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Paper Citation Record · LEDGER

Meganeura: Portable GPU Training and Inference through Vulkan and Metal

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.01563.

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

pith.paper-citation-record.v1
2608.01563 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:50.542015Z

measured 26 of 26 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact2
  • verified fuzzy14
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c84e0aee-12b7-46a8-a8ec-57dd36bdc40b · outbound

This paper cites TVM: An automated end-to-end optimizing compiler for deep learning.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal TVM: An automated end-to-end optimizing compiler for deep learning

Reference 1

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verified fuzzy
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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.

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Observation 202c91fe-0d52-4a48-a8e9-b9b1c76b7df5 · outbound

This paper cites Deep residual learning for image recognition.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Deep residual learning for image recognition

Reference 2

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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.

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Observation a66a1d6f-5d3d-47ac-bab8-18baa5db102c · outbound

This paper cites TASO: Optimizing deep learning computation with automatic generation of graph substitutions.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal TASO: Optimizing deep learning computation with automatic generation of graph substitutions

Reference 3

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raw_fallback, observed 2026-08-07T00:13:55.009271Z

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.

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Observation c3dd1cbc-c7f2-4a39-ba7f-5d4c13f17ef5 · outbound

This paper cites MLIR: Scaling compiler infrastructure for domain specific computation.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal MLIR: Scaling compiler infrastructure for domain specific computation

Reference 4

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raw_fallback, observed 2026-08-07T00:13:54.725486Z

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.

source=pdf_text observed=2026-08-07T00:13:47.729684Z digest=sha256:ba445473db960ff14b925ecc5e3f4a755c3b3a4ac9edb62e24bfec005be56713

Observation 32fa7e77-badf-42ea-ac04-922a453118fe · outbound

This paper cites Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:47.828995Z digest=sha256:68611ff94b4dbca7323800448c62bead1ac44e24cb02afc87affe86371f8c99a

Observation 2daeb7b9-3f8a-445e-b953-cab816d9192a · outbound

This paper cites On-device training under 256KB memory.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal On-device training under 256KB memory

Reference 6

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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.

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Observation 3338bc28-34af-435d-afea-769972c32c95 · outbound

This paper cites TinyIREE: An ML execution environment for embedded systems from compilation to deployment.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal TinyIREE: An ML execution environment for embedded systems from compilation to deployment

Reference 7

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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.

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Observation e0fa0f2f-83ba-4ed5-a061-0d8887e439c5 · outbound

This paper cites Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3f58c168-c540-4ba8-b78c-c3095456e3d3 · outbound

This paper cites Global Pass Barriers Without Per-Resource RHI Tracking: A Cross-Vendor Study with Blade.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Global Pass Barriers Without Per-Resource RHI Tracking: A Cross-Vendor Study with Blade

Reference 9

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local_arxiv, observed 2026-08-07T00:13:51.202172Z

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.

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Observation 1a45f875-70f0-4bfd-b3ba-d4ea5faee005 · outbound

This paper cites ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 4a7986fb-0ce2-4d6c-8a1a-32684bc42cd4 · outbound

This paper cites PyTorch: An impera- tive style, high-performance deep learning library.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal PyTorch: An impera- tive style, high-performance deep learning library

Reference 11

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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.

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Observation 12c3ad6d-d66d-4cf9-aeb8-8713fc7601ea · outbound

This paper cites Pennycook, Jason D.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Pennycook, Jason D

Reference 12

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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.

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Observation 816a03a5-8846-489b-a275-7ec98b537764 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Robust Speech Recognition via Large-Scale Weak Supervision

Reference 13

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Unavailable: canonical work link unavailable.

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Observation f843ce3f-ffbe-42ae-a527-12a2aadebdf1 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal High- resolution image synthesis with latent diffusion mod- els

Reference 14

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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.

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Observation 2689c768-7fcc-4644-b9b8-3a6c6f2549fa · outbound

This paper cites Glow: Graph Lowering Compiler Techniques for Neural Networks.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Glow: Graph Lowering Compiler Techniques for Neural Networks

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 531c39e2-3f8c-49ab-ad9a-37bdb83ca7aa · outbound

This paper cites WebLLM: A High-Performance In-Browser LLM Inference Engine.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal WebLLM: A High-Performance In-Browser LLM Inference Engine

Reference 16

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no resolver link, observed 2026-08-07T00:13:49.167042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 39363ff6-44db-4c5c-bdc1-0a6e2eab44db · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 17

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Observation 94cfcd34-fd9d-46ab-83ae-774eebbf6992 · outbound

This paper cites an unresolved cited work.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Unresolved cited work

Reference 18

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

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Observation c41be673-fa93-4507-8f6b-63bea2d72bc5 · outbound

This paper cites DINOv3.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal DINOv3

Reference 19

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Unavailable: canonical work link unavailable.

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Observation c6c34341-f864-4b52-ba47-9c38d9a1f2bd · outbound

This paper cites Gupta, Sarah Sirajuddin, D.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Gupta, Sarah Sirajuddin, D

Reference 20

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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.

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Observation 920ec220-7784-41ca-bf22-aa2aadd9bbe6 · outbound

This paper cites Pure tensor pro- gram rewriting via access patterns.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Pure tensor pro- gram rewriting via access patterns

Reference 21

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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.

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Observation 5f53d54e-4152-4387-ade4-07c1e9cd8b8c · outbound

This paper cites an unresolved cited work.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Unresolved cited work

Reference 22

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

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Observation eef76ac2-9543-4186-a073-cf128763994f · outbound

This paper cites egg: Fast and extensible equality saturation.Pro- ceedings of the ACM on Programming Languages, 5(POPL), 2021.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal egg: Fast and extensible equality saturation.Pro- ceedings of the ACM on Programming Languages, 5(POPL), 2021

Reference 23

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raw_fallback, observed 2026-08-07T00:13:51.925902Z

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.

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Observation 7f37b61a-fe2f-4ed4-97ef-e0c2424ffa51 · outbound

This paper cites Equal- ity saturation for tensor graph superoptimization.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Equal- ity saturation for tensor graph superoptimization

Reference 24

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raw_fallback, observed 2026-08-07T00:13:51.708159Z

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.

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Observation 8126837c-7fe6-49ff-9230-6f420a32e482 · outbound

This paper cites RAF: Holistic Compilation for Deep Learning Model Training.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal RAF: Holistic Compilation for Deep Learning Model Training

Reference 25

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verified exact
local_arxiv, observed 2026-08-07T00:13:50.836972Z

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.

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Observation 5162f1e1-516f-4a93-ba45-09d00da883f7 · outbound

This paper cites Better together: Unifying data- log and equality saturation.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal Better together: Unifying data- log and equality saturation

Reference 26

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raw_fallback, observed 2026-08-07T00:13:51.437426Z

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.

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Pith citing papers

No inbound Pith citation observations are available.