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Paper Citation Record · LEDGER

Smaller Language Models are Better Black-box Machine-Generated Text Detectors

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.09859.

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

pith.paper-citation-record.v1
2305.09859 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:56:47.851062Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:55:23.562296Z

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 0fa76088-0f1c-404a-869b-43e6656dbde7 · inbound

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection cites this paper.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Smaller Language Models are Better Black-box Machine-Generated Text Detectors

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:56:47.851062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:56:47.851062Z digest=sha256:e5ea172d6f72e2c12edd1a0121485a1096d96134825684da0cc8f718caf579f7

Observation 756a31a1-c77e-49c4-81fa-b74b9daf0df8 · inbound

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection cites this paper.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Smaller Language Models are Better Black-box Machine-Generated Text Detectors

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T17:58:01.350385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:58:01.350385Z digest=sha256:d159400369abf4c7898c1c92c66b6cac36ed43577ba1b948bd5e33b4caf49525

Observation ebb11874-788f-4c13-a224-10ac3fa2320a · inbound

Detecting LLM-generated Code with Subtle Modification by Adversarial Training cites this paper.

Detecting LLM-generated Code with Subtle Modification by Adversarial Training Smaller Language Models are Better Black-box Machine-Generated Text Detectors

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T16:34:09.256497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:34:09.256497Z digest=sha256:bdc97ce4dd482a20668c1bff1fe358b0b69b9c67438e3f524e8b6288e9a78643

Observation e4f7abbf-6c9d-4871-b7cb-da427fa11690 · inbound

DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection cites this paper.

DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection Smaller Language Models are Better Black-box Machine-Generated Text Detectors

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T00:27:28.247175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:27:28.247175Z digest=sha256:a707768c902408231170afc6f893b37ac9d3cbfc7158de6316e25ef660f419f6

Observation 42b107ff-918e-44b6-978c-8f8989fc9028 · inbound

Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement cites this paper.

Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement Smaller Language Models are Better Black-box Machine-Generated Text Detectors

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:23.565806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T04:52:53.554537Z digest=sha256:7d6ffd401ba48a02c2804da5fe9c0da6ec1d5a52e517bf7e41da9da616fe11ad