{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MW5Q4YRS7O3EHBM2M3HC3RFJLE","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":"96c86e927b3c0c46cc4762870e1645b5c160108251c269d7531d1435947f04a9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-20T14:04:53Z","title_canon_sha256":"faaba7b9bd3bd32882a5aa5983a5706898d322e42d5932fdab7e477dcdd8caa2"},"schema_version":"1.0","source":{"id":"2406.14335","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.14335","created_at":"2026-07-05T11:38:00Z"},{"alias_kind":"arxiv_version","alias_value":"2406.14335v2","created_at":"2026-07-05T11:38:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.14335","created_at":"2026-07-05T11:38:00Z"},{"alias_kind":"pith_short_12","alias_value":"MW5Q4YRS7O3E","created_at":"2026-07-05T11:38:00Z"},{"alias_kind":"pith_short_16","alias_value":"MW5Q4YRS7O3EHBM2","created_at":"2026-07-05T11:38:00Z"},{"alias_kind":"pith_short_8","alias_value":"MW5Q4YRS","created_at":"2026-07-05T11:38:00Z"}],"graph_snapshots":[{"event_id":"sha256:4b6f7c3aaf0f4d790426f6b431f39e302567e3961ccf24681dc0865c821067df","target":"graph","created_at":"2026-07-05T11:38:00Z","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/2406.14335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite their success, Large-Language Models (LLMs) still face criticism due to their lack of interpretability. Traditional post-hoc interpretation methods, based on attention and gradient-based analysis, offer limited insights as they only approximate the model's decision-making processes and have been proved to be unreliable. For this reason, Concept-Bottleneck Models (CBMs) have been lately proposed in the textual field to provide interpretable predictions based on human-understandable concepts. However, CBMs still exhibit several limitations due to their architectural constraints limiting ","authors_text":"Danilo Giordano, Francesco De Santis, Gabriele Ciravegna, Philippe Bich, Pietro Barbiero, Tania Cerquitelli","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-20T14:04:53Z","title":"Linearly-Interpretable Concept Embedding Models for Text Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.14335","kind":"arxiv","version":2},"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:d17f12fa88f5a0344bed17201f194dd96d6f59bad1263fe73d15fc9886eaf164","target":"record","created_at":"2026-07-05T11:38:00Z","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":"96c86e927b3c0c46cc4762870e1645b5c160108251c269d7531d1435947f04a9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-20T14:04:53Z","title_canon_sha256":"faaba7b9bd3bd32882a5aa5983a5706898d322e42d5932fdab7e477dcdd8caa2"},"schema_version":"1.0","source":{"id":"2406.14335","kind":"arxiv","version":2}},"canonical_sha256":"65bb0e6232fbb643859a66ce2dc4a9592981a0c29124f6ccd7826aa92b81edaf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"65bb0e6232fbb643859a66ce2dc4a9592981a0c29124f6ccd7826aa92b81edaf","first_computed_at":"2026-07-05T11:38:00.533007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:38:00.533007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c4oBxjj2Eon19NliTH2oZxoc78tii1VVSbh2yrvl6boVY1dAjYR60NjiTqW+THrkL7mOOwQzobC6xl0xxZu7DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:38:00.533856Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.14335","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d17f12fa88f5a0344bed17201f194dd96d6f59bad1263fe73d15fc9886eaf164","sha256:4b6f7c3aaf0f4d790426f6b431f39e302567e3961ccf24681dc0865c821067df"],"state_sha256":"f592b7de620c0289fe6fd201c949673913a11de0eca64b7c08507cd74b7f30ab"}