Paper Citation Record · LEDGER

Softmax is not Enough (for Sharp Size Generalisation)

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.01104.

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

pith.paper-citation-record.v1
2410.01104 v3

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 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:33:16.037819Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:55.231700Z

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 7fbc1b9c-f8a6-435b-a524-1143a2d9984c · inbound

What makes a good feedforward computational graph? cites this paper.

What makes a good feedforward computational graph? Softmax is not Enough (for Sharp Size Generalisation)

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T14:33:16.037819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05002aa6-067a-43e3-9750-2248515a8f9a · inbound

Pippo: High-Resolution Multi-View Humans from a Single Image cites this paper.

Pippo: High-Resolution Multi-View Humans from a Single Image Softmax is not Enough (for Sharp Size Generalisation)

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-08T11:39:18.571084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502f144d-255c-4571-a1f7-9cbd9963274d · inbound

Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization cites this paper.

Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization Softmax is not Enough (for Sharp Size Generalisation)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:59.416924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d006b8-d3e3-4789-b1d6-b19fb5fe7d0a · inbound

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging cites this paper.

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging Softmax is not Enough (for Sharp Size Generalisation)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:21:37.278432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6ff732-7a80-4786-ac25-2aa8942f7a93 · inbound

A Mechanistic Analysis of Looped Reasoning Language Models cites this paper.

A Mechanistic Analysis of Looped Reasoning Language Models Softmax is not Enough (for Sharp Size Generalisation)

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.845350Z

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.

Observation c8aedaf3-4c02-49e3-8659-96adcaa1c5a8 · inbound

MAST: Mask-Guided Attention Mass Allocation for Training-Free Multi-Style Transfer cites this paper.

MAST: Mask-Guided Attention Mass Allocation for Training-Free Multi-Style Transfer Softmax is not Enough (for Sharp Size Generalisation)

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:05.230582Z

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.

Observation 687188e1-1b9c-405c-9bd8-25a1a7d86271 · inbound

Remember to Forget: Gated Adaptive Positional Encoding cites this paper.

Remember to Forget: Gated Adaptive Positional Encoding Softmax is not Enough (for Sharp Size Generalisation)

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:56:41.046985Z

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.

Observation 4d63fa7f-ee91-461e-b9ec-c193161b0a59 · inbound

Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale cites this paper.

Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale Softmax is not Enough (for Sharp Size Generalisation)

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:55.234140Z

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.

Observation c1a7813d-b7d2-4ec5-9f70-409e03fb9e41 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Softmax is not Enough (for Sharp Size Generalisation)

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T17:31:50.301866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.