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Paper Citation Record · LEDGER

Data Selection for Language Models via Importance Resampling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.03169.

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

pith.paper-citation-record.v1
2302.03169 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:25.047316Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.380135Z

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 725231dc-3a3a-4c14-9c14-4fcd8c9d6c8b · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Data Selection for Language Models via Importance Resampling

Reference 254

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:40.514427Z

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=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:2b99beda270a60495ba9abc7b8f381c1f4ef58d39ba3210f85a9b3d567ba9d01

Observation 17b4c217-9fcb-4a72-b0af-d3753b95f60d · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Data Selection for Language Models via Importance Resampling

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T17:56:23.490221Z

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=2026-05-16T17:56:23.281678Z digest=sha256:78dcf09bdb7886e389f9ee05f86a18b923b3029100cb2c59f3b17633590280c6

Observation 082e644a-4f5f-4687-a658-a24fa5145955 · inbound

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models cites this paper.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Data Selection for Language Models via Importance Resampling

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:25.047316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:25.047316Z digest=sha256:5e45aa6f6cbfd71eea77fd4c320e5f09b8e2468445db8bc0fbe854b977dd6980

Observation 75734b4c-f994-4488-a4fe-478be2abfaee · inbound

Embryology of a Language Model cites this paper.

Embryology of a Language Model Data Selection for Language Models via Importance Resampling

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T10:16:49.989116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:16:49.989116Z digest=sha256:7acef280c488ca3b9831b4967c8e84df8832fd505cf5044e58daae48090aa36a

Observation 7df0e303-dfb1-4621-9283-9d435c73f479 · inbound

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap cites this paper.

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap Data Selection for Language Models via Importance Resampling

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:50:47.687280Z

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=pdf_text observed=2026-05-21T23:46:24.208438Z digest=sha256:ad3bbd1b76c1c062e32165d5532870f4c870582902cb8d35986b087583dc3d8a

Observation bcd27e77-7b18-424a-9993-21e4761b81f9 · inbound

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures cites this paper.

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures Data Selection for Language Models via Importance Resampling

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:48:39.383643Z

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=2026-07-03T16:44:41.720388Z digest=sha256:ab2db83a40a2cdedc0ef7cbcd8ad246c03c3f3498fb0d7199d87a30e58eba887