{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EFADKAODODILH5REA7DIPF6S7M","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":"aa9caa7e0256ca1047e82d0dc74c7707af669aea56b3ebb9c6597c9932459c02","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-05-28T15:05:53Z","title_canon_sha256":"21baa0308af37f97031702919ea4cdb52d193d7bc61b1da13eed4e01afcff47b"},"schema_version":"1.0","source":{"id":"2605.30054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30054","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30054v1","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30054","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_12","alias_value":"EFADKAODODIL","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_16","alias_value":"EFADKAODODILH5RE","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_8","alias_value":"EFADKAOD","created_at":"2026-05-29T02:06:08Z"}],"graph_snapshots":[{"event_id":"sha256:9e5a39749f6cc2ebec1d30f6653a5ce19e4ceae94c9f70d1ec2aff26aff1c2c6","target":"graph","created_at":"2026-05-29T02:06:08Z","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/2605.30054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly used to generate software artifacts across many software engineering (SE) tasks, yet ensuring the semantic validity of these artifacts remains a fundamental challenge. Existing constrained decoding techniques can enforce syntactic correctness and, in some cases, specific semantic rules, but lack a general representation that bridges LLM-generated text with the reasoning required for semantic validation in SE. In this paper, we propose projectional decoding, a novel conceptual framework that integrates domain semantics directly into the generation p","authors_text":"Aren A. Babikian, Boqi Chen, Jos\\'e Antonio Hern\\'andez L\\'opez","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-05-28T15:05:53Z","title":"Projectional Decoding: Towards Semantic-Aware LLM Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30054","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:bd775b99d5c239f92516f1b72830bf60fd75e3c831a7f3798a7afa467cf9269e","target":"record","created_at":"2026-05-29T02:06:08Z","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":"aa9caa7e0256ca1047e82d0dc74c7707af669aea56b3ebb9c6597c9932459c02","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-05-28T15:05:53Z","title_canon_sha256":"21baa0308af37f97031702919ea4cdb52d193d7bc61b1da13eed4e01afcff47b"},"schema_version":"1.0","source":{"id":"2605.30054","kind":"arxiv","version":1}},"canonical_sha256":"21403501c370d0b3f62407c68797d2fb39f6472ebb55e91e4d5f2830fb77cce2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21403501c370d0b3f62407c68797d2fb39f6472ebb55e91e4d5f2830fb77cce2","first_computed_at":"2026-05-29T02:06:08.653826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:06:08.653826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d4EnKCn6nFXH54h8zwLXNtCnI3NCpvovpEt6TqEXDGvGH9lhUsQwNoNNVS2VArMlYIYVBY9Pmlz/G71qghVcCA==","signature_status":"signed_v1","signed_at":"2026-05-29T02:06:08.654275Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd775b99d5c239f92516f1b72830bf60fd75e3c831a7f3798a7afa467cf9269e","sha256:9e5a39749f6cc2ebec1d30f6653a5ce19e4ceae94c9f70d1ec2aff26aff1c2c6"],"state_sha256":"2df29fb85fdb5840cf83325fe5b7fc9530994df1f8d8994969b783b46d367345"}