Paper Citation Record · LEDGER

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.01046.

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

pith.paper-citation-record.v1
2608.01046 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:39:44.893609Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact2
verified fuzzy18
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 322d77cb-18b6-4bdb-b388-a6015553a51e · outbound

This paper cites GPT-3.5,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text GPT-3.5,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.895003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fc1a381-7c4f-4f02-a218-9f750d82c461 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:42.490242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6346a17-5fec-4b8e-a7eb-beb525cbdfc0 · outbound

This paper cites Claude: A Large Language Model,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Claude: A Large Language Model,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.693309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5712b1dd-96c0-4601-9733-6df304f9fe86 · outbound

This paper cites A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.458376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7799e91f-c0e5-4405-9709-78c82a8f733b · outbound

This paper cites Unified Large Language Models for Misinformation Detection in Low-Resource Linguistic Settings.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Unified Large Language Models for Misinformation Detection in Low-Resource Linguistic Settings

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:39:45.396504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e0ad0fd-f32a-478d-b0f3-6f2549664773 · outbound

This paper cites GLTR: Statistical Detection and Visualization of Generated Text,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text GLTR: Statistical Detection and Visualization of Generated Text,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.268722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88a2ff20-27d7-4aa5-85d1-a803f25afe1c · outbound

This paper cites Automatic Detection of Generated Text is Easiest when Humans are Fooled,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Automatic Detection of Generated Text is Easiest when Humans are Fooled,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.074619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4514c9dd-26d9-4689-95f8-330f690f4664 · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Release Strategies and the Social Impacts of Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:43.027239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0834f784-06bf-47be-8578-0e02ae52a0a3 · outbound

This paper cites GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:43.129022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d288af2-2bc0-4cc1-960a-2c88bbbff65f · outbound

This paper cites HULLMI: Human vs LLM Identification with Explainability,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text HULLMI: Human vs LLM Identification with Explainability,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.846317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8f910f8-b9f6-403c-8627-63c201f2cf42 · outbound

This paper cites Multimodal generative AI for human motion under- standing and generation: A survey and way forward,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Multimodal generative AI for human motion under- standing and generation: A survey and way forward,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.649442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c5e9c59-c45a-467e-aa5b-3c5484cb50c4 · outbound

This paper cites DeBERTa: Decoding-Enhanced BERT with Disentangled Attention,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text DeBERTa: Decoding-Enhanced BERT with Disentangled Attention,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.470111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d17df43-5447-4d41-b811-b47a912060b1 · outbound

This paper cites Sarang at DEFACTIFY 4.0: Detecting AI-Generated Text Using Noised Data and an Ensemble of DeBERTa Models,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Sarang at DEFACTIFY 4.0: Detecting AI-Generated Text Using Noised Data and an Ensemble of DeBERTa Models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.229893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30dc241b-5916-4742-86fd-b451d45811ef · outbound

This paper cites DetectGPT: Zero-Shot Machine- Generated Text Detection using Probability Curvature,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text DetectGPT: Zero-Shot Machine- Generated Text Detection using Probability Curvature,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.976141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d86011b1-d732-4599-aea5-4d09eb89f669 · outbound

This paper cites Paraphrasing Evades Detectors of AI-Generated Text, but Retrieval is an Effective Defense,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Paraphrasing Evades Detectors of AI-Generated Text, but Retrieval is an Effective Defense,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.740093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e974e6fe-4719-49ca-ba6d-5d40ce04f414 · outbound

This paper cites OpenWebText Corpus,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text OpenWebText Corpus,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.602505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3bcd801-40d9-41b8-a9f7-ac4f08faa855 · outbound

This paper cites Language Models are Unsuper- vised Multitask Learners,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Language Models are Unsuper- vised Multitask Learners,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.393979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b1a7fd4-4620-43f4-b7c4-a7e54b3cd365 · outbound

This paper cites Detecting and Unmasking AI-Generated Texts through Explainable Artificial Intelligence using Stylistic Features,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Detecting and Unmasking AI-Generated Texts through Explainable Artificial Intelligence using Stylistic Features,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.241650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dedeb876-0051-4ae5-bd76-53df843098ca · outbound

This paper cites Testing of Detection Tools for AI-Generated Text,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Testing of Detection Tools for AI-Generated Text,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.025881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb3a7379-8bf2-4f23-87b1-33f0921f9a72 · outbound

This paper cites Can AI-Generated Text be Reliably Detected?.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Can AI-Generated Text be Reliably Detected?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:44.326605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a7cf64-2070-401a-9d1e-f83ce646ef22 · outbound

This paper cites GPT Detectors are Biased Against Non- Native English Writers,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text GPT Detectors are Biased Against Non- Native English Writers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.874642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00bd25ce-6915-4a33-8989-05bcf720cbe4 · outbound

This paper cites A Survey on Detection of LLMs-Generated Content.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text A Survey on Detection of LLMs-Generated Content

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:44.489867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd8955c8-fd2d-48f2-8146-3cd80a6a596e · outbound

This paper cites Language Models are Few-Shot Learners,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Language Models are Few-Shot Learners,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.733064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b608399-6b60-4447-96aa-8391bd36c773 · outbound

This paper cites Training language models to follow instructions with human feedback.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Training language models to follow instructions with human feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:44.704243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1744e55-b6de-4e97-8ff6-b05b361cb7c3 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text Constitutional AI: Harmlessness from AI Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:44.793499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acedfef-ba50-45ce-8610-c9e000d30b26 · outbound

This paper cites MAGE: Machine- Generated Text Detection in the Wild,.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text MAGE: Machine- Generated Text Detection in the Wild,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.562467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 497c4c3a-faac-417d-b334-1796e21653d1 · outbound

This paper cites HULLMI: Human vs LLM identification with explainability.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text HULLMI: Human vs LLM identification with explainability

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:39:45.130008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.