Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T11:40:41.762364Z
Paper Citation Record · LEDGER
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants
As of 6 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2511.02043.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:14:17.683649Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:14:19.073912Z
Reference resolution
23 of 23 outbound references displayed
- verified exact12
- verified fuzzy7
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3c54ad46-0aed-46b8-ac50-58fcf117c489 · outbound
This paper cites write newline.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants write newline
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T11:41:30.503489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 35d5c54e-2735-4f82-9516-b33ac755b533 · outbound
This paper cites G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., and Zheng, X.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., and Zheng, X
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T11:41:30.507002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 069154db-f17a-4773-a321-5bbe5d4b5fe7 · outbound
This paper cites O pen F old: R etraining A lpha F old2 yields new insights into its learning mechanisms and capacity for generalization.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants O pen F old: R etraining A lpha F old2 yields new insights into its learning mechanisms and capacity for generalization
Reference 3
- Resolution
- metadata mismatch
- doi, observed 2026-05-22T11:41:29.014457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b8360ff1-d459-4fa4-8568-c67f3bce2dfc · outbound
This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T11:41:29.004952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fce0f1d4-885b-4700-b684-cd0ca8219d2b · outbound
This paper cites Longformer: The Long-Document Transformer.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Longformer: The Long-Document Transformer
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.027162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 078617f0-fa1b-441a-abe4-8b03631dd240 · outbound
This paper cites \ TVM \ : An automated \ End-to-End \ optimizing compiler for deep learning.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants \ TVM \ : An automated \ End-to-End \ optimizing compiler for deep learning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T11:41:30.519053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e7efc840-b665-4dec-ba98-be10fa428965 · outbound
This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.062158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8ed6cfc0-780e-41c1-9b02-dc0bacafe086 · outbound
This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T11:41:30.067015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e9e1915f-9d0b-4a1d-a714-1ef8b72a85d7 · outbound
This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Flex Attention: A Programming Model for Generating Optimized Attention Kernels
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.072583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a0706ce2-7703-40c5-99e7-3e281332bcb3 · outbound
This paper cites Flexattention: The flexibility of pytorch with the performance of flashattention, Aug 2024.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Flexattention: The flexibility of pytorch with the performance of flashattention, Aug 2024
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T11:41:30.522197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 222f3df3-160b-49ae-a3c1-b4f4841f9d89 · outbound
This paper cites T heano: A C P U and G P U M ath C ompiler in P ython.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants T heano: A C P U and G P U M ath C ompiler in P ython
Reference 11
- Resolution
- verified exact
- doi, observed 2026-05-22T11:41:28.992453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3327bfd7-d863-46c2-9855-9d373dba3179 · outbound
This paper cites Jumper , author R.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Jumper , author R
Reference 12
- Resolution
- metadata mismatch
- doi, observed 2026-05-22T11:41:29.019953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 03480638-3ab7-4471-9169-d3f5d42d025f · outbound
This paper cites Online normalizer calculation for softmax.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Online normalizer calculation for softmax
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.057410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4452f23b-53ca-418a-a195-37e526a34eed · outbound
This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.053065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 497d71f0-2bfc-4136-8e7c-5785fa9313af · outbound
This paper cites torch.fx: Practical program capture and transformation for deep learning in python.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants torch.fx: Practical program capture and transformation for deep learning in python
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T11:41:30.516094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a4f182e1-9eda-4f43-af0e-85269ec903c9 · outbound
This paper cites FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.077659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 448fe839-69e8-429f-a150-98c7e1b23b9d · outbound
This paper cites ThunderKittens: Simple, Fast, and Adorable AI Kernels.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants ThunderKittens: Simple, Fast, and Adorable AI Kernels
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:41:30.048020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3fd29474-9a0f-4b7a-89b8-11bf887c5093 · outbound
This paper cites Rectified Sparse Attention.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Rectified Sparse Attention
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:41:30.042725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23c579cd-8b2c-48bf-9a80-c3dd887fc0fb · outbound
This paper cites T., and Cox, D.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants T., and Cox, D
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:41:28.984555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 656fa5ec-9723-4fc3-8622-83f7393c6898 · outbound
This paper cites N., Kaiser, ., and Polosukhin, I.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants N., Kaiser, ., and Polosukhin, I
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T11:41:30.512830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23c10a99-c45a-464d-a350-67c8abca2aaf · outbound
This paper cites K., Velliengiri, P., Miao, X., Padon, O., and Jia, Z.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants K., Velliengiri, P., Miao, X., Padon, O., and Jia, Z
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T11:41:30.509938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3b38fc14-9229-4461-a6b1-e11f1d61a5ab · outbound
This paper cites Differential Transformer.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants Differential Transformer
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:41:30.037579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cf12c40c-05bb-42b3-8faf-96bef3355b8e · outbound
This paper cites FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.032495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 2129f888-f11e-474b-b1e0-4ac00c7a7479 · inbound
ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures cites this paper.
ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T17:14:19.222523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.