{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NBCCRQG7AKRLYEQBHR2BYABGKX","short_pith_number":"pith:NBCCRQG7","canonical_record":{"source":{"id":"2605.22877","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2026-05-20T09:04:26Z","cross_cats_sorted":[],"title_canon_sha256":"1a2669e1ad122b2e873e52a0552322d8b8ae33954a4b2d66a2502153216b3732","abstract_canon_sha256":"ca11850f9b31d202834c904cc8d89e592fef558af0fe742609fc53442bde0c63"},"schema_version":"1.0"},"canonical_sha256":"684428c0df02a2bc12013c741c002655fed98dc891d615df55eb454b74af0ff6","source":{"kind":"arxiv","id":"2605.22877","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22877","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22877v1","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22877","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_12","alias_value":"NBCCRQG7AKRL","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_16","alias_value":"NBCCRQG7AKRLYEQB","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_8","alias_value":"NBCCRQG7","created_at":"2026-05-25T02:01:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NBCCRQG7AKRLYEQBHR2BYABGKX","target":"record","payload":{"canonical_record":{"source":{"id":"2605.22877","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2026-05-20T09:04:26Z","cross_cats_sorted":[],"title_canon_sha256":"1a2669e1ad122b2e873e52a0552322d8b8ae33954a4b2d66a2502153216b3732","abstract_canon_sha256":"ca11850f9b31d202834c904cc8d89e592fef558af0fe742609fc53442bde0c63"},"schema_version":"1.0"},"canonical_sha256":"684428c0df02a2bc12013c741c002655fed98dc891d615df55eb454b74af0ff6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:28.245514Z","signature_b64":"+GN56Hf7AGYHocabLWpQh9VRLau9ZMwAhklQdhPE/Op3r6MaSVXcvNux7Xon7bGCvRNr9xWkQP0ReBJgxH9tDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"684428c0df02a2bc12013c741c002655fed98dc891d615df55eb454b74af0ff6","last_reissued_at":"2026-05-25T02:01:28.244733Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:28.244733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.22877","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":"2026-05-25T02:01:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HuK6BdXEf7wG5a8v/u9KwTSrOSXJ7F6EI0Sq3MzPvbjdGhB+CdP+t2679M22zszOMFqCVjREnH5TkpcVi5deDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T23:08:55.567686Z"},"content_sha256":"fd3ee2778996ad7cc3b5f7b89b47a5a1d02778c36b8edc7e780b25273dc1c662","schema_version":"1.0","event_id":"sha256:fd3ee2778996ad7cc3b5f7b89b47a5a1d02778c36b8edc7e780b25273dc1c662"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NBCCRQG7AKRLYEQBHR2BYABGKX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling Commuter Mobility in Stockholm: A Spatial Panel Approach Using Mobile Phone Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"econ.EM","authors_text":"John \\\"Osth, Manfred M. Fischer, Marina Toger, Umut T\\\"urk","submitted_at":"2026-05-20T09:04:26Z","abstract_excerpt":"This paper examines the sociodemographic and socioeconomic determinants of regional commuter mobility in the Greater Stockholm Area using a heteroscedastic spatial Durbin panel data model estimated via Bayesian Markov Chain Monte Carlo methods. Drawing on mobile phone-derived origin-destination flows from the MIND database, the analysis exploits unusually fine spatial and temporal granularity across a balanced panel of 675 regions over the period 2018-2023. A k-nearest neighbor spatial weight matrix (k = 18), selected via Bayesian model comparison, captures the topological structure of interre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22877","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/2605.22877/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":"2026-05-25T02:01:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8cNkv4pe+k4SxbwdN32V/s/96/0M4jHoo7Pda7E5ZtHvr51fYnbraI0PM1CrKP3MiACDfVVga1s6kRUBNZToAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T23:08:55.568351Z"},"content_sha256":"f4b3942d03a3f65ed12121ab7252b2798ccf4728ecd76c67a5d9fe5cc8dcebe4","schema_version":"1.0","event_id":"sha256:f4b3942d03a3f65ed12121ab7252b2798ccf4728ecd76c67a5d9fe5cc8dcebe4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NBCCRQG7AKRLYEQBHR2BYABGKX/bundle.json","state_url":"https://pith.science/pith/NBCCRQG7AKRLYEQBHR2BYABGKX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NBCCRQG7AKRLYEQBHR2BYABGKX/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":"2026-05-26T23:08:55Z","links":{"resolver":"https://pith.science/pith/NBCCRQG7AKRLYEQBHR2BYABGKX","bundle":"https://pith.science/pith/NBCCRQG7AKRLYEQBHR2BYABGKX/bundle.json","state":"https://pith.science/pith/NBCCRQG7AKRLYEQBHR2BYABGKX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NBCCRQG7AKRLYEQBHR2BYABGKX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NBCCRQG7AKRLYEQBHR2BYABGKX","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":"ca11850f9b31d202834c904cc8d89e592fef558af0fe742609fc53442bde0c63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2026-05-20T09:04:26Z","title_canon_sha256":"1a2669e1ad122b2e873e52a0552322d8b8ae33954a4b2d66a2502153216b3732"},"schema_version":"1.0","source":{"id":"2605.22877","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22877","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22877v1","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22877","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_12","alias_value":"NBCCRQG7AKRL","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_16","alias_value":"NBCCRQG7AKRLYEQB","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_8","alias_value":"NBCCRQG7","created_at":"2026-05-25T02:01:28Z"}],"graph_snapshots":[{"event_id":"sha256:f4b3942d03a3f65ed12121ab7252b2798ccf4728ecd76c67a5d9fe5cc8dcebe4","target":"graph","created_at":"2026-05-25T02:01:28Z","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/2605.22877/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper examines the sociodemographic and socioeconomic determinants of regional commuter mobility in the Greater Stockholm Area using a heteroscedastic spatial Durbin panel data model estimated via Bayesian Markov Chain Monte Carlo methods. Drawing on mobile phone-derived origin-destination flows from the MIND database, the analysis exploits unusually fine spatial and temporal granularity across a balanced panel of 675 regions over the period 2018-2023. A k-nearest neighbor spatial weight matrix (k = 18), selected via Bayesian model comparison, captures the topological structure of interre","authors_text":"John \\\"Osth, Manfred M. Fischer, Marina Toger, Umut T\\\"urk","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2026-05-20T09:04:26Z","title":"Modeling Commuter Mobility in Stockholm: A Spatial Panel Approach Using Mobile Phone Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22877","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:fd3ee2778996ad7cc3b5f7b89b47a5a1d02778c36b8edc7e780b25273dc1c662","target":"record","created_at":"2026-05-25T02:01:28Z","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":"ca11850f9b31d202834c904cc8d89e592fef558af0fe742609fc53442bde0c63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2026-05-20T09:04:26Z","title_canon_sha256":"1a2669e1ad122b2e873e52a0552322d8b8ae33954a4b2d66a2502153216b3732"},"schema_version":"1.0","source":{"id":"2605.22877","kind":"arxiv","version":1}},"canonical_sha256":"684428c0df02a2bc12013c741c002655fed98dc891d615df55eb454b74af0ff6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"684428c0df02a2bc12013c741c002655fed98dc891d615df55eb454b74af0ff6","first_computed_at":"2026-05-25T02:01:28.244733Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:28.244733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+GN56Hf7AGYHocabLWpQh9VRLau9ZMwAhklQdhPE/Op3r6MaSVXcvNux7Xon7bGCvRNr9xWkQP0ReBJgxH9tDQ==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:28.245514Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22877","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd3ee2778996ad7cc3b5f7b89b47a5a1d02778c36b8edc7e780b25273dc1c662","sha256:f4b3942d03a3f65ed12121ab7252b2798ccf4728ecd76c67a5d9fe5cc8dcebe4"],"state_sha256":"97bae8985f6a224de8ae4a4fe8e8f28008e60f67a8fcba5c7b5d686c4c6564ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OcnTt1xpSFfHxBThglTnyCS8VOYO04XwC5jQURUzr/sHKmKqg3dApMHbXIImxPNBmM99aoGeCoXPJq0zqfCMAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T23:08:55.571878Z","bundle_sha256":"0430569ab3a8216b46026304b4e823c6d7009480baf3884db54826b06eb6db1b"}}