{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PWB6E65PH5NM5XHXHKU6W2XRJP","short_pith_number":"pith:PWB6E65P","canonical_record":{"source":{"id":"2603.14579","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-03-15T19:54:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9f9aca051d12c47edffbaff11b993fff204dba6a443b2c2f95ed5c925079fa38","abstract_canon_sha256":"7cbfae311269da192ca49b1b26ab5bf7413d91d777c503abda35fb13ff497719"},"schema_version":"1.0"},"canonical_sha256":"7d83e27baf3f5acedcf73aa9eb6af14bdd337a2b6d1be6bc3b635b971800a61b","source":{"kind":"arxiv","id":"2603.14579","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.14579","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"arxiv_version","alias_value":"2603.14579v3","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.14579","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"pith_short_12","alias_value":"PWB6E65PH5NM","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"pith_short_16","alias_value":"PWB6E65PH5NM5XHX","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"pith_short_8","alias_value":"PWB6E65P","created_at":"2026-07-01T00:17:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PWB6E65PH5NM5XHXHKU6W2XRJP","target":"record","payload":{"canonical_record":{"source":{"id":"2603.14579","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-03-15T19:54:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9f9aca051d12c47edffbaff11b993fff204dba6a443b2c2f95ed5c925079fa38","abstract_canon_sha256":"7cbfae311269da192ca49b1b26ab5bf7413d91d777c503abda35fb13ff497719"},"schema_version":"1.0"},"canonical_sha256":"7d83e27baf3f5acedcf73aa9eb6af14bdd337a2b6d1be6bc3b635b971800a61b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T00:17:10.830971Z","signature_b64":"qqzneuqDwtVyc5CEfwwXgV93Un0YCTXJzUdtKP891BeDgUSHcjovB31ThygPjHuaBdCjwWbxcWvphdumL/+MAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d83e27baf3f5acedcf73aa9eb6af14bdd337a2b6d1be6bc3b635b971800a61b","last_reissued_at":"2026-07-01T00:17:10.830359Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T00:17:10.830359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.14579","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-01T00:17:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0PYGTOKEHWPoHKmoakY9k64O74/nsfllnGfGP8WPN0t99TlcreBj9OHck8kQReBhSLV9WbrIG/Eu/wrvxhJCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T09:31:09.124940Z"},"content_sha256":"4cf22bf3b5132db91b5f0d4bfcd734938d71448b17c741c68effbd0519061f44","schema_version":"1.0","event_id":"sha256:4cf22bf3b5132db91b5f0d4bfcd734938d71448b17c741c68effbd0519061f44"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PWB6E65PH5NM5XHXHKU6W2XRJP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Medical Image Spatial Grounding with Semantic Sampling","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Andrew Seohwan Yu, Kunio Nakamura, Mingrui Yang, Mohsen Hariri, Vipin Chaudhary, Xiaojuan Li","submitted_at":"2026-03-15T19:54:46Z","abstract_excerpt":"Vision language models (VLMs) have shown significant promise in visual grounding for images as well as videos. In medical imaging research, VLMs represent a bridge between object detection and segmentation, and report understanding and generation. However, spatial grounding of anatomical structures in the three-dimensional space of medical images poses many unique challenges. In this study, we examine image modalities, slice directions, and coordinate systems as differentiating factors for vision components of VLMs, and the use of anatomical, directional, and relational terminology as factors "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.14579","kind":"arxiv","version":3},"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/2603.14579/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":"2026-07-01T00:17:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XzGeSEoh8g2nOOv2oAw+P3CKJjcsXKJyVX8akKZDgGEsako9dR/Y6HESg7wjZVHGWv0oLcXlmqpyGRFlEoR5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T09:31:09.125515Z"},"content_sha256":"22fb2516bdb103689a035946964d9e7e96f2aae20f826c91fb1ce6a2bbf1fb9e","schema_version":"1.0","event_id":"sha256:22fb2516bdb103689a035946964d9e7e96f2aae20f826c91fb1ce6a2bbf1fb9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PWB6E65PH5NM5XHXHKU6W2XRJP/bundle.json","state_url":"https://pith.science/pith/PWB6E65PH5NM5XHXHKU6W2XRJP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PWB6E65PH5NM5XHXHKU6W2XRJP/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":"2026-08-17T09:31:09Z","links":{"resolver":"https://pith.science/pith/PWB6E65PH5NM5XHXHKU6W2XRJP","bundle":"https://pith.science/pith/PWB6E65PH5NM5XHXHKU6W2XRJP/bundle.json","state":"https://pith.science/pith/PWB6E65PH5NM5XHXHKU6W2XRJP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PWB6E65PH5NM5XHXHKU6W2XRJP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PWB6E65PH5NM5XHXHKU6W2XRJP","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":"7cbfae311269da192ca49b1b26ab5bf7413d91d777c503abda35fb13ff497719","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-03-15T19:54:46Z","title_canon_sha256":"9f9aca051d12c47edffbaff11b993fff204dba6a443b2c2f95ed5c925079fa38"},"schema_version":"1.0","source":{"id":"2603.14579","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.14579","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"arxiv_version","alias_value":"2603.14579v3","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.14579","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"pith_short_12","alias_value":"PWB6E65PH5NM","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"pith_short_16","alias_value":"PWB6E65PH5NM5XHX","created_at":"2026-07-01T00:17:10Z"},{"alias_kind":"pith_short_8","alias_value":"PWB6E65P","created_at":"2026-07-01T00:17:10Z"}],"graph_snapshots":[{"event_id":"sha256:22fb2516bdb103689a035946964d9e7e96f2aae20f826c91fb1ce6a2bbf1fb9e","target":"graph","created_at":"2026-07-01T00:17:10Z","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/2603.14579/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision language models (VLMs) have shown significant promise in visual grounding for images as well as videos. In medical imaging research, VLMs represent a bridge between object detection and segmentation, and report understanding and generation. However, spatial grounding of anatomical structures in the three-dimensional space of medical images poses many unique challenges. In this study, we examine image modalities, slice directions, and coordinate systems as differentiating factors for vision components of VLMs, and the use of anatomical, directional, and relational terminology as factors ","authors_text":"Andrew Seohwan Yu, Kunio Nakamura, Mingrui Yang, Mohsen Hariri, Vipin Chaudhary, Xiaojuan Li","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-03-15T19:54:46Z","title":"Medical Image Spatial Grounding with Semantic Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.14579","kind":"arxiv","version":3},"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":"sha256:4cf22bf3b5132db91b5f0d4bfcd734938d71448b17c741c68effbd0519061f44","target":"record","created_at":"2026-07-01T00:17:10Z","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":"7cbfae311269da192ca49b1b26ab5bf7413d91d777c503abda35fb13ff497719","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-03-15T19:54:46Z","title_canon_sha256":"9f9aca051d12c47edffbaff11b993fff204dba6a443b2c2f95ed5c925079fa38"},"schema_version":"1.0","source":{"id":"2603.14579","kind":"arxiv","version":3}},"canonical_sha256":"7d83e27baf3f5acedcf73aa9eb6af14bdd337a2b6d1be6bc3b635b971800a61b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d83e27baf3f5acedcf73aa9eb6af14bdd337a2b6d1be6bc3b635b971800a61b","first_computed_at":"2026-07-01T00:17:10.830359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T00:17:10.830359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qqzneuqDwtVyc5CEfwwXgV93Un0YCTXJzUdtKP891BeDgUSHcjovB31ThygPjHuaBdCjwWbxcWvphdumL/+MAQ==","signature_status":"signed_v1","signed_at":"2026-07-01T00:17:10.830971Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.14579","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cf22bf3b5132db91b5f0d4bfcd734938d71448b17c741c68effbd0519061f44","sha256:22fb2516bdb103689a035946964d9e7e96f2aae20f826c91fb1ce6a2bbf1fb9e"],"state_sha256":"1024d03a6688377fac1e6a62e6b20fde4a7775310c3c04939707b05318d5be9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6bo9/3JyUL2NoiHV+0Ho6Mbbry/n9o2nWs2rU2D4YvFTeTkw+KEBAwJuvqloJ75JNNu3wiyL6UH/Gc5C/l+nDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T09:31:09.130550Z","bundle_sha256":"071bd523fc6898dcd135a158b45e53a65fbbc7a3b5805d95e62df6fceb5676c7"}}