Pith. sign in

Paper Citation Record · LEDGER

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.13110.

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

pith.paper-citation-record.v1
2311.13110 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:18:57.151867Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.551428Z

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 b5702adb-7461-4181-9d01-4483cff6c1b0 · inbound

ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference cites this paper.

ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T11:44:49.034826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:49.034826Z digest=sha256:8cc79cf9bfd0a6a2703ebc344b0fcc6b939e07d313f4bcad064d0574552ce217

Observation 097e8acc-254c-4b3b-aadb-6bc1e774eb18 · inbound

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction cites this paper.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T05:18:29.185276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:18:29.185276Z digest=sha256:8220f88e93a9d985e2ee2c1c8c546c963a3cc90a072d5260c0fe294b6973f6b3

Observation fdc46504-273a-44d1-bd62-cf02799730f2 · inbound

Towards White-Box Deep Wireless Sensing cites this paper.

Towards White-Box Deep Wireless Sensing White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T12:28:48.907655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:28:48.907655Z digest=sha256:5c5c1c312f373d780c716c48c91a127a06f594270cd50d08ff7074962661f6d7

Observation 0e53b9b6-47f9-4217-88e5-ee4ba7babaac · inbound

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges cites this paper.

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:40:03.553032Z

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=2026-06-25T22:34:33.698421Z digest=sha256:4140f511fb774372763659be68e373ae21790cf719abc2b4dd49f4b818b8a9c2

Observation 3bbac0d5-773b-4418-95a2-937fc9d85d58 · inbound

Off-Axis, On Purpose: Where a Transformer Computes Concepts and Why it Does So cites this paper.

Off-Axis, On Purpose: Where a Transformer Computes Concepts and Why it Does So White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-14T04:18:57.151867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:18:57.151867Z digest=sha256:ac264bae06801af5e6352b5818b090bb14051d770091caf6659288758b6b40a9