{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:EASVNUTJMF2VH5PSIAF32PNRQM","short_pith_number":"pith:EASVNUTJ","canonical_record":{"source":{"id":"2607.02435","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T17:06:31Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"2287b1050b32faabe9ed1271370f9c4c37806b92890f2735dadf580b65eea27f","abstract_canon_sha256":"c75a9cefac5510c5fdc061b8da0b708ab6ef64190b4434250a19277b53702710"},"schema_version":"1.0"},"canonical_sha256":"202556d269617553f5f2400bbd3db18318f0cc94f5b7f4bb0aec4e8260b1cdf4","source":{"kind":"arxiv","id":"2607.02435","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02435","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02435v1","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02435","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"pith_short_12","alias_value":"EASVNUTJMF2V","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"pith_short_16","alias_value":"EASVNUTJMF2VH5PS","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"pith_short_8","alias_value":"EASVNUTJ","created_at":"2026-07-03T01:17:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:EASVNUTJMF2VH5PSIAF32PNRQM","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02435","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T17:06:31Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"2287b1050b32faabe9ed1271370f9c4c37806b92890f2735dadf580b65eea27f","abstract_canon_sha256":"c75a9cefac5510c5fdc061b8da0b708ab6ef64190b4434250a19277b53702710"},"schema_version":"1.0"},"canonical_sha256":"202556d269617553f5f2400bbd3db18318f0cc94f5b7f4bb0aec4e8260b1cdf4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:59.181945Z","signature_b64":"sQfNnnP00pvoAbPAxoARqpc5f3LtnLbWbqsLJ9Dc6rYD6WC2iTVPgzYpJMeO4xqhvUjDXZ069f50BUWgzxp2BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"202556d269617553f5f2400bbd3db18318f0cc94f5b7f4bb0aec4e8260b1cdf4","last_reissued_at":"2026-07-03T01:17:59.181584Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:59.181584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02435","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":"2026-07-03T01:17:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vXg07bfuQyAtH1DkcRlEtnqLuG4FpeoFCpCNYlGyMN6DhCQ5+tsGwD0H7e11N6qbq56WAPk3JViJC4R042gAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T09:07:27.535308Z"},"content_sha256":"586712089e1c6ba517bdf9920003209f9e443212b3f0ad442b00a28fe99dfb5b","schema_version":"1.0","event_id":"sha256:586712089e1c6ba517bdf9920003209f9e443212b3f0ad442b00a28fe99dfb5b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:EASVNUTJMF2VH5PSIAF32PNRQM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"A.S. Anudeep, Vaanathi Sundaresan","submitted_at":"2026-07-02T17:06:31Z","abstract_excerpt":"For clinical deployment, it is essential that automated diagnostic systems remain reliable when confronted with previously unseen cases, yet deep models routinely misclassify out-of-distribution (OOD) inputs with high confidence, underscoring the need for more robust OOD detection methods. Although substantial effort has been devoted to improving model robustness, most of the existing literature assumes balanced datasets, evaluates OOD detection on coarse or non-clinical OOD sources, or lacks comprehensive assessment across diverse OOD scenarios. To address the gaps, we propose a novel methodo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02435","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/2607.02435/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":"2026-07-03T01:17:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BrWZHv0DIPmOiIKfBrhGnkVNTVaYJPKxUW8AmvdV3h5W1D/tHjFf1I9/XUw+QL3oM2HaZluvr71bVmwJiBJADw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T09:07:27.535895Z"},"content_sha256":"c1154db9e107d55ba2a2b29bb04e13277a31ac42c72a6d8c7e0b6d1533866af1","schema_version":"1.0","event_id":"sha256:c1154db9e107d55ba2a2b29bb04e13277a31ac42c72a6d8c7e0b6d1533866af1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EASVNUTJMF2VH5PSIAF32PNRQM/bundle.json","state_url":"https://pith.science/pith/EASVNUTJMF2VH5PSIAF32PNRQM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EASVNUTJMF2VH5PSIAF32PNRQM/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":"2026-07-04T09:07:27Z","links":{"resolver":"https://pith.science/pith/EASVNUTJMF2VH5PSIAF32PNRQM","bundle":"https://pith.science/pith/EASVNUTJMF2VH5PSIAF32PNRQM/bundle.json","state":"https://pith.science/pith/EASVNUTJMF2VH5PSIAF32PNRQM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EASVNUTJMF2VH5PSIAF32PNRQM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EASVNUTJMF2VH5PSIAF32PNRQM","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":"c75a9cefac5510c5fdc061b8da0b708ab6ef64190b4434250a19277b53702710","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T17:06:31Z","title_canon_sha256":"2287b1050b32faabe9ed1271370f9c4c37806b92890f2735dadf580b65eea27f"},"schema_version":"1.0","source":{"id":"2607.02435","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02435","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02435v1","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02435","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"pith_short_12","alias_value":"EASVNUTJMF2V","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"pith_short_16","alias_value":"EASVNUTJMF2VH5PS","created_at":"2026-07-03T01:17:59Z"},{"alias_kind":"pith_short_8","alias_value":"EASVNUTJ","created_at":"2026-07-03T01:17:59Z"}],"graph_snapshots":[{"event_id":"sha256:c1154db9e107d55ba2a2b29bb04e13277a31ac42c72a6d8c7e0b6d1533866af1","target":"graph","created_at":"2026-07-03T01:17:59Z","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/2607.02435/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For clinical deployment, it is essential that automated diagnostic systems remain reliable when confronted with previously unseen cases, yet deep models routinely misclassify out-of-distribution (OOD) inputs with high confidence, underscoring the need for more robust OOD detection methods. Although substantial effort has been devoted to improving model robustness, most of the existing literature assumes balanced datasets, evaluates OOD detection on coarse or non-clinical OOD sources, or lacks comprehensive assessment across diverse OOD scenarios. To address the gaps, we propose a novel methodo","authors_text":"A.S. Anudeep, Vaanathi Sundaresan","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T17:06:31Z","title":"MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02435","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":"sha256:586712089e1c6ba517bdf9920003209f9e443212b3f0ad442b00a28fe99dfb5b","target":"record","created_at":"2026-07-03T01:17:59Z","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":"c75a9cefac5510c5fdc061b8da0b708ab6ef64190b4434250a19277b53702710","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T17:06:31Z","title_canon_sha256":"2287b1050b32faabe9ed1271370f9c4c37806b92890f2735dadf580b65eea27f"},"schema_version":"1.0","source":{"id":"2607.02435","kind":"arxiv","version":1}},"canonical_sha256":"202556d269617553f5f2400bbd3db18318f0cc94f5b7f4bb0aec4e8260b1cdf4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"202556d269617553f5f2400bbd3db18318f0cc94f5b7f4bb0aec4e8260b1cdf4","first_computed_at":"2026-07-03T01:17:59.181584Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:59.181584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sQfNnnP00pvoAbPAxoARqpc5f3LtnLbWbqsLJ9Dc6rYD6WC2iTVPgzYpJMeO4xqhvUjDXZ069f50BUWgzxp2BA==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:59.181945Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02435","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:586712089e1c6ba517bdf9920003209f9e443212b3f0ad442b00a28fe99dfb5b","sha256:c1154db9e107d55ba2a2b29bb04e13277a31ac42c72a6d8c7e0b6d1533866af1"],"state_sha256":"18702cf87e81b1753ecc0411e5f1a5d45792d042e82929d34d478f4e6ff7a182"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WknekA8Jf3K/L2M76v3fB6M4BxUZkwVu7h3BhFDInU1JVVXo1X4KqUFl8hZ50KZle5kTuLkqKVEYd+608gUSDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T09:07:27.540030Z","bundle_sha256":"17d9956a4f557d9a5b13ced129d46a64561de9e9e672f86dc559132749e94d71"}}