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Paper Citation Record · LEDGER

An Empirical Comparison of Instance Attribution Methods for NLP

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.04128.

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

pith.paper-citation-record.v1
2104.04128 v1

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:58.594433Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:51:09.785914Z

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 04e93516-dbb8-4692-9871-5a66e6527cee · inbound

How to Achieve Higher Accuracy with Less Training Points? cites this paper.

How to Achieve Higher Accuracy with Less Training Points? An Empirical Comparison of Instance Attribution Methods for NLP

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:58.594433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:07:58.594433Z digest=sha256:9f1f456443a732f9382c25768145f4b08e9494ca2210d6759d79948d3a480352

Observation 1790f765-6b5f-4bcd-ab13-31b7728058bc · inbound

Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs cites this paper.

Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs An Empirical Comparison of Instance Attribution Methods for NLP

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:51:09.839760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:51:08.230513Z digest=sha256:ec27faef1d27eafcda3e7f4881db673d89ec9fae716c2baad3dd4f3d895f48c6