{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:EUJKYJYDADX4YHJVDN455BPUWH","short_pith_number":"pith:EUJKYJYD","canonical_record":{"source":{"id":"1809.01011","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-31T11:18:18Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"390dcfee38aa468b44e48f247addf5110718429822040bca15f01102cd61aed2","abstract_canon_sha256":"3a684ae7e27a4309e31306fcc1a6742ab84ebca7f6d5366c4d0faf3331ea20cb"},"schema_version":"1.0"},"canonical_sha256":"2512ac270300efcc1d351b79de85f4b1d03b25b1ecf6b6ef35bd92384cdf1583","source":{"kind":"arxiv","id":"1809.01011","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01011","created_at":"2026-05-18T00:06:31Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01011v1","created_at":"2026-05-18T00:06:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01011","created_at":"2026-05-18T00:06:31Z"},{"alias_kind":"pith_short_12","alias_value":"EUJKYJYDADX4","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EUJKYJYDADX4YHJV","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EUJKYJYD","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:EUJKYJYDADX4YHJVDN455BPUWH","target":"record","payload":{"canonical_record":{"source":{"id":"1809.01011","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-31T11:18:18Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"390dcfee38aa468b44e48f247addf5110718429822040bca15f01102cd61aed2","abstract_canon_sha256":"3a684ae7e27a4309e31306fcc1a6742ab84ebca7f6d5366c4d0faf3331ea20cb"},"schema_version":"1.0"},"canonical_sha256":"2512ac270300efcc1d351b79de85f4b1d03b25b1ecf6b6ef35bd92384cdf1583","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:31.923498Z","signature_b64":"98xkNDGsbQlyl0Z6KCC3jkX8OYIB79Dj/ehIGeC6/4QUPwX/zjnv7r3cAqodQCnaDehE9G47rVcD/W1AljPaDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2512ac270300efcc1d351b79de85f4b1d03b25b1ecf6b6ef35bd92384cdf1583","last_reissued_at":"2026-05-18T00:06:31.923067Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:31.923067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.01011","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":"2026-05-18T00:06:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2GVSiDDh1FDRYNJTz24GPB4FI9aH3guEuy1BBGonVixOjzP1Rr8Nbpo7ikoaMuuQQybegGQrMTQK+SN5Pzz4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T08:50:18.742217Z"},"content_sha256":"e4f2163d57dc5387140a06f91753c1a8148f1d8dd875105bb53b862813d83700","schema_version":"1.0","event_id":"sha256:e4f2163d57dc5387140a06f91753c1a8148f1d8dd875105bb53b862813d83700"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:EUJKYJYDADX4YHJVDN455BPUWH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Navaneethkrishnan B, Saumya Kumaar, S N Omkar, Sumedh Mannar","submitted_at":"2018-08-31T11:18:18Z","abstract_excerpt":"With a great amount of research going on in the field of autonomous vehicles or self-driving cars, there has been considerable progress in road detection and tracking algorithms. Most of these algorithms use GPS to handle road junctions and its subsequent decisions. However, there are places in the urban environment where it becomes difficult to get GPS fixes which render the junction decision handling erroneous or possibly risky. Vision-based junction detection, however, does not have such problems. This paper proposes a novel deep convolutional neural network architecture for disambiguation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01011","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":"2026-05-18T00:06:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qBKlQzM0CLXyR1qTddEw4kbRof+EzJXpxNBQOFT4mrKN+HVnJJbAFlLXDWkxXYndqNgRNaZtQ2F282K6CQ9WBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T08:50:18.742992Z"},"content_sha256":"8bcc9770656e3ae540ef1d93b0c9feccc55f2e0433af35e5721b43e47133af3b","schema_version":"1.0","event_id":"sha256:8bcc9770656e3ae540ef1d93b0c9feccc55f2e0433af35e5721b43e47133af3b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EUJKYJYDADX4YHJVDN455BPUWH/bundle.json","state_url":"https://pith.science/pith/EUJKYJYDADX4YHJVDN455BPUWH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EUJKYJYDADX4YHJVDN455BPUWH/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":"2026-06-11T08:50:18Z","links":{"resolver":"https://pith.science/pith/EUJKYJYDADX4YHJVDN455BPUWH","bundle":"https://pith.science/pith/EUJKYJYDADX4YHJVDN455BPUWH/bundle.json","state":"https://pith.science/pith/EUJKYJYDADX4YHJVDN455BPUWH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EUJKYJYDADX4YHJVDN455BPUWH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EUJKYJYDADX4YHJVDN455BPUWH","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":"3a684ae7e27a4309e31306fcc1a6742ab84ebca7f6d5366c4d0faf3331ea20cb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-31T11:18:18Z","title_canon_sha256":"390dcfee38aa468b44e48f247addf5110718429822040bca15f01102cd61aed2"},"schema_version":"1.0","source":{"id":"1809.01011","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01011","created_at":"2026-05-18T00:06:31Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01011v1","created_at":"2026-05-18T00:06:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01011","created_at":"2026-05-18T00:06:31Z"},{"alias_kind":"pith_short_12","alias_value":"EUJKYJYDADX4","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EUJKYJYDADX4YHJV","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EUJKYJYD","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:8bcc9770656e3ae540ef1d93b0c9feccc55f2e0433af35e5721b43e47133af3b","target":"graph","created_at":"2026-05-18T00:06:31Z","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":"With a great amount of research going on in the field of autonomous vehicles or self-driving cars, there has been considerable progress in road detection and tracking algorithms. Most of these algorithms use GPS to handle road junctions and its subsequent decisions. However, there are places in the urban environment where it becomes difficult to get GPS fixes which render the junction decision handling erroneous or possibly risky. Vision-based junction detection, however, does not have such problems. This paper proposes a novel deep convolutional neural network architecture for disambiguation ","authors_text":"Navaneethkrishnan B, Saumya Kumaar, S N Omkar, Sumedh Mannar","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-31T11:18:18Z","title":"JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01011","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:e4f2163d57dc5387140a06f91753c1a8148f1d8dd875105bb53b862813d83700","target":"record","created_at":"2026-05-18T00:06:31Z","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":"3a684ae7e27a4309e31306fcc1a6742ab84ebca7f6d5366c4d0faf3331ea20cb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-31T11:18:18Z","title_canon_sha256":"390dcfee38aa468b44e48f247addf5110718429822040bca15f01102cd61aed2"},"schema_version":"1.0","source":{"id":"1809.01011","kind":"arxiv","version":1}},"canonical_sha256":"2512ac270300efcc1d351b79de85f4b1d03b25b1ecf6b6ef35bd92384cdf1583","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2512ac270300efcc1d351b79de85f4b1d03b25b1ecf6b6ef35bd92384cdf1583","first_computed_at":"2026-05-18T00:06:31.923067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:31.923067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"98xkNDGsbQlyl0Z6KCC3jkX8OYIB79Dj/ehIGeC6/4QUPwX/zjnv7r3cAqodQCnaDehE9G47rVcD/W1AljPaDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:31.923498Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01011","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4f2163d57dc5387140a06f91753c1a8148f1d8dd875105bb53b862813d83700","sha256:8bcc9770656e3ae540ef1d93b0c9feccc55f2e0433af35e5721b43e47133af3b"],"state_sha256":"36a406f1d3478c5db2a3aee3c283aa43b81cd466bf734cc009937093d203997b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K5jfAtNJ0BOVlSqe3ESNcYNobcdiHsWWpgYCIInEV8fu3KYA4uvtSfBu+2Zkre0xTcZ6b00wgqdTAgkv0rZyBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T08:50:18.747030Z","bundle_sha256":"750f908b1d3fd511005dd6a28c6d8e957e65cbebf022888c098a83c935a16ddc"}}