{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KODBMWVJP3GR6RGA7YLLPD2ATB","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":"cf23cf33a9702033c91960157e43466d67301d4278dcf4b4712fa22b621089a7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-24T05:35:47Z","title_canon_sha256":"dd2d99c4787505384055a1926dbefacac22dcad5ff1d41d36335513a488b5cda"},"schema_version":"1.0","source":{"id":"2504.17261","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.17261","created_at":"2026-07-05T10:53:25Z"},{"alias_kind":"arxiv_version","alias_value":"2504.17261v1","created_at":"2026-07-05T10:53:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.17261","created_at":"2026-07-05T10:53:25Z"},{"alias_kind":"pith_short_12","alias_value":"KODBMWVJP3GR","created_at":"2026-07-05T10:53:25Z"},{"alias_kind":"pith_short_16","alias_value":"KODBMWVJP3GR6RGA","created_at":"2026-07-05T10:53:25Z"},{"alias_kind":"pith_short_8","alias_value":"KODBMWVJ","created_at":"2026-07-05T10:53:25Z"}],"graph_snapshots":[{"event_id":"sha256:68a030bdeb9b7ef849b047c34e2af9520ba6532781c27f60b9039b39e43d3af0","target":"graph","created_at":"2026-07-05T10:53:25Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2504.17261/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a symbolic generative task description language and a corresponding inference engine capable of representing arbitrary multimodal tasks as structured symbolic flows. Unlike conventional generative models that rely on large-scale training and implicit neural representations to learn cross-modal mappings, often at high computational cost and with limited flexibility, our framework introduces an explicit symbolic representation comprising three core primitives: functions, parameters, and topological logic. Leveraging a pre-trained language model, our inference engine maps natural langu","authors_text":"Chak Tou Leong, Jiaqi Chen, Joseph Liu, Julian McAuley, Li-Jia Li, Tianyang Liu, Xiaoye Zhu, Xinhui Chen, Yifei Ke, Ying Chen, Yiwen Yuan, Yue Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-24T05:35:47Z","title":"Symbolic Representation for Any-to-Any Generative Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.17261","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:a917b71ecbc5c45665d487552d70442e69a20791b35ea12c420f310d23985a9f","target":"record","created_at":"2026-07-05T10:53:25Z","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":"cf23cf33a9702033c91960157e43466d67301d4278dcf4b4712fa22b621089a7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-24T05:35:47Z","title_canon_sha256":"dd2d99c4787505384055a1926dbefacac22dcad5ff1d41d36335513a488b5cda"},"schema_version":"1.0","source":{"id":"2504.17261","kind":"arxiv","version":1}},"canonical_sha256":"5386165aa97ecd1f44c0fe16b78f4098668f08b3e18e0a0d87e96e096ba22919","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5386165aa97ecd1f44c0fe16b78f4098668f08b3e18e0a0d87e96e096ba22919","first_computed_at":"2026-07-05T10:53:25.428558Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:25.428558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k/NCAS1o2cgKyW7hrS3R9J+YYZ7Z+JgKtW5D2bN7HPWDw+ZdPgo2YMkX5nZ9TuTcfSXSIqGP/M6Ib4ao268bCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:25.429090Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.17261","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a917b71ecbc5c45665d487552d70442e69a20791b35ea12c420f310d23985a9f","sha256:68a030bdeb9b7ef849b047c34e2af9520ba6532781c27f60b9039b39e43d3af0"],"state_sha256":"efed6626382b6bd3c00215649906403de4a51e5f346fc5f43ae275f1d9a66f03"}