Paper Citation Record · LEDGER

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.12519.

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

pith.paper-citation-record.v1
2305.12519 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:15.733024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:55:23.568481Z

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 397782c0-952c-4393-a6bd-15d1338b7cfe · inbound

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews cites this paper.

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T02:48:47.501333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aaef70bd-d2ce-49ca-8570-870327d4d126 · inbound

DART: An AIGT Detector using AMR of Rephrased Text cites this paper.

DART: An AIGT Detector using AMR of Rephrased Text DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:07.792418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd197b2-3650-4ad3-a3ba-0d8b2d89dce4 · inbound

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems cites this paper.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Reference 219

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:15.733024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d2c1d6-0239-4875-907e-0f5a3518b436 · inbound

Detecting LLM-generated Code with Subtle Modification by Adversarial Training cites this paper.

Detecting LLM-generated Code with Subtle Modification by Adversarial Training DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:09.419879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae9cdfc-589b-4e27-93a9-d5a012ea6f86 · inbound

Understanding the Ability of LLMs to Handle Character-Level Perturbation cites this paper.

Understanding the Ability of LLMs to Handle Character-Level Perturbation DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-04T09:39:03.004583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4683a3f-8e49-4b2d-80d3-7c95f15f0bbf · inbound

Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection cites this paper.

Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:54.144502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b93718d-6ec3-4c9e-9f05-814a406f045f · inbound

Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement cites this paper.

Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:55:23.571843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.