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Paper Citation Record · LEDGER

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.18198.

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

pith.paper-citation-record.v1
2505.18198 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:42.197585Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:40:48.124356Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:40:48.743693Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c2c5ba1-2f50-4489-86e1-b5ddc214e456 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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unresolved
no resolver link, observed 2026-08-07T15:26:39.451952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:39.451952Z digest=sha256:55bdec0f4d4cf1d00e1176c21fee4ba1beb76f10bc990c04d77f9f2f270e3451

Observation c4904325-712c-474b-8f56-49a6e9f14ae7 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:47.430941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:39.529924Z digest=sha256:a890cc5e1365edaf9438740fc100248f86d957af9bb85e2cdee30d72e38508cc

Observation 138718f7-c90a-4f73-b171-ea5626186de0 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-07T15:26:47.183506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:39.621675Z digest=sha256:a63d8f430bd3f2f4ccbc8196c58b193be1abfbe4b34169be8ef2d69d332159c1

Observation 0b4aa0bf-50c5-432c-86c2-5d30f301b643 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-07T15:26:46.795593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:39.684818Z digest=sha256:92a420816e94f9f271213f823d20c41284b4c93a024482764a59d19b855545dd

Observation 9e839672-8436-42ea-ae6d-cefd6eeab996 · outbound

This paper cites Classifier-Free Diffusion Guidance.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Classifier-Free Diffusion Guidance

Reference 5

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unresolved
no resolver link, observed 2026-08-07T15:26:39.768141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:39.768141Z digest=sha256:caa1843db5cd022151a4e7af29c1eb3d2e82c8aded14ee0a4bf0e34ee126a1e0

Observation 4e7ab221-cd21-4d63-aad2-a6075642a09b · outbound

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

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:39.831382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:39.831382Z digest=sha256:5ea948905c3172e5ec739829f44bcf1adbc1c37f8577d4d47ee86f6f11c90482

Observation be331bfb-c53d-491d-8059-c79052f7cae6 · outbound

This paper cites a henb \.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving a henb \

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:46.484229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:39.900827Z digest=sha256:5302c26e405f0e4a3128a004cddaac697044a2d2f85f4f73ce2321cc3f5fce31

Observation 392f791f-d55e-482f-a4a1-ea9077272f0a · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-07T15:26:46.192948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:39.968355Z digest=sha256:50de46fe5a207ec928fc9c5478e796af161bae39659a3a812b9363deae88dc07

Observation 85e8bab9-ccad-4feb-b1d5-47f8bdbf61c4 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-07T15:26:45.924221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:40.058928Z digest=sha256:15a6a3a64aa6719d3e45c903c10ed1c8040753e67408c4e7989b94445f734b0d

Observation 0ab38816-5ec6-419f-9610-4d13d18e1536 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-07T15:26:45.592480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:40.128463Z digest=sha256:6d780c3c591ad62c2d6d045e8248d7b0da99d9e142b5171f14d554f58a8ac88f

Observation dbee9e65-f6a8-4eb4-b336-dc55aff77365 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-07T15:26:40.215643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:40.215643Z digest=sha256:1b4d005e479dcfcdbc9e3186d4465f273639e24a6f37c9488180bc0483e93134

Observation 92322b19-773b-46ca-84a1-98d2c9c9e8d7 · outbound

This paper cites DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation

Reference 12

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unresolved
no resolver link, observed 2026-08-07T15:26:40.316385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:40.316385Z digest=sha256:22ad2d1de324f2fecd19f94b3c19d819b1d3132bafdf961967f2a8680b01e507

Observation 407b2203-9435-4146-bc17-458a1f060498 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-08-07T15:26:45.348551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:40.426832Z digest=sha256:5d645ee978888f37cd8bb3201f756fe2755759e8697b6fbfe818e88c19466c37

Observation 41ee0ed8-3506-4cc1-9015-7be51d962ec3 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-07T15:26:40.533731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:40.533731Z digest=sha256:63ead7522b475602ceb881f1c65e8799adb7925687e61e8a9c0304c66cdce243

Observation 15cb63b7-9c6a-4f8c-9bbf-8c1e62f2a4a6 · outbound

This paper cites MTA: Multimodal Task Alignment for BEV Perception and Captioning.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving MTA: Multimodal Task Alignment for BEV Perception and Captioning

Reference 15

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verified exact
local_arxiv, observed 2026-08-07T15:26:42.627301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:40.646360Z digest=sha256:4c5c211c2abd3b7daeef0bff0abc40cd17f2401a16441645c231d0636b8528e2

Observation 355ed798-3b6f-47a3-8e86-9705f00ce579 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:45.013271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:40.765089Z digest=sha256:d3221eb39aecf6a41b83e8f604dac66cec6a162d72b14eb19719733a68477cb1

Observation 06ff6f7e-c1e9-4388-9303-7d48f8d9c348 · outbound

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

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving GPT-Driver: Learning to Drive with GPT

Reference 17

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unresolved
no resolver link, observed 2026-08-07T15:26:40.867231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:40.867231Z digest=sha256:60902a94d7f8c4af7908b2c30605a1b229568c02b77af73745850f7b29f381fd

Observation aede3e30-1287-42ea-9f8e-d88b61dfcfa9 · outbound

This paper cites GPT-4 Technical Report.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving GPT-4 Technical Report

Reference 18

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unresolved
no resolver link, observed 2026-08-07T15:26:40.979581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:40.979581Z digest=sha256:6fa9fc210fe5306cc04c2342cc3d1bf94b3a7b6c635af64e437d7d696f7c1b34

Observation 75b43485-db34-4901-b5eb-78bf4cf74c64 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-08-07T15:26:44.697205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.112545Z digest=sha256:8fe644a878e9bc7fa7afad2e2c6b9bd2f5896c7696d786bce6c81e9ebdbe023a

Observation 02f0bfa7-6355-46bd-aff6-101fb0d684c0 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

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unresolved
no resolver link, observed 2026-08-07T15:26:41.187562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:41.187562Z digest=sha256:7d4a7d358726c40ee891d8714644dc9d8c2c46d08803f9b53ebccc7d350a8f83

Observation b9702799-6151-45c2-bdb6-0f2f646d2747 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 21

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unresolved
no resolver link, observed 2026-08-07T15:26:41.273600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:41.273600Z digest=sha256:827685d35ec5855b819975fd1448dee2b318ef00b0f8d59bd85b2387c1e535ff

Observation 2333153b-b367-4a62-a518-a8dae534b436 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-08-07T15:26:44.372310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.352454Z digest=sha256:52ae9243b56e302604dd5b80a6c763197d82906c0460639a0600cdc052d0cece

Observation b763d62b-21ed-46b4-9dea-d46fefcc8fdc · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-07T15:26:44.203642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.375545Z digest=sha256:7c36ad2f9cc2d7ed6a6018998cd87999bd2317c5d3833ad2625808c131eadc4e

Observation d772c536-81a0-4c64-8aa9-ad378cc8d3c9 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:43.995680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.457959Z digest=sha256:beb2ba2c7a64f863ea90d58e5a2776190aa8fbb5c2bf6e813fad0d5edd98e0e8

Observation 00d350de-4ab0-4a48-b77f-a6b0c8120eda · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:43.717974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.536300Z digest=sha256:c27cca0310476ee819b39aa7ea4b648f73ed8cae9cfacd747fd1207df8a67ea0

Observation ae59b383-af8f-4554-b983-7396f10b9899 · outbound

This paper cites BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:41.632604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:41.632604Z digest=sha256:cf294ad24fd11fa7f72a91104273bf54050929d3eedb0b1d01f0bc00d2e33507

Observation c2df6924-b4af-4fe5-9f72-5b91365c7c59 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:43.606652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.711667Z digest=sha256:25d518da525f960a7b5cf3244b73bb7f72fdd5fcbd3eac36b2f4a4ed70f63d79

Observation 62af31d0-cb66-4405-90d3-ef41de1722fc · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:43.462187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.797832Z digest=sha256:f5d0b60b72ac12a09cf2ce96de8c893798ab9b2148ceef769a26e72ea98b7969

Observation b01ada29-adc7-4c11-b892-1e49781153d7 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:43.308686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:41.879370Z digest=sha256:14ec7599c4440be0ea6b7bbc802d850034a2da01ad61e65aa86181f99e4242e1

Observation e61df2d5-cc67-40ef-b39d-ac2e7fcbcc95 · outbound

This paper cites an unresolved cited work.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:43.124303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:26:42.014721Z digest=sha256:9db6e5d9269e733de3cea8b82e8eb34a0e5ebddd0764d5990c249213a8a9e5f4

Observation 90101643-26e0-4848-be52-20a40739e176 · outbound

This paper cites online" 'onlinestring :=.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving online" 'onlinestring :=

Reference 31

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unresolved
no resolver link, observed 2026-08-07T15:26:42.090828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:42.090828Z digest=sha256:448324cf83cee7190d9eccb68826e520bbed3e3d3f739e16653a27187c4e7a5c

Observation 9f452529-3582-49da-8f39-f853cef5e733 · outbound

This paper cites write newline.

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving write newline

Reference 32

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unresolved
no resolver link, observed 2026-08-07T15:26:42.197585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:42.197585Z digest=sha256:4b68f24fa316beb2e5f3d16c9453ab7f38b768ed97c1a40450b64fbaebb0f5d0

Pith citing papers

Observation b310e224-177f-4067-85a8-434229380fed · inbound

SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling cites this paper.

SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:40:48.794657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:40:48.124356Z digest=sha256:0b6da99c10013c1cb6a00badd5e91e3f5de97626ea83ec49f1b8912799e99aa7