{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SADLZNZTVC6NJ6IVLZNW2RQUV2","short_pith_number":"pith:SADLZNZT","canonical_record":{"source":{"id":"2411.16020","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-11-25T00:32:20Z","cross_cats_sorted":[],"title_canon_sha256":"decd073450181396eb842808bbcbbfea444fe2bca96dd6b366171b86f66cc69a","abstract_canon_sha256":"dcff626ddd4ce764478f834a036632922c8323e645b00b163ba2a48d8db18977"},"schema_version":"1.0"},"canonical_sha256":"9006bcb733a8bcd4f9155e5b6d4614aebea5a57ee13c2b62fcf12e8b10859eb7","source":{"kind":"arxiv","id":"2411.16020","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16020","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16020v1","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16020","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"pith_short_12","alias_value":"SADLZNZTVC6N","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"pith_short_16","alias_value":"SADLZNZTVC6NJ6IV","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"pith_short_8","alias_value":"SADLZNZT","created_at":"2026-07-05T09:40:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SADLZNZTVC6NJ6IVLZNW2RQUV2","target":"record","payload":{"canonical_record":{"source":{"id":"2411.16020","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-11-25T00:32:20Z","cross_cats_sorted":[],"title_canon_sha256":"decd073450181396eb842808bbcbbfea444fe2bca96dd6b366171b86f66cc69a","abstract_canon_sha256":"dcff626ddd4ce764478f834a036632922c8323e645b00b163ba2a48d8db18977"},"schema_version":"1.0"},"canonical_sha256":"9006bcb733a8bcd4f9155e5b6d4614aebea5a57ee13c2b62fcf12e8b10859eb7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:02.701985Z","signature_b64":"4Euvdi/6QftZ278uHjIkc+118AG07qWKIU2mddWSSK/V6eJVXSu/R6YLBQ6W49y55bQLFh3UBdrknj9YVO7/AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9006bcb733a8bcd4f9155e5b6d4614aebea5a57ee13c2b62fcf12e8b10859eb7","last_reissued_at":"2026-07-05T09:40:02.701441Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:02.701441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.16020","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":"2026-07-05T09:40:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TrlUeiy1hDyssMFD3cTj19pvTJn8hhEmMgTFWSHvzAhVMq6kWAIBtukxGsQhyept6jJAYoR8qRXFBtcaG2QyAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:04:37.941934Z"},"content_sha256":"50af2ee8fe8d44cf228d1d0c28b8abc4501f8d9ab91034fe238d20d7f4aa181f","schema_version":"1.0","event_id":"sha256:50af2ee8fe8d44cf228d1d0c28b8abc4501f8d9ab91034fe238d20d7f4aa181f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SADLZNZTVC6NJ6IVLZNW2RQUV2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Huanqi Yang, Rucheng Wu, Weitao Xu","submitted_at":"2024-11-25T00:32:20Z","abstract_excerpt":"The incorporation of Large Language Models (LLMs) into smart transportation systems has paved the way for improving data management and operational efficiency. This study introduces TransCompressor, a novel framework that leverages LLMs for efficient compression and decompression of multimodal transportation sensor data. TransCompressor has undergone thorough evaluation with diverse sensor data types, including barometer, speed, and altitude measurements, across various transportation modes like buses, taxis, and MTRs. Comprehensive evaluation illustrates the effectiveness of TransCompressor i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16020","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/2411.16020/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":"2026-07-05T09:40:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R8px9/KENOA1fu2tOyCXsRd4+ncTXb+1nIrLwjYzgVJel1lgWpAUHnjS/69BgNuZVhc+apsUsP21MeNXAwUCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:04:37.942449Z"},"content_sha256":"b292eb2eb47cd48fa2be42491eb6aaf74474e888aa8cbf4edb1d62ce4e31b7d7","schema_version":"1.0","event_id":"sha256:b292eb2eb47cd48fa2be42491eb6aaf74474e888aa8cbf4edb1d62ce4e31b7d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SADLZNZTVC6NJ6IVLZNW2RQUV2/bundle.json","state_url":"https://pith.science/pith/SADLZNZTVC6NJ6IVLZNW2RQUV2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SADLZNZTVC6NJ6IVLZNW2RQUV2/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":"2026-08-13T01:04:37Z","links":{"resolver":"https://pith.science/pith/SADLZNZTVC6NJ6IVLZNW2RQUV2","bundle":"https://pith.science/pith/SADLZNZTVC6NJ6IVLZNW2RQUV2/bundle.json","state":"https://pith.science/pith/SADLZNZTVC6NJ6IVLZNW2RQUV2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SADLZNZTVC6NJ6IVLZNW2RQUV2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SADLZNZTVC6NJ6IVLZNW2RQUV2","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":"dcff626ddd4ce764478f834a036632922c8323e645b00b163ba2a48d8db18977","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-11-25T00:32:20Z","title_canon_sha256":"decd073450181396eb842808bbcbbfea444fe2bca96dd6b366171b86f66cc69a"},"schema_version":"1.0","source":{"id":"2411.16020","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16020","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16020v1","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16020","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"pith_short_12","alias_value":"SADLZNZTVC6N","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"pith_short_16","alias_value":"SADLZNZTVC6NJ6IV","created_at":"2026-07-05T09:40:02Z"},{"alias_kind":"pith_short_8","alias_value":"SADLZNZT","created_at":"2026-07-05T09:40:02Z"}],"graph_snapshots":[{"event_id":"sha256:b292eb2eb47cd48fa2be42491eb6aaf74474e888aa8cbf4edb1d62ce4e31b7d7","target":"graph","created_at":"2026-07-05T09:40:02Z","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/2411.16020/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The incorporation of Large Language Models (LLMs) into smart transportation systems has paved the way for improving data management and operational efficiency. This study introduces TransCompressor, a novel framework that leverages LLMs for efficient compression and decompression of multimodal transportation sensor data. TransCompressor has undergone thorough evaluation with diverse sensor data types, including barometer, speed, and altitude measurements, across various transportation modes like buses, taxis, and MTRs. Comprehensive evaluation illustrates the effectiveness of TransCompressor i","authors_text":"Huanqi Yang, Rucheng Wu, Weitao Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-11-25T00:32:20Z","title":"TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16020","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":"sha256:50af2ee8fe8d44cf228d1d0c28b8abc4501f8d9ab91034fe238d20d7f4aa181f","target":"record","created_at":"2026-07-05T09:40:02Z","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":"dcff626ddd4ce764478f834a036632922c8323e645b00b163ba2a48d8db18977","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-11-25T00:32:20Z","title_canon_sha256":"decd073450181396eb842808bbcbbfea444fe2bca96dd6b366171b86f66cc69a"},"schema_version":"1.0","source":{"id":"2411.16020","kind":"arxiv","version":1}},"canonical_sha256":"9006bcb733a8bcd4f9155e5b6d4614aebea5a57ee13c2b62fcf12e8b10859eb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9006bcb733a8bcd4f9155e5b6d4614aebea5a57ee13c2b62fcf12e8b10859eb7","first_computed_at":"2026-07-05T09:40:02.701441Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:02.701441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4Euvdi/6QftZ278uHjIkc+118AG07qWKIU2mddWSSK/V6eJVXSu/R6YLBQ6W49y55bQLFh3UBdrknj9YVO7/AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:02.701985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16020","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50af2ee8fe8d44cf228d1d0c28b8abc4501f8d9ab91034fe238d20d7f4aa181f","sha256:b292eb2eb47cd48fa2be42491eb6aaf74474e888aa8cbf4edb1d62ce4e31b7d7"],"state_sha256":"430fcbc88061e5faf8ba5ad6c518d759172f0fec486d0dc34ccd9d4a267ac41b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b38oBhfBf+rKAXgeU6uHgWoaCB5hOFmmBCdVHomrZ0QDCEAfSLTcu4jqXbBlmI5nWldY2ptCeytba8WOyJXKAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T01:04:37.947567Z","bundle_sha256":"6c06ed23c32b8fd77ec51d40877583e1ec85d2a397437f2cc63e2dbef6b2113d"}}