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Paper Citation Record · LEDGER

JourneyDB: A Benchmark for Generative Image Understanding

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.00716.

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

pith.paper-citation-record.v1
2307.00716 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:16.352580Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:48:36.099368Z

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 87bc44b6-3402-4881-b296-bfb465960347 · inbound

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation cites this paper.

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation JourneyDB: A Benchmark for Generative Image Understanding

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:48:36.104359Z

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=2026-05-15T22:48:36.010306Z digest=sha256:0403447953cd539896b91e5b43463357f51da2d73da3a05f81c0b39991c1a059

Observation 741cedfa-0faf-4b3b-9a43-10fdb11400f4 · inbound

Ambient Diffusion Omni: Training Good Models with Bad Data cites this paper.

Ambient Diffusion Omni: Training Good Models with Bad Data JourneyDB: A Benchmark for Generative Image Understanding

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:16.352580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.352580Z digest=sha256:0451241faa9069afd1da5e1d901a3bb622504c5b81a6268db12bac8f1f1e9da7

Observation e3a404aa-0e04-44f3-96d6-3b45ed56fd61 · inbound

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis cites this paper.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis JourneyDB: A Benchmark for Generative Image Understanding

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:37.018164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:37.018164Z digest=sha256:28d9867f673df22941f24c42688902ad758176c33fbd868c68d039586eb58293