{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WUOU3S5RR32UPWWIINVGV67XPO","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":"c7e195534cc4054c16bbf0ec4bd35e2ea6bc09d69be47e809cb3f211ebdfb7a8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-04T08:18:31Z","title_canon_sha256":"7a054373bc4f8fd4e0b6c757993a00cd53712ace35cec26623762eaed4b9b7f7"},"schema_version":"1.0","source":{"id":"2606.05843","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05843","created_at":"2026-06-05T01:15:05Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05843v1","created_at":"2026-06-05T01:15:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05843","created_at":"2026-06-05T01:15:05Z"},{"alias_kind":"pith_short_12","alias_value":"WUOU3S5RR32U","created_at":"2026-06-05T01:15:05Z"},{"alias_kind":"pith_short_16","alias_value":"WUOU3S5RR32UPWWI","created_at":"2026-06-05T01:15:05Z"},{"alias_kind":"pith_short_8","alias_value":"WUOU3S5R","created_at":"2026-06-05T01:15:05Z"}],"graph_snapshots":[{"event_id":"sha256:89848d496ff38b87fd3c73ea6a82d17bb7b4ae3e8327c36bddef0af2652f5ec7","target":"graph","created_at":"2026-06-05T01:15:05Z","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/2606.05843/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Multimodal Large Language Models (MLLMs) demonstrate remarkable proficiency on complex vision-language tasks, the mechanisms by which they extract query-relevant visual features from complex, noisy contexts remain opaque. In this paper, we present an in-depth interpretability study that uncovers a profound structural property within MLLMs: functional sparsity in cross-modal retrieval. Leveraging a token-level metric termed Retrieval Attention Mass (RAM), we identify and characterize a highly specialized subset of attention heads, referred to as Context-aware Retrieval (CoRe) heads. Acros","authors_text":"Juntao Li, Min Zhang, Quantong Qiu, Ruoxi Sun, Yihang Lou, Zecheng Tang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-04T08:18:31Z","title":"Mechanistic Insights into Functional Sparsity in Multimodal LLMs via CoRe Heads"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05843","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:a9aafc5c77e0c3e5c1793322bfdb89471266d7c2cd7a6b36ee75251968f31df7","target":"record","created_at":"2026-06-05T01:15:05Z","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":"c7e195534cc4054c16bbf0ec4bd35e2ea6bc09d69be47e809cb3f211ebdfb7a8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-04T08:18:31Z","title_canon_sha256":"7a054373bc4f8fd4e0b6c757993a00cd53712ace35cec26623762eaed4b9b7f7"},"schema_version":"1.0","source":{"id":"2606.05843","kind":"arxiv","version":1}},"canonical_sha256":"b51d4dcbb18ef547dac8436a6afbf77bb21c2565145e9fd291fa2468604021a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b51d4dcbb18ef547dac8436a6afbf77bb21c2565145e9fd291fa2468604021a5","first_computed_at":"2026-06-05T01:15:05.408417Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T01:15:05.408417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yRKwbN7HKe9N3P09pMnavr2JZk6wiOvlSBGyJlF6VK0d5DhPgbCeZMZSHCWgLjdnukP7HeEi61yicl8fFu8NBg==","signature_status":"signed_v1","signed_at":"2026-06-05T01:15:05.408828Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.05843","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9aafc5c77e0c3e5c1793322bfdb89471266d7c2cd7a6b36ee75251968f31df7","sha256:89848d496ff38b87fd3c73ea6a82d17bb7b4ae3e8327c36bddef0af2652f5ec7"],"state_sha256":"a8f113d261bc1cbf4d71a1c39e2598e1b5d6374845077da8a2218ae7e323b31b"}