Paper Citation Record · LEDGER

Leveraging redundancy in attention with Reuse Transformers

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.06821.

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

pith.paper-citation-record.v1
2110.06821 v1

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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:46:01.978654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:15:19.881429Z

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 8604c5cb-b478-4d7a-9a74-16ea1eda6e5c · inbound

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity cites this paper.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Leveraging redundancy in attention with Reuse Transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:01.978654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2217813-99fd-40a1-ae0f-ed9953c0a92b · inbound

Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences cites this paper.

Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences Leveraging redundancy in attention with Reuse Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:06.124250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0962ef-ba67-484e-bac9-3b28a2d34d27 · inbound

ASAP: Amortized Doubly-Stochastic Attention via Sliced Dual Projection cites this paper.

ASAP: Amortized Doubly-Stochastic Attention via Sliced Dual Projection Leveraging redundancy in attention with Reuse Transformers

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:19:26.942598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5acced1-c815-4cdb-8774-2d6b21921e8a · inbound

From Sparsity to Simplicity: Enabling Simpler Sequential Replacements via Sparse Attention Distillation cites this paper.

From Sparsity to Simplicity: Enabling Simpler Sequential Replacements via Sparse Attention Distillation Leveraging redundancy in attention with Reuse Transformers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:58:58.869604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c396f4bf-1406-446a-9cb9-849f69097a87 · inbound

CachePrune: Privacy-Aware and Fine-Grained KV Cache Sharing for Efficient LLM Inference cites this paper.

CachePrune: Privacy-Aware and Fine-Grained KV Cache Sharing for Efficient LLM Inference Leveraging redundancy in attention with Reuse Transformers

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:15:19.884310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.