{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:GWWVQ7GNAERY5KPNEAZW7A4E6R","short_pith_number":"pith:GWWVQ7GN","canonical_record":{"source":{"id":"2306.06344","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-06-10T05:20:30Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5213f76350db296029f58d1271315ac8a69de3ae905b61151e5eae9ecb8b2c6a","abstract_canon_sha256":"295ccbe7de50376ea63ad75c5fa8f04f1b295f3f77d1a80081ea001eff39fe68"},"schema_version":"1.0"},"canonical_sha256":"35ad587ccd01238ea9ed20336f8384f44d762529492fb0a0f34593f472f72f09","source":{"kind":"arxiv","id":"2306.06344","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06344","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06344v2","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06344","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"GWWVQ7GNAERY","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"GWWVQ7GNAERY5KPN","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"GWWVQ7GN","created_at":"2026-07-05T07:02:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:GWWVQ7GNAERY5KPNEAZW7A4E6R","target":"record","payload":{"canonical_record":{"source":{"id":"2306.06344","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-06-10T05:20:30Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5213f76350db296029f58d1271315ac8a69de3ae905b61151e5eae9ecb8b2c6a","abstract_canon_sha256":"295ccbe7de50376ea63ad75c5fa8f04f1b295f3f77d1a80081ea001eff39fe68"},"schema_version":"1.0"},"canonical_sha256":"35ad587ccd01238ea9ed20336f8384f44d762529492fb0a0f34593f472f72f09","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:02:30.138241Z","signature_b64":"3K7VCZw/hfpsL16IV0oH28wwNlV5kDx8Scjo7TXTsmVfPkzidjei7LZfcnAMudHwxEZUpy3Ugmf0NsaY6H4MCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35ad587ccd01238ea9ed20336f8384f44d762529492fb0a0f34593f472f72f09","last_reissued_at":"2026-07-05T07:02:30.137751Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:02:30.137751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.06344","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U1/XCYeHo9gzI3GDrn+ghadtpMd02+t9kz92xMhcDIRPFC2Gy87BzK+oviQGECYTZUU0VN1wKj5rir3Ipg9BDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:32:50.536826Z"},"content_sha256":"a38f98901b7a2c8a2bd70aa0a57ae592429ad5a4c0bb5732e08e0303174b0852","schema_version":"1.0","event_id":"sha256:a38f98901b7a2c8a2bd70aa0a57ae592429ad5a4c0bb5732e08e0303174b0852"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:GWWVQ7GNAERY5KPNEAZW7A4E6R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Language-Guided Traffic Simulation via Scene-Level Diffusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.RO","authors_text":"Baishakhi Ray, Boris Ivanovic, Danfei Xu, Davis Rempe, Marco Pavone, Yulong Cao, Yuxiao Chen, Ziyuan Zhong","submitted_at":"2023-06-10T05:20:30Z","abstract_excerpt":"Realistic and controllable traffic simulation is a core capability that is necessary to accelerate autonomous vehicle (AV) development. However, current approaches for controlling learning-based traffic models require significant domain expertise and are difficult for practitioners to use. To remedy this, we present CTG++, a scene-level conditional diffusion model that can be guided by language instructions. Developing this requires tackling two challenges: the need for a realistic and controllable traffic model backbone, and an effective method to interface with a traffic model using language"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06344","kind":"arxiv","version":2},"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/2306.06344/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":"2026-07-05T07:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Du607x5DLTdFxKohV7XsXAi15/YAiDHkNqNWmjSDjcZzSJZ8DVYnUU0Y1F0PjVDdvaCKHyLn76jdtfNHRRkMBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:32:50.537351Z"},"content_sha256":"4024d2eb23c6d2984fb4247cd85d57c04f294403a792dc2e914ad4488feefd04","schema_version":"1.0","event_id":"sha256:4024d2eb23c6d2984fb4247cd85d57c04f294403a792dc2e914ad4488feefd04"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GWWVQ7GNAERY5KPNEAZW7A4E6R/bundle.json","state_url":"https://pith.science/pith/GWWVQ7GNAERY5KPNEAZW7A4E6R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GWWVQ7GNAERY5KPNEAZW7A4E6R/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":"2026-08-04T17:32:50Z","links":{"resolver":"https://pith.science/pith/GWWVQ7GNAERY5KPNEAZW7A4E6R","bundle":"https://pith.science/pith/GWWVQ7GNAERY5KPNEAZW7A4E6R/bundle.json","state":"https://pith.science/pith/GWWVQ7GNAERY5KPNEAZW7A4E6R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GWWVQ7GNAERY5KPNEAZW7A4E6R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GWWVQ7GNAERY5KPNEAZW7A4E6R","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":"295ccbe7de50376ea63ad75c5fa8f04f1b295f3f77d1a80081ea001eff39fe68","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-06-10T05:20:30Z","title_canon_sha256":"5213f76350db296029f58d1271315ac8a69de3ae905b61151e5eae9ecb8b2c6a"},"schema_version":"1.0","source":{"id":"2306.06344","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06344","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06344v2","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06344","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"GWWVQ7GNAERY","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"GWWVQ7GNAERY5KPN","created_at":"2026-07-05T07:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"GWWVQ7GN","created_at":"2026-07-05T07:02:30Z"}],"graph_snapshots":[{"event_id":"sha256:4024d2eb23c6d2984fb4247cd85d57c04f294403a792dc2e914ad4488feefd04","target":"graph","created_at":"2026-07-05T07:02:30Z","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/2306.06344/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Realistic and controllable traffic simulation is a core capability that is necessary to accelerate autonomous vehicle (AV) development. However, current approaches for controlling learning-based traffic models require significant domain expertise and are difficult for practitioners to use. To remedy this, we present CTG++, a scene-level conditional diffusion model that can be guided by language instructions. Developing this requires tackling two challenges: the need for a realistic and controllable traffic model backbone, and an effective method to interface with a traffic model using language","authors_text":"Baishakhi Ray, Boris Ivanovic, Danfei Xu, Davis Rempe, Marco Pavone, Yulong Cao, Yuxiao Chen, Ziyuan Zhong","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-06-10T05:20:30Z","title":"Language-Guided Traffic Simulation via Scene-Level Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06344","kind":"arxiv","version":2},"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:a38f98901b7a2c8a2bd70aa0a57ae592429ad5a4c0bb5732e08e0303174b0852","target":"record","created_at":"2026-07-05T07:02:30Z","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":"295ccbe7de50376ea63ad75c5fa8f04f1b295f3f77d1a80081ea001eff39fe68","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-06-10T05:20:30Z","title_canon_sha256":"5213f76350db296029f58d1271315ac8a69de3ae905b61151e5eae9ecb8b2c6a"},"schema_version":"1.0","source":{"id":"2306.06344","kind":"arxiv","version":2}},"canonical_sha256":"35ad587ccd01238ea9ed20336f8384f44d762529492fb0a0f34593f472f72f09","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35ad587ccd01238ea9ed20336f8384f44d762529492fb0a0f34593f472f72f09","first_computed_at":"2026-07-05T07:02:30.137751Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:30.137751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3K7VCZw/hfpsL16IV0oH28wwNlV5kDx8Scjo7TXTsmVfPkzidjei7LZfcnAMudHwxEZUpy3Ugmf0NsaY6H4MCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:30.138241Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.06344","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a38f98901b7a2c8a2bd70aa0a57ae592429ad5a4c0bb5732e08e0303174b0852","sha256:4024d2eb23c6d2984fb4247cd85d57c04f294403a792dc2e914ad4488feefd04"],"state_sha256":"311a9c6a717b701e06f9f028a418c414fab7d8b8950c0488f480d8c52d0d93ad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N5m5DEyqDNu5oaUiCWlCIYOrtYnGD1sJOpGpmXePk0XfDnrK2hnh7W6GZDNSXPYkTBWsU1Na/VCmm7yV1LkXCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:32:50.543150Z","bundle_sha256":"2e78abad37f78b254e70707d096e715da1ea1683bde38e905a44bd7538439be7"}}