{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:R73UKXFGGTJFWA256BTR42W4SH","short_pith_number":"pith:R73UKXFG","canonical_record":{"source":{"id":"2605.21311","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:39:06Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2321a7784042607d83c22b9988bfdf94c9ea6f837a6b6cd8b60a175aa31748ba","abstract_canon_sha256":"9322de40ba7780eb13047ed3066696b7c452bd41ec8e68bca846a7d4620e08e0"},"schema_version":"1.0"},"canonical_sha256":"8ff7455ca634d25b035df0671e6adc91f9542d68d1f956aa6b566480193605e2","source":{"kind":"arxiv","id":"2605.21311","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21311","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21311v1","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21311","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"pith_short_12","alias_value":"R73UKXFGGTJF","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"pith_short_16","alias_value":"R73UKXFGGTJFWA25","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"pith_short_8","alias_value":"R73UKXFG","created_at":"2026-05-21T02:05:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:R73UKXFGGTJFWA256BTR42W4SH","target":"record","payload":{"canonical_record":{"source":{"id":"2605.21311","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:39:06Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2321a7784042607d83c22b9988bfdf94c9ea6f837a6b6cd8b60a175aa31748ba","abstract_canon_sha256":"9322de40ba7780eb13047ed3066696b7c452bd41ec8e68bca846a7d4620e08e0"},"schema_version":"1.0"},"canonical_sha256":"8ff7455ca634d25b035df0671e6adc91f9542d68d1f956aa6b566480193605e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T02:05:28.629931Z","signature_b64":"BEmMdRYOsZfan+EV4nSVrLmyzbkmWMgOH+PZ+MPU2PHkwmFPHJuU6keO5xUytPsEK09JuS13+Fj5rFSwAcUOCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ff7455ca634d25b035df0671e6adc91f9542d68d1f956aa6b566480193605e2","last_reissued_at":"2026-05-21T02:05:28.629141Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T02:05:28.629141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.21311","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":"2026-05-21T02:05:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Z+dFU3kNSXsXbkZtT0Qxdv06b8bzIX2b+z1JopxjGVRhzIZq7jWA9bNimunhnXR8Qgb7ycWL/OtxuxdOqLyAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T08:28:43.954514Z"},"content_sha256":"d824979104b973596a3648402bd5c06b4b26d4c40222dea00905fa6dc227f063","schema_version":"1.0","event_id":"sha256:d824979104b973596a3648402bd5c06b4b26d4c40222dea00905fa6dc227f063"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:R73UKXFGGTJFWA256BTR42W4SH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Bibek Poudel, Kevin Heaslip, Lei Zhu, Sai Swaminathan, Weizi Li","submitted_at":"2026-05-20T15:39:06Z","abstract_excerpt":"Modern vision systems can detect, track, and forecast urban actors at scale, yet translating perception outputs to urban design remains limited. We introduce DeCoR, a two-stage reinforcement learning framework that leverages flow observations to co-optimize crosswalk layout and network-level signal control. The design stage encodes the pedestrian network as a graph and learns a generative policy that parameterizes a Gaussian mixture model over crosswalk location and width, from which new crosswalks are sampled. For each layout, a shared control policy learns adaptive signal timings to minimize"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21311","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/2605.21311/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":"2026-05-21T02:05:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0HuHFX4sXY9boA1rCuwzF8KvKugUKg0C/Z4B7NUXS33VUFX9j9XMX96idd8hbOrlhQ+dkLFmfUtr8Dv1V6KwDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T08:28:43.955242Z"},"content_sha256":"684ebf92c9a5432ce08bb37cc0985b95ed52e60b827bf27f75aa5c272f400d18","schema_version":"1.0","event_id":"sha256:684ebf92c9a5432ce08bb37cc0985b95ed52e60b827bf27f75aa5c272f400d18"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:R73UKXFGGTJFWA256BTR42W4SH","target":"integrity","payload":{"note":"URL 'https://sumo' returned status transport error (transport error: [Errno -3] Temporary failure in name resolution) at last check.","snippet":null,"arxiv_id":"2605.21311","detector":"external_links","evidence":{"url":"https://sumo","final_url":null,"host_kind":"website","status_code":0,"status_text":"transport error: [Errno -3] Temporary failure in name resolution","verdict_class":"incontrovertible","checked_at_unix":1779406548.699389},"severity":"advisory","ref_index":null,"audited_at":"2026-05-21T23:35:48.799738Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#external_links","external_url":"https://sumo","finding_type":"dead_url","evidence_hash":"3c7a25ab67ca7c428a25b866de345f780733655d132382826676c1280dec1a91","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":6103,"payload_sha256":"b90c591f45569c9b0436b9e9b260bafcaf37e8629562651d1b9f3437e1470a29","signature_b64":"wnF7PSEzU2IevJVvyOOe+1Sathh90Mn8Cjxy7d5JPoa2y8D0bJrHDGgnnMkv459tLivB1G3YUZMoRkQTCQXUDQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-21T23:40:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lJVv8dmsNaVNlux3L3EedA/8hozBkq0mmJDEalzxNpK+mYlW0j3fzlNS4/90SkIZx+03W8JxpyjF4/6yqyMcAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T08:28:43.956772Z"},"content_sha256":"4a92ead19a2198f17e74171225ebbff6dd349cba501fd2d7c670c7094bba93c4","schema_version":"1.0","event_id":"sha256:4a92ead19a2198f17e74171225ebbff6dd349cba501fd2d7c670c7094bba93c4"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:R73UKXFGGTJFWA256BTR42W4SH","target":"integrity","payload":{"note":"URL 'https://sumo' returned status transport error (transport error: [Errno -3] Temporary failure in name resolution) at last check.","snippet":null,"arxiv_id":"2605.21311","detector":"external_links","evidence":{"url":"https://sumo","final_url":null,"host_kind":"website","status_code":0,"status_text":"transport error: [Errno -3] Temporary failure in name resolution","verdict_class":"incontrovertible","checked_at_unix":1779363347.527889},"severity":"advisory","ref_index":null,"audited_at":"2026-05-21T11:35:47.665783Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#external_links","external_url":"https://sumo","finding_type":"dead_url","evidence_hash":"45805bb1496aadfcc458c1cf1a721d9669ba6b2b186991fcf7d56fc07be24b1b","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":5937,"payload_sha256":"da7c5edd9a532d9f308683e47aeff6f849d2d8014663cf27695f0e64af7149d6","signature_b64":"dcMuMZLWpRrYVP0YcJhZxiFI4k8+lEUISCOBlY5Un18dx/bRnUSXehpE0bq/ZsCe/saz42YjTKjqx97yVdhWAg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-21T11:39:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ReF02nsPAklT/dQjz7OOM4lEaH+Q/Kl9VoRRN2HJy76QqZS6iu5Jro58AhfwijNGArFVbmFKJN/VdRRxL2XQCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T08:28:43.957088Z"},"content_sha256":"5079121d791017af509e558c75db6d911bf52b6443ac9168f8fa1ae19cd86eb8","schema_version":"1.0","event_id":"sha256:5079121d791017af509e558c75db6d911bf52b6443ac9168f8fa1ae19cd86eb8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R73UKXFGGTJFWA256BTR42W4SH/bundle.json","state_url":"https://pith.science/pith/R73UKXFGGTJFWA256BTR42W4SH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R73UKXFGGTJFWA256BTR42W4SH/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":"2026-05-23T08:28:43Z","links":{"resolver":"https://pith.science/pith/R73UKXFGGTJFWA256BTR42W4SH","bundle":"https://pith.science/pith/R73UKXFGGTJFWA256BTR42W4SH/bundle.json","state":"https://pith.science/pith/R73UKXFGGTJFWA256BTR42W4SH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R73UKXFGGTJFWA256BTR42W4SH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:R73UKXFGGTJFWA256BTR42W4SH","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9322de40ba7780eb13047ed3066696b7c452bd41ec8e68bca846a7d4620e08e0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:39:06Z","title_canon_sha256":"2321a7784042607d83c22b9988bfdf94c9ea6f837a6b6cd8b60a175aa31748ba"},"schema_version":"1.0","source":{"id":"2605.21311","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21311","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21311v1","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21311","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"pith_short_12","alias_value":"R73UKXFGGTJF","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"pith_short_16","alias_value":"R73UKXFGGTJFWA25","created_at":"2026-05-21T02:05:28Z"},{"alias_kind":"pith_short_8","alias_value":"R73UKXFG","created_at":"2026-05-21T02:05:28Z"}],"graph_snapshots":[{"event_id":"sha256:684ebf92c9a5432ce08bb37cc0985b95ed52e60b827bf27f75aa5c272f400d18","target":"graph","created_at":"2026-05-21T02:05:28Z","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/2605.21311/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern vision systems can detect, track, and forecast urban actors at scale, yet translating perception outputs to urban design remains limited. We introduce DeCoR, a two-stage reinforcement learning framework that leverages flow observations to co-optimize crosswalk layout and network-level signal control. The design stage encodes the pedestrian network as a graph and learns a generative policy that parameterizes a Gaussian mixture model over crosswalk location and width, from which new crosswalks are sampled. For each layout, a shared control policy learns adaptive signal timings to minimize","authors_text":"Bibek Poudel, Kevin Heaslip, Lei Zhu, Sai Swaminathan, Weizi Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:39:06Z","title":"DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21311","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:d824979104b973596a3648402bd5c06b4b26d4c40222dea00905fa6dc227f063","target":"record","created_at":"2026-05-21T02:05:28Z","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":"9322de40ba7780eb13047ed3066696b7c452bd41ec8e68bca846a7d4620e08e0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:39:06Z","title_canon_sha256":"2321a7784042607d83c22b9988bfdf94c9ea6f837a6b6cd8b60a175aa31748ba"},"schema_version":"1.0","source":{"id":"2605.21311","kind":"arxiv","version":1}},"canonical_sha256":"8ff7455ca634d25b035df0671e6adc91f9542d68d1f956aa6b566480193605e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ff7455ca634d25b035df0671e6adc91f9542d68d1f956aa6b566480193605e2","first_computed_at":"2026-05-21T02:05:28.629141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T02:05:28.629141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BEmMdRYOsZfan+EV4nSVrLmyzbkmWMgOH+PZ+MPU2PHkwmFPHJuU6keO5xUytPsEK09JuS13+Fj5rFSwAcUOCg==","signature_status":"signed_v1","signed_at":"2026-05-21T02:05:28.629931Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.21311","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:4a92ead19a2198f17e74171225ebbff6dd349cba501fd2d7c670c7094bba93c4","sha256:5079121d791017af509e558c75db6d911bf52b6443ac9168f8fa1ae19cd86eb8"]}],"invalid_events":[],"applied_event_ids":["sha256:d824979104b973596a3648402bd5c06b4b26d4c40222dea00905fa6dc227f063","sha256:684ebf92c9a5432ce08bb37cc0985b95ed52e60b827bf27f75aa5c272f400d18"],"state_sha256":"3f6fde5c36ee8206a19ac790280db18f1033bb07529c5cfaa89f21e04c090288"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f3DwX0xIskbi/yHbSewDKOjVDwXfgdkUzFRZ7OEyENnKFItpkVHe+0myeTPK2aCnHCtRFm88ZqTbbP4qw+IQCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T08:28:43.961447Z","bundle_sha256":"43768c075e3c8e63d1e8910a1cbf248f072b89fd8fb5d177c1bcaa90baf0e9d8"}}