Paper Citation Record · LEDGER

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2501.15665.

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

pith.paper-citation-record.v1
2501.15665 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:07:54.928227Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

44 of 44 outbound references displayed

verified exact1
verified fuzzy6
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0e66b9c-320e-4572-9d9b-7b9b0e0d9a75 · outbound

This paper cites write newline.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.776115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd3e6ade-3f2f-462c-83f4-feeb0cacfafa · outbound

This paper cites Alternating updates for efficient transformers.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Alternating updates for efficient transformers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:07:55.351139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cdf6467-f0f1-43fa-a879-4f6a6225a36a · outbound

This paper cites Longformer: The Long-Document Transformer.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Longformer: The Long-Document Transformer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.784407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af2e5f1-3689-40f4-8a95-d4d050f2bfea · outbound

This paper cites Language Models are Few-Shot Learners.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.788205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc58b6e2-e853-447c-9916-d696ac9823fe · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.791794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974c6af0-8261-4366-a204-73bc090c39b9 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel PaLM: Scaling Language Modeling with Pathways

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.795686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377ca7f2-7c8b-40af-a137-d74c7bee3476 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.799312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68fe441-3366-47e0-b7bc-4876fc4334cc · outbound

This paper cites Universal Transformers.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Universal Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.803445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f82287a-7ece-475a-9fda-5da9564be803 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.807031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e20f0e0-afa4-4fb7-aafe-e9e571ac21d3 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.810466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc83045-0a1c-4cad-bec6-1e2e67509c20 · outbound

This paper cites Reddi, Stefanie Jegelka, and Sanjiv Kumar.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Reddi, Stefanie Jegelka, and Sanjiv Kumar

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:07:55.340373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 81d576bc-4f69-483a-b316-dd2e89164723 · outbound

This paper cites Looped Transformers as Programmable Computers.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Looped Transformers as Programmable Computers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.817234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 615d72f9-6afb-491e-a5ee-ae8f3691df54 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.820921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca3b9ef9-da3f-44f6-a784-2f276d87ba7f · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.824603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8469b359-4ada-4fec-9918-50f6dfec981b · outbound

This paper cites Training Compute-Optimal Large Language Models.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Training Compute-Optimal Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.828119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10fb57b7-ceee-4260-ba51-c6762f382a86 · outbound

This paper cites Block-Recurrent Transformers.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Block-Recurrent Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.831688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 385ab400-1d8a-4253-a85e-1dd08ae8c4d3 · outbound

This paper cites Staircase attention for recurrent processing of sequences.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Staircase attention for recurrent processing of sequences

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:07:55.329946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4fdc8c48-23b5-4b66-9e77-eee7e6b37287 · outbound

This paper cites Matryoshka representation learning.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Matryoshka representation learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.838413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83bb5f49-fc43-458d-a238-f9934cce98b4 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.842358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523fb696-6b63-42a7-ae71-4ca8d65db7a2 · outbound

This paper cites Fast Inference from Transformers via Speculative Decoding.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Fast Inference from Transformers via Speculative Decoding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.845629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edfdfc48-336b-489d-a50c-756824a205b6 · outbound

This paper cites Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:07:55.108850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf4e5b96-821d-4b41-a86e-232cf7f3ce8a · outbound

This paper cites Efficient Stagewise Pretraining via Progressive Subnetworks.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Efficient Stagewise Pretraining via Progressive Subnetworks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.852512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dfb7b8e-396e-40ef-bcd6-772041024548 · outbound

This paper cites Efficiently Scaling Transformer Inference.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Efficiently Scaling Transformer Inference

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.856058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ac6e82-cd6f-4cf1-bbda-2c44b32fa343 · outbound

This paper cites Improving language understanding by generative pre-training.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Improving language understanding by generative pre-training

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.859530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88efe3e7-cdf2-460d-8ee0-07c2e55cc399 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.862703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5aa30e-95d6-42a8-8a22-dea4f1cec7bd · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.866116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6715e60-9074-415a-8e31-0023ca83e24f · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.869770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236409e3-b836-469d-b554-53637fc8ea9f · outbound

This paper cites Accelerating Transformer Inference for Translation via Parallel Decoding.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Accelerating Transformer Inference for Translation via Parallel Decoding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.873042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9991db73-6541-42d0-85bf-78d834a577fb · outbound

This paper cites Reasoning with Latent Thoughts: On the Power of Looped Transformers.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.876877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1212362c-9cca-4ea2-bfc2-a8643b658ccb · outbound

This paper cites Blockwise Parallel Decoding for Deep Autoregressive Models.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Blockwise Parallel Decoding for Deep Autoregressive Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.880394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f461045-4b9e-4f8f-a225-8bd229dd4a66 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.883925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075177f1-209e-4200-a319-0728bdbd9fb1 · outbound

This paper cites Spectr: Fast speculative decoding via optimal transport.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Spectr: Fast speculative decoding via optimal transport

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.887481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7f9a87-26f3-4ac1-84e1-ed6e3b949461 · outbound

This paper cites Efficient Transformers: A Survey.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Efficient Transformers: A Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.890675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bef9b9e5-d0a3-4a01-b572-63320d408d61 · outbound

This paper cites Attention is all you need.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Attention is all you need

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:07:55.300946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a9fe3df-ce19-450c-9e8f-b2c6d031e535 · outbound

This paper cites SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.897335Z

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Unavailable: canonical work link unavailable.

Observation ed3f6520-fadc-4424-a824-15cfbed0702f · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Smoothquant: Accurate and efficient post-training quantization for large language models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.900623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e071fe-10f2-4d4d-9791-71ddaca1d093 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel A Survey on Knowledge Distillation of Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.903899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 302c333b-1e1b-4b64-9afd-d34d36425c90 · outbound

This paper cites GSPMD: General and Scalable Parallelization for ML Computation Graphs.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel GSPMD: General and Scalable Parallelization for ML Computation Graphs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.907468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae45bdc-aad4-4d97-87ec-d5af3b0802d1 · outbound

This paper cites Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.910904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4212862-6f12-4e46-91f3-77a45fa41676 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.914225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f8f794-9fb6-40ae-9208-aa739cb468ff · outbound

This paper cites Are more layers beneficial to graph transformers? In The Eleventh International Conference on Learning Representations, 2023.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Are more layers beneficial to graph transformers? In The Eleventh International Conference on Learning Representations, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:07:55.283956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4587f681-fa76-4054-866b-1c4213117015 · outbound

This paper cites @esa (Ref.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel @esa (Ref

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.920828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19aedf0e-fd07-4588-9727-f61e8b482493 · outbound

This paper cites an unresolved cited work.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.924691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc01d97-ea75-4167-9993-bcc4f0b9710a · outbound

This paper cites hidden state.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel hidden state

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:07:55.260422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.