{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LPP5E54WMCJSZUKJ54KGDJTRAD","short_pith_number":"pith:LPP5E54W","canonical_record":{"source":{"id":"2606.00909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-30T22:20:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf885e24a38d3060b3b58d13180e3bfb63a66d7826c02e376ccd495c16053522","abstract_canon_sha256":"672fb2eb3ec7cd1b7a05401c8074821b7c5dd87a8df0e094ff1ddc70222fb4c8"},"schema_version":"1.0"},"canonical_sha256":"5bdfd2779660932cd149ef1461a67100ec385682208cd79d33b8787882b42252","source":{"kind":"arxiv","id":"2606.00909","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00909","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00909v1","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00909","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"LPP5E54WMCJS","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"LPP5E54WMCJSZUKJ","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"LPP5E54W","created_at":"2026-06-02T01:04:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LPP5E54WMCJSZUKJ54KGDJTRAD","target":"record","payload":{"canonical_record":{"source":{"id":"2606.00909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-30T22:20:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf885e24a38d3060b3b58d13180e3bfb63a66d7826c02e376ccd495c16053522","abstract_canon_sha256":"672fb2eb3ec7cd1b7a05401c8074821b7c5dd87a8df0e094ff1ddc70222fb4c8"},"schema_version":"1.0"},"canonical_sha256":"5bdfd2779660932cd149ef1461a67100ec385682208cd79d33b8787882b42252","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:04:09.295298Z","signature_b64":"45INyHjOdQs6w7BjqgySkT31dfhWXoz4S/aTa/cQ9CfshhZRiqo5wplGdN/eOx/t+Ux+dPr8Cm/bT85wKhDFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bdfd2779660932cd149ef1461a67100ec385682208cd79d33b8787882b42252","last_reissued_at":"2026-06-02T01:04:09.294909Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:04:09.294909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.00909","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T01:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K88UGLFty1Cl+iHjckbBM1EbQ5D8/+cvxdK6zpNUTiImFya7ox3Y2owmyNDH0UEUxy2tg9s+j51PW4mUVa44Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T18:17:55.647736Z"},"content_sha256":"1085964f3cb95b6f4de347fa5c6aa2bb2a5d609c00a158e32a820b4dddda6444","schema_version":"1.0","event_id":"sha256:1085964f3cb95b6f4de347fa5c6aa2bb2a5d609c00a158e32a820b4dddda6444"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LPP5E54WMCJSZUKJ54KGDJTRAD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MLLM-Microscope: Unlocking Hidden Structure Within Multimodal Large Language Models","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ravil Mussabayev, Rustam Mussabayev","submitted_at":"2026-05-30T22:20:50Z","abstract_excerpt":"This work presents MLLM-Microscope, a novel system designed for analyzing the hidden representations within Multimodal Large Language Models (MLLMs). Our system evaluates the linearity, intrinsic dimension, and anisotropy of multimodal token embeddings across transformer layers. Utilizing the ScienceQA dataset, we evaluate two state-of-the-art MLLMs, LLaVA-NeXT and OmniFusion. We find that both the main and residual streams for tokens of both modalities exhibit highly linear behaviors across transformer layers. However, LLaVA-NeXT's image tokens reveal a slight decline in linearity, whereas Om"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00909","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.00909/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T01:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V3BOO08KzDXD+CfcGacJ61jGdTx+HrXGhKrxaFTOpsSq96S9LPs1Pff0MiczrRq/z1DBrv5bWNSxeq8Q8VTxCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T18:17:55.648109Z"},"content_sha256":"4976b0b7739cf16a84a7e591b0c1197fa2b5054dd6af445d658257d7e340bedc","schema_version":"1.0","event_id":"sha256:4976b0b7739cf16a84a7e591b0c1197fa2b5054dd6af445d658257d7e340bedc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LPP5E54WMCJSZUKJ54KGDJTRAD/bundle.json","state_url":"https://pith.science/pith/LPP5E54WMCJSZUKJ54KGDJTRAD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LPP5E54WMCJSZUKJ54KGDJTRAD/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-29T18:17:55Z","links":{"resolver":"https://pith.science/pith/LPP5E54WMCJSZUKJ54KGDJTRAD","bundle":"https://pith.science/pith/LPP5E54WMCJSZUKJ54KGDJTRAD/bundle.json","state":"https://pith.science/pith/LPP5E54WMCJSZUKJ54KGDJTRAD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LPP5E54WMCJSZUKJ54KGDJTRAD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LPP5E54WMCJSZUKJ54KGDJTRAD","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":"672fb2eb3ec7cd1b7a05401c8074821b7c5dd87a8df0e094ff1ddc70222fb4c8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-30T22:20:50Z","title_canon_sha256":"bf885e24a38d3060b3b58d13180e3bfb63a66d7826c02e376ccd495c16053522"},"schema_version":"1.0","source":{"id":"2606.00909","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00909","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00909v1","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00909","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"LPP5E54WMCJS","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"LPP5E54WMCJSZUKJ","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"LPP5E54W","created_at":"2026-06-02T01:04:09Z"}],"graph_snapshots":[{"event_id":"sha256:4976b0b7739cf16a84a7e591b0c1197fa2b5054dd6af445d658257d7e340bedc","target":"graph","created_at":"2026-06-02T01:04:09Z","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/2606.00909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work presents MLLM-Microscope, a novel system designed for analyzing the hidden representations within Multimodal Large Language Models (MLLMs). Our system evaluates the linearity, intrinsic dimension, and anisotropy of multimodal token embeddings across transformer layers. Utilizing the ScienceQA dataset, we evaluate two state-of-the-art MLLMs, LLaVA-NeXT and OmniFusion. We find that both the main and residual streams for tokens of both modalities exhibit highly linear behaviors across transformer layers. However, LLaVA-NeXT's image tokens reveal a slight decline in linearity, whereas Om","authors_text":"Ravil Mussabayev, Rustam Mussabayev","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-30T22:20:50Z","title":"MLLM-Microscope: Unlocking Hidden Structure Within Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00909","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":"sha256:1085964f3cb95b6f4de347fa5c6aa2bb2a5d609c00a158e32a820b4dddda6444","target":"record","created_at":"2026-06-02T01:04:09Z","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":"672fb2eb3ec7cd1b7a05401c8074821b7c5dd87a8df0e094ff1ddc70222fb4c8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-30T22:20:50Z","title_canon_sha256":"bf885e24a38d3060b3b58d13180e3bfb63a66d7826c02e376ccd495c16053522"},"schema_version":"1.0","source":{"id":"2606.00909","kind":"arxiv","version":1}},"canonical_sha256":"5bdfd2779660932cd149ef1461a67100ec385682208cd79d33b8787882b42252","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bdfd2779660932cd149ef1461a67100ec385682208cd79d33b8787882b42252","first_computed_at":"2026-06-02T01:04:09.294909Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:09.294909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"45INyHjOdQs6w7BjqgySkT31dfhWXoz4S/aTa/cQ9CfshhZRiqo5wplGdN/eOx/t+Ux+dPr8Cm/bT85wKhDFCw==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:09.295298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00909","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1085964f3cb95b6f4de347fa5c6aa2bb2a5d609c00a158e32a820b4dddda6444","sha256:4976b0b7739cf16a84a7e591b0c1197fa2b5054dd6af445d658257d7e340bedc"],"state_sha256":"f0739ed0b4f33b6c98823439cebaf1792ea393eb3217c9b03c1c3b2bf120ba54"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RmYc2PBKMbZExQr9E6EoKfPSRPncLPsw+zlPzZHyKY6iCOC9DmmrO9CLwJWPL+GhdJ17hjkf/X7wS3wwZB2/DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T18:17:55.650156Z","bundle_sha256":"7ad0c02c4ba1420521cdf02315a37eb48767e4476312a417afa27a6356f11a9e"}}