{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LFOYPHJJLE6TODHH5ZHIUCB4LK","short_pith_number":"pith:LFOYPHJJ","canonical_record":{"source":{"id":"2605.24977","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T10:17:24Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"42f06657e6bf9018ea91c6386e40e0e1498ef4ab8365f2d109d5e1cc53e36126","abstract_canon_sha256":"7094ebde1b882cc2f1754272f8d41fe76d6283253598b148c94bd9cf373d9ff1"},"schema_version":"1.0"},"canonical_sha256":"595d879d29593d370ce7ee4e8a083c5a81bbfa4ee876f8f159a45eb1be5b6b2a","source":{"kind":"arxiv","id":"2605.24977","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24977","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24977v1","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24977","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"LFOYPHJJLE6T","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"LFOYPHJJLE6TODHH","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"LFOYPHJJ","created_at":"2026-05-26T01:04:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LFOYPHJJLE6TODHH5ZHIUCB4LK","target":"record","payload":{"canonical_record":{"source":{"id":"2605.24977","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T10:17:24Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"42f06657e6bf9018ea91c6386e40e0e1498ef4ab8365f2d109d5e1cc53e36126","abstract_canon_sha256":"7094ebde1b882cc2f1754272f8d41fe76d6283253598b148c94bd9cf373d9ff1"},"schema_version":"1.0"},"canonical_sha256":"595d879d29593d370ce7ee4e8a083c5a81bbfa4ee876f8f159a45eb1be5b6b2a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:04:09.027035Z","signature_b64":"ukNiyfNxuPmYCAVQTLI2kMcCJhbFUL4S9loFS2QJIdpIRy5xrCdV2+j6M0kD3yIBuS4gHJsiomo5dAADYYvsAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"595d879d29593d370ce7ee4e8a083c5a81bbfa4ee876f8f159a45eb1be5b6b2a","last_reissued_at":"2026-05-26T01:04:09.026445Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:04:09.026445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.24977","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":"2026-05-26T01:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pbZvTHXRoDxmKegWsbhFWzKupCpEBfQneKsp+fmDpl0W4d/IQ82V0rEg9MXYxrQmHZktuHL8qCykw55sda2gBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:11:13.594126Z"},"content_sha256":"7f7276b0237a7927810010391c6cbb9cef8da77353850577d851328c88b109ba","schema_version":"1.0","event_id":"sha256:7f7276b0237a7927810010391c6cbb9cef8da77353850577d851328c88b109ba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LFOYPHJJLE6TODHH5ZHIUCB4LK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Ahmed Allam, Benjamin Gundersen, Christian Bl\\\"uthgen, Farhad Nooralahzadeh, Hidetoshi Matsuom, Michael Krauthammer, Michael Moor, Mizuho Nishio, Nicolas Deperrois, Thomas Frauenfelder","submitted_at":"2026-05-24T10:17:24Z","abstract_excerpt":"Medical vision-language models (VLMs) often hallucinate findings when generating chest X-ray reports: they fabricate findings that are not present in the image, miss important ones, or locate them incorrectly. We mitigate this without weight updates by decoding-time residual steering on a per-token sparse autoencoder (SAE) basis: Top-$K$ SAEs on late layers, causal steering against clinical errors, then combined suppress/boost intervention at inference time. On the MIMIC-CXR test split, our inference-only method improves the quality of generated reports for three radiology VLMs (RadVLM, LLaVA-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24977","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/2605.24977/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":"2026-05-26T01:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jyrP9ulmkVQKQUg96oIRDXi4ZYXLM4hGDQoktkUdydh+H4GvRU9FERtpLLRUwpx34TCSgm5HyUWVE+/XeX+xBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:11:13.594523Z"},"content_sha256":"5f5669341b450347c79e7c610d06fcf39216d7e6958fcb511bb99df009908d32","schema_version":"1.0","event_id":"sha256:5f5669341b450347c79e7c610d06fcf39216d7e6958fcb511bb99df009908d32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LFOYPHJJLE6TODHH5ZHIUCB4LK/bundle.json","state_url":"https://pith.science/pith/LFOYPHJJLE6TODHH5ZHIUCB4LK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LFOYPHJJLE6TODHH5ZHIUCB4LK/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":"2026-06-01T11:11:13Z","links":{"resolver":"https://pith.science/pith/LFOYPHJJLE6TODHH5ZHIUCB4LK","bundle":"https://pith.science/pith/LFOYPHJJLE6TODHH5ZHIUCB4LK/bundle.json","state":"https://pith.science/pith/LFOYPHJJLE6TODHH5ZHIUCB4LK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LFOYPHJJLE6TODHH5ZHIUCB4LK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LFOYPHJJLE6TODHH5ZHIUCB4LK","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":"7094ebde1b882cc2f1754272f8d41fe76d6283253598b148c94bd9cf373d9ff1","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T10:17:24Z","title_canon_sha256":"42f06657e6bf9018ea91c6386e40e0e1498ef4ab8365f2d109d5e1cc53e36126"},"schema_version":"1.0","source":{"id":"2605.24977","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24977","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24977v1","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24977","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"LFOYPHJJLE6T","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"LFOYPHJJLE6TODHH","created_at":"2026-05-26T01:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"LFOYPHJJ","created_at":"2026-05-26T01:04:09Z"}],"graph_snapshots":[{"event_id":"sha256:5f5669341b450347c79e7c610d06fcf39216d7e6958fcb511bb99df009908d32","target":"graph","created_at":"2026-05-26T01:04:09Z","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/2605.24977/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical vision-language models (VLMs) often hallucinate findings when generating chest X-ray reports: they fabricate findings that are not present in the image, miss important ones, or locate them incorrectly. We mitigate this without weight updates by decoding-time residual steering on a per-token sparse autoencoder (SAE) basis: Top-$K$ SAEs on late layers, causal steering against clinical errors, then combined suppress/boost intervention at inference time. On the MIMIC-CXR test split, our inference-only method improves the quality of generated reports for three radiology VLMs (RadVLM, LLaVA-","authors_text":"Ahmed Allam, Benjamin Gundersen, Christian Bl\\\"uthgen, Farhad Nooralahzadeh, Hidetoshi Matsuom, Michael Krauthammer, Michael Moor, Mizuho Nishio, Nicolas Deperrois, Thomas Frauenfelder","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T10:17:24Z","title":"Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24977","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":"sha256:7f7276b0237a7927810010391c6cbb9cef8da77353850577d851328c88b109ba","target":"record","created_at":"2026-05-26T01:04:09Z","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":"7094ebde1b882cc2f1754272f8d41fe76d6283253598b148c94bd9cf373d9ff1","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T10:17:24Z","title_canon_sha256":"42f06657e6bf9018ea91c6386e40e0e1498ef4ab8365f2d109d5e1cc53e36126"},"schema_version":"1.0","source":{"id":"2605.24977","kind":"arxiv","version":1}},"canonical_sha256":"595d879d29593d370ce7ee4e8a083c5a81bbfa4ee876f8f159a45eb1be5b6b2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"595d879d29593d370ce7ee4e8a083c5a81bbfa4ee876f8f159a45eb1be5b6b2a","first_computed_at":"2026-05-26T01:04:09.026445Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:04:09.026445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ukNiyfNxuPmYCAVQTLI2kMcCJhbFUL4S9loFS2QJIdpIRy5xrCdV2+j6M0kD3yIBuS4gHJsiomo5dAADYYvsAA==","signature_status":"signed_v1","signed_at":"2026-05-26T01:04:09.027035Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24977","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f7276b0237a7927810010391c6cbb9cef8da77353850577d851328c88b109ba","sha256:5f5669341b450347c79e7c610d06fcf39216d7e6958fcb511bb99df009908d32"],"state_sha256":"de933b15f83e3aaf2ca853c322873ff4b9e1ebb24bb3b449e4ad4ffd2c03a4af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0LsF0hIsDh24HD+YXKmN4E8eGHX4NZW/2OX7AH+WK9j7OKcA7wlapE+fH68wsNSynLZJMgTJlKaCMy6EmeyrAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T11:11:13.596802Z","bundle_sha256":"f16880128dab2b15ab1a958365d134937a6227c7c9b02391ca679fd92c619e8d"}}