Paper Citation Record · LEDGER

Efficient Transformers: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2009.06732.

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

pith.paper-citation-record.v1
2009.06732 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:48.847581Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:36:26.546053Z

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 e99b873a-8ee7-47ea-bd68-6329a042f71d · inbound

Deformable DETR: Deformable Transformers for End-to-End Object Detection cites this paper.

Deformable DETR: Deformable Transformers for End-to-End Object Detection Efficient Transformers: A Survey

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:47:17.015597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12edea71-84f4-4329-82d4-5de80f6a45f3 · inbound

Perceiver IO: A General Architecture for Structured Inputs & Outputs cites this paper.

Perceiver IO: A General Architecture for Structured Inputs & Outputs Efficient Transformers: A Survey

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:47:13.942394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7b2fb599-be62-4cc2-b64b-03d86bd32cef · inbound

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation cites this paper.

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation Efficient Transformers: A Survey

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:24:27.496636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a3476db-bd8d-4fc1-9e49-5ef0d7a2f84f · inbound

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness cites this paper.

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness Efficient Transformers: A Survey

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:22:09.018695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b4a1bac-4f88-491d-9e00-a224064295ab · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Efficient Transformers: A Survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T18:00:50.482223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 983eddb3-8be0-4bae-84c3-5ef51c7c26e1 · inbound

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Efficient Transformers: A Survey

Reference 215

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T10:36:18.192372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2c62249-e745-459e-b996-bb62726b4fed · inbound

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models cites this paper.

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models Efficient Transformers: A Survey

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:18:02.299100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9800e6cd-56dc-449e-983a-e102a4bd1f38 · inbound

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision cites this paper.

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision Efficient Transformers: A Survey

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:45:36.448737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5de5ed35-0373-454a-a6b3-dcf414336252 · inbound

MoBA: Mixture of Block Attention for Long-Context LLMs cites this paper.

MoBA: Mixture of Block Attention for Long-Context LLMs Efficient Transformers: A Survey

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:15:46.285388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e49812c-ecd8-4cb3-817d-fde0fbffd9fd · inbound

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization cites this paper.

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization Efficient Transformers: A Survey

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:48.847581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63bf97f3-c7f4-429d-99be-880d433f5eb0 · inbound

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Efficient Transformers: A Survey

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:22.842653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f83ea2-3167-47af-be9d-9e55322ee048 · inbound

Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization cites this paper.

Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization Efficient Transformers: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:31.651037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fffd0f1-c1c2-4559-aff7-3ba47c27c151 · inbound

Crisp Attention: Regularizing Transformers via Structured Sparsity cites this paper.

Crisp Attention: Regularizing Transformers via Structured Sparsity Efficient Transformers: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:03:05.668093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5368d7b-d973-4ea7-865b-76c75cc6c8f4 · inbound

Gated Associative Memory: A Parallel O(N) Architecture for Efficient Sequence Modeling cites this paper.

Gated Associative Memory: A Parallel O(N) Architecture for Efficient Sequence Modeling Efficient Transformers: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:30:01.075667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87d149a-da18-4137-9bc9-9bb63f236dd8 · inbound

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs cites this paper.

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs Efficient Transformers: A Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T17:05:55.024663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c88820-912f-4ddd-9b9e-4559d0d1bf43 · inbound

ARC-Encoder: learning compressed text representations for large language models cites this paper.

ARC-Encoder: learning compressed text representations for large language models Efficient Transformers: A Survey

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:52.455570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b693897c-c815-4367-a8f5-c0746837edd4 · inbound

TiledAttention: a CUDA Tile SDPA Kernel for PyTorch cites this paper.

TiledAttention: a CUDA Tile SDPA Kernel for PyTorch Efficient Transformers: A Survey

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:46:23.663710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35cf5da5-b212-4358-91a7-513006f24487 · inbound

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling cites this paper.

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling Efficient Transformers: A Survey

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:39:59.305385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2158cce-f87d-465e-86a6-3cd321ac5793 · inbound

An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling cites this paper.

An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling Efficient Transformers: A Survey

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:44:14.897597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b00fe47-86b9-4927-9a66-7b1ac81dd775 · inbound

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents cites this paper.

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents Efficient Transformers: A Survey

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:49:53.685071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation adaaeadb-cf62-472d-858f-a58caed80e87 · inbound

When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics cites this paper.

When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics Efficient Transformers: A Survey

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:36:26.547593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73cedafe-d713-46d4-875d-b82042af100b · inbound

TransX: Scaling Transformer-based Recommendation via Behavioral and Serving Stream Crossings cites this paper.

TransX: Scaling Transformer-based Recommendation via Behavioral and Serving Stream Crossings Efficient Transformers: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T16:52:55.820093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.