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Paper Citation Record · LEDGER

Paraphrastic Representations at Scale

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.15114.

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

pith.paper-citation-record.v1
2104.15114 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:58:01.075557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T14:26:28.026004Z

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 109d52a3-cda4-40f6-98f5-f1f1488549ca · inbound

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text cites this paper.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Paraphrastic Representations at Scale

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T18:58:01.075557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:58:01.075557Z digest=sha256:0d0f30ef74f0d6f16c317bd9357feb373ff030588714c65c6a00df39fde2863a

Observation 6a69a380-e56a-4bbc-b573-5f1987c852c9 · inbound

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks cites this paper.

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks Paraphrastic Representations at Scale

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:26:28.029077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-18T14:25:25.576642Z digest=sha256:6ef28aca6db1aaae1d0e7f24fd957b091d5e6d233c05f4764fb85e85d4a17d89