{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZE57MP73IUP2TMCFYCIL752DPL","short_pith_number":"pith:ZE57MP73","canonical_record":{"source":{"id":"2501.16254","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T17:54:31Z","cross_cats_sorted":[],"title_canon_sha256":"bcaf5324a14b104da614cd0b26d2b259cbb0d63cd7766af2d04580c4a9cae6c6","abstract_canon_sha256":"f4938a04f963c9a607ec624294878ae4a2465b0d286994afd8409955568d75ee"},"schema_version":"1.0"},"canonical_sha256":"c93bf63ffb451fa9b045c090bff7437aca1a77b0100ab8e544a88b97c6c88f81","source":{"kind":"arxiv","id":"2501.16254","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.16254","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"arxiv_version","alias_value":"2501.16254v1","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.16254","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_12","alias_value":"ZE57MP73IUP2","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_16","alias_value":"ZE57MP73IUP2TMCF","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_8","alias_value":"ZE57MP73","created_at":"2026-07-05T10:05:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZE57MP73IUP2TMCFYCIL752DPL","target":"record","payload":{"canonical_record":{"source":{"id":"2501.16254","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T17:54:31Z","cross_cats_sorted":[],"title_canon_sha256":"bcaf5324a14b104da614cd0b26d2b259cbb0d63cd7766af2d04580c4a9cae6c6","abstract_canon_sha256":"f4938a04f963c9a607ec624294878ae4a2465b0d286994afd8409955568d75ee"},"schema_version":"1.0"},"canonical_sha256":"c93bf63ffb451fa9b045c090bff7437aca1a77b0100ab8e544a88b97c6c88f81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:05:57.568229Z","signature_b64":"SFPOSU+dRMxvVIjOyFsWf8AG8yM4cqgPb/ZXpTdaEbclfJR1S92RkAyVb9GOeeyDDeYOKIqTsNLck9JHDDlCCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c93bf63ffb451fa9b045c090bff7437aca1a77b0100ab8e544a88b97c6c88f81","last_reissued_at":"2026-07-05T10:05:57.567661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:05:57.567661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.16254","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":"2026-07-05T10:05:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kqKuMEHBxAdlw+fpcj3RCoZcBNnhr5zPck1EwgqDEVXHk644FV+oiAWV9fN/z3vIVjHA/wnwkHguXakZtg9KDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T23:49:17.744332Z"},"content_sha256":"00f40c46afd9a4980e1626943d9f6fe82547a6d100319d379b2cfe61703e6500","schema_version":"1.0","event_id":"sha256:00f40c46afd9a4980e1626943d9f6fe82547a6d100319d379b2cfe61703e6500"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZE57MP73IUP2TMCFYCIL752DPL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Agent Geospatial Copilots for Remote Sensing Workflows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Andreas Karatzas, Chaehong Lee, Dimitrios Stamoulis, Fuxun Yu, Heming Liao, Iraklis Anagnostopoulos, Michael Fore, Ruopu Li, Varatheepan Paramanayakam, Yanan Jian","submitted_at":"2025-01-27T17:54:31Z","abstract_excerpt":"We present GeoLLM-Squad, a geospatial Copilot that introduces the novel multi-agent paradigm to remote sensing (RS) workflows. Unlike existing single-agent approaches that rely on monolithic large language models (LLM), GeoLLM-Squad separates agentic orchestration from geospatial task-solving, by delegating RS tasks to specialized sub-agents. Built on the open-source AutoGen and GeoLLM-Engine frameworks, our work enables the modular integration of diverse applications, spanning urban monitoring, forestry protection, climate analysis, and agriculture studies. Our results demonstrate that while "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.16254","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/2501.16254/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":"2026-07-05T10:05:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"04iq/IJv4V5sr7mgsuD2hXleQfp/+UwUoGKu/2dRUVGsNPM8+sbRBvZLiEfG6OXGL4SMTcdOjdQl+VCiWjSpBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T23:49:17.744709Z"},"content_sha256":"2ababe2a1cc3d5e4fcd5abdb85551fe82e2b04f4d0979fa45005477d3d61a349","schema_version":"1.0","event_id":"sha256:2ababe2a1cc3d5e4fcd5abdb85551fe82e2b04f4d0979fa45005477d3d61a349"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZE57MP73IUP2TMCFYCIL752DPL/bundle.json","state_url":"https://pith.science/pith/ZE57MP73IUP2TMCFYCIL752DPL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZE57MP73IUP2TMCFYCIL752DPL/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":"2026-07-24T23:49:17Z","links":{"resolver":"https://pith.science/pith/ZE57MP73IUP2TMCFYCIL752DPL","bundle":"https://pith.science/pith/ZE57MP73IUP2TMCFYCIL752DPL/bundle.json","state":"https://pith.science/pith/ZE57MP73IUP2TMCFYCIL752DPL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZE57MP73IUP2TMCFYCIL752DPL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZE57MP73IUP2TMCFYCIL752DPL","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":"f4938a04f963c9a607ec624294878ae4a2465b0d286994afd8409955568d75ee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T17:54:31Z","title_canon_sha256":"bcaf5324a14b104da614cd0b26d2b259cbb0d63cd7766af2d04580c4a9cae6c6"},"schema_version":"1.0","source":{"id":"2501.16254","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.16254","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"arxiv_version","alias_value":"2501.16254v1","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.16254","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_12","alias_value":"ZE57MP73IUP2","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_16","alias_value":"ZE57MP73IUP2TMCF","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_8","alias_value":"ZE57MP73","created_at":"2026-07-05T10:05:57Z"}],"graph_snapshots":[{"event_id":"sha256:2ababe2a1cc3d5e4fcd5abdb85551fe82e2b04f4d0979fa45005477d3d61a349","target":"graph","created_at":"2026-07-05T10:05:57Z","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/2501.16254/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present GeoLLM-Squad, a geospatial Copilot that introduces the novel multi-agent paradigm to remote sensing (RS) workflows. Unlike existing single-agent approaches that rely on monolithic large language models (LLM), GeoLLM-Squad separates agentic orchestration from geospatial task-solving, by delegating RS tasks to specialized sub-agents. Built on the open-source AutoGen and GeoLLM-Engine frameworks, our work enables the modular integration of diverse applications, spanning urban monitoring, forestry protection, climate analysis, and agriculture studies. Our results demonstrate that while ","authors_text":"Andreas Karatzas, Chaehong Lee, Dimitrios Stamoulis, Fuxun Yu, Heming Liao, Iraklis Anagnostopoulos, Michael Fore, Ruopu Li, Varatheepan Paramanayakam, Yanan Jian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T17:54:31Z","title":"Multi-Agent Geospatial Copilots for Remote Sensing Workflows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.16254","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":"sha256:00f40c46afd9a4980e1626943d9f6fe82547a6d100319d379b2cfe61703e6500","target":"record","created_at":"2026-07-05T10:05:57Z","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":"f4938a04f963c9a607ec624294878ae4a2465b0d286994afd8409955568d75ee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T17:54:31Z","title_canon_sha256":"bcaf5324a14b104da614cd0b26d2b259cbb0d63cd7766af2d04580c4a9cae6c6"},"schema_version":"1.0","source":{"id":"2501.16254","kind":"arxiv","version":1}},"canonical_sha256":"c93bf63ffb451fa9b045c090bff7437aca1a77b0100ab8e544a88b97c6c88f81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c93bf63ffb451fa9b045c090bff7437aca1a77b0100ab8e544a88b97c6c88f81","first_computed_at":"2026-07-05T10:05:57.567661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:57.567661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SFPOSU+dRMxvVIjOyFsWf8AG8yM4cqgPb/ZXpTdaEbclfJR1S92RkAyVb9GOeeyDDeYOKIqTsNLck9JHDDlCCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:57.568229Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.16254","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00f40c46afd9a4980e1626943d9f6fe82547a6d100319d379b2cfe61703e6500","sha256:2ababe2a1cc3d5e4fcd5abdb85551fe82e2b04f4d0979fa45005477d3d61a349"],"state_sha256":"7559b502691d29d31cb2a966b35ce473d85a1765175394e4ce6fc0cce34d680f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ztPDH5bYk3NzM0SC1iVMhX7m9xdmGNjTfajhdg0WXp8V3uNx8m2I4MD+0ELmo/LiRp1dV61K3+OkkWvtpNEBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T23:49:17.746836Z","bundle_sha256":"6b060853d7764c23813d58f88beec080e3d1810bf8fc1822257b979c5ab29a97"}}