{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ENZGID2UCEDQOPA7SN4JEBWOAI","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":"86e56f20d43e748c3a2e176873e69b50a1753b133cc2a44bada1065e68ae17db","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T19:59:31Z","title_canon_sha256":"c7450be6df33919340bd10f424be398a43f342179b8ee91d4181999c68d16e96"},"schema_version":"1.0","source":{"id":"2605.21699","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21699","created_at":"2026-05-22T01:03:28Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21699v1","created_at":"2026-05-22T01:03:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21699","created_at":"2026-05-22T01:03:28Z"},{"alias_kind":"pith_short_12","alias_value":"ENZGID2UCEDQ","created_at":"2026-05-22T01:03:28Z"},{"alias_kind":"pith_short_16","alias_value":"ENZGID2UCEDQOPA7","created_at":"2026-05-22T01:03:28Z"},{"alias_kind":"pith_short_8","alias_value":"ENZGID2U","created_at":"2026-05-22T01:03:28Z"}],"graph_snapshots":[{"event_id":"sha256:ca46820f4330819c21291b3caf8daacac2d2b0038e4c1c8eb4e4a94e6f689e39","target":"graph","created_at":"2026-05-22T01:03:28Z","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/2605.21699/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-tokenizer knowledge distillation allows a student model to learn from teachers with incompatible vocabularies. Prior work operates on hidden states or logits; the latter is preferred as a drop-in replacement requiring no auxiliary components. Logit-based methods either use only the correct-token probability, missing the full 'dark knowledge' in the teacher's distribution, or operate on the full output distribution, relying on strict token partitioning and/or unprincipled heuristic ranking. We identify two key shortcomings of full-distribution, logit-based methods: (i) an uncommon-token f","authors_text":"Adithyakrishna Venkatesh Hanasoge, Ali Taghibakhshi, Ashwath Aithal, Mingyu Yang, Pavlo Molchanov, Saurav Muralidharan, Sharath Turuvekere Sreenivas","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T19:59:31Z","title":"X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21699","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":"sha256:0a7a6c1452da638b7f356fb63c6b9c49eed75289c2d85919ea4b4910af4843e2","target":"record","created_at":"2026-05-22T01:03:28Z","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":"86e56f20d43e748c3a2e176873e69b50a1753b133cc2a44bada1065e68ae17db","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T19:59:31Z","title_canon_sha256":"c7450be6df33919340bd10f424be398a43f342179b8ee91d4181999c68d16e96"},"schema_version":"1.0","source":{"id":"2605.21699","kind":"arxiv","version":1}},"canonical_sha256":"2372640f541107073c1f93789206ce022a0803355d3b4deb6831929a655e7d01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2372640f541107073c1f93789206ce022a0803355d3b4deb6831929a655e7d01","first_computed_at":"2026-05-22T01:03:28.580558Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:03:28.580558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lu3hNjOLdJ9m/6z/u/O3Jw8oegjAB5aNdM1rKoYOfogKxkxYXZypvYCeZYZ4SbxWOLwxi9hg9/+lFM40cCBQDg==","signature_status":"signed_v1","signed_at":"2026-05-22T01:03:28.581021Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.21699","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0a7a6c1452da638b7f356fb63c6b9c49eed75289c2d85919ea4b4910af4843e2","sha256:ca46820f4330819c21291b3caf8daacac2d2b0038e4c1c8eb4e4a94e6f689e39"],"state_sha256":"a5680efc682e6435617c75ab1b6b0fe83e21c657f15ccf86d9a0bf0855779c65"}