{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:EFW5RYG2GC2GUTQMB4237Y6TFR","short_pith_number":"pith:EFW5RYG2","schema_version":"1.0","canonical_sha256":"216dd8e0da30b46a4e0c0f35bfe3d32c459651a8384999ad4585dca1b9d059e4","source":{"kind":"arxiv","id":"2509.24730","version":1},"attestation_state":"computed","paper":{"title":"Diamonds in the rough: Transforming SPARCs of imagination into a game concept by leveraging medium sized LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Daniel Dyrda, Farhan Abid Ivan, Georg Groh, Julian Geheeb, Miriam Ansch\\\"utz","submitted_at":"2025-09-29T12:56:09Z","abstract_excerpt":"Recent research has demonstrated that large language models (LLMs) can support experts across various domains, including game design. In this study, we examine the utility of medium-sized LLMs, models that operate on consumer-grade hardware typically available in small studios or home environments. We began by identifying ten key aspects that contribute to a strong game concept and used ChatGPT to generate thirty sample game ideas. Three medium-sized LLMs, LLaMA 3.1, Qwen 2.5, and DeepSeek-R1, were then prompted to evaluate these ideas according to the previously identified aspects. A qualitat"},"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":"2509.24730","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-09-29T12:56:09Z","cross_cats_sorted":[],"title_canon_sha256":"b9f98d42ff9f4966decea926db6f7b8bd20b0f1073ebe3e14b3bc404fd39de52","abstract_canon_sha256":"f964901d616342cea8c75da5902a55dc9edf4ec471e83f16d684c55f352ca916"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:34.155623Z","signature_b64":"4FJo0CHA5Z50ZZHfY1+GlI7IHURZ86rrx2S/eU9z9MpB2v5grp1tAYEVKZ/IydblzfagskHfXf06bpDQr1QDCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"216dd8e0da30b46a4e0c0f35bfe3d32c459651a8384999ad4585dca1b9d059e4","last_reissued_at":"2026-05-20T00:05:34.154874Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:34.154874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Diamonds in the rough: Transforming SPARCs of imagination into a game concept by leveraging medium sized LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Daniel Dyrda, Farhan Abid Ivan, Georg Groh, Julian Geheeb, Miriam Ansch\\\"utz","submitted_at":"2025-09-29T12:56:09Z","abstract_excerpt":"Recent research has demonstrated that large language models (LLMs) can support experts across various domains, including game design. In this study, we examine the utility of medium-sized LLMs, models that operate on consumer-grade hardware typically available in small studios or home environments. We began by identifying ten key aspects that contribute to a strong game concept and used ChatGPT to generate thirty sample game ideas. Three medium-sized LLMs, LLaMA 3.1, Qwen 2.5, and DeepSeek-R1, were then prompted to evaluate these ideas according to the previously identified aspects. A qualitat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.24730","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/2509.24730/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":"2509.24730","created_at":"2026-05-20T00:05:34.154987+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.24730v1","created_at":"2026-05-20T00:05:34.154987+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.24730","created_at":"2026-05-20T00:05:34.154987+00:00"},{"alias_kind":"pith_short_12","alias_value":"EFW5RYG2GC2G","created_at":"2026-05-20T00:05:34.154987+00:00"},{"alias_kind":"pith_short_16","alias_value":"EFW5RYG2GC2GUTQM","created_at":"2026-05-20T00:05:34.154987+00:00"},{"alias_kind":"pith_short_8","alias_value":"EFW5RYG2","created_at":"2026-05-20T00:05:34.154987+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/EFW5RYG2GC2GUTQMB4237Y6TFR","json":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR.json","graph_json":"https://pith.science/api/pith-number/EFW5RYG2GC2GUTQMB4237Y6TFR/graph.json","events_json":"https://pith.science/api/pith-number/EFW5RYG2GC2GUTQMB4237Y6TFR/events.json","paper":"https://pith.science/paper/EFW5RYG2"},"agent_actions":{"view_html":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR","download_json":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR.json","view_paper":"https://pith.science/paper/EFW5RYG2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.24730&json=true","fetch_graph":"https://pith.science/api/pith-number/EFW5RYG2GC2GUTQMB4237Y6TFR/graph.json","fetch_events":"https://pith.science/api/pith-number/EFW5RYG2GC2GUTQMB4237Y6TFR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR/action/storage_attestation","attest_author":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR/action/author_attestation","sign_citation":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR/action/citation_signature","submit_replication":"https://pith.science/pith/EFW5RYG2GC2GUTQMB4237Y6TFR/action/replication_record"}},"created_at":"2026-05-20T00:05:34.154987+00:00","updated_at":"2026-05-20T00:05:34.154987+00:00"}