{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:73ZQD33PNHFPKECBTEGYKPG4LT","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":"a639b953bb24495c6db74a756aea7d23a4bcbd3b7e41df9f073d439ff583505b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:21:11Z","title_canon_sha256":"25f1692ac37efdb4bf0b3844077dfe5a2bd22ce6fb26e7722e137b710df5f10b"},"schema_version":"1.0","source":{"id":"2506.13166","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13166","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13166v1","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13166","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_12","alias_value":"73ZQD33PNHFP","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_16","alias_value":"73ZQD33PNHFPKECB","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_8","alias_value":"73ZQD33P","created_at":"2026-07-05T11:22:06Z"}],"graph_snapshots":[{"event_id":"sha256:2a2c94c7fdabb87504c59811590cb624cbb636eeeb1ff99399d209cde5d314ca","target":"graph","created_at":"2026-07-05T11:22:06Z","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/2506.13166/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although Large Vision Language Models (LVLMs) have demonstrated remarkable performance in image understanding tasks, their computational efficiency remains a significant challenge, particularly on resource-constrained devices due to the high cost of processing large numbers of visual tokens. Recently, training-free visual token pruning methods have gained popularity as a low-cost solution to this issue. However, existing approaches suffer from two key limitations: semantic saliency-based strategies primarily focus on high cross-attention visual tokens, often neglecting visual diversity, wherea","authors_text":"Jun Wang, Ruiguang Pei, Weiqing Sun, Zhihui Fu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:21:11Z","title":"GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13166","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":"sha256:1398a2bbbe01537b9a9d5f1f48f3b92b0309204ab68afb876afd5111dc315214","target":"record","created_at":"2026-07-05T11:22:06Z","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":"a639b953bb24495c6db74a756aea7d23a4bcbd3b7e41df9f073d439ff583505b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:21:11Z","title_canon_sha256":"25f1692ac37efdb4bf0b3844077dfe5a2bd22ce6fb26e7722e137b710df5f10b"},"schema_version":"1.0","source":{"id":"2506.13166","kind":"arxiv","version":1}},"canonical_sha256":"fef301ef6f69caf51041990d853cdc5cf851dc15197d167f9c73dd8d342ea300","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fef301ef6f69caf51041990d853cdc5cf851dc15197d167f9c73dd8d342ea300","first_computed_at":"2026-07-05T11:22:06.139435Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:06.139435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aAkIDhJwjD8SvKaIIWvEJ0z4BK7PZUUn1VCKt6Wj8cZmqmAfRMEerMiHdt8BPtMrEiYpQgDFuQs6XwULX3T9DA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:06.139866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13166","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1398a2bbbe01537b9a9d5f1f48f3b92b0309204ab68afb876afd5111dc315214","sha256:2a2c94c7fdabb87504c59811590cb624cbb636eeeb1ff99399d209cde5d314ca"],"state_sha256":"566a6e997836732677fbed3f5a8e5de8b513ef035fd38054509392aa52250f45"}