Pith. sign in

Paper Citation Record · LEDGER

The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.04680.

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

pith.paper-citation-record.v1
2310.04680 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-05T09:10:21.747130Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T09:10:52.089323Z

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 0f1b9888-793f-4fed-a746-cf92e3d5a440 · inbound

The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content cites this paper.

The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-07-05T09:10:52.094764Z

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=2026-07-05T09:10:21.747130Z digest=sha256:4a5cf49cab6a35c3b15b092576f16a66238a9ac43467c1b6fe8e54c1eaff9150

Observation 43f9e2c7-c740-40f1-8381-02259881da39 · inbound

Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration cites this paper.

Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-04T15:59:57.062082Z

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=2026-06-26T01:07:04.330340Z digest=sha256:8f78a7dc007afc31e141945a77bd4dde08f149a851aa15ab299bceb26594b651