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Paper Citation Record · LEDGER

DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.16949.

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

pith.paper-citation-record.v1
2409.16949 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:37.514536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:53:05.691457Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52269838-4fbd-4930-84d2-22555ebf9a86 · inbound

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:37.514536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:37.514536Z digest=sha256:4ca28f283764337335439affd54bc553b8828b53872f6e6d38cc9b62102e1ac4

Observation 1b651da3-3a39-4044-9345-f696d7814eee · inbound

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models cites this paper.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:53:05.697489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T11:53:05.561340Z digest=sha256:1a19fa98e37078586613d5a3ac8f7dbfa5e9ae13924392f729a6c70ee025b901