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Paper Citation Record · LEDGER

Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2304.00723.

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

pith.paper-citation-record.v1
2304.00723 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:56.159764Z

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

21
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 696484c2-7289-4dc8-aa87-444543f50107 · inbound

Direct Preference Optimization: Your Language Model is Secretly a Reward Model cites this paper.

Direct Preference Optimization: Your Language Model is Secretly a Reward Model Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:33:28.293218Z

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=2026-05-11T02:33:28.149013Z digest=sha256:7e81f2133ba12b2e7ce02bebd04e5529bcab2a3376c47318a595d878cefc2d19

Observation ddfbfe60-ffc6-4297-883f-9295586ca0a1 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:52.877100Z

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=2026-05-24T04:13:05.328492Z digest=sha256:77a7a94d0973456af2135324d842d40ef710f122d6bef1b74470a2960773a903

Observation e8432b77-8764-4c34-9eab-5c8ff4ae6ef0 · inbound

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation cites this paper.

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:56.159764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:56.159764Z digest=sha256:faf98148a8432df3afe86c84f97a37c26db051d42893c74b19c63d813a05efcb

Observation 52f8eaee-0305-42b0-81fc-b34c63e1a214 · inbound

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking cites this paper.

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T20:34:01.251652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:34:01.251652Z digest=sha256:32fcff9e12ce1c5cecf784f122b296e328da219320196952d17caf7f3d5f7688

Observation 5d796928-52f6-427a-806b-734f005c9c3c · inbound

Decision Information Meets Large Language Models: The Future of Explainable Operations Research cites this paper.

Decision Information Meets Large Language Models: The Future of Explainable Operations Research Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-07T19:51:22.219530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:51:22.219530Z digest=sha256:2b6db82350a696f7c1ea875c7df8dce5018a556f9b0bf32ae7b2f9c55856a023

Observation c365ccec-9404-4f56-895d-8d0e8378f3f6 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 196

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:27.197773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:27.197773Z digest=sha256:15571f106674d21f709f48545bb93fa3af98795db4ba52a1d28bfc474e151808

Observation 93b8220e-6d82-420d-b475-2c1eb06a4b72 · inbound

Factored Causal Representation Learning for Robust Reward Modeling in RLHF cites this paper.

Factored Causal Representation Learning for Robust Reward Modeling in RLHF Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:20:13.573558Z

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=2026-05-21T14:18:33.768962Z digest=sha256:7b7e6a8f98a7725f7dd33be7052cb6f17a97ffa78d0f4a495e798525b370e21a

Observation 66e37140-f1ff-4e4d-acfc-6d0477333333 · inbound

A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM cites this paper.

A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:00:42.109736Z

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=2026-05-10T17:58:08.142822Z digest=sha256:4fbc2e7148991f573f1e9320c5a54fc80a0182d872bce6fd842fd68be40567d9

Observation 770080dd-efd7-4515-8355-35ea547c73f3 · inbound

SWAN: Semantic Watermarking with Abstract Meaning Representation cites this paper.

SWAN: Semantic Watermarking with Abstract Meaning Representation Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:09.580600Z

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=2026-05-08T17:00:12.024370Z digest=sha256:2bfad2d4f9fe10528ce958528d5b47d7af8be6a6cf46a7650ad8cc1bc8628202

Observation 4c1bab5b-90ef-4125-89d7-d81d5e352536 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:45:59.619098Z

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=2026-05-11T01:04:26.288913Z digest=sha256:24929942abd79b43c1c0699cee58067f1934d1a52b6a80ff3ea58e356f73e427