{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HWL2M7GKIU5YAB2YEDCSFWKEJ6","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":"6a3399e5b534fd6dd821d739a2729404e83b124a8995b49f7a53b94db1d0afa2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-20T15:29:00Z","title_canon_sha256":"22139db8840154972db9ff9a02ca70f968b2b3b766bb2d2e046331bbea0dbdaa"},"schema_version":"1.0","source":{"id":"2508.14783","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.14783","created_at":"2026-07-05T11:56:38Z"},{"alias_kind":"arxiv_version","alias_value":"2508.14783v1","created_at":"2026-07-05T11:56:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.14783","created_at":"2026-07-05T11:56:38Z"},{"alias_kind":"pith_short_12","alias_value":"HWL2M7GKIU5Y","created_at":"2026-07-05T11:56:38Z"},{"alias_kind":"pith_short_16","alias_value":"HWL2M7GKIU5YAB2Y","created_at":"2026-07-05T11:56:38Z"},{"alias_kind":"pith_short_8","alias_value":"HWL2M7GK","created_at":"2026-07-05T11:56:38Z"}],"graph_snapshots":[{"event_id":"sha256:9fd637c6d3c04fb30ca27773d7159189786cefb6f1113d6398a66ab6f3aaaa29","target":"graph","created_at":"2026-07-05T11:56:38Z","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/2508.14783/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model distillation enables the transfer of knowledge from large-scale models to compact student models, facilitating deployment in resource-constrained environments. However, conventional distillation approaches often suffer from computational overhead and limited generalization. We propose a novel adaptive distillation framework that dynamically augments training data in regions of high student model loss. Using UMAP-based dimensionality reduction and nearest neighbor sampling, our method identifies underperforming regions in the embedding space and generates targeted synthetic examples to gu","authors_text":"Mark V. Albert, Poli A. Nemkova, Suleyman Olcay Polat","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-20T15:29:00Z","title":"Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.14783","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":"sha256:44644175487d3d423a4f953e6f6276fefa84df4ed19fc769245860faee11bb74","target":"record","created_at":"2026-07-05T11:56:38Z","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":"6a3399e5b534fd6dd821d739a2729404e83b124a8995b49f7a53b94db1d0afa2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-20T15:29:00Z","title_canon_sha256":"22139db8840154972db9ff9a02ca70f968b2b3b766bb2d2e046331bbea0dbdaa"},"schema_version":"1.0","source":{"id":"2508.14783","kind":"arxiv","version":1}},"canonical_sha256":"3d97a67cca453b80075820c522d9444fb2bb3c9c6b971443da99ea787d7bd2ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d97a67cca453b80075820c522d9444fb2bb3c9c6b971443da99ea787d7bd2ab","first_computed_at":"2026-07-05T11:56:38.410541Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:56:38.410541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4JE8IpHYF0YwS0TR9JbWeEbr4dokozvIJvd87xmeKNKjeLWsW1BI71Awp2QfMAjTBFmUdW8OMeobm4LUo/m5BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:56:38.410925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.14783","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44644175487d3d423a4f953e6f6276fefa84df4ed19fc769245860faee11bb74","sha256:9fd637c6d3c04fb30ca27773d7159189786cefb6f1113d6398a66ab6f3aaaa29"],"state_sha256":"f0686a655589d9c2fa803382ccaa458a4bd8610f7fc97ca415facdcb327c26ba"}