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Paper Citation Record · LEDGER

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.01454.

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

pith.paper-citation-record.v1
2102.01454 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:43:45.456026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:51:04.788030Z

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 c804b5bc-c9f3-4a3d-b296-6ff62cb56639 · inbound

Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages cites this paper.

Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:45.456026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:45.456026Z digest=sha256:c0085c4932e34f604a9185348fb92474f5d2ceb5961d0c0ea730a7f48c01af8b

Observation e8ac4478-192d-4222-8a99-8292dc53df28 · inbound

IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations cites this paper.

IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T11:26:27.469339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:26:27.469339Z digest=sha256:952d1c7c85a09c980e239c329a07cc30883bb2b1ad949ce7d225f32502018a74

Observation 85e676e5-bfd8-41ba-ab63-ec5c3d697c1e · inbound

Just on Time: Token-Level Early Stopping for Diffusion Language Models cites this paper.

Just on Time: Token-Level Early Stopping for Diffusion Language Models MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T06:06:06.936800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:06:06.936800Z digest=sha256:fd71d29c1b4a3499442235b324d778f0cbbf3474f840cd44be2ded9aa98b5207

Observation e748e994-0822-4956-a7b8-41c0953bd1b7 · inbound

Consistent Diffusion Language Models cites this paper.

Consistent Diffusion Language Models MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:51:04.796235Z

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=2026-05-09T20:59:46.082251Z digest=sha256:fe0f02ad59c60cc63949bdac8277fc30b657441b90dcb6757fdd6a4ec9bc1292