{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RNDHDAEM2BVK7ZY4LIEXPQBBAT","short_pith_number":"pith:RNDHDAEM","canonical_record":{"source":{"id":"2607.27054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T15:47:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2a86ffc6d91e361134e09c8d75415b893438a4c9483a22a0086955483661d036","abstract_canon_sha256":"0ccc23114266987734eb0c57f33faa0efbd0d7cb33715981c2ad7e443a3cb3a0"},"schema_version":"1.0"},"canonical_sha256":"8b4671808cd06aafe71c5a0977c02104c9f7c4866418def679607a6c081fb0ef","source":{"kind":"arxiv","id":"2607.27054","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27054","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27054v1","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27054","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"pith_short_12","alias_value":"RNDHDAEM2BVK","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"pith_short_16","alias_value":"RNDHDAEM2BVK7ZY4","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"pith_short_8","alias_value":"RNDHDAEM","created_at":"2026-07-30T01:23:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RNDHDAEM2BVK7ZY4LIEXPQBBAT","target":"record","payload":{"canonical_record":{"source":{"id":"2607.27054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T15:47:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2a86ffc6d91e361134e09c8d75415b893438a4c9483a22a0086955483661d036","abstract_canon_sha256":"0ccc23114266987734eb0c57f33faa0efbd0d7cb33715981c2ad7e443a3cb3a0"},"schema_version":"1.0"},"canonical_sha256":"8b4671808cd06aafe71c5a0977c02104c9f7c4866418def679607a6c081fb0ef","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b4671808cd06aafe71c5a0977c02104c9f7c4866418def679607a6c081fb0ef","last_reissued_at":"2026-07-30T01:23:27.215681Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:23:27.215681Z"},"source_kind":"arxiv","source_id":"2607.27054","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T01:23:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"otUowezXY+kxwRBQqZW0Xvaz806nCCuzf/6JY36wa728fJUYhpaCKskm8spckjdRI+pV0dyL9zoYHBVYbLSTCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:51:21.018796Z"},"content_sha256":"5edc33a12a6074667c72edb745492165c69cdb2ceec01dfa553e5838cbe384bb","schema_version":"1.0","event_id":"sha256:5edc33a12a6074667c72edb745492165c69cdb2ceec01dfa553e5838cbe384bb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RNDHDAEM2BVK7ZY4LIEXPQBBAT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoCaRS: Correlation Calibration-Based Redundancy Suppression for Heterogeneous Knowledge Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Baoying Ma, Chunling Chen, Fengming Yu, Haiwei Pan, Jian Guan, Kejia Zhang","submitted_at":"2026-07-29T15:47:11Z","abstract_excerpt":"Knowledge distillation (KD) enables a compact student model to learn from a powerful teacher and has become an effective paradigm for model compression. The emergence of diverse model architectures has extended KD from homogeneous to heterogeneous settings. However, differences in architectural inductive biases between the teacher and student models often result in substantial representation discrepancies, limiting the effectiveness of direct knowledge transfer. Recently, redundancy suppression has offered a new perspective on heterogeneous KD by preserving cross-architecture invariance and re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27054","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.27054/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T01:23:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sufooStCDIRu+pqD2wawnLKC6WIaV/ZEWuCSg/WwumkdLmNYDq4npQwuMkL5dX0q2IU1GcEHwpwpqjSXuWSpCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:51:21.019413Z"},"content_sha256":"4fee5c977439a233cb5201a466f708858eb806f13b5c294c03c45df1eee778a1","schema_version":"1.0","event_id":"sha256:4fee5c977439a233cb5201a466f708858eb806f13b5c294c03c45df1eee778a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RNDHDAEM2BVK7ZY4LIEXPQBBAT/bundle.json","state_url":"https://pith.science/pith/RNDHDAEM2BVK7ZY4LIEXPQBBAT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RNDHDAEM2BVK7ZY4LIEXPQBBAT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-12T22:51:21Z","links":{"resolver":"https://pith.science/pith/RNDHDAEM2BVK7ZY4LIEXPQBBAT","bundle":"https://pith.science/pith/RNDHDAEM2BVK7ZY4LIEXPQBBAT/bundle.json","state":"https://pith.science/pith/RNDHDAEM2BVK7ZY4LIEXPQBBAT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RNDHDAEM2BVK7ZY4LIEXPQBBAT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RNDHDAEM2BVK7ZY4LIEXPQBBAT","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":"0ccc23114266987734eb0c57f33faa0efbd0d7cb33715981c2ad7e443a3cb3a0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T15:47:11Z","title_canon_sha256":"2a86ffc6d91e361134e09c8d75415b893438a4c9483a22a0086955483661d036"},"schema_version":"1.0","source":{"id":"2607.27054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27054","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27054v1","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27054","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"pith_short_12","alias_value":"RNDHDAEM2BVK","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"pith_short_16","alias_value":"RNDHDAEM2BVK7ZY4","created_at":"2026-07-30T01:23:27Z"},{"alias_kind":"pith_short_8","alias_value":"RNDHDAEM","created_at":"2026-07-30T01:23:27Z"}],"graph_snapshots":[{"event_id":"sha256:4fee5c977439a233cb5201a466f708858eb806f13b5c294c03c45df1eee778a1","target":"graph","created_at":"2026-07-30T01:23:27Z","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/2607.27054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge distillation (KD) enables a compact student model to learn from a powerful teacher and has become an effective paradigm for model compression. The emergence of diverse model architectures has extended KD from homogeneous to heterogeneous settings. However, differences in architectural inductive biases between the teacher and student models often result in substantial representation discrepancies, limiting the effectiveness of direct knowledge transfer. Recently, redundancy suppression has offered a new perspective on heterogeneous KD by preserving cross-architecture invariance and re","authors_text":"Baoying Ma, Chunling Chen, Fengming Yu, Haiwei Pan, Jian Guan, Kejia Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T15:47:11Z","title":"CoCaRS: Correlation Calibration-Based Redundancy Suppression for Heterogeneous Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27054","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":"sha256:5edc33a12a6074667c72edb745492165c69cdb2ceec01dfa553e5838cbe384bb","target":"record","created_at":"2026-07-30T01:23:27Z","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":"0ccc23114266987734eb0c57f33faa0efbd0d7cb33715981c2ad7e443a3cb3a0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T15:47:11Z","title_canon_sha256":"2a86ffc6d91e361134e09c8d75415b893438a4c9483a22a0086955483661d036"},"schema_version":"1.0","source":{"id":"2607.27054","kind":"arxiv","version":1}},"canonical_sha256":"8b4671808cd06aafe71c5a0977c02104c9f7c4866418def679607a6c081fb0ef","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b4671808cd06aafe71c5a0977c02104c9f7c4866418def679607a6c081fb0ef","first_computed_at":"2026-07-30T01:23:27.215681Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:23:27.215681Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5edc33a12a6074667c72edb745492165c69cdb2ceec01dfa553e5838cbe384bb","sha256:4fee5c977439a233cb5201a466f708858eb806f13b5c294c03c45df1eee778a1"],"state_sha256":"e936386be28b3542940077448d1c4ab61d4a5aec00e65cabc28834317f387f52"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oBO/YIaDcujS6T4NsNFlcCcVUErn34gDv+GeKYqjwBhMzUSHyhI9xJhgWXI9kDdT9Ce2jZOlr6r/I1MaF9TJDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T22:51:21.023721Z","bundle_sha256":"d97721f5b4e687d4d458a814ff78f023abd94cbfe8207dee39da9bcc0bf54b31"}}