{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:CGKDU4VN4PAFMYFVZHRBTAYFB7","short_pith_number":"pith:CGKDU4VN","canonical_record":{"source":{"id":"2605.18313","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T12:31:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c3389d9f753161a7cd68b72a12e1154e4d4a26af4b1bb069448136ecb7c7f264","abstract_canon_sha256":"0a0059a6fa22946cde0394f34f2599fcc46e077e7cf74f224e0acce17c4abbac"},"schema_version":"1.0"},"canonical_sha256":"11943a72ade3c05660b5c9e21983050fec5fe67abf47754c0bdb04fc937ead4b","source":{"kind":"arxiv","id":"2605.18313","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18313","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18313v1","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18313","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_12","alias_value":"CGKDU4VN4PAF","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_16","alias_value":"CGKDU4VN4PAFMYFV","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_8","alias_value":"CGKDU4VN","created_at":"2026-05-20T00:05:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:CGKDU4VN4PAFMYFVZHRBTAYFB7","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18313","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T12:31:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c3389d9f753161a7cd68b72a12e1154e4d4a26af4b1bb069448136ecb7c7f264","abstract_canon_sha256":"0a0059a6fa22946cde0394f34f2599fcc46e077e7cf74f224e0acce17c4abbac"},"schema_version":"1.0"},"canonical_sha256":"11943a72ade3c05660b5c9e21983050fec5fe67abf47754c0bdb04fc937ead4b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:54.602306Z","signature_b64":"/dzH3aroVxi6W76UY4Dmsit0rZ+YKXVfxJQhmPRxy6PdSFvwsy4CVdOOY0RJx+Bah/bSBBrSZnqWlUBy8uoFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11943a72ade3c05660b5c9e21983050fec5fe67abf47754c0bdb04fc937ead4b","last_reissued_at":"2026-05-20T00:05:54.601518Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:54.601518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18313","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":"2026-05-20T00:05:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UGpfiDMccPDkB8yb6M9r7y9FX8hGbGln728FzihiBbQWk65qDPGjwMaVjoJ/TrcUG6bv6PoBeMUEmYfAsSFyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T19:19:56.999375Z"},"content_sha256":"5813cff93c482e1624c6c88d1da7b803e027b54dbf4138f31f1a0f106abe5da0","schema_version":"1.0","event_id":"sha256:5813cff93c482e1624c6c88d1da7b803e027b54dbf4138f31f1a0f106abe5da0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:CGKDU4VN4PAFMYFVZHRBTAYFB7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bernhard Kainz, Johanna P. M\\\"uller, Luca Hagen, Mengyun Qiao, Weitong Zhang","submitted_at":"2026-05-18T12:31:15Z","abstract_excerpt":"Small vision-language models (2-8B) are well-suited for clin- ical deployment due to privacy constraints, limited connectivity, and low-latency requirements favouring on-device or on-premise inference. However, their limited capacity exacerbates the generation of plausible but incorrect outputs. We extend game-theoretic decoding, previously restricted to text-only, closed-ended NLP tasks, to vision-language mod- els for open-ended Medical VQA. We introduce a semantically aware Wasserstein stopping criterion that replaces lexical order matching, en- abling convergence based on semantic consensu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18313","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/2605.18313/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.196592Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T23:21:58.877557Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"f0b59ea7621d881c74861b24b90db8efd5c3849adfc440b84c5ac59dcb21b568"},"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":"2026-05-20T00:05:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RBscMRmeVCZds+86amFCxO4vI95/M/+veO2c4wxT4aqrDOidN9B87C2/CkZpQYlg6XccO/bEaxiRJVtPv2pfDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T19:19:57.000148Z"},"content_sha256":"23cf8c8826b261ff7eac05e90bc8164ce5ea03c6eb0dc3c4d08ab3d61637b698","schema_version":"1.0","event_id":"sha256:23cf8c8826b261ff7eac05e90bc8164ce5ea03c6eb0dc3c4d08ab3d61637b698"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CGKDU4VN4PAFMYFVZHRBTAYFB7/bundle.json","state_url":"https://pith.science/pith/CGKDU4VN4PAFMYFVZHRBTAYFB7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CGKDU4VN4PAFMYFVZHRBTAYFB7/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":"2026-05-26T19:19:57Z","links":{"resolver":"https://pith.science/pith/CGKDU4VN4PAFMYFVZHRBTAYFB7","bundle":"https://pith.science/pith/CGKDU4VN4PAFMYFVZHRBTAYFB7/bundle.json","state":"https://pith.science/pith/CGKDU4VN4PAFMYFVZHRBTAYFB7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CGKDU4VN4PAFMYFVZHRBTAYFB7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CGKDU4VN4PAFMYFVZHRBTAYFB7","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":"0a0059a6fa22946cde0394f34f2599fcc46e077e7cf74f224e0acce17c4abbac","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T12:31:15Z","title_canon_sha256":"c3389d9f753161a7cd68b72a12e1154e4d4a26af4b1bb069448136ecb7c7f264"},"schema_version":"1.0","source":{"id":"2605.18313","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18313","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18313v1","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18313","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_12","alias_value":"CGKDU4VN4PAF","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_16","alias_value":"CGKDU4VN4PAFMYFV","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_8","alias_value":"CGKDU4VN","created_at":"2026-05-20T00:05:54Z"}],"graph_snapshots":[{"event_id":"sha256:23cf8c8826b261ff7eac05e90bc8164ce5ea03c6eb0dc3c4d08ab3d61637b698","target":"graph","created_at":"2026-05-20T00:05:54Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.196592Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T23:21:58.877557Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.18313/integrity.json","findings":[],"snapshot_sha256":"f0b59ea7621d881c74861b24b90db8efd5c3849adfc440b84c5ac59dcb21b568","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Small vision-language models (2-8B) are well-suited for clin- ical deployment due to privacy constraints, limited connectivity, and low-latency requirements favouring on-device or on-premise inference. However, their limited capacity exacerbates the generation of plausible but incorrect outputs. We extend game-theoretic decoding, previously restricted to text-only, closed-ended NLP tasks, to vision-language mod- els for open-ended Medical VQA. We introduce a semantically aware Wasserstein stopping criterion that replaces lexical order matching, en- abling convergence based on semantic consensu","authors_text":"Bernhard Kainz, Johanna P. M\\\"uller, Luca Hagen, Mengyun Qiao, Weitong Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T12:31:15Z","title":"Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18313","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":"sha256:5813cff93c482e1624c6c88d1da7b803e027b54dbf4138f31f1a0f106abe5da0","target":"record","created_at":"2026-05-20T00:05:54Z","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":"0a0059a6fa22946cde0394f34f2599fcc46e077e7cf74f224e0acce17c4abbac","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T12:31:15Z","title_canon_sha256":"c3389d9f753161a7cd68b72a12e1154e4d4a26af4b1bb069448136ecb7c7f264"},"schema_version":"1.0","source":{"id":"2605.18313","kind":"arxiv","version":1}},"canonical_sha256":"11943a72ade3c05660b5c9e21983050fec5fe67abf47754c0bdb04fc937ead4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11943a72ade3c05660b5c9e21983050fec5fe67abf47754c0bdb04fc937ead4b","first_computed_at":"2026-05-20T00:05:54.601518Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:54.601518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/dzH3aroVxi6W76UY4Dmsit0rZ+YKXVfxJQhmPRxy6PdSFvwsy4CVdOOY0RJx+Bah/bSBBrSZnqWlUBy8uoFAg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:54.602306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18313","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5813cff93c482e1624c6c88d1da7b803e027b54dbf4138f31f1a0f106abe5da0","sha256:23cf8c8826b261ff7eac05e90bc8164ce5ea03c6eb0dc3c4d08ab3d61637b698"],"state_sha256":"1a86c07327df01f1941e11e827ac13093f4b73bd39519430f2e5e8daa2317870"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qzF13pcck148neH1EyA6mWZo3pG1wyvVxj8+oFR9ShgHyBrtqqUjbSKqOGTnMvpmMGdUd3Lxhw6aAme2ekolDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T19:19:57.003936Z","bundle_sha256":"d61c2b08b910661743ef679817a07373383bd0742837267cf3308b30037154a3"}}