Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:37:18.710415Z
Paper Citation Record · LEDGER
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.01880.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
- verified exact9
- verified fuzzy9
- unresolved40
- parse uncertain0
- malformed identifier2
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d9e0bcef-02d8-4d62-896b-cf77f205f09d · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:14.564529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 148c244b-3260-431b-9627-81ab7e8b563b · outbound
This paper cites Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:14.626612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52a21e26-4491-4c69-bfdf-6e914260ce9b · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:23.031618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c3bd9bc-6907-4b6a-9cfb-ee14709e4cbf · outbound
This paper cites The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:37:21.334814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation baf53c50-87f4-4a3f-8d2d-3b7abb1db5a6 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:23.016231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 325f30e6-f067-4a7d-be15-b02cc175af94 · outbound
This paper cites PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:37:21.161997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c3ec9938-1862-471c-92c4-2030cc6b1711 · outbound
This paper cites TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:37:20.952894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8d771028-4873-453b-9ff8-25925c2a3ccd · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:23.000303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2340a3a1-f64b-4c0b-b82c-6ce0b8028725 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.846646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4f0f6aeb-3549-4a67-8860-7544bf9682e8 · outbound
This paper cites Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:15.316670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ca3ee93-e2d0-4317-9903-ed6bde177b3b · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.784877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f22fae0d-0e6c-4466-8d05-7bf965eabbce · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.763832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 29c48f63-10cc-47d1-a14f-4dae85210f96 · outbound
This paper cites Ramanujam, and P.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Ramanujam, and P
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.748127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e755675e-c129-468f-9162-fb44d386a1cb · outbound
This paper cites A Reinforcement Learning Environment for Polyhedral Optimizations.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning A Reinforcement Learning Environment for Polyhedral Optimizations
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:15.577818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d23d964d-0954-4a11-aa60-f76933c4d75d · outbound
This paper cites How Attentive are Graph Attention Networks?.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning How Attentive are Graph Attention Networks?
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:15.690692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9d2cc3c-4d23-4b4c-9301-fd1bdfc6c4c5 · outbound
This paper cites TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:15.742334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 611d3cad-8814-4f65-963a-a4bd9e578320 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.733476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4abf6fa5-832d-418e-9dd7-0ab7d228daec · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.718775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 257c224a-9e5e-4bee-8bfb-7f43f7fba2bd · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-07T11:37:19.157721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ad3330d7-4a32-4f05-94fc-0db2e6495881 · outbound
This paper cites Feautrier.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Feautrier
Reference 20
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T11:37:20.751876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0594b605-903f-4322-b341-46515b4e6b2d · outbound
This paper cites 2011.Polyhedron Model.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning 2011.Polyhedron Model
Reference 21
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T11:37:16.084717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1560143d-43e0-4fa9-960b-a63438399478 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:16.114403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c0ee80d-cb00-4aaf-a1a5-337b211ab03b · outbound
This paper cites Sadayappan, and Sven Verdoolaege.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Sadayappan, and Sven Verdoolaege
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.691699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 31fcf7ce-ef14-47ad-bd8a-697c86c0967c · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.676198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae3fcefc-d6f2-4582-a030-509d20fd1d67 · outbound
This paper cites ProTuner: Tuning Programs with Monte Carlo Tree Search.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning ProTuner: Tuning Programs with Monte Carlo Tree Search
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:37:20.458042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 551344b0-a107-4642-a3c6-3b4ae9322ada · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.661783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 363b4a71-5b76-4533-b609-81a2c79fb1b8 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:16.390493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9228d05-c3d3-471c-89e8-f1ce3bdd49aa · outbound
This paper cites X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:37:20.242809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 90a25505-0082-4ad9-873e-1126f77be879 · outbound
This paper cites AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:37:20.106443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2d9b89af-9f1d-47b1-8fa2-95ecb47131cf · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:16.540350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54fb6591-36b1-4877-aa31-18c381840ca2 · outbound
This paper cites Irigoin and R.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Irigoin and R
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.635459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5fad93f1-e3ed-4ee1-9241-d8e2d3817ace · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Semi-Supervised Classification with Graph Convolutional Networks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:16.641895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f50c7060-dbaf-4995-986e-623f279b0260 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.619698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9e988c15-4453-438d-a1d8-597e4b87e4e3 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 34
- Resolution
- verified exact
- doi, observed 2026-08-07T11:37:18.957757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 74b67ab4-d9d6-46e9-b043-8731464cf046 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.604248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8d82523-13d6-4343-b454-fd8fbab2d714 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.588073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 20ad90e2-d706-43a6-be14-18dfcc4d44bd · outbound
This paper cites Deep Learning with Dynamic Computation Graphs.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Deep Learning with Dynamic Computation Graphs
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:16.894265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97c238d8-6d4c-428c-b9a8-d8d2a9aa41b2 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:16.950807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e037cb0-93b1-489d-afef-eec19d12f32b · outbound
This paper cites 2020.A deep learning based cost model for automatic code optimization in tiramisu.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning 2020.A deep learning based cost model for automatic code optimization in tiramisu
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.573532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7c9ccd90-fb57-4386-8bfc-9c3a388e6df3 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.558401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d78d250-d363-4dca-8d1f-c75bf5abed51 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 41
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T11:37:17.119777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5132241-1dd4-4056-ada6-adef4a10a551 · outbound
This paper cites Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:17.180734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6209845a-f116-4b86-ae50-b9247009bab0 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.541671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c6585340-6b05-4cb2-bb20-ce0c21821775 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.526323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 11ae586b-8789-4ff9-b8d2-5126730bebaa · outbound
This paper cites Ramanujam, P.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Ramanujam, P
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.510193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3022a394-6df1-4c96-96d4-ea78a31c4501 · outbound
This paper cites Quilleré and S.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Quilleré and S
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.478927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6222457e-4d22-4cad-a94b-f24eb0ce668d · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:17.580652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15307476-c37e-4ef4-bf20-dce42251c195 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:17.677852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00f4166c-9ed2-4b92-94a5-f0608aa0660c · outbound
This paper cites Sutton and A.G.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Sutton and A.G
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.447530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4ad406a4-efb9-4980-b75f-64deaae70c4c · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:22.234418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 681a2f3a-e2f8-43a9-93de-f0e4dfea1a43 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:21.949994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ac849872-b2a8-4a42-8dc7-37e1161dd089 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 52
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T11:37:19.537337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8ac21825-94ca-4d5c-b79b-053f379d124a · outbound
This paper cites Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:18.156929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66282a02-1566-4cb7-a1a6-955daf68a080 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:18.288372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 874fc4f4-60b1-48df-a0f6-4e3f0d3287a2 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:21.760438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2dc017a4-87ca-463e-a2c8-a9f1ebdff207 · outbound
This paper cites an unresolved cited work.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:37:21.601240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61b60399-70d8-4395-9fd8-444d5b1eb3ab · outbound
This paper cites Ansor: Generating High-Performance Tensor Programs for Deep Learning.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Ansor: Generating High-Performance Tensor Programs for Deep Learning
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:18.587768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4da71da3-82fd-4be6-8473-add67e484281 · outbound
This paper cites FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:18.710415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fa3edec-9ada-49f5-9954-0c95236ee886 · outbound
This paper cites In 38th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages (POPL’11).
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning In 38th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages (POPL’11)
Reference 2011
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.495010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cc5a5706-ae76-4f09-8d11-6786ad043efa · outbound
This paper cites Learning to Optimize Tensor Programs.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Learning to Optimize Tensor Programs
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:15.849112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f66847b5-4ac7-428e-bac4-098f196c9d42 · outbound
This paper cites Proceedings of Machine Learning and Systems 3 (2021), 181–193.
Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Proceedings of Machine Learning and Systems 3 (2021), 181–193
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:37:22.984033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.