{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:YB4KC2L6NZ4Q7FGBZCPTWHY6ZA","short_pith_number":"pith:YB4KC2L6","schema_version":"1.0","canonical_sha256":"c078a1697e6e790f94c1c89f3b1f1ec8395e78a698587353e8ef998fd6276fb4","source":{"kind":"arxiv","id":"2606.04613","version":1},"attestation_state":"computed","paper":{"title":"Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Alessandro Gambetti, Cl\\'audia Soares, Hong Shen, Qiwei Han","submitted_at":"2026-06-03T08:50:30Z","abstract_excerpt":"Vision-Language Models (VLMs) struggle when applied to medical image-text data, yet the tools available to diagnose this failure remain limited. Existing representation alignment metrics are symmetric, collapsing both modalities into a single score and hiding which modality drives cross-modal degradation. We introduce the Spectral Alignment Score (SAS), an asymmetric metric that projects both modalities onto the principal eigenbasis of an anchor modality and computes eigenvalue-weighted per-eigenmode correlations, resulting in directional scores whose difference quantifies modality information"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.04613","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T08:50:30Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7e16dd8bb3eedb210da0f62512d657703fb6723a92b4e4efd843bbc84ff2410e","abstract_canon_sha256":"8a23f6fd7b3486f40d164b9f20225ddfb0921c8543908c04af6d6a5f13190187"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:21.353725Z","signature_b64":"rfrq/vl3PkBz8EG4bGA6ApT53JfLZvn040jP4gc+Zd+rk5oNx0pm5rpl6q/z1j4fl/lYKsdhkqjoK3MzI+MUBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c078a1697e6e790f94c1c89f3b1f1ec8395e78a698587353e8ef998fd6276fb4","last_reissued_at":"2026-06-04T01:09:21.352927Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:21.352927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Alessandro Gambetti, Cl\\'audia Soares, Hong Shen, Qiwei Han","submitted_at":"2026-06-03T08:50:30Z","abstract_excerpt":"Vision-Language Models (VLMs) struggle when applied to medical image-text data, yet the tools available to diagnose this failure remain limited. Existing representation alignment metrics are symmetric, collapsing both modalities into a single score and hiding which modality drives cross-modal degradation. We introduce the Spectral Alignment Score (SAS), an asymmetric metric that projects both modalities onto the principal eigenbasis of an anchor modality and computes eigenvalue-weighted per-eigenmode correlations, resulting in directional scores whose difference quantifies modality information"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04613","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/2606.04613/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.04613","created_at":"2026-06-04T01:09:21.353054+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.04613v1","created_at":"2026-06-04T01:09:21.353054+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04613","created_at":"2026-06-04T01:09:21.353054+00:00"},{"alias_kind":"pith_short_12","alias_value":"YB4KC2L6NZ4Q","created_at":"2026-06-04T01:09:21.353054+00:00"},{"alias_kind":"pith_short_16","alias_value":"YB4KC2L6NZ4Q7FGB","created_at":"2026-06-04T01:09:21.353054+00:00"},{"alias_kind":"pith_short_8","alias_value":"YB4KC2L6","created_at":"2026-06-04T01:09:21.353054+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA","json":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA.json","graph_json":"https://pith.science/api/pith-number/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/graph.json","events_json":"https://pith.science/api/pith-number/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/events.json","paper":"https://pith.science/paper/YB4KC2L6"},"agent_actions":{"view_html":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA","download_json":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA.json","view_paper":"https://pith.science/paper/YB4KC2L6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.04613&json=true","fetch_graph":"https://pith.science/api/pith-number/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/graph.json","fetch_events":"https://pith.science/api/pith-number/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/action/storage_attestation","attest_author":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/action/author_attestation","sign_citation":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/action/citation_signature","submit_replication":"https://pith.science/pith/YB4KC2L6NZ4Q7FGBZCPTWHY6ZA/action/replication_record"}},"created_at":"2026-06-04T01:09:21.353054+00:00","updated_at":"2026-06-04T01:09:21.353054+00:00"}