Paper Citation Record · LEDGER

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.15264.

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

pith.paper-citation-record.v1
2310.15264 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:14.912159Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d325e0ae-947e-4dfa-ace3-26bd7f4b1207 · inbound

AIGS: Generating Science from AI-Powered Automated Falsification cites this paper.

AIGS: Generating Science from AI-Powered Automated Falsification Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:19.123428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d405f797-6926-417c-871b-0f4b1f97568f · inbound

A Practical Examination of AI-Generated Text Detectors for Large Language Models cites this paper.

A Practical Examination of AI-Generated Text Detectors for Large Language Models Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:56:40.815458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 581974c9-75f1-4bc7-b1dc-3f8d0f277096 · inbound

Human-LLM Coevolution: Evidence from Academic Writing cites this paper.

Human-LLM Coevolution: Evidence from Academic Writing Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T20:54:17.424856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f28e1f1-8328-4294-b1c5-347d85d441df · inbound

How does Misinformation Affect Large Language Model Behaviors and Preferences? cites this paper.

How does Misinformation Affect Large Language Model Behaviors and Preferences? Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.281737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2a629f-badb-4e92-a324-f75fd03bb809 · inbound

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems cites this paper.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:14.912159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8699a034-c7d0-4984-9dda-264511e7467a · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:25:54.370233Z

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 c0ca2db3-56a3-4794-a82d-5c8acc68e10e · inbound

Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy cites this paper.

Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:53:24.831427Z

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 2f4009f9-3888-46f1-9ac2-d1ce54162d7a · inbound

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings cites this paper.

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T05:45:25.613444Z

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 16bbf17a-8674-4ca0-91f3-b50d6090232a · inbound

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings cites this paper.

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:57:18.919449Z

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 b6f08d7e-973d-4205-a6c6-a5a3d129b095 · inbound

Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability cites this paper.

Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T21:58:20.755128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2248591-0445-4693-8d5b-137599b0eb5c · inbound

Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media posts cites this paper.

Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media posts Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:55:11.052428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.