Paper Citation Record · LEDGER

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.04378.

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

pith.paper-citation-record.v1
2502.04378 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:06:30.214646Z

measured 22 of 22 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 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

22 of 22 outbound references displayed

verified exact2
verified fuzzy16
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38547892-6bc1-494c-8b44-d3825a5f6e52 · outbound

This paper cites an unresolved cited work.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T05:06:30.041130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e5b482-ddac-4bd1-a1fa-6a40584079e4 · outbound

This paper cites Machine learning test- ing: Survey, landscapes and horizons,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Machine learning test- ing: Survey, landscapes and horizons,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.834955Z

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.

Observation 849b3800-b8f7-43be-9b65-e29929383dc8 · outbound

This paper cites Deepbillboard: systematic physical-world testing of autonomous driving systems,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Deepbillboard: systematic physical-world testing of autonomous driving systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.819630Z

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.

Observation 6e1deaba-a54c-4eb1-9be5-fd34a5b10ef2 · outbound

This paper cites A miss is as good as A mile: Metamorphic testing for deep learning operators,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation A miss is as good as A mile: Metamorphic testing for deep learning operators,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.803608Z

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.

Observation 31dd2035-d67f-4cc4-8372-4a68c27d8c61 · outbound

This paper cites Validating a deep learning framework by metamorphic testing,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Validating a deep learning framework by metamorphic testing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.769576Z

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.

Observation dec69247-f5d3-48c3-89a8-88c052370fe9 · outbound

This paper cites Deeptest: automated testing of deep-neural-network-driven autonomous cars,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Deeptest: automated testing of deep-neural-network-driven autonomous cars,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.722299Z

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.

Observation 9145ce15-8102-49a6-87ea-b3f6331aa99d · outbound

This paper cites Deeproad: Gan-based metamorphic testing and input validation framework for autonomous driving systems,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Deeproad: Gan-based metamorphic testing and input validation framework for autonomous driving systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.659794Z

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.

Observation 5214dc1e-4324-4131-9b83-0c46510acb85 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Imagenet: A large-scale hierarchical image database,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.577967Z

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.

Observation f388bf4e-d350-4d28-b981-8a8758f64016 · outbound

This paper cites SHIFT: A synthetic driving dataset for continuous multi- task domain adaptation,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation SHIFT: A synthetic driving dataset for continuous multi- task domain adaptation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.545098Z

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.

Observation 0c243ac3-e801-4fd3-9033-d05a8e781a4e · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation High- resolution image synthesis with latent diffusion models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.526848Z

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.

Observation 3d909125-b371-4fce-bfdc-14c29c812386 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Adding conditional control to text-to-image diffusion models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.512048Z

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.

Observation ace1db1a-596d-4150-bc59-afe58b2caf64 · outbound

This paper cites Deep residual learning for image recognition,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Deep residual learning for image recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.496823Z

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.

Observation 26dc80aa-3d31-4b24-a001-feea646c3268 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.481887Z

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.

Observation 918a658a-76d9-4d72-890d-aecda933e9d9 · outbound

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

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.466923Z

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.

Observation 10743386-c7b8-44d2-b1ef-7cea27ffd579 · outbound

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

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T05:06:30.159709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f713f5-be8c-468c-aca9-d5309b1f8303 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Chain-of-thought prompting elicits reasoning in large language models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T05:06:30.164879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d25f079a-27db-44cc-b002-db722de82b8f · outbound

This paper cites Deepxplore: automated whitebox testing of deep learning systems,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Deepxplore: automated whitebox testing of deep learning systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.439277Z

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.

Observation 70486406-33fb-4fcc-9ba4-ac5ecd4db055 · outbound

This paper cites Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T05:06:30.174003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508035ed-2a92-4663-afa9-2fb06692b812 · outbound

This paper cites Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-09T05:06:30.349556Z

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.

Observation e3b1f8e9-30b4-46c9-b47b-9094e6671a80 · outbound

This paper cites Assessing quality metrics for neural reality gap input mitigation in autonomous driving testing,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Assessing quality metrics for neural reality gap input mitigation in autonomous driving testing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.417696Z

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.

Observation 9128f74f-f5d1-47ef-8195-18c9223ad5d8 · outbound

This paper cites Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T05:06:30.316430Z

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.

Observation 6880bb20-937a-4661-9ef1-94825de45b1e · outbound

This paper cites Diversify your vision datasets with automatic diffusion-based augmen- tation,.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Diversify your vision datasets with automatic diffusion-based augmen- tation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:06:30.400084Z

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.

Pith citing papers

No inbound Pith citation observations are available.