Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Transformers: A Survey
As of 9 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.
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 2026-08-07T14:44:48.847581Z
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.