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Paper Citation Record · LEDGER

Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.04251.

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

pith.paper-citation-record.v1
2404.04251 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:36:24.759801Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:23:52.366906Z

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 a53ccde3-da8e-44e1-bcad-a2c239059785 · inbound

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? cites this paper.

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:24.759801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:24.759801Z digest=sha256:34687ff37f52b2c5cf85d2c6d14f0b431cdc1b9b837433d4ce5a44b324847a6a

Observation bad0ac32-cd6e-4368-b0ef-818cda2c0392 · inbound

EvalGIM: A Library for Evaluating Generative Image Models cites this paper.

EvalGIM: A Library for Evaluating Generative Image Models Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T15:50:16.858552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:50:16.858552Z digest=sha256:b93962eb0bdddadc285ecc8b6fb23a33cbe6906b50a6759f76f5197ff3e1911c

Observation 83920a0b-495f-4477-991d-8fc32481b576 · inbound

What makes a good metric? Evaluating automatic metrics for text-to-image consistency cites this paper.

What makes a good metric? Evaluating automatic metrics for text-to-image consistency Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T12:38:06.636192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:38:06.636192Z digest=sha256:1033a281a7a9bb75ea557fdbbdec090fc516eeb4992168292c38eeff56ae65c0

Observation 96e1344e-2fcf-4a6a-8a4e-709b867c2c07 · inbound

Can Vision Language Models Understand Mimed Actions? cites this paper.

Can Vision Language Models Understand Mimed Actions? Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:23:52.518687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:23:46.914781Z digest=sha256:f29138fb0b8e29a90f8ef70667bae60804219a34984a831751dfd8dd585ca67f