{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:A3Q3C6L7X7U26JRK7OXYOHI6VG","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":"ad2fb0eb07975cb280fa71d88841cf7a647c9ad220306bb569134bfeb98ddc79","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:57:31Z","title_canon_sha256":"715b27a00a77104034eaf2345e50139c4126639beee020cf11400a27a8712073"},"schema_version":"1.0","source":{"id":"2605.30126","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30126","created_at":"2026-05-29T02:06:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30126v1","created_at":"2026-05-29T02:06:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30126","created_at":"2026-05-29T02:06:10Z"},{"alias_kind":"pith_short_12","alias_value":"A3Q3C6L7X7U2","created_at":"2026-05-29T02:06:10Z"},{"alias_kind":"pith_short_16","alias_value":"A3Q3C6L7X7U26JRK","created_at":"2026-05-29T02:06:10Z"},{"alias_kind":"pith_short_8","alias_value":"A3Q3C6L7","created_at":"2026-05-29T02:06:10Z"}],"graph_snapshots":[{"event_id":"sha256:7cbc61da16f3148e1b01b2b92c5185480b3454d713bf122c966abcf92c260e05","target":"graph","created_at":"2026-05-29T02:06:10Z","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/2605.30126/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Vision-Language Models (LVLMs) map visual inputs into dense token sequences, imposing a quadratic computational bottleneck for inference. Elastic visual-token compression addresses this by training a single model that can run at multiple visual-token budgets. However, existing approaches struggle under aggressive compression. Spatial-only compression, as in nested pooling, behaves as an imperfect low-pass filter and induces spectral aliasing that obscures fine-grained detail. Query-only compression, as in nested query resampling, replaces explicit grid-aligned tokens with non-local summa","authors_text":"Alessio Tonioni, Bernt Schiele, Federico Tombari, Muhammad Ferjad Naeem, Selim Kuzucu, Vasile Lup","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:57:31Z","title":"PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30126","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:ba4700550e329238326b6a7991e0eaf8a80a48973fe159fc9d313de314d972bc","target":"record","created_at":"2026-05-29T02:06:10Z","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":"ad2fb0eb07975cb280fa71d88841cf7a647c9ad220306bb569134bfeb98ddc79","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:57:31Z","title_canon_sha256":"715b27a00a77104034eaf2345e50139c4126639beee020cf11400a27a8712073"},"schema_version":"1.0","source":{"id":"2605.30126","kind":"arxiv","version":1}},"canonical_sha256":"06e1b1797fbfe9af262afbaf871d1ea98fabb62914e4a3bc776774f455472d52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06e1b1797fbfe9af262afbaf871d1ea98fabb62914e4a3bc776774f455472d52","first_computed_at":"2026-05-29T02:06:10.526183Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:06:10.526183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zpv2xVvJCjaCDuZB1X5rfzbt0KOcwirnAq7nEdECujTFBlME2elEOJkirwIouRLBYb6ifFjJ80X2wLP/At7yDQ==","signature_status":"signed_v1","signed_at":"2026-05-29T02:06:10.526565Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30126","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba4700550e329238326b6a7991e0eaf8a80a48973fe159fc9d313de314d972bc","sha256:7cbc61da16f3148e1b01b2b92c5185480b3454d713bf122c966abcf92c260e05"],"state_sha256":"5e9b1969d4b0cd3005381018a1f016a54622fdbf5bb8a13cc853d7c5ad60376e"}