{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BA5XLLWVV5XDDLBTWMLIA6JX3I","short_pith_number":"pith:BA5XLLWV","canonical_record":{"source":{"id":"1807.03515","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-07-10T08:00:22Z","cross_cats_sorted":["cs.NI","cs.RO"],"title_canon_sha256":"854e6debe5381b6af9b0cf7c763b33f29ffcacf567d5243d1c991e89d1c6c75d","abstract_canon_sha256":"1cbf7baefffd8344934b25b6ffdc77981d565c25f45b9f744a7e93cd369e89c0"},"schema_version":"1.0"},"canonical_sha256":"083b75aed5af6e31ac33b316807937da27fe0ee6d081d535e45a3e7303d546a8","source":{"kind":"arxiv","id":"1807.03515","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.03515","created_at":"2026-05-18T00:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"1807.03515v1","created_at":"2026-05-18T00:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.03515","created_at":"2026-05-18T00:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"BA5XLLWVV5XD","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"BA5XLLWVV5XDDLBT","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"BA5XLLWV","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BA5XLLWVV5XDDLBTWMLIA6JX3I","target":"record","payload":{"canonical_record":{"source":{"id":"1807.03515","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-07-10T08:00:22Z","cross_cats_sorted":["cs.NI","cs.RO"],"title_canon_sha256":"854e6debe5381b6af9b0cf7c763b33f29ffcacf567d5243d1c991e89d1c6c75d","abstract_canon_sha256":"1cbf7baefffd8344934b25b6ffdc77981d565c25f45b9f744a7e93cd369e89c0"},"schema_version":"1.0"},"canonical_sha256":"083b75aed5af6e31ac33b316807937da27fe0ee6d081d535e45a3e7303d546a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:35.354614Z","signature_b64":"ATi0h9HRyJoqgRHFK9fjFi0n8mBbMosvDn3UwiV7G5IbzoArCUF6t17jEBckwstwG8Mmph/vr7ePjD/KFU3KCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"083b75aed5af6e31ac33b316807937da27fe0ee6d081d535e45a3e7303d546a8","last_reissued_at":"2026-05-18T00:09:35.354084Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:35.354084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.03515","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":"2026-05-18T00:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qIiYVhZ2EOiOwizf/Pq0Su8oUj3er7ce9BuLJEksiIcIja6DjO7gMfIXo79JnAoUeWPWD8/Eqn86yS6bja5ZDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T19:22:41.264761Z"},"content_sha256":"a1ae0b429bf25ee0822479eb4624bc1df7d24d23fed8fc30d324b96c43a697ee","schema_version":"1.0","event_id":"sha256:a1ae0b429bf25ee0822479eb4624bc1df7d24d23fed8fc30d324b96c43a697ee"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BA5XLLWVV5XDDLBTWMLIA6JX3I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","cs.RO"],"primary_cat":"cs.SY","authors_text":"Anil Sharma, Mayank K. Pal, P. B. Sujit, Rupali Bhati, Saket Anand, Sanjit K. Kaul","submitted_at":"2018-07-10T08:00:22Z","abstract_excerpt":"Our premise is that autonomous vehicles must optimize communications and motion planning jointly. Specifically, a vehicle must adapt its motion plan staying cognizant of communications rate related constraints and adapt the use of communications while being cognizant of motion planning related restrictions that may be imposed by the on-road environment. To this end, we formulate a reinforcement learning problem wherein an autonomous vehicle jointly chooses (a) a motion planning action that executes on-road and (b) a communications action of querying sensed information from the infrastructure. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.03515","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":""},"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":"2026-05-18T00:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PtpxZaQLEFlfwegTyNrkda4/1XUvPRpT6DF/bXkvi4AISXfkhoz+djlZHbR1i6tEONYmiaFd1eKQndRc1T+FBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T19:22:41.265139Z"},"content_sha256":"a5d2f5545d6ec158e9bf38bb0bf7d860cc647be8df9a9270522c2531cf2b8f65","schema_version":"1.0","event_id":"sha256:a5d2f5545d6ec158e9bf38bb0bf7d860cc647be8df9a9270522c2531cf2b8f65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BA5XLLWVV5XDDLBTWMLIA6JX3I/bundle.json","state_url":"https://pith.science/pith/BA5XLLWVV5XDDLBTWMLIA6JX3I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BA5XLLWVV5XDDLBTWMLIA6JX3I/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":"2026-06-09T19:22:41Z","links":{"resolver":"https://pith.science/pith/BA5XLLWVV5XDDLBTWMLIA6JX3I","bundle":"https://pith.science/pith/BA5XLLWVV5XDDLBTWMLIA6JX3I/bundle.json","state":"https://pith.science/pith/BA5XLLWVV5XDDLBTWMLIA6JX3I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BA5XLLWVV5XDDLBTWMLIA6JX3I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BA5XLLWVV5XDDLBTWMLIA6JX3I","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":"1cbf7baefffd8344934b25b6ffdc77981d565c25f45b9f744a7e93cd369e89c0","cross_cats_sorted":["cs.NI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-07-10T08:00:22Z","title_canon_sha256":"854e6debe5381b6af9b0cf7c763b33f29ffcacf567d5243d1c991e89d1c6c75d"},"schema_version":"1.0","source":{"id":"1807.03515","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.03515","created_at":"2026-05-18T00:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"1807.03515v1","created_at":"2026-05-18T00:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.03515","created_at":"2026-05-18T00:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"BA5XLLWVV5XD","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"BA5XLLWVV5XDDLBT","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"BA5XLLWV","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:a5d2f5545d6ec158e9bf38bb0bf7d860cc647be8df9a9270522c2531cf2b8f65","target":"graph","created_at":"2026-05-18T00:09:35Z","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"},"paper":{"abstract_excerpt":"Our premise is that autonomous vehicles must optimize communications and motion planning jointly. Specifically, a vehicle must adapt its motion plan staying cognizant of communications rate related constraints and adapt the use of communications while being cognizant of motion planning related restrictions that may be imposed by the on-road environment. To this end, we formulate a reinforcement learning problem wherein an autonomous vehicle jointly chooses (a) a motion planning action that executes on-road and (b) a communications action of querying sensed information from the infrastructure. ","authors_text":"Anil Sharma, Mayank K. Pal, P. B. Sujit, Rupali Bhati, Saket Anand, Sanjit K. Kaul","cross_cats":["cs.NI","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-07-10T08:00:22Z","title":"A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.03515","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:a1ae0b429bf25ee0822479eb4624bc1df7d24d23fed8fc30d324b96c43a697ee","target":"record","created_at":"2026-05-18T00:09:35Z","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":"1cbf7baefffd8344934b25b6ffdc77981d565c25f45b9f744a7e93cd369e89c0","cross_cats_sorted":["cs.NI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-07-10T08:00:22Z","title_canon_sha256":"854e6debe5381b6af9b0cf7c763b33f29ffcacf567d5243d1c991e89d1c6c75d"},"schema_version":"1.0","source":{"id":"1807.03515","kind":"arxiv","version":1}},"canonical_sha256":"083b75aed5af6e31ac33b316807937da27fe0ee6d081d535e45a3e7303d546a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"083b75aed5af6e31ac33b316807937da27fe0ee6d081d535e45a3e7303d546a8","first_computed_at":"2026-05-18T00:09:35.354084Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:35.354084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ATi0h9HRyJoqgRHFK9fjFi0n8mBbMosvDn3UwiV7G5IbzoArCUF6t17jEBckwstwG8Mmph/vr7ePjD/KFU3KCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:35.354614Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.03515","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1ae0b429bf25ee0822479eb4624bc1df7d24d23fed8fc30d324b96c43a697ee","sha256:a5d2f5545d6ec158e9bf38bb0bf7d860cc647be8df9a9270522c2531cf2b8f65"],"state_sha256":"0860de4067027d2a2d3c5b8951beec72c125f5282e0917ef1d739ba14aeb9941"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfb1pDjFLLXfnlA3iRxodFyyh8E4e1BkJdtvlpAxeni2MBRd/WiP/EkB46gwMj1F4y4P2RS8qRS05PalfNMTBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T19:22:41.268310Z","bundle_sha256":"e6bcfd2db73ede8c5effa6e5aea1ef13f65a5d8d56c6adf16c98d546725917a9"}}