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Paper Citation Record · LEDGER

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2507.23540.

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

pith.paper-citation-record.v1
2507.23540 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:40:41.487942Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T16:19:57.471814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.440248Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a80704c7-7229-4bc1-b1c4-6a3d2feb3fbc · outbound

This paper cites Point- Painting: Sequential Fusion for 3D Object Detection,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Point- Painting: Sequential Fusion for 3D Object Detection,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.734087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.429993Z digest=sha256:e7d0189b67c81f5c64a46edd9ed5578646fda30465612e5c4d3da9216d8d81ae

Observation 3ae4ee7c-e057-4090-89ed-37c7244975e8 · outbound

This paper cites Multi-modal fu- sion transformer for end-to-end autonomous driving,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Multi-modal fu- sion transformer for end-to-end autonomous driving,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.725710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.433171Z digest=sha256:822cf1b92a0b252e3a02beb6b27d61c8433009edf8b21dab8e2c95dbbe1f73b6

Observation a20c8aef-14b1-4c68-b324-77046b5dfa89 · outbound

This paper cites Radarnet: Exploiting radar for robust perception of dynamic objects,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Radarnet: Exploiting radar for robust perception of dynamic objects,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.717087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.435943Z digest=sha256:bea39f61d73d1904818c13db876ea65b6d5d8a1b208992e0638cbcec481a25d0

Observation fa9a793e-54d9-449f-b31d-9b9e7a93a345 · outbound

This paper cites Learning transferable visual mod- els from natural language supervision,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Learning transferable visual mod- els from natural language supervision,

Reference 4

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unresolved
no resolver link, observed 2026-08-06T10:40:41.438811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.438811Z digest=sha256:a17c2da5da2ab2709ba4051dfc369baf57051e9bd1039d157ff7e1ceb5379303

Observation 63dbd86f-2fb0-4d2e-88c2-49aae6912062 · outbound

This paper cites Vilbert: Pre- training task-agnostic visiolinguistic representations for vision-and-language tasks,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Vilbert: Pre- training task-agnostic visiolinguistic representations for vision-and-language tasks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.703909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.441658Z digest=sha256:0a524cdb858ae6d2b18a99135c3e27962bb11b8f5e6f27991f483812b1600f0d

Observation 1504318c-b50c-4a68-a67f-4638229ef861 · outbound

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

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:41.444231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.444231Z digest=sha256:4d7811224d23c10ecf208d71f2be487811db28a4ee8b71bb5a99f1011cffe00d

Observation e38ae29a-d9e0-4123-accb-7b7b939ce2b5 · outbound

This paper cites Visual language maps for robot navigation,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Visual language maps for robot navigation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.695327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.447372Z digest=sha256:7b277992515a4262a43b17873c5534b042e8c4ea3a04065c91ae15115253a633

Observation 75abe8f7-5a5b-4985-8f98-263c95bfc9c3 · outbound

This paper cites GPT-4 Technical Report.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving GPT-4 Technical Report

Reference 8

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no resolver link, observed 2026-08-06T10:40:41.449857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.449857Z digest=sha256:24a0724de7f57c8947a9a713156c3d6dda5d2ea10b26269c79140da6c7c91ac5

Observation 4cc5a162-2a9c-411a-b9ca-4e4e643850c1 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving LLaMA: Open and Efficient Foundation Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:41.452826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.452826Z digest=sha256:6f7e159b14f606c0224499b9de94051e6b1f11292377b339f986e8730e783778

Observation 5fb21cae-91ce-4027-a34b-5c6b8a9bd59b · outbound

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

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving GPT-Driver: Learning to Drive with GPT

Reference 10

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no resolver link, observed 2026-08-06T10:40:41.455926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.455926Z digest=sha256:0cd055a24494923773bf88181378da01ddb24796ba879329846b5a6ec3dd2fd7

Observation 016930c1-ada6-49ff-8f32-633afaa740e4 · outbound

This paper cites DriveLLM: Charting the Path Toward Full Autonomous Driving With Large Language Models,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving DriveLLM: Charting the Path Toward Full Autonomous Driving With Large Language Models,

Reference 11

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malformed identifier
no resolver link, observed 2026-08-06T10:40:41.458564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.458564Z digest=sha256:ef298585a2fcc90016755baf830d7659ffd11d023247a079a21089f0a706424a

Observation 79bf412b-0cae-4095-af29-4e7276c2a362 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:41.461055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.461055Z digest=sha256:27a7e86bd051de3e598ffda9596a92655fd02f8806b6a8c813018b0f17217418

Observation ea8e984a-1106-4d00-8660-688756569ceb · outbound

This paper cites Planning-oriented autonomous driving,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Planning-oriented autonomous driving,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:41.463891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.463891Z digest=sha256:9c21ca2e4c8637339fdaf03dd797a6ca482240e5f6449be37d73982f97ee36a0

Observation a46d794c-63a8-44b0-8f76-9b4f8b7a289a · outbound

This paper cites Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.682366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.466284Z digest=sha256:c583bab0134e819c0df7b63a678931fa75187db8104549cdc7a6d706f2924d11

Observation 72c69fd4-320a-4e54-bbd2-621acf6293d6 · outbound

This paper cites Making large language models better planners with reasoning-decision alignment,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Making large language models better planners with reasoning-decision alignment,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.674045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.468653Z digest=sha256:4706bc193f76a7dfb197559c173013a3adfe1d019b1091c902b67ff4ec2d6492

Observation 9367c580-b194-42c0-ade8-c6a31407d562 · outbound

This paper cites Text2motion: From natural language instructions to feasible plans,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Text2motion: From natural language instructions to feasible plans,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:41.471054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.471054Z digest=sha256:324482eb95c67f38f903df18c93f42d1bc8c3fc71aa52988636ab7db42e2b4ed

Observation c3e3f267-f828-47b6-8ff7-512b8764832a · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Pointpillars: Fast encoders for object detection from point clouds,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:41.473339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 345b5759-b106-43fb-84c1-bbaf5eec3ce4 · outbound

This paper cites Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.654887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.475597Z digest=sha256:cd14ca30f6657c47efea4cb3af5f58bd9eff3e561ffd151f585dcd36a17e0289

Observation e706d8ab-dc99-4521-9668-73f911832ddf · outbound

This paper cites A note on a general definition of the coefficient of determination,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving A note on a general definition of the coefficient of determination,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.646278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.477949Z digest=sha256:136f5544dec400f4ea6f35b1f992563e9b9b0768013bf5831ac341561a269b5d

Observation dada86b8-8770-49fd-a646-52e6fa0197ca · outbound

This paper cites Social lstm: Human trajec- tory prediction in crowded spaces,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving Social lstm: Human trajec- tory prediction in crowded spaces,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.638064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.480424Z digest=sha256:1492e3b1cbf2a9e6599ac0262a40389a3bac39c14792fa3ad89e3d18faa59723

Observation 27e4d95e-0c6a-4603-9b21-a86cb8772de1 · outbound

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

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:41.629693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.483088Z digest=sha256:18772b243bfe12ab56ddea5ae14d6493e9a9e5f261eb57607255e5d95e6387e4

Observation e2d7c6e9-d9a4-435d-a74e-e9da70bef17d · outbound

This paper cites AUTOFRAME-A Software-Driven Integration Framework for Automotive Systems,.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving AUTOFRAME-A Software-Driven Integration Framework for Automotive Systems,

Reference 22

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raw_fallback, observed 2026-08-06T10:40:41.621054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T10:40:41.485665Z digest=sha256:931e973767bee2b955e2074a59256b629089f094ca90a9605c4390f168bbc7b3

Observation 940846f5-2045-412d-9cd1-beb8b872f59a · outbound

This paper cites GenAI for Automotive Software Development: From Requirements to Wheels.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving GenAI for Automotive Software Development: From Requirements to Wheels

Reference 23

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no resolver link, observed 2026-08-06T10:40:41.487942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.487942Z digest=sha256:736308ea182b48529478837264af572cc346482a1802e1b9c77ad3280ad9c7cd

Pith citing papers

Observation f67d1b62-1549-4af9-9519-3933f777f9aa · inbound

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design cites this paper.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:28:38.441713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T16:19:57.471814Z digest=sha256:a1e1a7bcca82b86f2eb0ca79266cd8cb7311ba34dd9182f57a8cb281a65ca73e