{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VSH4J6ZOCR4BYSK53ZGFQLIXRI","short_pith_number":"pith:VSH4J6ZO","canonical_record":{"source":{"id":"2506.07582","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-06-09T09:26:06Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"cd54c9073a32a9d47dd26c4ec10d3cdeed10d549bc522b4f6c15bf1e0248e0d2","abstract_canon_sha256":"0a5d6508ea65d49a7c7f65ffe23ae058e33aa1562c2a081750bd9e0b55458c87"},"schema_version":"1.0"},"canonical_sha256":"ac8fc4fb2e14781c495dde4c582d178a1ae9c406214e5d4a0b674f529fbe1c53","source":{"kind":"arxiv","id":"2506.07582","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07582","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07582v1","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07582","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"pith_short_12","alias_value":"VSH4J6ZOCR4B","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"pith_short_16","alias_value":"VSH4J6ZOCR4BYSK5","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"pith_short_8","alias_value":"VSH4J6ZO","created_at":"2026-07-05T11:18:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VSH4J6ZOCR4BYSK53ZGFQLIXRI","target":"record","payload":{"canonical_record":{"source":{"id":"2506.07582","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-06-09T09:26:06Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"cd54c9073a32a9d47dd26c4ec10d3cdeed10d549bc522b4f6c15bf1e0248e0d2","abstract_canon_sha256":"0a5d6508ea65d49a7c7f65ffe23ae058e33aa1562c2a081750bd9e0b55458c87"},"schema_version":"1.0"},"canonical_sha256":"ac8fc4fb2e14781c495dde4c582d178a1ae9c406214e5d4a0b674f529fbe1c53","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:29.810444Z","signature_b64":"SYWvuNJ+U3hSfPwa7GVBEErlFJl/z/YfCrHN6UMLGsjTJlaixJwqlCNMZIOndp8DV7J3glUsTyF7EbBLNtILBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac8fc4fb2e14781c495dde4c582d178a1ae9c406214e5d4a0b674f529fbe1c53","last_reissued_at":"2026-07-05T11:18:29.809997Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:29.809997Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.07582","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":"2026-07-05T11:18:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HNk3CZS5pW8Nb3q97VkidL4t3qA8WJPHRgVY1DsWA00eAWtQ0zFiFKk1Z2fCnlu4JTYgrTIeY8p8ABePsZklAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:08:16.316361Z"},"content_sha256":"d3fe7a6db46b1cacfe4d4e5e16029e5d50c425ee12acf275322151e85d5c6e2c","schema_version":"1.0","event_id":"sha256:d3fe7a6db46b1cacfe4d4e5e16029e5d50c425ee12acf275322151e85d5c6e2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VSH4J6ZOCR4BYSK53ZGFQLIXRI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scalable Spatiotemporal Modeling for Bicycle Count Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Alexandra M. Schmidt, Aurelie Labbe, Luis F. Miranda-Moreno, Pratheepa Jeganathan, Rishikesh Yadav","submitted_at":"2025-06-09T09:26:06Z","abstract_excerpt":"We propose a novel sparse spatiotemporal dynamic generalized linear model for efficient inference and prediction of bicycle count data. Assuming Poisson distributed counts with spacetime-varying rates, we model the log-rate using spatiotemporal intercepts, dynamic temporal covariates, and site-specific effects additively. Spatiotemporal dependence is modeled using a spacetime-varying intercept that evolves smoothly over time with spatially correlated errors, and coefficients of some temporal covariates including seasonal harmonics also evolve dynamically over time. Inference is performed follo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07582","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/2506.07582/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":"2026-07-05T11:18:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"821rntyGBEvo/mI/DTZtxJDvtLc2lmM2cO/Cxc5ePFLB0JI8AZ/XN644+nxKmRIpB7EqaSyG5NkGXYkaRiKOBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:08:16.316873Z"},"content_sha256":"6376871f15fc6bc57f44d366667fdef44148866a874bc3a2dfc60b650eb0e279","schema_version":"1.0","event_id":"sha256:6376871f15fc6bc57f44d366667fdef44148866a874bc3a2dfc60b650eb0e279"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VSH4J6ZOCR4BYSK53ZGFQLIXRI/bundle.json","state_url":"https://pith.science/pith/VSH4J6ZOCR4BYSK53ZGFQLIXRI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VSH4J6ZOCR4BYSK53ZGFQLIXRI/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":"2026-08-08T10:08:16Z","links":{"resolver":"https://pith.science/pith/VSH4J6ZOCR4BYSK53ZGFQLIXRI","bundle":"https://pith.science/pith/VSH4J6ZOCR4BYSK53ZGFQLIXRI/bundle.json","state":"https://pith.science/pith/VSH4J6ZOCR4BYSK53ZGFQLIXRI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VSH4J6ZOCR4BYSK53ZGFQLIXRI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VSH4J6ZOCR4BYSK53ZGFQLIXRI","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":"0a5d6508ea65d49a7c7f65ffe23ae058e33aa1562c2a081750bd9e0b55458c87","cross_cats_sorted":["stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-06-09T09:26:06Z","title_canon_sha256":"cd54c9073a32a9d47dd26c4ec10d3cdeed10d549bc522b4f6c15bf1e0248e0d2"},"schema_version":"1.0","source":{"id":"2506.07582","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07582","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07582v1","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07582","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"pith_short_12","alias_value":"VSH4J6ZOCR4B","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"pith_short_16","alias_value":"VSH4J6ZOCR4BYSK5","created_at":"2026-07-05T11:18:29Z"},{"alias_kind":"pith_short_8","alias_value":"VSH4J6ZO","created_at":"2026-07-05T11:18:29Z"}],"graph_snapshots":[{"event_id":"sha256:6376871f15fc6bc57f44d366667fdef44148866a874bc3a2dfc60b650eb0e279","target":"graph","created_at":"2026-07-05T11:18:29Z","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/2506.07582/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel sparse spatiotemporal dynamic generalized linear model for efficient inference and prediction of bicycle count data. Assuming Poisson distributed counts with spacetime-varying rates, we model the log-rate using spatiotemporal intercepts, dynamic temporal covariates, and site-specific effects additively. Spatiotemporal dependence is modeled using a spacetime-varying intercept that evolves smoothly over time with spatially correlated errors, and coefficients of some temporal covariates including seasonal harmonics also evolve dynamically over time. Inference is performed follo","authors_text":"Alexandra M. Schmidt, Aurelie Labbe, Luis F. Miranda-Moreno, Pratheepa Jeganathan, Rishikesh Yadav","cross_cats":["stat.AP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-06-09T09:26:06Z","title":"Scalable Spatiotemporal Modeling for Bicycle Count Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07582","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:d3fe7a6db46b1cacfe4d4e5e16029e5d50c425ee12acf275322151e85d5c6e2c","target":"record","created_at":"2026-07-05T11:18:29Z","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":"0a5d6508ea65d49a7c7f65ffe23ae058e33aa1562c2a081750bd9e0b55458c87","cross_cats_sorted":["stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-06-09T09:26:06Z","title_canon_sha256":"cd54c9073a32a9d47dd26c4ec10d3cdeed10d549bc522b4f6c15bf1e0248e0d2"},"schema_version":"1.0","source":{"id":"2506.07582","kind":"arxiv","version":1}},"canonical_sha256":"ac8fc4fb2e14781c495dde4c582d178a1ae9c406214e5d4a0b674f529fbe1c53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac8fc4fb2e14781c495dde4c582d178a1ae9c406214e5d4a0b674f529fbe1c53","first_computed_at":"2026-07-05T11:18:29.809997Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:29.809997Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SYWvuNJ+U3hSfPwa7GVBEErlFJl/z/YfCrHN6UMLGsjTJlaixJwqlCNMZIOndp8DV7J3glUsTyF7EbBLNtILBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:29.810444Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.07582","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3fe7a6db46b1cacfe4d4e5e16029e5d50c425ee12acf275322151e85d5c6e2c","sha256:6376871f15fc6bc57f44d366667fdef44148866a874bc3a2dfc60b650eb0e279"],"state_sha256":"93c389c10bdbb302cc3cdbd68f395f46ed2cabc3b5a9d43fd53ae4679bbe74d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KnJU+5iBUWdLyvwYzC+3zA5vAH8CruDn1Yz03n/6f+ap6ZzaDKSnA4IQ+KrIWoLPrjpg4HmZp6LcOUeRhzw3AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T10:08:16.321972Z","bundle_sha256":"d7133f0c793a0655e2154916478b05c4da5c36930c19a09e3348df395f32e6c8"}}