Paper Citation Record · LEDGER

Can You Detect the Difference?

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2507.10475.

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

pith.paper-citation-record.v1
2507.10475 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:34:54.969255Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:17:45.512293Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy10
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60ab35d9-11dc-45ba-b63a-ffed8fc29dee · outbound

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

Can You Detect the Difference? DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:53.177450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd6c5193-2a15-49d1-97fd-15a91221b3bc · outbound

This paper cites an unresolved cited work.

Can You Detect the Difference? Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:34:57.435088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c9285fb-844e-4b95-b473-a7c8e952a41c · outbound

This paper cites an unresolved cited work.

Can You Detect the Difference? Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:34:57.418314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bca65c1-4144-4caa-942a-f302e5a7a005 · outbound

This paper cites Large Language Diffusion Models.

Can You Detect the Difference? Large Language Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:53.443397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed8a539b-5c10-4808-ae48-afe8b548ab6b · outbound

This paper cites Ml-gsai/llada.https://github.com/ML-GSAI/LLaDA, 2025.

Can You Detect the Difference? Ml-gsai/llada.https://github.com/ML-GSAI/LLaDA, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:57.401833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f9f87df-f4ad-4202-aaf5-93c75f504bbd · outbound

This paper cites Gsai-ml / llada.https://huggingface.co/GSAI-ML, 2025.

Can You Detect the Difference? Gsai-ml / llada.https://huggingface.co/GSAI-ML, 2025

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:57.269829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 895f9126-e455-457f-802f-3a3eefcadd39 · outbound

This paper cites DAMAGE: Detecting Adversarially Modified AI Generated Text.

Can You Detect the Difference? DAMAGE: Detecting Adversarially Modified AI Generated Text

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:53.782247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d13225-1353-40a9-9e87-118806f29ea8 · outbound

This paper cites Best AI content detectors of 2025 (free & paid).

Can You Detect the Difference? Best AI content detectors of 2025 (free & paid)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:57.021078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac5931e0-38f4-4881-967c-e9cab4b99141 · outbound

This paper cites A watermark for large language models.

Can You Detect the Difference? A watermark for large language models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:56.721942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08949ca5-b6fa-476e-a4f0-82022df20edf · outbound

This paper cites A robust semantics- based watermark for large language model against paraphrasing.

Can You Detect the Difference? A robust semantics- based watermark for large language model against paraphrasing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:56.479100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a6c64f81-292e-46ac-a66a-96ba027d343d · outbound

This paper cites In-Context Watermarks for Large Language Models.

Can You Detect the Difference? In-Context Watermarks for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:54.107984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f64184-06bd-4c4e-9227-50a7beadfb79 · outbound

This paper cites Scalable watermarking for identifying large language model outputs.Nature, 634(8035):818–823, 2024.

Can You Detect the Difference? Scalable watermarking for identifying large language model outputs.Nature, 634(8035):818–823, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:56.263775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9edb740-53cb-4938-89b4-133d0427f57a · outbound

This paper cites Improved Unbiased Watermark for Large Language Models.

Can You Detect the Difference? Improved Unbiased Watermark for Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:54.329141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99005a1-592e-4c64-8429-30537ab0c280 · outbound

This paper cites Language Models are Few-Shot Learners.

Can You Detect the Difference? Language Models are Few-Shot Learners

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:54.406982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e71255d-24fd-4539-95b5-77b7c30bd7e1 · outbound

This paper cites an unresolved cited work.

Can You Detect the Difference? Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:34:55.994484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bbf6379-c19c-454b-b714-dc055bd0875a · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

Can You Detect the Difference? Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:54.602751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d5ccd3-b416-42b0-a32a-4801f2f227f9 · outbound

This paper cites kaggle/arxiv-paper-abstracts.

Can You Detect the Difference? kaggle/arxiv-paper-abstracts

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:55.811278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f31f6add-883f-43d6-a72d-6099a9caef36 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Can You Detect the Difference? Bleu: a method for automatic evaluation of machine translation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:55.610564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7722c85e-72a9-4552-8aa9-d324d1f18d3d · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries.

Can You Detect the Difference? ROUGE: A package for automatic evaluation of summaries

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:55.418950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93a5a6b9-70dd-4773-929e-b6fe31630f02 · outbound

This paper cites MIT Press, Cambridge, MA, 2016.

Can You Detect the Difference? MIT Press, Cambridge, MA, 2016

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:55.279597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation ffb83593-b335-45e5-92aa-0411609dfe87 · inbound

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation Can You Detect the Difference?

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-02T05:17:45.512293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.