has been successfully used in different applications, like DNA sequences, images or even ECG (electrocardiographic) signal. It uses a compressor that compresses a target string using exclusively the information contained in a reference string. One possible approach is to use finite-context models (FCMs) to represent the strings. A finite-context model calculates the probability distribution of the next symbol, given the previous $k$ symbols. In this paper, we introduce a genera"},"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":"1709.07346","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-09-21T14:33:50Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"7d7b82384a43ce310b7f3af19a0d9d5afd359e706bf7db3bdf5096e5088c5da1","abstract_canon_sha256":"48f8df59df7c9e425b97af7f61b788fff1b8861f0ae1e9a8f4e2dedd9dd8c302"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:28.734309Z","signature_b64":"0NHcfLwIYz0N8NpCA2IajMZqOUCbs7qaX3Hd6Yq3UuP4ESxALVN6na+Nw0WMoBJ1VdAL7ptmq4Tef+e+qpovBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac2c07504686251bfb82d958420c5863640c8fdbb6249a11ac5091c0e379fa11","last_reissued_at":"2026-05-18T00:14:28.733463Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:28.733463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Extended-Alphabet Finite-Context Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Armando J. Pinho, Diogo Pratas, Jacqueline Ferreira, Jo\\~ao M. Carvalho, Sandra C. Soares, Susana Br\\'as","submitted_at":"2017-09-21T14:33:50Z","abstract_excerpt":"The Normalized Relative Compression (NRC) is a recent dissimilarity measure, related to the Kolmogorov Complexity. It has been successfully used in different applications, like DNA sequences, images or even ECG (electrocardiographic) signal. It uses a compressor that compresses a target string using exclusively the information contained in a reference string. One possible approach is to use finite-context models (FCMs) to represent the strings. A finite-context model calculates the probability distribution of the next symbol, given the previous $k$ symbols. In this paper, we introduce a genera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.07346","kind":"arxiv","version":2},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1709.07346","created_at":"2026-05-18T00:14:28.733595+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.07346v2","created_at":"2026-05-18T00:14:28.733595+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.07346","created_at":"2026-05-18T00:14:28.733595+00:00"},{"alias_kind":"pith_short_12","alias_value":"VQWAOUCGQYSR","created_at":"2026-05-18T12:31:49.984773+00:00"},{"alias_kind":"pith_short_16","alias_value":"VQWAOUCGQYSRX64C","created_at":"2026-05-18T12:31:49.984773+00:00"},{"alias_kind":"pith_short_8","alias_value":"VQWAOUCG","created_at":"2026-05-18T12:31:49.984773+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN","json":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN.json","graph_json":"https://pith.science/api/pith-number/VQWAOUCGQYSRX64C3FMEEDCYMN/graph.json","events_json":"https://pith.science/api/pith-number/VQWAOUCGQYSRX64C3FMEEDCYMN/events.json","paper":"https://pith.science/paper/VQWAOUCG"},"agent_actions":{"view_html":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN","download_json":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN.json","view_paper":"https://pith.science/paper/VQWAOUCG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.07346&json=true","fetch_graph":"https://pith.science/api/pith-number/VQWAOUCGQYSRX64C3FMEEDCYMN/graph.json","fetch_events":"https://pith.science/api/pith-number/VQWAOUCGQYSRX64C3FMEEDCYMN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN/action/storage_attestation","attest_author":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN/action/author_attestation","sign_citation":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN/action/citation_signature","submit_replication":"https://pith.science/pith/VQWAOUCGQYSRX64C3FMEEDCYMN/action/replication_record"}},"created_at":"2026-05-18T00:14:28.733595+00:00","updated_at":"2026-05-18T00:14:28.733595+00:00"}