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Paper Citation Record · LEDGER

Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.14194.

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

pith.paper-citation-record.v1
2504.14194 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:37:35.306879Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:56:47.918778Z

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 9cfe0d69-7090-48e0-bedd-aa22b69ac88b · inbound

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach cites this paper.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T05:37:35.306879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:37:35.306879Z digest=sha256:b11cb102ce419c4e5981758a6dcbab90d91e280bb4d109ade035b80446a11bff

Observation 9496160c-eb4d-48cd-9cfc-274fa04b2015 · inbound

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining cites this paper.

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T13:24:16.399318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:24:16.399318Z digest=sha256:ade67028b09599536f362b95dbac68e51357b45a4171280ec86537916034f7d7

Observation a9b506bd-623f-444b-9b44-7c5822f3486b · inbound

Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance cites this paper.

Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.920102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:27:50.049798Z digest=sha256:7863f00b4d1b59025a876eb32f9ffeb615900faf9605294f78774a1da01d819d