{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6ZKLJYFZ4IMGSWQWSCMY55E52T","short_pith_number":"pith:6ZKLJYFZ","canonical_record":{"source":{"id":"2505.18178","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-15T03:44:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2c835dd57f1f4482b0f250a066eebc93f9f75421c0fa4342d49d49fe1db8a579","abstract_canon_sha256":"ebce8fe6860bb93219503e0944ee7a5d41384f976d9e4c91345d48f61ec94feb"},"schema_version":"1.0"},"canonical_sha256":"f654b4e0b9e218695a1690998ef49dd4df761c51dd6185d6499b496b315b2e27","source":{"kind":"arxiv","id":"2505.18178","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18178","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18178v1","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18178","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"pith_short_12","alias_value":"6ZKLJYFZ4IMG","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"pith_short_16","alias_value":"6ZKLJYFZ4IMGSWQW","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"pith_short_8","alias_value":"6ZKLJYFZ","created_at":"2026-07-05T11:08:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6ZKLJYFZ4IMGSWQWSCMY55E52T","target":"record","payload":{"canonical_record":{"source":{"id":"2505.18178","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-15T03:44:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2c835dd57f1f4482b0f250a066eebc93f9f75421c0fa4342d49d49fe1db8a579","abstract_canon_sha256":"ebce8fe6860bb93219503e0944ee7a5d41384f976d9e4c91345d48f61ec94feb"},"schema_version":"1.0"},"canonical_sha256":"f654b4e0b9e218695a1690998ef49dd4df761c51dd6185d6499b496b315b2e27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:42.498913Z","signature_b64":"0b0ynHK4cWHJsavR2HhoqggpYq/ffEGu+Bi2j/1N3TkukT/exCwtBkhP15+uSxezx0gYRjJ8jJJPH5gVoCsfBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f654b4e0b9e218695a1690998ef49dd4df761c51dd6185d6499b496b315b2e27","last_reissued_at":"2026-07-05T11:08:42.498453Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:42.498453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.18178","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":"2026-07-05T11:08:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YYOr3J++rYr2VjzzWUA6IaoT+73AHeAl70Q3vTDn27lY/wu5Br+NEIlleqt14C2n75DUcF+AlxNw/0FlABs+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:38:08.710368Z"},"content_sha256":"6955638b998d6191522270795e1720146f9a0370910ad303ae97069fbcd45d37","schema_version":"1.0","event_id":"sha256:6955638b998d6191522270795e1720146f9a0370910ad303ae97069fbcd45d37"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6ZKLJYFZ4IMGSWQWSCMY55E52T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Less is More: Multimodal Region Representation via Pairwise Inter-view Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Janghyeon Lee, Min Namgung, Yao-Yi Chiang, Yijun Lin","submitted_at":"2025-05-15T03:44:10Z","abstract_excerpt":"With the increasing availability of geospatial datasets, researchers have explored region representation learning (RRL) to analyze complex region characteristics. Recent RRL methods use contrastive learning (CL) to capture shared information between two modalities but often overlook task-relevant unique information specific to each modality. Such modality-specific details can explain region characteristics that shared information alone cannot capture. Bringing information factorization to RRL can address this by factorizing multimodal data into shared and unique information. However, existing "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18178","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/2505.18178/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":"2026-07-05T11:08:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OYmBgfOmvwvaxTnQAbOHEkie3h7DLr5roEHn/z53xPBGIqnUnpUUVe27vbFECmGy6hgO91ugZGTrTZu9XgegBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:38:08.710742Z"},"content_sha256":"f3d3a7a50a0a7ceda808a1eef0d140e0680f4fe1d6329432e58994040cf0c4e1","schema_version":"1.0","event_id":"sha256:f3d3a7a50a0a7ceda808a1eef0d140e0680f4fe1d6329432e58994040cf0c4e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6ZKLJYFZ4IMGSWQWSCMY55E52T/bundle.json","state_url":"https://pith.science/pith/6ZKLJYFZ4IMGSWQWSCMY55E52T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6ZKLJYFZ4IMGSWQWSCMY55E52T/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":"2026-07-06T19:38:08Z","links":{"resolver":"https://pith.science/pith/6ZKLJYFZ4IMGSWQWSCMY55E52T","bundle":"https://pith.science/pith/6ZKLJYFZ4IMGSWQWSCMY55E52T/bundle.json","state":"https://pith.science/pith/6ZKLJYFZ4IMGSWQWSCMY55E52T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6ZKLJYFZ4IMGSWQWSCMY55E52T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6ZKLJYFZ4IMGSWQWSCMY55E52T","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":"ebce8fe6860bb93219503e0944ee7a5d41384f976d9e4c91345d48f61ec94feb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-15T03:44:10Z","title_canon_sha256":"2c835dd57f1f4482b0f250a066eebc93f9f75421c0fa4342d49d49fe1db8a579"},"schema_version":"1.0","source":{"id":"2505.18178","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18178","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18178v1","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18178","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"pith_short_12","alias_value":"6ZKLJYFZ4IMG","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"pith_short_16","alias_value":"6ZKLJYFZ4IMGSWQW","created_at":"2026-07-05T11:08:42Z"},{"alias_kind":"pith_short_8","alias_value":"6ZKLJYFZ","created_at":"2026-07-05T11:08:42Z"}],"graph_snapshots":[{"event_id":"sha256:f3d3a7a50a0a7ceda808a1eef0d140e0680f4fe1d6329432e58994040cf0c4e1","target":"graph","created_at":"2026-07-05T11:08:42Z","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/2505.18178/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the increasing availability of geospatial datasets, researchers have explored region representation learning (RRL) to analyze complex region characteristics. Recent RRL methods use contrastive learning (CL) to capture shared information between two modalities but often overlook task-relevant unique information specific to each modality. Such modality-specific details can explain region characteristics that shared information alone cannot capture. Bringing information factorization to RRL can address this by factorizing multimodal data into shared and unique information. However, existing ","authors_text":"Janghyeon Lee, Min Namgung, Yao-Yi Chiang, Yijun Lin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-15T03:44:10Z","title":"Less is More: Multimodal Region Representation via Pairwise Inter-view Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18178","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":"sha256:6955638b998d6191522270795e1720146f9a0370910ad303ae97069fbcd45d37","target":"record","created_at":"2026-07-05T11:08:42Z","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":"ebce8fe6860bb93219503e0944ee7a5d41384f976d9e4c91345d48f61ec94feb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-15T03:44:10Z","title_canon_sha256":"2c835dd57f1f4482b0f250a066eebc93f9f75421c0fa4342d49d49fe1db8a579"},"schema_version":"1.0","source":{"id":"2505.18178","kind":"arxiv","version":1}},"canonical_sha256":"f654b4e0b9e218695a1690998ef49dd4df761c51dd6185d6499b496b315b2e27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f654b4e0b9e218695a1690998ef49dd4df761c51dd6185d6499b496b315b2e27","first_computed_at":"2026-07-05T11:08:42.498453Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:42.498453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0b0ynHK4cWHJsavR2HhoqggpYq/ffEGu+Bi2j/1N3TkukT/exCwtBkhP15+uSxezx0gYRjJ8jJJPH5gVoCsfBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:42.498913Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.18178","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6955638b998d6191522270795e1720146f9a0370910ad303ae97069fbcd45d37","sha256:f3d3a7a50a0a7ceda808a1eef0d140e0680f4fe1d6329432e58994040cf0c4e1"],"state_sha256":"e804769b0cdb274256404290024fdd94e55c860d6d240be299f3a06344008339"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aYNWo4sA3goPPDDSgal/vPYScUzFktL2bZV7RHNYfYTirfgIfn/9WVvdDVr5MRHtZv+8txAJcSdut/oz2JLrAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:38:08.712653Z","bundle_sha256":"1fa91c4e4be1a771a8732e5c82cbd00b89a65a312854d6ffa75abc34d5c67d2d"}}