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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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T04:13:05.328492Z

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T02:33:28.149013Z digest=sha256:dde292e2149cde84a6284715fe73fbca305b4d8b4e4816d6f5bbf9b23704612c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T04:13:05.328492Z digest=sha256:b2c4c1fd3c366c62045055e96dc827557ef6a0d947be825c182b51d357dff071

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T14:18:33.768962Z digest=sha256:e712075945a15f0ffacb8d200606a5a0565d1e1efe74c78746f6d46d030ab146

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:58:08.142822Z digest=sha256:c90c8fda4ff4afdddc79c9a791dc65692700786d753fdc38ca6d7cfaaaa2648e

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-08T17:00:12.024370Z digest=sha256:bfea1813f19cff1405e61f2f25b8f0a911eac9976b06098cc848a7f114fceb41

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T01:04:26.288913Z digest=sha256:20bd26a3e968f6028605c812613f2814cd567a4fecf999de4cdd0c697c91cbda