{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:H3GA7HCQZ76NPS6NVJX3N2UB4S","short_pith_number":"pith:H3GA7HCQ","schema_version":"1.0","canonical_sha256":"3ecc0f9c50cffcd7cbcdaa6fb6ea81e4a728985e4e3032e7c684499652f66a97","source":{"kind":"arxiv","id":"2606.11692","version":1},"attestation_state":"computed","paper":{"title":"Evaluation of Alternative-Based Information Systems for Deliberative Polling using an Agentic Simulator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.SI"],"primary_cat":"cs.CY","authors_text":"Badria Alfurhood, Balaji Kasula, Khulud Alawaji, Marius Silaghi, Markus Zanker, Muntaser Syed, Rwaida Alssadi","submitted_at":"2026-06-10T06:15:13Z","abstract_excerpt":"Deliberative polling promises to improve collective decision-making by exposing shareholders to a broad range of arguments before they vote. Yet ensuring that every voter encounters a representative sample of the reason space, the coverage problem, remains an open challenge, particularly at scale and in adversarial or strategically motivated electorates. This paper introduces a way of evaluating solutions using the LLM-based Agentic Bipolar Argumentation Simulator, grounded in a framework which formalises a poll as a six-tuple <Jend, Jopp, Ratt, Renh, VA, VR> of endorsing and opposing justific"},"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":"2606.11692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2026-06-10T06:15:13Z","cross_cats_sorted":["cs.MA","cs.SI"],"title_canon_sha256":"6190dc9a32afff0591c397ad4de57a732004329f108f45c146a6ef1c0561be3b","abstract_canon_sha256":"3fe75d5aa890677189edc232283d8f553c2540723c941de6357e29f8cdcbb11f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:03.072089Z","signature_b64":"fUFplrdrx+QVRCC6BUdvTJ88/svzaeD/PKzmG2/EWqoI1mdqD1JT5MU92dcuMWaqldPr68NJbZVdQCFrX0JQCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ecc0f9c50cffcd7cbcdaa6fb6ea81e4a728985e4e3032e7c684499652f66a97","last_reissued_at":"2026-06-11T01:10:03.071309Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:03.071309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluation of Alternative-Based Information Systems for Deliberative Polling using an Agentic Simulator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.SI"],"primary_cat":"cs.CY","authors_text":"Badria Alfurhood, Balaji Kasula, Khulud Alawaji, Marius Silaghi, Markus Zanker, Muntaser Syed, Rwaida Alssadi","submitted_at":"2026-06-10T06:15:13Z","abstract_excerpt":"Deliberative polling promises to improve collective decision-making by exposing shareholders to a broad range of arguments before they vote. Yet ensuring that every voter encounters a representative sample of the reason space, the coverage problem, remains an open challenge, particularly at scale and in adversarial or strategically motivated electorates. This paper introduces a way of evaluating solutions using the LLM-based Agentic Bipolar Argumentation Simulator, grounded in a framework which formalises a poll as a six-tuple <Jend, Jopp, Ratt, Renh, VA, VR> of endorsing and opposing justific"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11692","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.11692/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2606.11692","created_at":"2026-06-11T01:10:03.071447+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.11692v1","created_at":"2026-06-11T01:10:03.071447+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11692","created_at":"2026-06-11T01:10:03.071447+00:00"},{"alias_kind":"pith_short_12","alias_value":"H3GA7HCQZ76N","created_at":"2026-06-11T01:10:03.071447+00:00"},{"alias_kind":"pith_short_16","alias_value":"H3GA7HCQZ76NPS6N","created_at":"2026-06-11T01:10:03.071447+00:00"},{"alias_kind":"pith_short_8","alias_value":"H3GA7HCQ","created_at":"2026-06-11T01:10:03.071447+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/H3GA7HCQZ76NPS6NVJX3N2UB4S","json":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S.json","graph_json":"https://pith.science/api/pith-number/H3GA7HCQZ76NPS6NVJX3N2UB4S/graph.json","events_json":"https://pith.science/api/pith-number/H3GA7HCQZ76NPS6NVJX3N2UB4S/events.json","paper":"https://pith.science/paper/H3GA7HCQ"},"agent_actions":{"view_html":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S","download_json":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S.json","view_paper":"https://pith.science/paper/H3GA7HCQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.11692&json=true","fetch_graph":"https://pith.science/api/pith-number/H3GA7HCQZ76NPS6NVJX3N2UB4S/graph.json","fetch_events":"https://pith.science/api/pith-number/H3GA7HCQZ76NPS6NVJX3N2UB4S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S/action/storage_attestation","attest_author":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S/action/author_attestation","sign_citation":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S/action/citation_signature","submit_replication":"https://pith.science/pith/H3GA7HCQZ76NPS6NVJX3N2UB4S/action/replication_record"}},"created_at":"2026-06-11T01:10:03.071447+00:00","updated_at":"2026-06-11T01:10:03.071447+00:00"}