Paper Citation Record · LEDGER

TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2410.06511.

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

pith.paper-citation-record.v1
2410.06511 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:04:35.457714Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7e5b2747-743f-40fd-b377-275a8e5b7bb4 · inbound

Scaling Deep Learning Training with MPMD Pipeline Parallelism cites this paper.

Scaling Deep Learning Training with MPMD Pipeline Parallelism TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T12:21:38.853492Z

Source-reported events for the cited work

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Observation 9cb8ee2c-6895-4b44-b563-c18723bbc92f · inbound

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation cites this paper.

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T06:04:35.457714Z

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Observation 030a7c39-0ea4-48c8-985e-e6137171ad2d · inbound

Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training cites this paper.

Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 50

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Observation faea6002-b360-4004-a777-0409526b251f · inbound

Chain-of-Model Learning for Language Model cites this paper.

Chain-of-Model Learning for Language Model TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:41.071086Z

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Observation b62ac5ff-08e4-45d8-936e-b76c8dac6155 · inbound

MAGI-1: Autoregressive Video Generation at Scale cites this paper.

MAGI-1: Autoregressive Video Generation at Scale TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:31:15.813662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0bd52271-10b8-4d50-a78c-22c4a00bb911 · inbound

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism cites this paper.

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 29

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Unavailable: canonical work link unavailable.

Observation 6c2374d8-4fe3-4c22-b633-27febef3d874 · inbound

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage cites this paper.

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:32.332267Z

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Unavailable: canonical work link unavailable.

Observation e682afbd-f93a-4c04-9456-ff36c8ee2004 · inbound

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space cites this paper.

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 29

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Observation df422db6-b282-4291-b489-68445d4f3ab8 · inbound

Photonic Rails in ML Datacenters cites this paper.

Photonic Rails in ML Datacenters TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 31

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Observation cb980126-be23-4097-91c4-b987ac8cd961 · inbound

Zorse: Optimizing LLM Training Efficiency on Heterogeneous GPU Clusters cites this paper.

Zorse: Optimizing LLM Training Efficiency on Heterogeneous GPU Clusters TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:38:40.000570Z

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Observation b832b031-4885-4357-8925-1d1b508f3784 · inbound

TorchAO: PyTorch-Native Training-to-Serving Model Optimization cites this paper.

TorchAO: PyTorch-Native Training-to-Serving Model Optimization TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:24:16.814568Z

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Observation 95ea3d80-ac3c-40c3-882e-ff5eea42491e · inbound

BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models cites this paper.

BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T23:21:21.580170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc1da9c1-185e-4b1f-826b-3d7303cb6b33 · inbound

Opus: Photonic Rail-Optimized Fabric in ML Datacenters cites this paper.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T23:50:55.995895Z

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Unavailable: canonical work link unavailable.

Observation 3f5ab610-3b51-4240-bd77-2165d03a2bb1 · inbound

Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML cites this paper.

Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:55.168463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1175d644-e51a-49f6-a538-8ff8ed301a29 · inbound

UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training cites this paper.

UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:05.145883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba7e42bd-b22a-4cd8-a2b6-13d5f377aa58 · inbound

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation cites this paper.

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T04:10:08.719495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1ccaf99-0a12-47fe-a560-e2ea3f7c894a · inbound

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation cites this paper.

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:59:49.123448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2f07f89-81ed-4330-896b-ba542b4f3655 · inbound

A Rayleigh criterion for mechanical instability: inducing activity by chemo-mechanical coupling cites this paper.

A Rayleigh criterion for mechanical instability: inducing activity by chemo-mechanical coupling TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T17:24:35.961717Z

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Unavailable: canonical work link unavailable.

Observation f512b045-6c78-4794-b02b-0263e3982fa9 · inbound

CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure cites this paper.

CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:31:17.692290Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b103c06-654d-4126-83ce-0784668f198d · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:06:27.867024Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e412fe96-077e-42eb-821a-b7431523de41 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:59:46.082489Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9dba34c-b3e3-4fe3-bbb7-ddd8db792513 · inbound

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs cites this paper.

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:23:07.108084Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf0ea9e9-a2ed-4cb4-b892-b03a12f6522a · inbound

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs cites this paper.

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:24:02.563243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2a7d010-f8b8-4022-b246-1fccc711969f · inbound

DynaFlow: Transparent and Flexible Intra-Device Parallelism via Programmable Operator Scheduling cites this paper.

DynaFlow: Transparent and Flexible Intra-Device Parallelism via Programmable Operator Scheduling TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:36:17.026922Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73ec02c8-d106-4cfc-9ca3-bda0d954d474 · inbound

DMuon: Efficient Distributed Muon Training with Near-Adam Overhead cites this paper.

DMuon: Efficient Distributed Muon Training with Near-Adam Overhead TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:39:58.570696Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25f3fb68-a996-4130-879c-0b1f9a03315a · inbound

Mixture-of-Parallelisms: Towards Memory-Efficient Training Stack for Mixture-of-Experts Models cites this paper.

Mixture-of-Parallelisms: Towards Memory-Efficient Training Stack for Mixture-of-Experts Models TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T06:17:41.158704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 286fa92a-4180-4ff2-8b61-e59afc8690a6 · inbound

MatrixFSDP: communication-free matrix optimizers under ZeRO-3 parameter sharding cites this paper.

MatrixFSDP: communication-free matrix optimizers under ZeRO-3 parameter sharding TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T21:35:37.641393Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f24592d8-2134-48da-a466-d3145be3bf0b · inbound

StrataCL: Fabric-Native Communication Library for Production Supernodes cites this paper.

StrataCL: Fabric-Native Communication Library for Production Supernodes TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T15:42:55.431697Z

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Observation 8ca5d116-f7fb-4b0d-90d6-2ac85455ca3e · inbound

Motif 3: Technical Report cites this paper.

Motif 3: Technical Report TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T23:12:09.988368Z

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Observation b330c79b-3ab7-43f9-adfb-b8cfff00a7ec · inbound

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts cites this paper.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T21:08:06.618512Z

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Unavailable: canonical work link unavailable.