Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 10 inbound Pith citation observations for arXiv:2410.01104.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T18:31:28.106310Z
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 e9b4dec0-220d-4181-a461-82b1607988cb · inbound
Converting Transformers into DGNNs Form cites this paper.
Converting Transformers into DGNNs Form Softmax is not Enough (for Sharp Size Generalisation)
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:31:28.106310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.