{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OQZUVMBWKUWCNEY2SH7PBVWQJV","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":"6154e3dbc593be2bc5a7ac03a5c70c2e1b64fe7dc0a98e528653966e88147c2d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-25T17:16:34Z","title_canon_sha256":"42411a48c9d5450b5ce2372e50f251f12ce1147d01ee4889ae2e97e8eaa1e1bc"},"schema_version":"1.0","source":{"id":"2505.19235","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19235","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19235v1","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19235","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"OQZUVMBWKUWC","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"OQZUVMBWKUWCNEY2","created_at":"2026-07-05T11:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"OQZUVMBW","created_at":"2026-07-05T11:09:26Z"}],"graph_snapshots":[{"event_id":"sha256:f16b27013bddc34c0a70c49830c7ab18adf54fe76c04566c665603683b453bde","target":"graph","created_at":"2026-07-05T11:09:26Z","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/2505.19235/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language Models (VLMs) excel across diverse tasks but suffer from high inference costs in time and memory. Token sparsity mitigates inefficiencies in token usage, while neuron sparsity reduces high-dimensional computations, both offering promising solutions to enhance efficiency. Recently, these two sparsity paradigms have evolved largely in parallel, fostering the prevailing assumption that they function independently. However, a fundamental yet underexplored question remains: Do they truly operate in isolation, or is there a deeper underlying interplay that has yet to be uncovered? In","authors_text":"Hancheng Ye, Jianyi Zhang, Martin Kuo, Mingyuan Ma, Ming-Yu Chung, Qinsi Wang, Yiran Chen, Yudong Liu, Yueqian Lin","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-25T17:16:34Z","title":"CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19235","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":"sha256:2af22695637f34375f85731407d4642dcb8f88fde20cc155e371e18b620ac669","target":"record","created_at":"2026-07-05T11:09:26Z","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":"6154e3dbc593be2bc5a7ac03a5c70c2e1b64fe7dc0a98e528653966e88147c2d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-25T17:16:34Z","title_canon_sha256":"42411a48c9d5450b5ce2372e50f251f12ce1147d01ee4889ae2e97e8eaa1e1bc"},"schema_version":"1.0","source":{"id":"2505.19235","kind":"arxiv","version":1}},"canonical_sha256":"74334ab036552c26931a91fef0d6d04d451fb556433ceab9f272d374ab9a7410","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74334ab036552c26931a91fef0d6d04d451fb556433ceab9f272d374ab9a7410","first_computed_at":"2026-07-05T11:09:26.933366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:26.933366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"siPdI5f4xyYY2e6iZ8OYJyxy9t/XFnCtNWjCi/oZWXCEMntOgFZ8bEiHqfMixIePk2iSjtXJEPk3V4BCAIAHCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:26.933868Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19235","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2af22695637f34375f85731407d4642dcb8f88fde20cc155e371e18b620ac669","sha256:f16b27013bddc34c0a70c49830c7ab18adf54fe76c04566c665603683b453bde"],"state_sha256":"e06b41990f6a1593a2fca25b8ce90bd10ffe09dbc025ffa62805124b48875640"}