Paper Citation Record · LEDGER

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection

As of 4 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2604.16607.

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

pith.paper-citation-record.v1
2604.16607 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T08:47:20.863475Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:06:08.617521Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-10T08:48:01.086456Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2bf94af-ebca-4bfb-bdcb-41941d86a241 · outbound

This paper cites Spotlights and Blindspots: Evaluating Machine-Generated Text Detection.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Spotlights and Blindspots: Evaluating Machine-Generated Text Detection

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-10T08:48:01.089451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca86aea3-8379-4fcb-bac7-c32348983184 · outbound

This paper cites Ta- ble 1 summarizes the selected model variants, de- tailingtheiroriginalevaluationdata, metrics, andre- ported performance.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Ta- ble 1 summarizes the selected model variants, de- tailingtheiroriginalevaluationdata, metrics, andre- ported performance

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.067703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f9ff68e-0b15-4708-83f2-cc4df7a419e6 · outbound

This paper cites an unresolved cited work.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:44.064543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9b755cf0-da52-4bd5-985d-f3caf6d7a3fb · outbound

This paper cites All positive.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection All positive

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.066071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c0e64fc4-c902-4652-ad83-dc305a791091 · outbound

This paper cites Threshold by EER.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Threshold by EER

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-05-20T20:23:44.061423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9c6b4682-ae22-4c79-8d30-7ad124d2f7ee · outbound

This paper cites (2024), who explicitly advocate for AUROC’s threshold- agnostic benefits, and Hans et al.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection (2024), who explicitly advocate for AUROC’s threshold- agnostic benefits, and Hans et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.063014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29432b16-b3ca-4501-b132-acc7ba9115fe · outbound

This paper cites Model behavior patterns in different ways for each attribute.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Model behavior patterns in different ways for each attribute

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.069336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0e7931c8-5272-4d03-ac92-58fab5f1fb1c · outbound

This paper cites Model performance varies sub- stantially across different evaluation frameworks, with each system under specific metric and data conditions.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Model performance varies sub- stantially across different evaluation frameworks, with each system under specific metric and data conditions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.059886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e7988115-74f6-4f65-80a8-52a7a16b8147 · outbound

This paper cites an unresolved cited work.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:44.051839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d40bfbad-1c52-4554-a127-c42b41c8a7b5 · outbound

This paper cites an unresolved cited work.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:44.053268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 56408a23-b29e-423d-98fb-a20fa9524e22 · outbound

This paper cites an unresolved cited work.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:44.056483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 382a21a9-8b65-4128-8526-c98db72c6e3b · outbound

This paper cites Amrita Bhattacharjee, Raha Moraffah, Joshua Gar- land, and Huan Liu.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Amrita Bhattacharjee, Raha Moraffah, Joshua Gar- land, and Huan Liu

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.050137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4b52699-df4d-42e3-b136-7d407396f45a · outbound

This paper cites ZeyanLiu, ZijunYao, FengjunLi, andBoLuo.2024.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection ZeyanLiu, ZijunYao, FengjunLi, andBoLuo.2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.045131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f6e8849-3bd4-43a2-8fb6-ce23624d4343 · outbound

This paper cites an unresolved cited work.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:44.046680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 397aaadb-9014-4fbf-8d4f-5301b5a4fdb6 · outbound

This paper cites InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3964–3992, Bangkok, Thailand.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3964–3992, Bangkok, Thailand

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.048442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21acffbc-7e78-4466-a227-26a9ed88552a · outbound

This paper cites Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, and Tat-Seng Chua.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, and Tat-Seng Chua

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.054938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 352d07c1-d8dd-4e19-b53f-ab028f240723 · outbound

This paper cites short" text types (Yelp and Arxiv), and two.

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection short" text types (Yelp and Arxiv), and two

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:44.058141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation b2bf94af-ebca-4bfb-bdcb-41941d86a241 · inbound