{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JGZLTIYORF7LDQIGV3XLY7JIEH","short_pith_number":"pith:JGZLTIYO","canonical_record":{"source":{"id":"2606.08046","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-06T08:18:21Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"b643c4dbdeb10251dd9a5169ba68dd9fbeedde18c878a5ce9cbccfe593085d9a","abstract_canon_sha256":"1473afcaf40eb127bbc83ec905c8e92ab81cb71f044bc974fda3a6860c79d7fe"},"schema_version":"1.0"},"canonical_sha256":"49b2b9a30e897eb1c106aeeebc7d2821fe0259905bdf11e37f602ff213d6e457","source":{"kind":"arxiv","id":"2606.08046","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08046","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08046v1","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08046","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"JGZLTIYORF7L","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"JGZLTIYORF7LDQIG","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"JGZLTIYO","created_at":"2026-06-09T01:05:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JGZLTIYORF7LDQIGV3XLY7JIEH","target":"record","payload":{"canonical_record":{"source":{"id":"2606.08046","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-06T08:18:21Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"b643c4dbdeb10251dd9a5169ba68dd9fbeedde18c878a5ce9cbccfe593085d9a","abstract_canon_sha256":"1473afcaf40eb127bbc83ec905c8e92ab81cb71f044bc974fda3a6860c79d7fe"},"schema_version":"1.0"},"canonical_sha256":"49b2b9a30e897eb1c106aeeebc7d2821fe0259905bdf11e37f602ff213d6e457","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:24.382588Z","signature_b64":"L+G1+COWJCkEYGE+ZFbNawTBYne0MSPK5tGLBjBGAJIKsI33VX+rINZET7mhjSb1sTwk4aYf3aRkCmfJ9blBAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49b2b9a30e897eb1c106aeeebc7d2821fe0259905bdf11e37f602ff213d6e457","last_reissued_at":"2026-06-09T01:05:24.381942Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:24.381942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.08046","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":"2026-06-09T01:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Id3YL3Y+jjbUvySbULgFPolyzYrvIug6xGRPypEIonA2pJ4zzBvqSqRL3pIq9nTEFmoTkKzwQWT32K9loGc5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T09:56:20.910401Z"},"content_sha256":"2d359adecf5cf26ff9a26e7b9b23ddda41abbb25e1e2d8f70936b96e95cf20d2","schema_version":"1.0","event_id":"sha256:2d359adecf5cf26ff9a26e7b9b23ddda41abbb25e1e2d8f70936b96e95cf20d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JGZLTIYORF7LDQIGV3XLY7JIEH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Dimitrios Michail, Eleni Saka, Ioannis Giannopoulos, Ioannis Papoutsis","submitted_at":"2026-06-06T08:18:21Z","abstract_excerpt":"We present OSMGraphCLIP, a CLIP-style geospatial representation model that learns global location embeddings from freely available OpenStreetMap (OSM) data. OSMGraphCLIP represents geographic environments as heterogeneous graphs of typed OSM features, preserving the topological and semantic relationships among roads, buildings, land-use regions, and points of interest. A multi-scale graph encoder captures both fine-grained local structure and broader landscape composition, and supervises a spherical-harmonics location encoder through a contrastive alignment objective. We evaluate OSMGraphCLIP "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08046","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/2606.08046/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":"2026-06-09T01:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zZZO3P5x1UsEGfMflQWsvnoIwJT5vsdnvRGO/y9I6j+k7OEOowZ1F23nNSkYD0OBMnB+OihEFK8XnCs8CjosCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T09:56:20.910778Z"},"content_sha256":"de264b8e47c7ad937cf20d35df38c3801f378001b55b055a051427eaab239193","schema_version":"1.0","event_id":"sha256:de264b8e47c7ad937cf20d35df38c3801f378001b55b055a051427eaab239193"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGZLTIYORF7LDQIGV3XLY7JIEH/bundle.json","state_url":"https://pith.science/pith/JGZLTIYORF7LDQIGV3XLY7JIEH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGZLTIYORF7LDQIGV3XLY7JIEH/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":"2026-06-30T09:56:20Z","links":{"resolver":"https://pith.science/pith/JGZLTIYORF7LDQIGV3XLY7JIEH","bundle":"https://pith.science/pith/JGZLTIYORF7LDQIGV3XLY7JIEH/bundle.json","state":"https://pith.science/pith/JGZLTIYORF7LDQIGV3XLY7JIEH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGZLTIYORF7LDQIGV3XLY7JIEH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JGZLTIYORF7LDQIGV3XLY7JIEH","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":"1473afcaf40eb127bbc83ec905c8e92ab81cb71f044bc974fda3a6860c79d7fe","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-06T08:18:21Z","title_canon_sha256":"b643c4dbdeb10251dd9a5169ba68dd9fbeedde18c878a5ce9cbccfe593085d9a"},"schema_version":"1.0","source":{"id":"2606.08046","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08046","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08046v1","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08046","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"JGZLTIYORF7L","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"JGZLTIYORF7LDQIG","created_at":"2026-06-09T01:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"JGZLTIYO","created_at":"2026-06-09T01:05:24Z"}],"graph_snapshots":[{"event_id":"sha256:de264b8e47c7ad937cf20d35df38c3801f378001b55b055a051427eaab239193","target":"graph","created_at":"2026-06-09T01:05:24Z","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/2606.08046/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present OSMGraphCLIP, a CLIP-style geospatial representation model that learns global location embeddings from freely available OpenStreetMap (OSM) data. OSMGraphCLIP represents geographic environments as heterogeneous graphs of typed OSM features, preserving the topological and semantic relationships among roads, buildings, land-use regions, and points of interest. A multi-scale graph encoder captures both fine-grained local structure and broader landscape composition, and supervises a spherical-harmonics location encoder through a contrastive alignment objective. We evaluate OSMGraphCLIP ","authors_text":"Dimitrios Michail, Eleni Saka, Ioannis Giannopoulos, Ioannis Papoutsis","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-06T08:18:21Z","title":"OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08046","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":"sha256:2d359adecf5cf26ff9a26e7b9b23ddda41abbb25e1e2d8f70936b96e95cf20d2","target":"record","created_at":"2026-06-09T01:05:24Z","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":"1473afcaf40eb127bbc83ec905c8e92ab81cb71f044bc974fda3a6860c79d7fe","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-06T08:18:21Z","title_canon_sha256":"b643c4dbdeb10251dd9a5169ba68dd9fbeedde18c878a5ce9cbccfe593085d9a"},"schema_version":"1.0","source":{"id":"2606.08046","kind":"arxiv","version":1}},"canonical_sha256":"49b2b9a30e897eb1c106aeeebc7d2821fe0259905bdf11e37f602ff213d6e457","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49b2b9a30e897eb1c106aeeebc7d2821fe0259905bdf11e37f602ff213d6e457","first_computed_at":"2026-06-09T01:05:24.381942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:24.381942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L+G1+COWJCkEYGE+ZFbNawTBYne0MSPK5tGLBjBGAJIKsI33VX+rINZET7mhjSb1sTwk4aYf3aRkCmfJ9blBAA==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:24.382588Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.08046","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d359adecf5cf26ff9a26e7b9b23ddda41abbb25e1e2d8f70936b96e95cf20d2","sha256:de264b8e47c7ad937cf20d35df38c3801f378001b55b055a051427eaab239193"],"state_sha256":"60e12296c58b86287472bdb3b888e6af28631c88c879bc4d8cb02e9f56a5c348"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xvdp1xIp55y8eVPtwz8VcgxjlbfcuWZl203rMkFM4p0ZCASlCWUAzFWFSbytVAcx65oIKyltC6jMjY1xGk9KDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T09:56:20.912767Z","bundle_sha256":"d315c41e5888099cb3aee6732a0998e7f1a5f790d3ca69c2162e8e7e9e876aae"}}