Paper Citation Record · LEDGER

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2304.13276.

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

pith.paper-citation-record.v1
2304.13276 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:33.507353Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:05:10.302254Z

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 94512a12-66a7-4833-bc29-356a41fc15da · inbound

In-Context Deep Learning via Transformer Models cites this paper.

In-Context Deep Learning via Transformer Models The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:07:59.509864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3b33ce-246d-4155-b71c-1f7202d2b3f6 · inbound

Numerical Pruning for Efficient Autoregressive Models cites this paper.

Numerical Pruning for Efficient Autoregressive Models The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:27.118676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fad092a1-ce4a-448a-96de-56b907c76d1c · inbound

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:39.642373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4005d18e-3926-45b5-9547-406fd7193ae3 · inbound

ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers cites this paper.

ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:33.507353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561c2c0f-1f60-4673-8fb0-b6b8348b1792 · inbound

The Role of Diversity in In-Context Learning for Large Language Models cites this paper.

The Role of Diversity in In-Context Learning for Large Language Models The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:37.230942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c1eef5f-07d5-48cb-95aa-adf43fed8f2b · inbound

ConText: Driving In-context Learning for Text Removal and Segmentation cites this paper.

ConText: Driving In-context Learning for Text Removal and Segmentation The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:09.423620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159f012e-4ba7-4d5c-951b-b77bf004f129 · inbound

Sample Complexity and Representation Ability of Test-time Scaling Paradigms cites this paper.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:35.958726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10d5a435-75ec-4bac-ab9e-e3aad03ec028 · inbound

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization cites this paper.

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T06:10:19.205176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5416ae1-7151-4026-a1d8-1b7aa87c0ec0 · inbound

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks cites this paper.

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:05:10.365168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.