Paper Citation Record · LEDGER

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.11506.

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

pith.paper-citation-record.v1
2412.11506 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:56:47.966630Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

32 of 32 outbound references displayed

verified exact3
verified fuzzy8
unresolved20
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f860f01f-a897-4745-b645-93e04c8b8904 · outbound

This paper cites PaLM 2 Technical Report.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection PaLM 2 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.768166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88718a1e-256a-49bd-9152-f72139e322d9 · outbound

This paper cites Hierarchical neural story generation.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Hierarchical neural story generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.440238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 01dd2b39-8eb4-41da-b6f0-1bbb73b79f8b · outbound

This paper cites Unifying Human and Statistical Evaluation for Natural Language Generation.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Unifying Human and Statistical Evaluation for Natural Language Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.803073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4370ce-ca12-4ba8-8353-3c598d65e8ea · outbound

This paper cites Pubmedqa: A dataset for biomedical research question answering.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Pubmedqa: A dataset for biomedical research question answering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.809862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7444d2-7d91-4f76-a2a5-07fc9a5feecc · outbound

This paper cites Robust Distortion-free Watermarks for Language Models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Robust Distortion-free Watermarks for Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.833459Z

Source-reported events for the cited work

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Observation 550cb805-a2c5-4e48-b7e8-d9735e6383fe · outbound

This paper cites Ai- generated text boundary detection with roft.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Ai- generated text boundary detection with roft

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.417101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef68aa74-bebb-4e06-8067-046afc2c3448 · outbound

This paper cites Detecting fake content with relative en- tropy scoring.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Detecting fake content with relative en- tropy scoring

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.400695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fa76088-0f1c-404a-869b-43e6656dbde7 · outbound

This paper cites Smaller Language Models are Better Black-box Machine-Generated Text Detectors.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Smaller Language Models are Better Black-box Machine-Generated Text Detectors

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.851062Z

Source-reported events for the cited work

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Observation f6682fc7-2574-42aa-a49b-8adf74d744d2 · outbound

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

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.856656Z

Source-reported events for the cited work

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Observation 9e1ea547-ff6b-4bc3-81fd-4bd24d77423c · outbound

This paper cites Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.861928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b13bbf-4755-4994-9b0f-33ff15ffc8c9 · outbound

This paper cites GPT-4 Technical Report.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection GPT-4 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.867472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2c7f09-e596-42d0-be99-93cbf4cbae8a · outbound

This paper cites On the risk of misinformation pollution with large language models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection On the risk of misinformation pollution with large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.380622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ecfcfbfa-4256-48c5-896a-afef16b20412 · outbound

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

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Release Strategies and the Social Impacts of Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.882886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a75f85a-a85c-40b0-a103-d0716cd690d4 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection TrustLLM: Trustworthiness in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.900533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba095a7-3fb1-4600-b899-9ffd2a4035a7 · outbound

This paper cites The Impact of Prompts on Zero-Shot Detection of AI-Generated Text.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection The Impact of Prompts on Zero-Shot Detection of AI-Generated Text

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:56:48.122876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b7c22c4-3801-4e59-a27b-7daf0606b50b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Gemini: A Family of Highly Capable Multimodal Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.912104Z

Source-reported events for the cited work

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Observation e96d5602-cc98-4c23-8c17-fdab17123694 · outbound

This paper cites Authorship attribution for neural text genera- tion.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Authorship attribution for neural text genera- tion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.364652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 59a5c25a-c31d-4274-b6de-55ccf7ca845a · outbound

This paper cites Ethical and social risks of harm from Language Models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Ethical and social risks of harm from Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.927365Z

Source-reported events for the cited work

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Observation 2655fd17-3758-456f-937a-fc1b2f03bdc6 · outbound

This paper cites Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:56:48.065771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5b53b18-a8ec-49d8-bea0-545610436e8f · outbound

This paper cites Qwen2 Technical Report.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Qwen2 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.938333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5ced82-6650-43aa-88c3-061654ac8624 · outbound

This paper cites DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.945503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783c269c-fe71-406f-a294-acf6307ef308 · outbound

This paper cites DALD: Improving Logits-based Detector without Logits from Black-box LLMs.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection DALD: Improving Logits-based Detector without Logits from Black-box LLMs

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:56:48.014011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06bad759-38a6-41e4-878a-a987ae0f20e3 · outbound

This paper cites The ranges are empirically decided, which balance the coverage of the possible choices and the size of the table.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection The ranges are empirically decided, which balance the coverage of the possible choices and the size of the table

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.325151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2f6884b-fd14-4182-94fd-3adb8b94f0a9 · outbound

This paper cites Our testing encompasses two paraphrasing settings: high lexical diversity (60 L) and high-order diversity (60 O).

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Our testing encompasses two paraphrasing settings: high lexical diversity (60 L) and high-order diversity (60 O)

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4d6ff45-4c73-4ba0-bbb9-7d3596146caa · outbound

This paper cites We approximate the pattern using parameterized distributions, allocating the remaining probability mass (as ‘*’ indicates) to ranks larger thanK.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection We approximate the pattern using parameterized distributions, allocating the remaining probability mass (as ‘*’ indicates) to ranks larger thanK

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.338384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3ad9a68-210b-4e35-a73f-f33ccfa7ff81 · outbound

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

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Can AI-Generated Text be Reliably Detected?

Reference 2014

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Source-reported events for the cited work

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Observation 6dfb1344-8f2d-4a69-a920-eef6957c84c8 · outbound

This paper cites DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.888641Z

Source-reported events for the cited work

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Observation 6f219c1e-1a1e-4b0e-87b4-300c85b5e49c · outbound

This paper cites Ghostbuster: Detecting text ghostwrit- ten by large language models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Ghostbuster: Detecting text ghostwrit- ten by large language models

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:56:48.351731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 899ae7ee-2a3c-458c-98e7-a8c59258c72a · outbound

This paper cites Language models are few-shot learners.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Language models are few-shot learners

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.784500Z

Source-reported events for the cited work

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Observation bdae5f9c-5928-44e3-837b-96632a3717ad · outbound

This paper cites A Watermark for Large Language Models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection A Watermark for Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.816126Z

Source-reported events for the cited work

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Observation fb6a51e4-2f37-4574-8231-f6c49574c396 · outbound

This paper cites The Llama 3 Herd of Models.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection The Llama 3 Herd of Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.790027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8af67723-e65a-412d-b12b-a2439a2b5ded · outbound

This paper cites Real or Fake? Learning to Discriminate Machine from Human Generated Text.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Real or Fake? Learning to Discriminate Machine from Human Generated Text

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T14:56:47.773233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.