{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7KEXZSYSR2ANIS34COFQALJEZV","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":"1cd96cb9360c02a57fc512efaf8b5ea644115ba442f0c217f84763c493554fab","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T22:43:36Z","title_canon_sha256":"23085fd0f753b7492899f20405c4c73109bece1101fcf892a4e97df20b462f86"},"schema_version":"1.0","source":{"id":"2506.20040","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.20040","created_at":"2026-06-11T01:09:14Z"},{"alias_kind":"arxiv_version","alias_value":"2506.20040v3","created_at":"2026-06-11T01:09:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.20040","created_at":"2026-06-11T01:09:14Z"},{"alias_kind":"pith_short_12","alias_value":"7KEXZSYSR2AN","created_at":"2026-06-11T01:09:14Z"},{"alias_kind":"pith_short_16","alias_value":"7KEXZSYSR2ANIS34","created_at":"2026-06-11T01:09:14Z"},{"alias_kind":"pith_short_8","alias_value":"7KEXZSYS","created_at":"2026-06-11T01:09:14Z"}],"graph_snapshots":[{"event_id":"sha256:01008418a7cac5e14e0531a5578159ce74712926ba730d14fb487e89fbd2e81a","target":"graph","created_at":"2026-06-11T01:09:14Z","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/2506.20040/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interpreting language models remains challenging due to the existence of residual stream, which linearly mixes and duplicates features across adjacent layers, causing single-layer analyses to miss this cross-layer structure. Cross-layer sparse autoencoders (SAEs) address layer mixing but operate in continuous space, where concepts split across many neurons without clear boundaries. We introduce Cross-Layer Vector Quantized-Variational Autoencoder (CLVQ-VAE), a novel framework which maps representations from a lower layer to a higher layer through a discrete vector-quantization bottleneck, coll","authors_text":"Ankur Garg, Hassan Sajjad, Samira Ebrahimi Kahou, Xuemin Yu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T22:43:36Z","title":"Cross-Layer Discrete Concept Discovery for Interpreting Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.20040","kind":"arxiv","version":3},"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:b2783a56d6f97c44019b2fd034e79f1c05954f46d3186411ef57cc5bc28a8dad","target":"record","created_at":"2026-06-11T01:09:14Z","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":"1cd96cb9360c02a57fc512efaf8b5ea644115ba442f0c217f84763c493554fab","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T22:43:36Z","title_canon_sha256":"23085fd0f753b7492899f20405c4c73109bece1101fcf892a4e97df20b462f86"},"schema_version":"1.0","source":{"id":"2506.20040","kind":"arxiv","version":3}},"canonical_sha256":"fa897ccb128e80d44b7c138b002d24cd6c0ac555f03baf08b96b10fcb2417588","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa897ccb128e80d44b7c138b002d24cd6c0ac555f03baf08b96b10fcb2417588","first_computed_at":"2026-06-11T01:09:14.644677Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:09:14.644677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A9Xw7ls+d8vJfQU4E38pBy7BGxFRfweujR3wzZV7VD2XKf2iYJ7Xrc1vMtGL4blM7Q1/I9l6akPeMCQ6PIGEDw==","signature_status":"signed_v1","signed_at":"2026-06-11T01:09:14.645551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.20040","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2783a56d6f97c44019b2fd034e79f1c05954f46d3186411ef57cc5bc28a8dad","sha256:01008418a7cac5e14e0531a5578159ce74712926ba730d14fb487e89fbd2e81a"],"state_sha256":"d7398d9ca8737963f252690951104f60cd8e595dd6406db4e62283daebb18555"}