{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5NRPO766ZMNQ52IBMLQI6XKAQF","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":"f3dacdd816f8329735065b37c4239702a5ff86721028967d02b8021f475331aa","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T13:36:46Z","title_canon_sha256":"51e2f68fcd0263b5058dfa8d165890cd5553d5e6a122ead91a5cf701b48601f9"},"schema_version":"1.0","source":{"id":"2605.25842","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25842","created_at":"2026-05-26T02:05:14Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25842v1","created_at":"2026-05-26T02:05:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25842","created_at":"2026-05-26T02:05:14Z"},{"alias_kind":"pith_short_12","alias_value":"5NRPO766ZMNQ","created_at":"2026-05-26T02:05:14Z"},{"alias_kind":"pith_short_16","alias_value":"5NRPO766ZMNQ52IB","created_at":"2026-05-26T02:05:14Z"},{"alias_kind":"pith_short_8","alias_value":"5NRPO766","created_at":"2026-05-26T02:05:14Z"}],"graph_snapshots":[{"event_id":"sha256:d5daa27a00a69969938d1b11137931211de8cb6a10e8d6e3c1729a0b59a76f04","target":"graph","created_at":"2026-05-26T02:05:14Z","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/2605.25842/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models (VLMs) increasingly rely on chain-of-thought (CoT) reasoning to solve complex multimodal tasks, but their large parameter sizes make deployment expensive. Structured pruning offers a natural solution; however, existing methods fail to preserve CoT reasoning accuracy in VLMs. We identify two key reasons: (1) CoT consistency depends on sparse transition points (pivot tokens) in the generation trajectory, while existing pruning methods are CoT-agnostic; and (2) pruning methods designed for unimodal LLMs do not account for activation-distribution differences across visual an","authors_text":"Aritra Dutta, Somak Aditya","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T13:36:46Z","title":"MuCRASP: Multimodal Chain-of-thought Reasoning aware Structured Pruning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25842","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":"sha256:6d62fbe4f35978518c8397cdb2b88636c304639bbfad745f879ec0f2d34b6ed4","target":"record","created_at":"2026-05-26T02:05:14Z","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":"f3dacdd816f8329735065b37c4239702a5ff86721028967d02b8021f475331aa","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T13:36:46Z","title_canon_sha256":"51e2f68fcd0263b5058dfa8d165890cd5553d5e6a122ead91a5cf701b48601f9"},"schema_version":"1.0","source":{"id":"2605.25842","kind":"arxiv","version":1}},"canonical_sha256":"eb62f77fdecb1b0ee90162e08f5d40817bbf12d29b02884c2331807bc8f95c0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb62f77fdecb1b0ee90162e08f5d40817bbf12d29b02884c2331807bc8f95c0c","first_computed_at":"2026-05-26T02:05:14.844254Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:05:14.844254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/iuaogmhDEK7hBTVr80nfW9YYF92BpqXmMj4dZkLCSIJVmakoT9It1nQleFj3gL5xsJ/s0K47NzUhMCSY79yCg==","signature_status":"signed_v1","signed_at":"2026-05-26T02:05:14.844791Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25842","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d62fbe4f35978518c8397cdb2b88636c304639bbfad745f879ec0f2d34b6ed4","sha256:d5daa27a00a69969938d1b11137931211de8cb6a10e8d6e3c1729a0b59a76f04"],"state_sha256":"cf7782e5856b9cdaa6ae7a42e7bd412b4ec508d806b1d0e25e302cd2e47b9838"}