{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:Y3B5GQDPTUO73I6I7KADHF5YJ2","short_pith_number":"pith:Y3B5GQDP","canonical_record":{"source":{"id":"2605.19218","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T00:45:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3101ff104d698e9ba521a9468c6e8dfbdd93a007eff48cff30dac2ed4e5567b8","abstract_canon_sha256":"8bae728b7e00286168a436e39e3b5eb7980bcbaa4cf9c99fe7fb09303e54e53c"},"schema_version":"1.0"},"canonical_sha256":"c6c3d3406f9d1dfda3c8fa803397b84eaefd7c3e2afcb5e467e7047d4ded6558","source":{"kind":"arxiv","id":"2605.19218","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19218","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19218v1","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19218","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"Y3B5GQDPTUO7","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"Y3B5GQDPTUO73I6I","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"Y3B5GQDP","created_at":"2026-05-20T01:05:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:Y3B5GQDPTUO73I6I7KADHF5YJ2","target":"record","payload":{"canonical_record":{"source":{"id":"2605.19218","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T00:45:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3101ff104d698e9ba521a9468c6e8dfbdd93a007eff48cff30dac2ed4e5567b8","abstract_canon_sha256":"8bae728b7e00286168a436e39e3b5eb7980bcbaa4cf9c99fe7fb09303e54e53c"},"schema_version":"1.0"},"canonical_sha256":"c6c3d3406f9d1dfda3c8fa803397b84eaefd7c3e2afcb5e467e7047d4ded6558","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:05:34.045271Z","signature_b64":"9KRvQugTZfkfk4e67Wl8hB90Kc8tmnmyaMIZlXWkI7m8U5fYySY3TxoO6fvQKLi+xHyL+zr5C58H/KEmZFYXAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6c3d3406f9d1dfda3c8fa803397b84eaefd7c3e2afcb5e467e7047d4ded6558","last_reissued_at":"2026-05-20T01:05:34.044651Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:05:34.044651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.19218","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":"2026-05-20T01:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IG0MDhboISVMEBU/rJreep6A112u7LwKMepGtQ7H4w1mz6JBn/p6Y/0k2fvCknathhGnpNUIO+1eaw8+o1ARAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T22:19:48.146046Z"},"content_sha256":"915e6ee75389aef51914fe0160d22943ce378f71b674283dc63a219ae5243f8c","schema_version":"1.0","event_id":"sha256:915e6ee75389aef51914fe0160d22943ce378f71b674283dc63a219ae5243f8c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:Y3B5GQDPTUO73I6I7KADHF5YJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Beomseok Kang, Donghwee Son, Dongwon Jo, Jae-Joon Kim, Jiwon Song","submitted_at":"2026-05-19T00:45:00Z","abstract_excerpt":"Vision-Language Models suffer severe KV cache pressure at inference, as a single image often encodes into thousands of tokens. Most existing methods exploit token sparsity through token pruning, but permanently discarding visual content causes substantial degradation on fine-grained perception tasks. This motivates a complementary axis, feature sparsity: under a fixed KV cache budget, compressing the channel dimension preserves more visual tokens at the same memory cost. Prior Key channel pruning methods, however, face a structural trade-off: token-wise channel pruning is expressive but unstru"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19218","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/2605.19218/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":"2026-05-20T01:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d7vWGc9tlX+PZexwbRqBtkGrYjEWCJ+GN/dXKU7PArm/t074Eb5rMdYQ/UDlotLkHsYuKqwpVB+nqMStUpsPBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T22:19:48.146791Z"},"content_sha256":"7fb3686ef97c72d83a6dad3dfdf3a3d63e503be22afddf1e90bb65820336c45e","schema_version":"1.0","event_id":"sha256:7fb3686ef97c72d83a6dad3dfdf3a3d63e503be22afddf1e90bb65820336c45e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y3B5GQDPTUO73I6I7KADHF5YJ2/bundle.json","state_url":"https://pith.science/pith/Y3B5GQDPTUO73I6I7KADHF5YJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y3B5GQDPTUO73I6I7KADHF5YJ2/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":"2026-05-26T22:19:48Z","links":{"resolver":"https://pith.science/pith/Y3B5GQDPTUO73I6I7KADHF5YJ2","bundle":"https://pith.science/pith/Y3B5GQDPTUO73I6I7KADHF5YJ2/bundle.json","state":"https://pith.science/pith/Y3B5GQDPTUO73I6I7KADHF5YJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y3B5GQDPTUO73I6I7KADHF5YJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Y3B5GQDPTUO73I6I7KADHF5YJ2","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":"8bae728b7e00286168a436e39e3b5eb7980bcbaa4cf9c99fe7fb09303e54e53c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T00:45:00Z","title_canon_sha256":"3101ff104d698e9ba521a9468c6e8dfbdd93a007eff48cff30dac2ed4e5567b8"},"schema_version":"1.0","source":{"id":"2605.19218","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19218","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19218v1","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19218","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"Y3B5GQDPTUO7","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"Y3B5GQDPTUO73I6I","created_at":"2026-05-20T01:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"Y3B5GQDP","created_at":"2026-05-20T01:05:34Z"}],"graph_snapshots":[{"event_id":"sha256:7fb3686ef97c72d83a6dad3dfdf3a3d63e503be22afddf1e90bb65820336c45e","target":"graph","created_at":"2026-05-20T01:05:34Z","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/2605.19218/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language Models suffer severe KV cache pressure at inference, as a single image often encodes into thousands of tokens. Most existing methods exploit token sparsity through token pruning, but permanently discarding visual content causes substantial degradation on fine-grained perception tasks. This motivates a complementary axis, feature sparsity: under a fixed KV cache budget, compressing the channel dimension preserves more visual tokens at the same memory cost. Prior Key channel pruning methods, however, face a structural trade-off: token-wise channel pruning is expressive but unstru","authors_text":"Beomseok Kang, Donghwee Son, Dongwon Jo, Jae-Joon Kim, Jiwon Song","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T00:45:00Z","title":"Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19218","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":"sha256:915e6ee75389aef51914fe0160d22943ce378f71b674283dc63a219ae5243f8c","target":"record","created_at":"2026-05-20T01:05:34Z","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":"8bae728b7e00286168a436e39e3b5eb7980bcbaa4cf9c99fe7fb09303e54e53c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T00:45:00Z","title_canon_sha256":"3101ff104d698e9ba521a9468c6e8dfbdd93a007eff48cff30dac2ed4e5567b8"},"schema_version":"1.0","source":{"id":"2605.19218","kind":"arxiv","version":1}},"canonical_sha256":"c6c3d3406f9d1dfda3c8fa803397b84eaefd7c3e2afcb5e467e7047d4ded6558","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6c3d3406f9d1dfda3c8fa803397b84eaefd7c3e2afcb5e467e7047d4ded6558","first_computed_at":"2026-05-20T01:05:34.044651Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:34.044651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9KRvQugTZfkfk4e67Wl8hB90Kc8tmnmyaMIZlXWkI7m8U5fYySY3TxoO6fvQKLi+xHyL+zr5C58H/KEmZFYXAw==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:34.045271Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.19218","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:915e6ee75389aef51914fe0160d22943ce378f71b674283dc63a219ae5243f8c","sha256:7fb3686ef97c72d83a6dad3dfdf3a3d63e503be22afddf1e90bb65820336c45e"],"state_sha256":"04cd281c1abc53fd5f7d4ff724fc5e4d05c755408ffe0f2b2ad8d415a50d4f1f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y7sSf209MFk3CuUoBTtiAwOgbk5ne31XI7pp27zFypdRvbc0XPLhrEJYjvebrCaHZdHDuITvK177rbjcQh/XDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T22:19:48.150712Z","bundle_sha256":"8b988f616276fc0155989e8a8fae7fb53b21b4ec6c9ec3c851b9145c0c8a0236"}}