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Paper Citation Record · LEDGER

Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.14050.

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

pith.paper-citation-record.v1
2502.14050 v2

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:16:58.163046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.254708Z

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 5d6d85d5-c0de-43ac-aeb4-f88b0aa0b27e · inbound

Text2Cypher: Data Pruning using Hard Example Selection cites this paper.

Text2Cypher: Data Pruning using Hard Example Selection Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:58.163046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:58.163046Z digest=sha256:f3ba09f7dde14d698c5973683db8a2ceeb0d9ae7973268c21412b9d184707809

Observation 553c593b-0f13-40f9-b00f-328ed28d8cc5 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T01:17:11.879388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:17:11.879388Z digest=sha256:f31e827ec0f9f4d2dcd8ee30d97cce3de09095c383846e5a247f77adf97cb476

Observation d1bfb9d1-15c9-4865-b15d-09ecc5ad6982 · inbound

Neuron-Aware Active Few-Shot Learning for LLMs cites this paper.

Neuron-Aware Active Few-Shot Learning for LLMs Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:28:38.256381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-03T16:27:57.985267Z digest=sha256:bd895a9fdbe31c1b2d7facc7741b190621bcef67dd1adc0399813c47572a2e27