{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CYTGPA7MMQCH3N2VIJZSAZ4FQ5","short_pith_number":"pith:CYTGPA7M","canonical_record":{"source":{"id":"2408.09474","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-18T13:39:43Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"7aaef2cd7f628319013a89aad687df534d33d53f1692c11e9b3efbff87ce44bd","abstract_canon_sha256":"e97b7a9d46c0a0769b2b6b8b3bbd403d0742b60b7dfa84f3c9dba059e9948b3a"},"schema_version":"1.0"},"canonical_sha256":"16266783ec64047db75542732067858751a55f49e305cd42ac47e45162a878e9","source":{"kind":"arxiv","id":"2408.09474","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09474","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09474v1","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09474","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"pith_short_12","alias_value":"CYTGPA7MMQCH","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"pith_short_16","alias_value":"CYTGPA7MMQCH3N2V","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"pith_short_8","alias_value":"CYTGPA7M","created_at":"2026-07-05T08:56:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CYTGPA7MMQCH3N2VIJZSAZ4FQ5","target":"record","payload":{"canonical_record":{"source":{"id":"2408.09474","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-18T13:39:43Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"7aaef2cd7f628319013a89aad687df534d33d53f1692c11e9b3efbff87ce44bd","abstract_canon_sha256":"e97b7a9d46c0a0769b2b6b8b3bbd403d0742b60b7dfa84f3c9dba059e9948b3a"},"schema_version":"1.0"},"canonical_sha256":"16266783ec64047db75542732067858751a55f49e305cd42ac47e45162a878e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:56:33.073295Z","signature_b64":"2cvMCHEu/TX0j9iBXMcbLLjUcSEI3k16EzAQ0bN9NdZMl4H+FK+xxJZzwQqXYKTZAb/rkha3GlK2H3XOsnQpDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16266783ec64047db75542732067858751a55f49e305cd42ac47e45162a878e9","last_reissued_at":"2026-07-05T08:56:33.072795Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:56:33.072795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.09474","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":"2026-07-05T08:56:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DddnImMpLQtK4HFsXP7tK3ofm0sHWJUIABg6cWa0rLSKycykU2fnZUPpVEpZ/ikbWc3umi6VnGX9r4FTIvRaDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T19:54:34.576658Z"},"content_sha256":"dee9ff691bf9c225652d603b81bdf5b8287c80e2f91f9ff5c7ebfd597c0f3ea5","schema_version":"1.0","event_id":"sha256:dee9ff691bf9c225652d603b81bdf5b8287c80e2f91f9ff5c7ebfd597c0f3ea5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CYTGPA7MMQCH3N2VIJZSAZ4FQ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image-Based Geolocation Using Large Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.CR","authors_text":"Gelei Deng, Jingquan Ge, Junchen Ding, Tianwei Zhang, Weisong Sun, Yang Liu, Yaowen Zheng, Yi Liu, Yuekang Li","submitted_at":"2024-08-18T13:39:43Z","abstract_excerpt":"Geolocation is now a vital aspect of modern life, offering numerous benefits but also presenting serious privacy concerns. The advent of large vision-language models (LVLMs) with advanced image-processing capabilities introduces new risks, as these models can inadvertently reveal sensitive geolocation information. This paper presents the first in-depth study analyzing the challenges posed by traditional deep learning and LVLM-based geolocation methods. Our findings reveal that LVLMs can accurately determine geolocations from images, even without explicit geographic training.\n  To address these"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09474","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/2408.09474/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":"2026-07-05T08:56:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hAgS3MV8QDnWScFMx7zGgon6Z33J96YFx/0ZHNIVwH/YgpXsE0eBDBRDfxwsB5pvNiavZL4LrkxYpdZRnISpCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T19:54:34.577669Z"},"content_sha256":"bfa965ecbe6ac0697dbf8f2e262b840cbb33978f1269ff245976c592b4122f37","schema_version":"1.0","event_id":"sha256:bfa965ecbe6ac0697dbf8f2e262b840cbb33978f1269ff245976c592b4122f37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CYTGPA7MMQCH3N2VIJZSAZ4FQ5/bundle.json","state_url":"https://pith.science/pith/CYTGPA7MMQCH3N2VIJZSAZ4FQ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CYTGPA7MMQCH3N2VIJZSAZ4FQ5/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":"2026-08-05T19:54:34Z","links":{"resolver":"https://pith.science/pith/CYTGPA7MMQCH3N2VIJZSAZ4FQ5","bundle":"https://pith.science/pith/CYTGPA7MMQCH3N2VIJZSAZ4FQ5/bundle.json","state":"https://pith.science/pith/CYTGPA7MMQCH3N2VIJZSAZ4FQ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CYTGPA7MMQCH3N2VIJZSAZ4FQ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CYTGPA7MMQCH3N2VIJZSAZ4FQ5","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":"e97b7a9d46c0a0769b2b6b8b3bbd403d0742b60b7dfa84f3c9dba059e9948b3a","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-18T13:39:43Z","title_canon_sha256":"7aaef2cd7f628319013a89aad687df534d33d53f1692c11e9b3efbff87ce44bd"},"schema_version":"1.0","source":{"id":"2408.09474","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09474","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09474v1","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09474","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"pith_short_12","alias_value":"CYTGPA7MMQCH","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"pith_short_16","alias_value":"CYTGPA7MMQCH3N2V","created_at":"2026-07-05T08:56:33Z"},{"alias_kind":"pith_short_8","alias_value":"CYTGPA7M","created_at":"2026-07-05T08:56:33Z"}],"graph_snapshots":[{"event_id":"sha256:bfa965ecbe6ac0697dbf8f2e262b840cbb33978f1269ff245976c592b4122f37","target":"graph","created_at":"2026-07-05T08:56:33Z","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/2408.09474/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Geolocation is now a vital aspect of modern life, offering numerous benefits but also presenting serious privacy concerns. The advent of large vision-language models (LVLMs) with advanced image-processing capabilities introduces new risks, as these models can inadvertently reveal sensitive geolocation information. This paper presents the first in-depth study analyzing the challenges posed by traditional deep learning and LVLM-based geolocation methods. Our findings reveal that LVLMs can accurately determine geolocations from images, even without explicit geographic training.\n  To address these","authors_text":"Gelei Deng, Jingquan Ge, Junchen Ding, Tianwei Zhang, Weisong Sun, Yang Liu, Yaowen Zheng, Yi Liu, Yuekang Li","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-18T13:39:43Z","title":"Image-Based Geolocation Using Large Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09474","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:dee9ff691bf9c225652d603b81bdf5b8287c80e2f91f9ff5c7ebfd597c0f3ea5","target":"record","created_at":"2026-07-05T08:56:33Z","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":"e97b7a9d46c0a0769b2b6b8b3bbd403d0742b60b7dfa84f3c9dba059e9948b3a","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-18T13:39:43Z","title_canon_sha256":"7aaef2cd7f628319013a89aad687df534d33d53f1692c11e9b3efbff87ce44bd"},"schema_version":"1.0","source":{"id":"2408.09474","kind":"arxiv","version":1}},"canonical_sha256":"16266783ec64047db75542732067858751a55f49e305cd42ac47e45162a878e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16266783ec64047db75542732067858751a55f49e305cd42ac47e45162a878e9","first_computed_at":"2026-07-05T08:56:33.072795Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:33.072795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2cvMCHEu/TX0j9iBXMcbLLjUcSEI3k16EzAQ0bN9NdZMl4H+FK+xxJZzwQqXYKTZAb/rkha3GlK2H3XOsnQpDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:33.073295Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.09474","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dee9ff691bf9c225652d603b81bdf5b8287c80e2f91f9ff5c7ebfd597c0f3ea5","sha256:bfa965ecbe6ac0697dbf8f2e262b840cbb33978f1269ff245976c592b4122f37"],"state_sha256":"0e9adbd0d8ed54ce09b18df4a84d7690f64c25c5a36e5b58c13b9c4e720f35b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9hDRIJ1BvcAg9iQHQvdxa7ovp8GYNeqFGsBpEJWGzlVjV/ZDgzFM/OF58uqdA1u/5tc1ZyA9/Vl99YLxD4uUDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T19:54:34.591775Z","bundle_sha256":"95aca6cd33fa2e8c1b174877c4bd8d6c7f4b19789fd2739658a374bb81224134"}}