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Paper Citation Record · LEDGER

Training Data Attribution for Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.02174.

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

pith.paper-citation-record.v1
2306.02174 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:37.334101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:47:23.244629Z

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 50fbc533-1022-4060-8ef5-d352ecd9091b · inbound

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge cites this paper.

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge Training Data Attribution for Diffusion Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:06:37.334101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:06:37.334101Z digest=sha256:5da5f27f61aaca76fecd8bf342d89f59846a98f62fd93ef858906e3444810552

Observation 487298c5-1382-4a9b-ab84-42f9a05350b8 · inbound

Understanding Data Influence with Differential Approximation cites this paper.

Understanding Data Influence with Differential Approximation Training Data Attribution for Diffusion Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T18:28:49.458749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:49.458749Z digest=sha256:dc3c8fa2972008bc4775b6fb0ed36f80195633c9e8c1a769e9ca7f3a5637343e

Observation 0f8429ab-1a66-4dee-8dd9-291b77ad8304 · inbound

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis cites this paper.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Training Data Attribution for Diffusion Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T11:38:25.730459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:38:25.730459Z digest=sha256:9bdf20360056aa98b724739c87e62dc718a626db31419d71885fdf7619b6d0d7

Observation 1c8a3a20-4c23-4c21-9f53-0984ab846249 · inbound

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning cites this paper.

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning Training Data Attribution for Diffusion Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T06:35:42.470886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:35:42.470886Z digest=sha256:946b8f93ee069a3e48539e23873f263898d7ababe1ec88876dd282f72e8739f4

Observation f0120d62-7f0a-4524-84de-a5998377a764 · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Training Data Attribution for Diffusion Models

Reference 158

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T15:47:23.246239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:e999c77084469cd9cc4c7d95f325601344af631b717d93eda91f76fe3b4f9e97