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Paper Citation Record · LEDGER

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving

As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.14589.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.14589 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:56:08.116399Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d61df8ac-1782-4a36-8759-d681588aa58c · outbound

This paper cites Planning-oriented autonomous driving,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Planning-oriented autonomous driving,

Reference 1

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raw_fallback, observed 2026-08-15T19:56:08.784455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.943027Z digest=sha256:e98dd7eac574f0a49774fe6e0fce51f061816679dc3b4de52bb9365de6b35857

Observation af2eff02-a9f1-46c2-9260-91c7fcdcce21 · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:07.947263Z digest=sha256:a9901c606608721cb1a36e1eee2b77869008418ec423d33dd68b464854d6bd8e

Observation 7227aa69-20fa-4f44-9a31-25624879f806 · outbound

This paper cites V AD: Vectorized scene representation for efficient autonomous driving,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving V AD: Vectorized scene representation for efficient autonomous driving,

Reference 3

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raw_fallback, observed 2026-08-15T19:56:08.774334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.951677Z digest=sha256:aeb5369a58e7beb03bebdb22c087f2c965f8a7cc243c7f9f3d27f6ec30f0d38d

Observation d4f07d91-cbdf-410c-ad04-cae4312fd564 · outbound

This paper cites MultiRuler: A multi-dimensional resource modeling method for embedded intelligent systems of autonomous driving,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving MultiRuler: A multi-dimensional resource modeling method for embedded intelligent systems of autonomous driving,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.955428Z digest=sha256:ddb895d31fe101b57771f9b282771f1ed02eff6b3d540ae9e753c870eae880a9

Observation 2b602954-9411-4c00-ac79-0d1fce6c54bc · outbound

This paper cites Trajectory planning for autonomous driving in unstructured scenarios based on deep learning and quadratic optimization,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Trajectory planning for autonomous driving in unstructured scenarios based on deep learning and quadratic optimization,

Reference 5

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raw_fallback, observed 2026-08-15T19:56:08.753878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.958968Z digest=sha256:288ce6bf8d4ed0db4e5bcdb857c1d7a8b4b06c617cfb843d088016874d2f1b8e

Observation 39669d01-db3f-4999-ac46-4e01d9fdd3d0 · outbound

This paper cites Vision-based autonomous driving: A hierarchical reinforcement learning approach,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Vision-based autonomous driving: A hierarchical reinforcement learning approach,

Reference 6

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raw_fallback, observed 2026-08-15T19:56:08.743471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.962543Z digest=sha256:9d7da08bd6ea660e3bad7120b8744f59d0a1f4c258972a61fcde6b481b4cbbe4

Observation 71cb306e-34be-46fc-9b6b-87a9819ed784 · outbound

This paper cites Language models are few-shot learners,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Language models are few-shot learners,

Reference 7

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raw_fallback, observed 2026-08-15T19:56:08.732168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.967523Z digest=sha256:d352d94368fe8b29afe0d26dba7cd9e26b8c1673a208c17b716e2e62362e2f52

Observation 6db72b78-a16b-4425-abd5-0188396ca90a · outbound

This paper cites A Simple Method for Commonsense Reasoning.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving A Simple Method for Commonsense Reasoning

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:07.971226Z digest=sha256:720bb047dd573f166cbe14eded151fa11636c5bd93a1aec56a992489a7a73f63

Observation a7a5e542-b8b8-454a-baa0-c0976f050fb0 · outbound

This paper cites GPT-4 Technical Report.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving GPT-4 Technical Report

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:07.975098Z digest=sha256:803ee6c3ac84a16c116224ea047b5f481a6e16b2c48400a749d39e4e3da6e826

Observation 6bd59d66-d94c-4ede-ab98-03faaf228a89 · outbound

This paper cites LLaMA 3 model card,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving LLaMA 3 model card,

Reference 10

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raw_fallback, observed 2026-08-15T19:56:08.720979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.979708Z digest=sha256:fb17769dbc655fda5d3ffd2bb1f8cada37f96e9578b032c9274c21e043d2b0c9

Observation 64ca1c68-4847-4deb-ae97-345cc1212f34 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:07.984105Z digest=sha256:c114780f890aa23f1d36cb843048c7f7d6389ccc01d8b752be1d74800f741513

Observation a0aa02d7-936f-49b4-977d-5a9ebae6a254 · outbound

This paper cites A generalized ChatGPT-based collaborative multi-objective decision-making framework for robust vehicle platoon collision avoidance,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving A generalized ChatGPT-based collaborative multi-objective decision-making framework for robust vehicle platoon collision avoidance,

Reference 12

Resolution
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raw_fallback, observed 2026-08-15T19:56:08.710469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.987777Z digest=sha256:938e0f53996938f9aa100369a7b738fe6ad16139cbecbdec8e128d1a593b516c

Observation 0bb8c5fc-659c-432d-8a97-c48de778edab · outbound

This paper cites LA VIS: A one-stop library for language-vision intelligence,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving LA VIS: A one-stop library for language-vision intelligence,

Reference 13

Resolution
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raw_fallback, observed 2026-08-15T19:56:08.700324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.991276Z digest=sha256:caee4f67a73ff8bd3e066c9fcbab96a9507d956cb18c23bcb2deeb3667e5cfde

Observation 4def88ac-592a-43b3-bbf2-0779d0e08f5c · outbound

This paper cites BLIP-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving BLIP-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.690378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.994469Z digest=sha256:555ec534cba697495f58ef06ef65ad08eff9b64e523e239fbf90f6a2cea94ddb

Observation 8be8a889-64e4-4424-9e7b-17854b89f843 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and chatbot arena,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Judging LLM-as-a-Judge with MT-Bench and chatbot arena,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.680568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:07.997678Z digest=sha256:23fbf0b91dd5476e2cb6ea7890763484a882d89af9ff3b329728b4c0d1f71523

Observation 5b796982-7016-4bb9-916a-e133f7223fe0 · outbound

This paper cites Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.000890Z digest=sha256:d6c8194cac60d7680ffa3079dfe23ca6050c222a41c48e666802f2c009697d68

Observation 715d1e20-16ac-4fb6-90bb-cbce6e108076 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 17

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source=pdf_text observed=2026-08-15T19:56:08.004728Z digest=sha256:e98c3e8f5f6b735ffdbb03e52f8dc1876ca69875a346416643d4210d3f2b1d95

Observation c4b0d370-e30e-4f24-88ff-2d54b69bbe60 · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.008172Z digest=sha256:77fe97dd9b94ad4dcf73e952415cc935c755b817145ac05cb058707bbbd1127b

Observation 52b95e70-390f-410c-a777-174741162f44 · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.011907Z digest=sha256:a7604c5a930d4098167561be803c4dbbf5d692e4816c88b1ee104cf2903da23f

Observation 897e51ea-630c-44bc-b168-b3e3cb6ed8c8 · outbound

This paper cites DriveMLM: Aligning multi-modal large language models with behavioral planning states for autonomous driving,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving DriveMLM: Aligning multi-modal large language models with behavioral planning states for autonomous driving,

Reference 20

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source=pdf_text observed=2026-08-15T19:56:08.015516Z digest=sha256:490279e4007e4054786d30b90641ac2bfe4e0f88e843b3631b91ba0f53792274

Observation c0a385ea-082d-436b-a6bc-210d00e9d00b · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 21

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source=pdf_text observed=2026-08-15T19:56:08.019116Z digest=sha256:6969ca558bd2fcc67f1d8faac8b5d6c34755f73698e42f7eec84444589c4b401

Observation 1e0c722d-68bf-44e1-be15-1a43af86b6a8 · outbound

This paper cites DriveGPT4: Interpretable end-to-end autonomous driving via large language model,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving DriveGPT4: Interpretable end-to-end autonomous driving via large language model,

Reference 22

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raw_fallback, observed 2026-08-15T19:56:08.670292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.023472Z digest=sha256:83f46a8975a00c574e7dd9e29bc31ca3483a074a0cd45fd75385953c280af0a5

Observation 591297a1-a887-45e1-95f7-17f96d9eb6da · outbound

This paper cites VLM-E2E: Enhancing end-to-end autonomous driving with multimodal driver attention fusion,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving VLM-E2E: Enhancing end-to-end autonomous driving with multimodal driver attention fusion,

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.027045Z digest=sha256:42788dadc17a198781c51fc9ca6a674243d5f92c85768d3b7772fc8f2676be44

Observation 02cd8ca0-8d13-40dd-ba40-117def9f2afe · outbound

This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

Reference 24

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no resolver link, observed 2026-08-15T19:56:08.030364Z

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source=pdf_text observed=2026-08-15T19:56:08.030364Z digest=sha256:9b11ad9f5e812c35e901080cd9ff33ed364112fc59728b870a755edbe0133289

Observation dc2e1244-4287-4fec-b067-5023334dafc6 · outbound

This paper cites ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Reference 25

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no resolver link, observed 2026-08-15T19:56:08.034024Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.034024Z digest=sha256:23951aa094537dd25726c8da983fdcef4882aa566c9b5a4e1bcf34e513146cc9

Observation fa85a98a-0c9b-4d4e-a9a9-960625df5659 · outbound

This paper cites LMDrive: Closed-loop end-to-end driving with large language models,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving LMDrive: Closed-loop end-to-end driving with large language models,

Reference 26

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raw_fallback, observed 2026-08-15T19:56:08.659816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.037709Z digest=sha256:3206359566fb9e3f5df9566a5d43244d108f0fb24eb94e4e280419cd26a8f617

Observation a28a685f-b1e5-476b-acfe-c2bfbd87199c · outbound

This paper cites Asynchronous large language model enhanced planner for autonomous driving,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Asynchronous large language model enhanced planner for autonomous driving,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.649568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.041442Z digest=sha256:671d415232c25ef14a6f8351a624741a9945c9c7f432ef6d0dab0f0f4864c633

Observation 20b460c5-d308-4d3a-a943-5fe6b5d9268d · outbound

This paper cites OpenDriveVLA: Towards end-to-end autonomous driving with large vision language action model,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving OpenDriveVLA: Towards end-to-end autonomous driving with large vision language action model,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.639149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.044985Z digest=sha256:7ba5d0204e2b88b0da025423933a2fc8304d0389e2948fb19d614a0eebd320b1

Observation 76fb0f7c-8612-4d0f-98bf-c3fd9e4d362b · outbound

This paper cites DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.048377Z digest=sha256:c308f02f0bc8b2c0875c3abd7752c1e176886058c135edbebed72b3f027e1042

Observation c1977912-a2e7-470b-8fd2-5752153a9f98 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 30

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no resolver link, observed 2026-08-15T19:56:08.052126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.052126Z digest=sha256:13acff22e2dba8bd74ea29ce735199d086c6955489bd259dc2a8c6e7e87ad63c

Observation c3abd408-54e2-4f70-bfe3-e6d2d8f70e5f · outbound

This paper cites Circuit tracing: Revealing computational graphs in language models,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Circuit tracing: Revealing computational graphs in language models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.628263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.055957Z digest=sha256:69eb116f19a6fa06b4f1973c881af188e9775f1c2655ec991f6b72e5e56d6622

Observation d3fdede4-b8f4-441d-878c-e1b3eb1d0bc4 · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving nuScenes: A multimodal dataset for autonomous driving,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.617168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.059420Z digest=sha256:5a82bfb7db8c3b32138ed36ba40e83ef5f08c58c53ec8be7263288099df1cd6e

Observation 50568352-6fc2-4e94-992d-b613addd688a · outbound

This paper cites MP3: A unified model to map, perceive, predict and plan,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving MP3: A unified model to map, perceive, predict and plan,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.606420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.062957Z digest=sha256:3308d962d6d9f323dffb603f03408c56f9ffa8e76a1f9b1bbf01ef74b333e09c

Observation 3241639a-c046-4eae-9634-911d5bf0c921 · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 34

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no resolver link, observed 2026-08-15T19:56:08.066107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.066107Z digest=sha256:ef009cbb02f8f9dee1992c8d1fa513746dfd7e0cb8c817cda31241252a5713c8

Observation f8fbbc96-eb5f-4e9c-919d-2af789d2c185 · outbound

This paper cites PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 35

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source=pdf_text observed=2026-08-15T19:56:08.069911Z digest=sha256:6fdc13c4a5112b70290cecee0d39106107578f0d9b5c841f6f2ff21c715ed3c2

Observation af8c6f50-a979-488a-9eb2-1f5d45e3d643 · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 36

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no resolver link, observed 2026-08-15T19:56:08.073614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.073614Z digest=sha256:85a9d120a98db778fd46413036fbcb1f6630bc5b1f8c89c72e95a03cfb4ddd17

Observation 50161db1-6d4a-473b-9ac9-5371d6374110 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Learning transferable visual models from natural language supervision,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.595254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.077504Z digest=sha256:c433a541ffa1ab789165d471cf12ed4ab6b65fcbaddeac0750aa54031bbd3f9c

Observation 72d92aa0-0936-44be-8c41-033f6dd24fd1 · outbound

This paper cites Applications of large language models and multimodal large models in autonomous driving: A comprehensive review,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Applications of large language models and multimodal large models in autonomous driving: A comprehensive review,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.582116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.080963Z digest=sha256:3d833f05a302b8bac49527f5538715893dac9bdf507978eb870249da89462723

Observation 84cd7714-67f8-44d9-8407-541435417310 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.570438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.084594Z digest=sha256:bf5388e2ffe2da29ab485faf14620838b38d1d42a5a7b53b719893fbe67c98e4

Observation a7d8fb9d-7c89-43c3-bf49-5983d5354a49 · outbound

This paper cites Attention is all you need,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Attention is all you need,

Reference 40

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no resolver link, observed 2026-08-15T19:56:08.088004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.088004Z digest=sha256:aa5e7ce99e36c64468a02e1de0bccc6333444ea61ece0b12a40bc1aff67a8ac1

Observation 272b89b2-ed3e-4fca-a7ed-ee1c47c5a304 · outbound

This paper cites DriveLM: Driving with Graph Visual Question Answering.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 41

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no resolver link, observed 2026-08-15T19:56:08.091183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.091183Z digest=sha256:ead7787d4105aad987c95b59704501bdc5d9c8ca50de69b6ab7b964ab30899c2

Observation 4526a777-943f-40ef-bfe6-cfcf57c75183 · outbound

This paper cites Vision transformer with deformable attention,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving Vision transformer with deformable attention,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.552739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.094783Z digest=sha256:67855c68519a1065d46f0d84dca4ba187f020c6c66896f563e372169675ec6fa

Observation 7833574a-4c86-483b-af00-f633498b05cf · outbound

This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 43

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no resolver link, observed 2026-08-15T19:56:08.098656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.098656Z digest=sha256:834c5f4b8c78f73630dcbab1b94043448f380aaa2de5ad8e0f748042df65d89e

Observation 8adde5ff-2b22-4175-894d-d67e0ac69e23 · outbound

This paper cites SmolVLM: Redefining small and efficient multimodal models.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving SmolVLM: Redefining small and efficient multimodal models

Reference 44

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unresolved
no resolver link, observed 2026-08-15T19:56:08.102380Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:56:08.102380Z digest=sha256:0abdf58452daa9c8d7cb2c82670d9a3ea8d854bde50a3d88ecc2e524a2886e9c

Observation 83f85b4a-b938-42c4-8469-7e5b660677f1 · outbound

This paper cites End-to-end interpretable neural motion planner,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving End-to-end interpretable neural motion planner,

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.541829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.106028Z digest=sha256:c1cd4b1e92f82adc5c704bef0268f3f6c65c592a6d88ffa06c9ed46011a2d312

Observation e2f1a519-8519-4861-af50-149397c6c422 · outbound

This paper cites ST-P3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving ST-P3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:56:08.530895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.109542Z digest=sha256:17047a9c15755ccc8338a16b952e1663bcf9f444bf72f21a6b0feb6f19dcc254

Observation 2bf4e818-9fa8-41b3-aafe-082dac818a85 · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving GPT-Driver: Learning to Drive with GPT

Reference 47

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no resolver link, observed 2026-08-15T19:56:08.112946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.112946Z digest=sha256:84e46759b2674766071901a1d47f1a067da19c78e89005c820bffdfded78426e

Observation 0b7a0c85-bb6c-4b09-8f56-a1109d152560 · outbound

This paper cites PlanScope: Learning to plan within decision scope does matter,.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving PlanScope: Learning to plan within decision scope does matter,

Reference 48

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verified exact
raw_fallback, observed 2026-08-15T19:56:08.210530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:56:08.116399Z digest=sha256:9de68d626e9798c1bed20bafc820a20796fc261200f26b50a21be2858d408d22

Pith citing papers

No inbound Pith citation observations are available.