{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DK7RJLXCIZRWFBV54WZJLQ4R4K","short_pith_number":"pith:DK7RJLXC","canonical_record":{"source":{"id":"2411.09301","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T09:23:40Z","cross_cats_sorted":[],"title_canon_sha256":"6d3425bbeaa3f46298a2b83f1fd8620c4e036358e1f669b12e277f8c178a370a","abstract_canon_sha256":"bd4e1268cd164d0a6ea57c8f7c8b33f18e19fef16f88e8bead550ef2b1c86a75"},"schema_version":"1.0"},"canonical_sha256":"1abf14aee246636286bde5b295c391e29daebcc1e6d6b6a72f2efa27a82751e1","source":{"kind":"arxiv","id":"2411.09301","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09301","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09301v1","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09301","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_12","alias_value":"DK7RJLXCIZRW","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_16","alias_value":"DK7RJLXCIZRWFBV5","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_8","alias_value":"DK7RJLXC","created_at":"2026-07-05T09:35:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DK7RJLXCIZRWFBV54WZJLQ4R4K","target":"record","payload":{"canonical_record":{"source":{"id":"2411.09301","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T09:23:40Z","cross_cats_sorted":[],"title_canon_sha256":"6d3425bbeaa3f46298a2b83f1fd8620c4e036358e1f669b12e277f8c178a370a","abstract_canon_sha256":"bd4e1268cd164d0a6ea57c8f7c8b33f18e19fef16f88e8bead550ef2b1c86a75"},"schema_version":"1.0"},"canonical_sha256":"1abf14aee246636286bde5b295c391e29daebcc1e6d6b6a72f2efa27a82751e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:24.667470Z","signature_b64":"gh/xPHmOxaUHcUSFGg8qPBjkQTmHVXYXff07yGcOg3ALYCr91U3AM+Wr7KWkq54ijKFm29UMlupV6OB98TB7Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1abf14aee246636286bde5b295c391e29daebcc1e6d6b6a72f2efa27a82751e1","last_reissued_at":"2026-07-05T09:35:24.666960Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:24.666960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.09301","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":"2026-07-05T09:35:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ez0WNVQMQ55jet8qaRT7tmbtCihHAzb1QKWUZAuo2N6G/NjXgBcfTl2uSg+D4UPby5DOMxk8VRZJ6mu1pBAZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:37:32.488362Z"},"content_sha256":"2e36e63ce576995558b26de37fd25aecd8aa72c6649d71e50ce5f4c6ff87802e","schema_version":"1.0","event_id":"sha256:2e36e63ce576995558b26de37fd25aecd8aa72c6649d71e50ce5f4c6ff87802e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DK7RJLXCIZRWFBV54WZJLQ4R4K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dilxat Muhtar, Feng Gu, Guangjun He, Pengfeng Xiao, Xiaoxiang Zhu, Xueliang Zhang, Zhenshi Li","submitted_at":"2024-11-14T09:23:40Z","abstract_excerpt":"Automatically and rapidly understanding Earth's surface is fundamental to our grasp of the living environment and informed decision-making. This underscores the need for a unified system with comprehensive capabilities in analyzing Earth's surface to address a wide range of human needs. The emergence of multimodal large language models (MLLMs) has great potential in boosting the efficiency and convenience of intelligent Earth observation. These models can engage in human-like conversations, serve as unified platforms for understanding images, follow diverse instructions, and provide insightful"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09301","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/2411.09301/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":"2026-07-05T09:35:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ennOD9HE5wlOjO4qFqHpoWWquQcTJzHkS1HEsRDoyaZOtvXKtRtlJlOubSIkxgfV/eeYKvyO72iPzK9sjWUYDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:37:32.488851Z"},"content_sha256":"7ec522c6d99b0857747c2be810488e4319a16276b9366729acf108114fbcb214","schema_version":"1.0","event_id":"sha256:7ec522c6d99b0857747c2be810488e4319a16276b9366729acf108114fbcb214"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DK7RJLXCIZRWFBV54WZJLQ4R4K/bundle.json","state_url":"https://pith.science/pith/DK7RJLXCIZRWFBV54WZJLQ4R4K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DK7RJLXCIZRWFBV54WZJLQ4R4K/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":"2026-08-05T15:37:32Z","links":{"resolver":"https://pith.science/pith/DK7RJLXCIZRWFBV54WZJLQ4R4K","bundle":"https://pith.science/pith/DK7RJLXCIZRWFBV54WZJLQ4R4K/bundle.json","state":"https://pith.science/pith/DK7RJLXCIZRWFBV54WZJLQ4R4K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DK7RJLXCIZRWFBV54WZJLQ4R4K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DK7RJLXCIZRWFBV54WZJLQ4R4K","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":"bd4e1268cd164d0a6ea57c8f7c8b33f18e19fef16f88e8bead550ef2b1c86a75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T09:23:40Z","title_canon_sha256":"6d3425bbeaa3f46298a2b83f1fd8620c4e036358e1f669b12e277f8c178a370a"},"schema_version":"1.0","source":{"id":"2411.09301","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09301","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09301v1","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09301","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_12","alias_value":"DK7RJLXCIZRW","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_16","alias_value":"DK7RJLXCIZRWFBV5","created_at":"2026-07-05T09:35:24Z"},{"alias_kind":"pith_short_8","alias_value":"DK7RJLXC","created_at":"2026-07-05T09:35:24Z"}],"graph_snapshots":[{"event_id":"sha256:7ec522c6d99b0857747c2be810488e4319a16276b9366729acf108114fbcb214","target":"graph","created_at":"2026-07-05T09:35:24Z","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/2411.09301/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatically and rapidly understanding Earth's surface is fundamental to our grasp of the living environment and informed decision-making. This underscores the need for a unified system with comprehensive capabilities in analyzing Earth's surface to address a wide range of human needs. The emergence of multimodal large language models (MLLMs) has great potential in boosting the efficiency and convenience of intelligent Earth observation. These models can engage in human-like conversations, serve as unified platforms for understanding images, follow diverse instructions, and provide insightful","authors_text":"Dilxat Muhtar, Feng Gu, Guangjun He, Pengfeng Xiao, Xiaoxiang Zhu, Xueliang Zhang, Zhenshi Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T09:23:40Z","title":"LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09301","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":"sha256:2e36e63ce576995558b26de37fd25aecd8aa72c6649d71e50ce5f4c6ff87802e","target":"record","created_at":"2026-07-05T09:35:24Z","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":"bd4e1268cd164d0a6ea57c8f7c8b33f18e19fef16f88e8bead550ef2b1c86a75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T09:23:40Z","title_canon_sha256":"6d3425bbeaa3f46298a2b83f1fd8620c4e036358e1f669b12e277f8c178a370a"},"schema_version":"1.0","source":{"id":"2411.09301","kind":"arxiv","version":1}},"canonical_sha256":"1abf14aee246636286bde5b295c391e29daebcc1e6d6b6a72f2efa27a82751e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1abf14aee246636286bde5b295c391e29daebcc1e6d6b6a72f2efa27a82751e1","first_computed_at":"2026-07-05T09:35:24.666960Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:24.666960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gh/xPHmOxaUHcUSFGg8qPBjkQTmHVXYXff07yGcOg3ALYCr91U3AM+Wr7KWkq54ijKFm29UMlupV6OB98TB7Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:24.667470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09301","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e36e63ce576995558b26de37fd25aecd8aa72c6649d71e50ce5f4c6ff87802e","sha256:7ec522c6d99b0857747c2be810488e4319a16276b9366729acf108114fbcb214"],"state_sha256":"9baddafe39f76bc423fd7316af35d42c9f9757c2b546882bb603dd262d774c9d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"piXcym6V7G0ED5ijiwmfcmEzFybrCJU6dQjDVw6UUx1A0wNOcr0PkUSbfeTssHFpq6W44bslrN2xuGL5aWS5Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:37:32.492083Z","bundle_sha256":"36e2cfcbf6e8a895186974a0c8fe1668ce09bf49ab43c8b3c67b951591b2ea6d"}}