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Paper Citation Record · LEDGER

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.01152.

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

pith.paper-citation-record.v1
2403.01152 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:07.022546Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.590102Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8c3b4fca-8c02-4bb3-9d92-43b1627d2c44 · inbound

LLM Evaluators Recognize and Favor Their Own Generations cites this paper.

LLM Evaluators Recognize and Favor Their Own Generations A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:44:28.820895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T18:44:28.766639Z digest=sha256:662ae23e579e37d2ebefc403ce5b207a184d03a4db62c93741b4488817a387a2

Observation fd338f9c-a930-4cbe-add9-1bcbbe4c1dde · inbound

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning cites this paper.

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:58:07.022546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:58:07.022546Z digest=sha256:7282d9ba14c8ef183401cb2cdd964a3897ad4bbed1b19245e88426dbf49b3adb

Observation 07a09032-ba87-4371-aa99-64158131ccb9 · inbound

I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution cites this paper.

I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:54:51.858432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:54:51.858432Z digest=sha256:cdb3e04d36c2c8911d54f622d5a697e91a1e577b489602d6513eee7f7ea1c01c

Observation 81c7efae-8845-456b-81dc-8ec1799f54e0 · inbound

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing cites this paper.

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:01:51.419841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T20:57:03.172931Z digest=sha256:a976339fe4c822e5d7c91bf97ecf710a37527fdbbb96a88210491ed223efe1b3

Observation e34fcb56-7558-4593-8fff-de135654a4a4 · inbound

Measuring Embedding Sensitivity to Authorial Style in French: Comparing Literary Texts with Language Model Rewritings cites this paper.

Measuring Embedding Sensitivity to Authorial Style in French: Comparing Literary Texts with Language Model Rewritings A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:31:25.255383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T05:12:25.886278Z digest=sha256:227807322e034166d22033d745dfda7ec32042b2baf9272a5807b6adf47ac2f4

Observation 4fe0298a-b8fa-4416-8fce-fa76a08952bd · inbound

Watermarking Should Be Treated as a Monitoring Primitive cites this paper.

Watermarking Should Be Treated as a Monitoring Primitive A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:12:51.021600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T19:10:59.937855Z digest=sha256:d0b6e1f47f4d22c5b18540fc757737c5d6a2f6ad3029af5cb15e5d5c5e2e3081

Observation c7061e9d-62c8-4a4f-b54e-817317f57436 · inbound

Watermarking Should Be Treated as a Monitoring Primitive cites this paper.

Watermarking Should Be Treated as a Monitoring Primitive A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:59:48.873615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:57:19.399363Z digest=sha256:120493ad054909e5307848149b37e6b92a4b7332886534992987d47d7014bfce

Observation d6fc7306-edcf-4493-b910-26261e20033c · inbound

Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization cites this paper.

Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T00:22:51.889953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T23:05:48.770663Z digest=sha256:70899f73da78a310aa1b157910546226955a8ba7628f20f16df247951dfb7c77

Observation 4620e0be-dfba-4e77-860e-df8228972bec · inbound

When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer cites this paper.

When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:56:57.688840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T01:39:04.289074Z digest=sha256:65a4dac74f58c86723507fa73e2eaca90e79145e71933aed7e304fb8507483c8

Observation e70eb19e-414a-4982-8b04-2875aa151574 · inbound

Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift cites this paper.

Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:40:00.592005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T23:31:35.874733Z digest=sha256:60e00c7a1c13cce365eff9ba2e4e81052040dfb6df0610bdb6fd2269d23d3fb6