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Paper Citation Record · LEDGER

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2504.15784.

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

pith.paper-citation-record.v1
2504.15784 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:15:14.263235Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5454d203-8d80-4b60-8f56-e155b6c3a38d · inbound

LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing cites this paper.

LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T21:13:12.724054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:13:12.724054Z digest=sha256:6de193fa799057a8405dbde78573a9a1d1460172fedffe26dc1ff524ed5babc1

Observation fa0298d8-82fa-4cf1-98f6-4fd39a020091 · inbound

ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents cites this paper.

ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T14:43:16.343352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:43:16.343352Z digest=sha256:31825ac4a66d955da9388b6536d5fedaf1ae0b47ff994197841e390fede98dfc

Observation 474c2ffa-fee6-47ff-9889-a83659d137ee · inbound

UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning cites this paper.

UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:52.470858Z

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=2026-05-10T18:53:41.835201Z digest=sha256:3c3274c374990b2d993c8bc6c77921c96724da21e8ee9f68651c47fae0e79236

Observation 5c4ca6bf-614d-4c8d-be9b-cd134c8bfef1 · inbound

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs cites this paper.

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T18:42:28.928971Z

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=arxiv_source observed=2026-06-28T18:42:00.845492Z digest=sha256:d414ff7a65eeb6cf95945f5be65191beb8e727417a862d3bee09d207a3ee8a39

Observation fcac67b6-4ef8-4bfc-be27-cccf89313981 · inbound

DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios cites this paper.

DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:07:09.377397Z

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=2026-06-27T22:55:27.743914Z digest=sha256:ee0c53a9fbac7b5531c82a7253f3a9e4b98b7c0f9d7ab3340ed6dfde008c2305

Observation 1d7605d2-d0cc-441e-a00c-a0d1750ab3d2 · inbound

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing cites this paper.

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 217

Resolution
verified exact
arxiv_id, observed 2026-06-27T16:11:02.510630Z

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=arxiv_source observed=2026-06-27T16:09:08.317910Z digest=sha256:1068b6c0b01733e4dcb99e97cfb6f8b73c8f364bf30aa2ee92d576862ee53b05

Observation 2cff704e-7f9a-4ca1-9829-c2517c977a4b · inbound

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation cites this paper.

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-04T23:25:10.873480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:25:10.873480Z digest=sha256:7d067e962209d02c728ed6ec76c004d9e72a71c8c897b4824d991b71bfb38a84

Observation 7534f46e-7fa3-4bc2-b57a-3b078341c651 · inbound

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation cites this paper.

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T00:15:14.263235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:15:14.263235Z digest=sha256:ce52edfa245484a61923e7616938414696dd3cb25fc33aa0b3bb913e456da473