Paper Citation Record · LEDGER

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.20197.

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

pith.paper-citation-record.v1
2506.20197 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:07.481560Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:50:07.322483Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:45.921821Z

Reference resolution

27 of 27 outbound references displayed

verified exact1
verified fuzzy11
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cf20b5c-5fe1-4112-96c5-8bff875fcc42 · outbound

This paper cites Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.292204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aafa2cb-56cb-41b9-a43f-0c4135a114e8 · outbound

This paper cites The complexity of approximating the entropy.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach The complexity of approximating the entropy

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.625643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0905fc9e-dad7-4ecc-9cbb-62ff645de5e3 · outbound

This paper cites Efficient distance approximation for structured high-dimensional distributions via learning.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Efficient distance approximation for structured high-dimensional distributions via learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.596523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d7c524b5-774b-4a26-bafe-a3904ae1d2f3 · outbound

This paper cites Canonne and Ronitt Rubinfeld.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Canonne and Ronitt Rubinfeld

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.571079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d779b980-fe2a-4b51-a5f0-be49f36dbb6b · outbound

This paper cites Canonne, Dana Ron, and Rocco A.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Canonne, Dana Ron, and Rocco A

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:01:08.156402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49da855e-ee62-4d6b-b8f3-fa060f4be947 · outbound

This paper cites The Price of Tolerance in Distribution Testing.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach The Price of Tolerance in Distribution Testing

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:01:08.033905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41a3b4ee-f63d-4131-b72f-7863f8972ba8 · outbound

This paper cites Canonne, Ayush Jain, Gautam Kamath, and Jerry Li.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Canonne, Ayush Jain, Gautam Kamath, and Jerry Li

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.548271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2cca4a2-13dc-45af-b713-8b58190bbd3d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.338773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29c7d87-ce75-4eae-a055-ac630ca9c05a · outbound

This paper cites Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.344907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca60473a-12f0-4195-81f2-ac9b902f5f94 · outbound

This paper cites The Foundations of Tokenization: Statistical and Computational Concerns.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach The Foundations of Tokenization: Statistical and Computational Concerns

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.352057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f056cb75-b59c-4a3d-a54d-6a9b394a09e3 · outbound

This paper cites Watermarking Pre-trained Language Models with Backdooring.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Watermarking Pre-trained Language Models with Backdooring

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.362202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de90c0a8-af46-4056-9468-538e685d4b1e · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.370957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9124d34e-5dee-4a02-9401-3215b637b0ed · outbound

This paper cites On the Reliability of Watermarks for Large Language Models.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach On the Reliability of Watermarks for Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.376482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17646165-3858-4cfe-830b-0a08bf27cf3c · outbound

This paper cites J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:01:07.798794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2aa7d378-cc63-4a61-86c5-45ac9e5ab541 · outbound

This paper cites The tight constant in the D voretzky-- K iefer-- W olfowitz inequality.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach The tight constant in the D voretzky-- K iefer-- W olfowitz inequality

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.387047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39e38ff-2bdb-47d2-b433-f503137eed31 · outbound

This paper cites Detectgpt: Zero-shot machine-generated text detection using probability curvature.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Detectgpt: Zero-shot machine-generated text detection using probability curvature

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.392793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09bd331-db30-451d-af07-e63e20b69137 · outbound

This paper cites Probability-revealing samples.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Probability-revealing samples

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.492893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d62e2558-56f9-40d6-8227-52d91dbbe1e8 · outbound

This paper cites Stable code 3b, 2023.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Stable code 3b, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.453928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30b0ace6-cb44-4cd1-ab23-efe44b4c84a2 · outbound

This paper cites Language models are unsupervised multitask learners.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Language models are unsupervised multitask learners

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.412200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4e35ad-85f6-445b-b301-d2f38d6539a2 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Neural Machine Translation of Rare Words with Subword Units

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.421910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf55933-d0df-4a9c-a6e8-c2c462ec18d3 · outbound

This paper cites Did you train on my dataset? towards public dataset protection with cleanlabel backdoor watermarking.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Did you train on my dataset? towards public dataset protection with cleanlabel backdoor watermarking

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.402102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ed6e69e-3880-4471-978b-f110ced5f49e · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach CodeGemma: Open Code Models Based on Gemma

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.435534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6124b0e0-1cac-4913-8ea3-0b1863dd3b84 · outbound

This paper cites Authorship attribution for neural text generation.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Authorship attribution for neural text generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.373920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 576353f9-6303-4621-a27a-56ac87eea02e · outbound

This paper cites Topformer: Topology-aware authorship attribution of deepfake texts with diverse writing styles.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Topformer: Topology-aware authorship attribution of deepfake texts with diverse writing styles

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.348180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2bbfd28-097d-4fdc-b1d4-67a865a0c501 · outbound

This paper cites Estimating the unseen: An n/ n -sample estimator for entropy and support size, shown optimal via new clts.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Estimating the unseen: An n/ n -sample estimator for entropy and support size, shown optimal via new clts

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.314721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68a8cf5d-a964-4841-9936-5f3bf80fb0b5 · outbound

This paper cites A survey on llm-generated text detection: Necessity, methods, and future directions.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach A survey on llm-generated text detection: Necessity, methods, and future directions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:08.273330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92298dca-ccb0-4d1f-89df-96cc5765a0cc · outbound

This paper cites write newline.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach write newline

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.481560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 383f04f3-b9df-4a15-b625-26e7ad4b965a · inbound

Black-Box Forensics for Conversational LLM Agents cites this paper.

Black-Box Forensics for Conversational LLM Agents Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:39:45.923729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.