Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.12519.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-25T04:52:53.554537Z
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 2026-08-01T06:32:01.292127+00:00.
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 2026-08-01T06:32:01.292127+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 2026-08-01T06:32:01.292127+00:00.