Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:07:54.928227Z
Paper Citation Record · LEDGER
StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel
As of 11 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.
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
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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
Source-reported events for the cited work
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.