Paper Citation Record · LEDGER

The Science of Detecting LLM-Generated Texts

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.07205.

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

pith.paper-citation-record.v1
2303.07205 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:16:05.094677Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:27:26.980255Z

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 89b1f03d-e033-40b7-b40a-8e4e366c1593 · inbound

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? cites this paper.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? The Science of Detecting LLM-Generated Texts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.094677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5c3c94f-c9a8-450c-bb9a-dcdfcae4c399 · 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 The Science of Detecting LLM-Generated Texts

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T20:56:40.990757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f0ecd8-2e5e-4462-9315-f45c82cdbaa2 · inbound

ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability cites this paper.

ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability The Science of Detecting LLM-Generated Texts

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:27:26.983622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9004274d-ee51-4192-a085-c5b8ca2a99c6 · inbound

SWaRL: Safeguard Code Watermarking via Reinforcement Learning cites this paper.

SWaRL: Safeguard Code Watermarking via Reinforcement Learning The Science of Detecting LLM-Generated Texts

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:18:09.534596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f59f2c8-97ed-41df-9e52-e59799bf5d51 · inbound

Please Make it Sound like Human: Encoder-Decoder vs. Decoder-Only Transformers for AI-to-Human Text Style Transfer cites this paper.

Please Make it Sound like Human: Encoder-Decoder vs. Decoder-Only Transformers for AI-to-Human Text Style Transfer The Science of Detecting LLM-Generated Texts

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:01.107195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3fb49431-3164-4f45-9d99-0682a0cbf6e6 · inbound

Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks cites this paper.

Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks The Science of Detecting LLM-Generated Texts

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:26:07.899886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.