Paper Citation Record · LEDGER

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy

As of 5 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2604.16923.

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

pith.paper-citation-record.v1
2604.16923 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:25:55.925560Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

22 of 22 outbound references displayed

verified exact8
verified fuzzy8
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9edcd43a-45cd-4b23-bedb-845c95611b67 · outbound

This paper cites GPT-4 Technical Report.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy GPT-4 Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T07:26:59.416670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation edc06384-9119-41e3-b5cd-dfde40058280 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:26:59.395682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4fbaec3e-02e7-43d1-ae63-21a430011b53 · outbound

This paper cites Your language model can secretly write like humans: Contrastive paraphrase attacks on llm-generated text detectors.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Your language model can secretly write like humans: Contrastive paraphrase attacks on llm-generated text detectors

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.813548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 224269b2-5639-42cb-b752-f9ca4143ff50 · outbound

This paper cites The Llama 3 Herd of Models.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy The Llama 3 Herd of Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:26:59.406227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7ffe38b9-49f1-4f1c-962a-72b6045fb131 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:26:59.392864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5f1cc88b-eb75-401b-a55f-9ec2d4a75014 · outbound

This paper cites B., and Lapata, M.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy B., and Lapata, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.809437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cca8b72f-8a26-4fe6-9dc1-489398ee9aed · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:43:45.999902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3888a2a5-c6cc-4a75-bd26-eee737a4f3af · outbound

This paper cites C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:26:59.401337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 09fc3b2d-5a1f-42b3-9a06-1953a661b45f · outbound

This paper cites Proximal Policy Optimization Algorithms.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Proximal Policy Optimization Algorithms

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:26:59.403742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46fee38c-9127-4ba4-8887-c7d375e84835 · outbound

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

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Release Strategies and the Social Impacts of Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:17:32.011804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7ea1eae-d38f-4cef-818e-736041b6a06a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:26:59.414056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55a5e1c4-53c8-444d-a84d-4fe2837e9ee6 · outbound

This paper cites Ghost- buster: Detecting text ghostwritten by large language models.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Ghost- buster: Detecting text ghostwritten by large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.815442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f4e551f-d4f1-4351-9aad-a0c18b558540 · outbound

This paper cites Moses: Uncertainty-aware ai-generated text detection via mixture of stylistics experts with conditional thresholds.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Moses: Uncertainty-aware ai-generated text detection via mixture of stylistics experts with conditional thresholds

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.823067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e2a1352-8046-4589-9316-cc2b49f68dfb · outbound

This paper cites A Survey of Large Language Models.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy A Survey of Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:26:59.411825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f9fd3b7-0b74-46ae-9fec-0646528897c8 · outbound

This paper cites Adadetectgpt: Adaptive detection of llm-generated text with statistical guarantees.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Adadetectgpt: Adaptive detection of llm-generated text with statistical guarantees

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:26:59.421683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f9be63c-dbfb-43d0-8e6d-611fad1ec909 · outbound

This paper cites Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:26:59.419261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9ba1ac99-1e6c-44b7-9c44-e3a54de31742 · outbound

This paper cites Proofs To begin, we first present two technical assumptions, which is analogous to the setting introduced in (Zhou et al., 2025).

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Proofs To begin, we first present two technical assumptions, which is analogous to the setting introduced in (Zhou et al., 2025)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.821221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5730bc78-941a-4eb6-b63e-fb7d32b2001b · outbound

This paper cites However, this may not hold in real-world scenarios since human-written text tends to exhibit higher variance due to lexical and semantic diversity.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy However, this may not hold in real-world scenarios since human-written text tends to exhibit higher variance due to lexical and semantic diversity

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.818991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 03638d2b-354c-4437-9109-43ede264671d · outbound

This paper cites an unresolved cited work.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-21T13:35:12.817054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 271e8762-fb96-45a6-a6f3-ed6e7e71fa07 · outbound

This paper cites We primarily select models with approximately 7B parameters.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy We primarily select models with approximately 7B parameters

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.811525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation af0fc0f1-ce1e-44b2-a023-f0e9c4b69b32 · outbound

This paper cites The Multi-generator, Multi-domain, and Multi-lingual dataset is a large-scale benchmark for AI-generated text detection in black-box scenarios.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy The Multi-generator, Multi-domain, and Multi-lingual dataset is a large-scale benchmark for AI-generated text detection in black-box scenarios

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:35:12.807444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 408e0ba0-0fae-4bc2-972f-4e3a7fcd940d · outbound

This paper cites On the contrary, RAI demonstrates performance comparable to the best baseline, while LAPD attains an average TPR of 92.27%, obtaining a substantial relative improvement of 76.81%.

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy On the contrary, RAI demonstrates performance comparable to the best baseline, while LAPD attains an average TPR of 92.27%, obtaining a substantial relative improvement of 76.81%

Reference 22

Resolution: malformed identifier; arxiv_id, observed 2026-05-10T07:26:59.424396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.