{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RBTRNNYVY62HGKKOMYR3B3INZ4","short_pith_number":"pith:RBTRNNYV","canonical_record":{"source":{"id":"2606.00042","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T15:39:53Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"d164bee2823df5c84fd5294df019d90cb30b093d58023569d521226b23cd8410","abstract_canon_sha256":"33bebf30008b0f32abfe03ecc5848ef9913538024747112200afa89fd1d02b63"},"schema_version":"1.0"},"canonical_sha256":"886716b715c7b473294e6623b0ed0dcf194b391237bd7278a3edee93e54a7f4d","source":{"kind":"arxiv","id":"2606.00042","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00042","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00042v1","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00042","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"pith_short_12","alias_value":"RBTRNNYVY62H","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"pith_short_16","alias_value":"RBTRNNYVY62HGKKO","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"pith_short_8","alias_value":"RBTRNNYV","created_at":"2026-06-02T00:03:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RBTRNNYVY62HGKKOMYR3B3INZ4","target":"record","payload":{"canonical_record":{"source":{"id":"2606.00042","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T15:39:53Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"d164bee2823df5c84fd5294df019d90cb30b093d58023569d521226b23cd8410","abstract_canon_sha256":"33bebf30008b0f32abfe03ecc5848ef9913538024747112200afa89fd1d02b63"},"schema_version":"1.0"},"canonical_sha256":"886716b715c7b473294e6623b0ed0dcf194b391237bd7278a3edee93e54a7f4d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T00:03:13.118068Z","signature_b64":"Z7w/BH3LYOpB/GaJ6YbG4t/+E4yuCgjJ6/RE/XhVSdmI9zJZqscXydYlqWeShgEuM0TNn5SQMER3q++GxDpXCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"886716b715c7b473294e6623b0ed0dcf194b391237bd7278a3edee93e54a7f4d","last_reissued_at":"2026-06-02T00:03:13.117494Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T00:03:13.117494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.00042","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":"2026-06-02T00:03:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e+FIeVWgRnQgXQ6x2haYg7BK/X7l3+sF7k0cadcC5yBVJ+UnGyk4MX2SJo7E3qFVP75uTgEE401LSn29fKv7AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:37:16.301130Z"},"content_sha256":"0f0ebe17b57ba76daf12ed9e67a77eee01275a99a8ec7b956709f4edcf832d25","schema_version":"1.0","event_id":"sha256:0f0ebe17b57ba76daf12ed9e67a77eee01275a99a8ec7b956709f4edcf832d25"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RBTRNNYVY62HGKKOMYR3B3INZ4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TransResAI: A Compound AI System for Coastal Transportation Resilience","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"cs.CY","authors_text":"Chenyu Yan, Kun Xie, Qingwen Pu","submitted_at":"2026-04-28T15:39:53Z","abstract_excerpt":"Coastal flooding increasingly threatens transportation infrastructure, yet the analytical tools needed for resilience management remain difficult for many non-specialist practitioners to use. This study presents TransResAI, a compound AI system that supports analysis of flood-aware transportation resilience via natural-language interactions. The system integrates a locally deployable Large Language Model (LLM) with modules for task decomposition, secure code generation, geospatial analysis, retrieval-augmented generation, and interactive map rendering. TransResAI links MATSim flood-scenario si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00042","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/2606.00042/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":"2026-06-02T00:03:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mwHw7YTtXdOsZq9EpeBAc+go4Vg5KruJcLfXuhpvZz0D4hX9/nXNK4icMcs5bjWligEyjojAOJk8N8P8f4iWBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:37:16.301553Z"},"content_sha256":"64b27ba0e301eda1b186cefe5de8f28a8daff044e6a86f8038111bf61e89b404","schema_version":"1.0","event_id":"sha256:64b27ba0e301eda1b186cefe5de8f28a8daff044e6a86f8038111bf61e89b404"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RBTRNNYVY62HGKKOMYR3B3INZ4/bundle.json","state_url":"https://pith.science/pith/RBTRNNYVY62HGKKOMYR3B3INZ4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RBTRNNYVY62HGKKOMYR3B3INZ4/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":"2026-06-04T15:37:16Z","links":{"resolver":"https://pith.science/pith/RBTRNNYVY62HGKKOMYR3B3INZ4","bundle":"https://pith.science/pith/RBTRNNYVY62HGKKOMYR3B3INZ4/bundle.json","state":"https://pith.science/pith/RBTRNNYVY62HGKKOMYR3B3INZ4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RBTRNNYVY62HGKKOMYR3B3INZ4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RBTRNNYVY62HGKKOMYR3B3INZ4","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":"33bebf30008b0f32abfe03ecc5848ef9913538024747112200afa89fd1d02b63","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T15:39:53Z","title_canon_sha256":"d164bee2823df5c84fd5294df019d90cb30b093d58023569d521226b23cd8410"},"schema_version":"1.0","source":{"id":"2606.00042","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00042","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00042v1","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00042","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"pith_short_12","alias_value":"RBTRNNYVY62H","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"pith_short_16","alias_value":"RBTRNNYVY62HGKKO","created_at":"2026-06-02T00:03:13Z"},{"alias_kind":"pith_short_8","alias_value":"RBTRNNYV","created_at":"2026-06-02T00:03:13Z"}],"graph_snapshots":[{"event_id":"sha256:64b27ba0e301eda1b186cefe5de8f28a8daff044e6a86f8038111bf61e89b404","target":"graph","created_at":"2026-06-02T00:03:13Z","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/2606.00042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Coastal flooding increasingly threatens transportation infrastructure, yet the analytical tools needed for resilience management remain difficult for many non-specialist practitioners to use. This study presents TransResAI, a compound AI system that supports analysis of flood-aware transportation resilience via natural-language interactions. The system integrates a locally deployable Large Language Model (LLM) with modules for task decomposition, secure code generation, geospatial analysis, retrieval-augmented generation, and interactive map rendering. TransResAI links MATSim flood-scenario si","authors_text":"Chenyu Yan, Kun Xie, Qingwen Pu","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T15:39:53Z","title":"TransResAI: A Compound AI System for Coastal Transportation Resilience"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00042","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":"sha256:0f0ebe17b57ba76daf12ed9e67a77eee01275a99a8ec7b956709f4edcf832d25","target":"record","created_at":"2026-06-02T00:03:13Z","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":"33bebf30008b0f32abfe03ecc5848ef9913538024747112200afa89fd1d02b63","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T15:39:53Z","title_canon_sha256":"d164bee2823df5c84fd5294df019d90cb30b093d58023569d521226b23cd8410"},"schema_version":"1.0","source":{"id":"2606.00042","kind":"arxiv","version":1}},"canonical_sha256":"886716b715c7b473294e6623b0ed0dcf194b391237bd7278a3edee93e54a7f4d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"886716b715c7b473294e6623b0ed0dcf194b391237bd7278a3edee93e54a7f4d","first_computed_at":"2026-06-02T00:03:13.117494Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T00:03:13.117494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z7w/BH3LYOpB/GaJ6YbG4t/+E4yuCgjJ6/RE/XhVSdmI9zJZqscXydYlqWeShgEuM0TNn5SQMER3q++GxDpXCg==","signature_status":"signed_v1","signed_at":"2026-06-02T00:03:13.118068Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00042","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f0ebe17b57ba76daf12ed9e67a77eee01275a99a8ec7b956709f4edcf832d25","sha256:64b27ba0e301eda1b186cefe5de8f28a8daff044e6a86f8038111bf61e89b404"],"state_sha256":"9aefb249457651a13acb5ffdf67ab6ef05951b266a3ca30c5cda2752f5787fd6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dg+535h1+R1njfa0DFGEfpeMvrajZaKHaTVMHQxrw4LtUPSBEsTHpTFCzjN8iJ9/NT3tY3f7zcz+rUEue9F2AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T15:37:16.303798Z","bundle_sha256":"c0bee67305512ae2e9ec712150bd252e8bce1fde119fcd1bdacc5c675e406908"}}