{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XTYV37UNCSUDYN63CMBMQNYEKA","short_pith_number":"pith:XTYV37UN","canonical_record":{"source":{"id":"2607.25612","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T11:43:17Z","cross_cats_sorted":[],"title_canon_sha256":"59e55c45762b05bcbd2bcd560d237eef6eba4632f824e8e1d285d95135cfbc23","abstract_canon_sha256":"371216a5595fbf8f19abd657fd796b0d39fa6255a7b89e0d9211ee4efc5a3a7d"},"schema_version":"1.0"},"canonical_sha256":"bcf15dfe8d14a83c37db1302c83704501fc3eaeea478cb4774b3f8cdc406801b","source":{"kind":"arxiv","id":"2607.25612","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25612","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25612v1","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25612","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"pith_short_12","alias_value":"XTYV37UNCSUD","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"pith_short_16","alias_value":"XTYV37UNCSUDYN63","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"pith_short_8","alias_value":"XTYV37UN","created_at":"2026-07-29T01:25:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XTYV37UNCSUDYN63CMBMQNYEKA","target":"record","payload":{"canonical_record":{"source":{"id":"2607.25612","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T11:43:17Z","cross_cats_sorted":[],"title_canon_sha256":"59e55c45762b05bcbd2bcd560d237eef6eba4632f824e8e1d285d95135cfbc23","abstract_canon_sha256":"371216a5595fbf8f19abd657fd796b0d39fa6255a7b89e0d9211ee4efc5a3a7d"},"schema_version":"1.0"},"canonical_sha256":"bcf15dfe8d14a83c37db1302c83704501fc3eaeea478cb4774b3f8cdc406801b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:25:53.087305Z","signature_b64":"erWO2/GD+7mn5EB6XMO8i917+jjtFcBBQf6x2HSVYiwzsM2GqcF06lBdSHZUDS36rsDRbk1JYnlUyyizWKZfDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bcf15dfe8d14a83c37db1302c83704501fc3eaeea478cb4774b3f8cdc406801b","last_reissued_at":"2026-07-29T01:25:53.086436Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:25:53.086436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.25612","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":"2026-07-29T01:25:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+EIQcIOom1oQmmenGVRBSIU3ioHfb87ivL3AEb2KABucXCGtPGmMyL76oihg2UaZjAwaKxOX0D55obiozVkxAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:49:14.467569Z"},"content_sha256":"74223f23b0bcc54351aabe8dd8fce067a722fd49be555cf7a94d7b01d6ec3b7b","schema_version":"1.0","event_id":"sha256:74223f23b0bcc54351aabe8dd8fce067a722fd49be555cf7a94d7b01d6ec3b7b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XTYV37UNCSUDYN63CMBMQNYEKA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Sensor Alignment for Weather Simulations","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Aditya Mohan, Devyani Lambhate, Samsad Alam, Vaibhav Katewa, Vishal Kumar","submitted_at":"2026-07-28T11:43:17Z","abstract_excerpt":"Perception tasks for autonomous vehicles need to work satisfactorily in adverse weather conditions. Due to lack of real-world weather datasets, weather simulations are a promising alternative. To ensure simulations closely mirror real-world weather data, it's crucial that they represent the same weather characteristics, including severity and particle positioning, across different sensors. To achieve this, we propose the Reference Dataset Alignment Method (ReDAM) for weather intensity alignment in fog and Unified-weather-edit (inspired by Weather-edit[1]) for particle positioning alignment in "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25612","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/2607.25612/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":"2026-07-29T01:25:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6KxpRlUANSwpjEnwgGHjdafGWZOedKqd4RSjNTChodC4JxpF+jL9tnbOpFGna3Oz2lVOCyi6PKH4f3TjSwXtAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:49:14.468073Z"},"content_sha256":"022b0568f040fa66142645e773d4f7ed49a40365310626b5441acacbc84444a0","schema_version":"1.0","event_id":"sha256:022b0568f040fa66142645e773d4f7ed49a40365310626b5441acacbc84444a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XTYV37UNCSUDYN63CMBMQNYEKA/bundle.json","state_url":"https://pith.science/pith/XTYV37UNCSUDYN63CMBMQNYEKA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XTYV37UNCSUDYN63CMBMQNYEKA/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":"2026-08-08T09:49:14Z","links":{"resolver":"https://pith.science/pith/XTYV37UNCSUDYN63CMBMQNYEKA","bundle":"https://pith.science/pith/XTYV37UNCSUDYN63CMBMQNYEKA/bundle.json","state":"https://pith.science/pith/XTYV37UNCSUDYN63CMBMQNYEKA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XTYV37UNCSUDYN63CMBMQNYEKA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XTYV37UNCSUDYN63CMBMQNYEKA","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":"371216a5595fbf8f19abd657fd796b0d39fa6255a7b89e0d9211ee4efc5a3a7d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T11:43:17Z","title_canon_sha256":"59e55c45762b05bcbd2bcd560d237eef6eba4632f824e8e1d285d95135cfbc23"},"schema_version":"1.0","source":{"id":"2607.25612","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25612","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25612v1","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25612","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"pith_short_12","alias_value":"XTYV37UNCSUD","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"pith_short_16","alias_value":"XTYV37UNCSUDYN63","created_at":"2026-07-29T01:25:53Z"},{"alias_kind":"pith_short_8","alias_value":"XTYV37UN","created_at":"2026-07-29T01:25:53Z"}],"graph_snapshots":[{"event_id":"sha256:022b0568f040fa66142645e773d4f7ed49a40365310626b5441acacbc84444a0","target":"graph","created_at":"2026-07-29T01:25:53Z","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/2607.25612/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Perception tasks for autonomous vehicles need to work satisfactorily in adverse weather conditions. Due to lack of real-world weather datasets, weather simulations are a promising alternative. To ensure simulations closely mirror real-world weather data, it's crucial that they represent the same weather characteristics, including severity and particle positioning, across different sensors. To achieve this, we propose the Reference Dataset Alignment Method (ReDAM) for weather intensity alignment in fog and Unified-weather-edit (inspired by Weather-edit[1]) for particle positioning alignment in ","authors_text":"Aditya Mohan, Devyani Lambhate, Samsad Alam, Vaibhav Katewa, Vishal Kumar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T11:43:17Z","title":"Multi-Sensor Alignment for Weather Simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25612","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":"sha256:74223f23b0bcc54351aabe8dd8fce067a722fd49be555cf7a94d7b01d6ec3b7b","target":"record","created_at":"2026-07-29T01:25:53Z","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":"371216a5595fbf8f19abd657fd796b0d39fa6255a7b89e0d9211ee4efc5a3a7d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T11:43:17Z","title_canon_sha256":"59e55c45762b05bcbd2bcd560d237eef6eba4632f824e8e1d285d95135cfbc23"},"schema_version":"1.0","source":{"id":"2607.25612","kind":"arxiv","version":1}},"canonical_sha256":"bcf15dfe8d14a83c37db1302c83704501fc3eaeea478cb4774b3f8cdc406801b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcf15dfe8d14a83c37db1302c83704501fc3eaeea478cb4774b3f8cdc406801b","first_computed_at":"2026-07-29T01:25:53.086436Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:25:53.086436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"erWO2/GD+7mn5EB6XMO8i917+jjtFcBBQf6x2HSVYiwzsM2GqcF06lBdSHZUDS36rsDRbk1JYnlUyyizWKZfDQ==","signature_status":"signed_v1","signed_at":"2026-07-29T01:25:53.087305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25612","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74223f23b0bcc54351aabe8dd8fce067a722fd49be555cf7a94d7b01d6ec3b7b","sha256:022b0568f040fa66142645e773d4f7ed49a40365310626b5441acacbc84444a0"],"state_sha256":"82d5dfda6e64c7526a73002b41864b40a81cac06ed8e56cd070f8b5d1da140ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6y/muC6ABVavF4UlKJoght27XWYhcDWt0qEBOI6FdLu03NppsnoKgkxsowmZGSiFn49QjqeulOgiHnfszXEVBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:49:14.473860Z","bundle_sha256":"bf99f6a63c454b6354e5129ff6adfa419f4dab5844b237bf2ea3d403b3007a7d"}}