{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:27DLF7JZZGZ2ZCP4OVCEV2CKQK","short_pith_number":"pith:27DLF7JZ","canonical_record":{"source":{"id":"2506.14589","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-17T14:52:50Z","cross_cats_sorted":[],"title_canon_sha256":"0be23932672a2bce92ceeaeceec4deedd0bb5ac7f0ad942cbc52a4542e3611aa","abstract_canon_sha256":"e8a4e743ea2cbbe14416a19b75e09f895f461f3cf1fc61758a45fd69dcb3d2cb"},"schema_version":"1.0"},"canonical_sha256":"d7c6b2fd39c9b3ac89fc75444ae84a8297c7d9405b4548cdb5cfdecbf7d7e8d0","source":{"kind":"arxiv","id":"2506.14589","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14589","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14589v2","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14589","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"pith_short_12","alias_value":"27DLF7JZZGZ2","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"pith_short_16","alias_value":"27DLF7JZZGZ2ZCP4","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"pith_short_8","alias_value":"27DLF7JZ","created_at":"2026-07-05T12:02:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:27DLF7JZZGZ2ZCP4OVCEV2CKQK","target":"record","payload":{"canonical_record":{"source":{"id":"2506.14589","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-17T14:52:50Z","cross_cats_sorted":[],"title_canon_sha256":"0be23932672a2bce92ceeaeceec4deedd0bb5ac7f0ad942cbc52a4542e3611aa","abstract_canon_sha256":"e8a4e743ea2cbbe14416a19b75e09f895f461f3cf1fc61758a45fd69dcb3d2cb"},"schema_version":"1.0"},"canonical_sha256":"d7c6b2fd39c9b3ac89fc75444ae84a8297c7d9405b4548cdb5cfdecbf7d7e8d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:47.342872Z","signature_b64":"xBohHNgQpsBz8sZYGp0eKbqQGSd96Y8AQgvm/IqldeZO7VSvLysRvWMNQJxZK6cAEndw8P94GqWX8R1rOZpRAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7c6b2fd39c9b3ac89fc75444ae84a8297c7d9405b4548cdb5cfdecbf7d7e8d0","last_reissued_at":"2026-07-05T12:02:47.342270Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:47.342270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.14589","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":"2026-07-05T12:02:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PKkvjpZDD50Aco3D/+tieT1wuEyQwGNQtkNmQILvsPahl2mNxGIYuwgDKdZZ3naj+Q5PrL3WDulRef33Vm/+Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:03:18.643659Z"},"content_sha256":"1c9f65554f0068bdbe2256e87c25c57894b6865d244e774dc693ed5f2b23a44c","schema_version":"1.0","event_id":"sha256:1c9f65554f0068bdbe2256e87c25c57894b6865d244e774dc693ed5f2b23a44c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:27DLF7JZZGZ2ZCP4OVCEV2CKQK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Hongji Liu, Jun Ma, Maosheng Ye, Ren Xin, Wenru Liu, Xiaodong Mei, Zhili Chen","submitted_at":"2025-06-17T14:52:50Z","abstract_excerpt":"Integrating General Models (GMs) such as Large Language Models (LLMs), with Specialized Models (SMs) in autonomous driving tasks presents a promising approach to mitigating challenges in data diversity and model capacity of existing specialized driving models. However, this integration leads to problems of asynchronous systems, which arise from the distinct characteristics inherent in GMs and SMs. To tackle this challenge, we propose NetRoller, an adapter that incorporates a set of novel mechanisms to facilitate the seamless integration of GMs and specialized driving models. Specifically, our "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14589","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/2506.14589/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":"2026-07-05T12:02:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FimZuoYXvrhikbV5hQQBi5OWbUyuM7dbzka1DWe6FyjoRc+YAEyB171h6KQFBR4Riq9E1n94MpuPJuEWQb8kBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:03:18.644190Z"},"content_sha256":"4cabded47bc6f071fee6185db0cecb6b8daa102d810b26889fab23afa3e66532","schema_version":"1.0","event_id":"sha256:4cabded47bc6f071fee6185db0cecb6b8daa102d810b26889fab23afa3e66532"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/27DLF7JZZGZ2ZCP4OVCEV2CKQK/bundle.json","state_url":"https://pith.science/pith/27DLF7JZZGZ2ZCP4OVCEV2CKQK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/27DLF7JZZGZ2ZCP4OVCEV2CKQK/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":"2026-08-03T22:03:18Z","links":{"resolver":"https://pith.science/pith/27DLF7JZZGZ2ZCP4OVCEV2CKQK","bundle":"https://pith.science/pith/27DLF7JZZGZ2ZCP4OVCEV2CKQK/bundle.json","state":"https://pith.science/pith/27DLF7JZZGZ2ZCP4OVCEV2CKQK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/27DLF7JZZGZ2ZCP4OVCEV2CKQK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:27DLF7JZZGZ2ZCP4OVCEV2CKQK","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":"e8a4e743ea2cbbe14416a19b75e09f895f461f3cf1fc61758a45fd69dcb3d2cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-17T14:52:50Z","title_canon_sha256":"0be23932672a2bce92ceeaeceec4deedd0bb5ac7f0ad942cbc52a4542e3611aa"},"schema_version":"1.0","source":{"id":"2506.14589","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14589","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14589v2","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14589","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"pith_short_12","alias_value":"27DLF7JZZGZ2","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"pith_short_16","alias_value":"27DLF7JZZGZ2ZCP4","created_at":"2026-07-05T12:02:47Z"},{"alias_kind":"pith_short_8","alias_value":"27DLF7JZ","created_at":"2026-07-05T12:02:47Z"}],"graph_snapshots":[{"event_id":"sha256:4cabded47bc6f071fee6185db0cecb6b8daa102d810b26889fab23afa3e66532","target":"graph","created_at":"2026-07-05T12:02:47Z","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/2506.14589/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Integrating General Models (GMs) such as Large Language Models (LLMs), with Specialized Models (SMs) in autonomous driving tasks presents a promising approach to mitigating challenges in data diversity and model capacity of existing specialized driving models. However, this integration leads to problems of asynchronous systems, which arise from the distinct characteristics inherent in GMs and SMs. To tackle this challenge, we propose NetRoller, an adapter that incorporates a set of novel mechanisms to facilitate the seamless integration of GMs and specialized driving models. Specifically, our ","authors_text":"Hongji Liu, Jun Ma, Maosheng Ye, Ren Xin, Wenru Liu, Xiaodong Mei, Zhili Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-17T14:52:50Z","title":"NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14589","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":"sha256:1c9f65554f0068bdbe2256e87c25c57894b6865d244e774dc693ed5f2b23a44c","target":"record","created_at":"2026-07-05T12:02:47Z","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":"e8a4e743ea2cbbe14416a19b75e09f895f461f3cf1fc61758a45fd69dcb3d2cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-17T14:52:50Z","title_canon_sha256":"0be23932672a2bce92ceeaeceec4deedd0bb5ac7f0ad942cbc52a4542e3611aa"},"schema_version":"1.0","source":{"id":"2506.14589","kind":"arxiv","version":2}},"canonical_sha256":"d7c6b2fd39c9b3ac89fc75444ae84a8297c7d9405b4548cdb5cfdecbf7d7e8d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7c6b2fd39c9b3ac89fc75444ae84a8297c7d9405b4548cdb5cfdecbf7d7e8d0","first_computed_at":"2026-07-05T12:02:47.342270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:47.342270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xBohHNgQpsBz8sZYGp0eKbqQGSd96Y8AQgvm/IqldeZO7VSvLysRvWMNQJxZK6cAEndw8P94GqWX8R1rOZpRAw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:47.342872Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.14589","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c9f65554f0068bdbe2256e87c25c57894b6865d244e774dc693ed5f2b23a44c","sha256:4cabded47bc6f071fee6185db0cecb6b8daa102d810b26889fab23afa3e66532"],"state_sha256":"4850695718d58bde4572b9e117e927ce29735061e61d5e6dd893f1baf3a0e0ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3HFsg2ouGOpCpgTBoqwDB9hxlMn+yA9bBbxWs0Pt40Hq7A+Qud2zVUyjpETAjqbB5cJ76FI/u72qcvoneyZqAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:03:18.649518Z","bundle_sha256":"55fe871bdeedc51783fb657ca6ad5ae21301042df240519af926b2cd249a5060"}}