{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P37EIKSRQEH2CQCPCYOPIVZL4M","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":"fb0fccd7831fc927d480949a8feea1fee8b0086d6c17772072bde77f233f7207","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-26T00:04:01Z","title_canon_sha256":"5004f9c776563776d2eba340281e935d70bcfce74876e40c39a489f92a12f133"},"schema_version":"1.0","source":{"id":"2508.18569","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.18569","created_at":"2026-07-05T11:59:26Z"},{"alias_kind":"arxiv_version","alias_value":"2508.18569v1","created_at":"2026-07-05T11:59:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.18569","created_at":"2026-07-05T11:59:26Z"},{"alias_kind":"pith_short_12","alias_value":"P37EIKSRQEH2","created_at":"2026-07-05T11:59:26Z"},{"alias_kind":"pith_short_16","alias_value":"P37EIKSRQEH2CQCP","created_at":"2026-07-05T11:59:26Z"},{"alias_kind":"pith_short_8","alias_value":"P37EIKSR","created_at":"2026-07-05T11:59:26Z"}],"graph_snapshots":[{"event_id":"sha256:abad6bfcb5e022a9a3481f125faff6da671dbc1127a1611a179e873691639fcd","target":"graph","created_at":"2026-07-05T11:59:26Z","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/2508.18569/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual metaphor generation is a challenging task that aims to generate an image given an input text metaphor. Inherently, it needs language understanding to bind a source concept with a target concept, in a way that preserves meaning while ensuring visual coherence. We propose a self-evaluating visual metaphor generation framework that focuses on metaphor alignment. Our self-evaluation approach combines existing metrics with our newly proposed metaphor decomposition score and a meaning alignment (MA) metric. Within this setup, we explore two novel approaches: a training-free pipeline that expl","authors_text":"Diptesh Kanojia, Fatemeh Nazarieh, Girish A. Koushik, Katherine Birch, Shenbin Qian","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-26T00:04:01Z","title":"The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.18569","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:f63fc4c40293a58252fb00c52dfe0bd00a84c673ac3e4b90cc0a65860ad9d999","target":"record","created_at":"2026-07-05T11:59:26Z","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":"fb0fccd7831fc927d480949a8feea1fee8b0086d6c17772072bde77f233f7207","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-26T00:04:01Z","title_canon_sha256":"5004f9c776563776d2eba340281e935d70bcfce74876e40c39a489f92a12f133"},"schema_version":"1.0","source":{"id":"2508.18569","kind":"arxiv","version":1}},"canonical_sha256":"7efe442a51810fa1404f161cf4572be3119e81e52730806bfafac86be17e3c43","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7efe442a51810fa1404f161cf4572be3119e81e52730806bfafac86be17e3c43","first_computed_at":"2026-07-05T11:59:26.872595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:26.872595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1/QvViVGu5hsKrP/eIJn6BkvPe46gyZv59ztf3mooH5g+mfEYXhSnUlTqiht55DisDVivIEeMrrOsXJberAbCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:26.873171Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.18569","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f63fc4c40293a58252fb00c52dfe0bd00a84c673ac3e4b90cc0a65860ad9d999","sha256:abad6bfcb5e022a9a3481f125faff6da671dbc1127a1611a179e873691639fcd"],"state_sha256":"d23f873f2f4d061ad9733087a43490a65300b7c84fd559b1cc8661dd49555840"}