{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:ICFGONNBIXSLSW523PHR3UOE53","short_pith_number":"pith:ICFGONNB","schema_version":"1.0","canonical_sha256":"408a6735a145e4b95bbadbcf1dd1c4eec47628b82c3669a4fedfbcfc111ffd54","source":{"kind":"arxiv","id":"1906.05066","version":1},"attestation_state":"computed","paper":{"title":"Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anthony Hunter, Nico Potyka, Sylwia Polberg","submitted_at":"2019-06-12T11:39:42Z","abstract_excerpt":"Probabilistic epistemic argumentation allows for reasoning about argumentation problems in a way that is well founded by probability theory. Epistemic states are represented by probability functions over possible worlds and can be adjusted to new beliefs using update operators. While the use of probability functions puts this approach on a solid foundational basis, it also causes computational challenges as the amount of data to process depends exponentially on the number of arguments. This leads to bottlenecks in applications such as modelling opponent's beliefs for persuasion dialogues. We s"},"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":"1906.05066","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-06-12T11:39:42Z","cross_cats_sorted":[],"title_canon_sha256":"2244dbf9ad33788607de17c54208bd4568a2dc9b620cfc9fdc1e4da1457010b1","abstract_canon_sha256":"d838fb7e179e716506c3ee29206b93f9ed3451ff6921c6027f182c19ae6eaf18"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:29.561274Z","signature_b64":"Fs1tyhkZwAyypejSjUQvElTIGAvZllF8ya+q9fzgBRkcpJ/+6370Fm2g0oupJQf/4/3qIYpN9nypl9q+g0+GBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"408a6735a145e4b95bbadbcf1dd1c4eec47628b82c3669a4fedfbcfc111ffd54","last_reissued_at":"2026-05-17T23:43:29.560705Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:29.560705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anthony Hunter, Nico Potyka, Sylwia Polberg","submitted_at":"2019-06-12T11:39:42Z","abstract_excerpt":"Probabilistic epistemic argumentation allows for reasoning about argumentation problems in a way that is well founded by probability theory. Epistemic states are represented by probability functions over possible worlds and can be adjusted to new beliefs using update operators. While the use of probability functions puts this approach on a solid foundational basis, it also causes computational challenges as the amount of data to process depends exponentially on the number of arguments. This leads to bottlenecks in applications such as modelling opponent's beliefs for persuasion dialogues. We s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05066","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1906.05066","created_at":"2026-05-17T23:43:29.560792+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.05066v1","created_at":"2026-05-17T23:43:29.560792+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05066","created_at":"2026-05-17T23:43:29.560792+00:00"},{"alias_kind":"pith_short_12","alias_value":"ICFGONNBIXSL","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"ICFGONNBIXSLSW52","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"ICFGONNB","created_at":"2026-05-18T12:33:18.533446+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/ICFGONNBIXSLSW523PHR3UOE53","json":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53.json","graph_json":"https://pith.science/api/pith-number/ICFGONNBIXSLSW523PHR3UOE53/graph.json","events_json":"https://pith.science/api/pith-number/ICFGONNBIXSLSW523PHR3UOE53/events.json","paper":"https://pith.science/paper/ICFGONNB"},"agent_actions":{"view_html":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53","download_json":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53.json","view_paper":"https://pith.science/paper/ICFGONNB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.05066&json=true","fetch_graph":"https://pith.science/api/pith-number/ICFGONNBIXSLSW523PHR3UOE53/graph.json","fetch_events":"https://pith.science/api/pith-number/ICFGONNBIXSLSW523PHR3UOE53/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53/action/storage_attestation","attest_author":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53/action/author_attestation","sign_citation":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53/action/citation_signature","submit_replication":"https://pith.science/pith/ICFGONNBIXSLSW523PHR3UOE53/action/replication_record"}},"created_at":"2026-05-17T23:43:29.560792+00:00","updated_at":"2026-05-17T23:43:29.560792+00:00"}