Paper Citation Record · LEDGER

Primer: Searching for Efficient Transformers for Language Modeling

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2109.08668.

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

pith.paper-citation-record.v1
2109.08668 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:55.767067Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:01.480491Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1e1eadf9-6752-4c38-8a22-e808dfd44f84 · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

ST-MoE: Designing Stable and Transferable Sparse Expert Models Primer: Searching for Efficient Transformers for Language Modeling

Reference 200

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:14:25.861443Z

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 152da4b4-8478-4165-8a0c-153ba16efdd4 · inbound

Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning Primer: Searching for Efficient Transformers for Language Modeling

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:22:30.140017Z

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 7e631a03-93fe-489a-ae0b-77f276dc3fe6 · inbound

Fast Inference from Transformers via Speculative Decoding cites this paper.

Fast Inference from Transformers via Speculative Decoding Primer: Searching for Efficient Transformers for Language Modeling

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T22:52:00.193939Z

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 c9f86b64-e0db-4c7e-b56c-69d8782cc61d · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Primer: Searching for Efficient Transformers for Language Modeling

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:55.767067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba483445-22e1-47fa-bc2e-426623c4cc27 · inbound

TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations cites this paper.

TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations Primer: Searching for Efficient Transformers for Language Modeling

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:38.115083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b6b6d0c-110e-4537-ad71-4e3d70ec4747 · inbound

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity cites this paper.

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity Primer: Searching for Efficient Transformers for Language Modeling

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:21:19.008474Z

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 a97283ea-c4a4-401d-a35e-43b2ee9dd29d · inbound

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity cites this paper.

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity Primer: Searching for Efficient Transformers for Language Modeling

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:54:51.152308Z

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 2dc3b978-431c-4f0a-9962-9642290226d5 · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Primer: Searching for Efficient Transformers for Language Modeling

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T15:22:52.961943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ce9369-a7ab-4048-ab75-8ec05532f67d · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence Primer: Searching for Efficient Transformers for Language Modeling

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:40:42.503282Z

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 31333250-5087-409d-9d92-d90c28a5c707 · inbound

From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums cites this paper.

From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums Primer: Searching for Efficient Transformers for Language Modeling

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:47:33.252670Z

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 a92a4ad1-0ee7-4fac-9646-899228e1fa5e · inbound

Three-Phase Transformer cites this paper.

Three-Phase Transformer Primer: Searching for Efficient Transformers for Language Modeling

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:05:24.629483Z

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 81a24bda-88dc-4f43-8406-f21e617dc975 · inbound

ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity cites this paper.

ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity Primer: Searching for Efficient Transformers for Language Modeling

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:26:12.854349Z

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 9af5fca8-be7c-47d2-ab7e-c05513672db6 · inbound

On the global convergence of gradient flow for wide shallow models beyond homogeneous nonlinearities cites this paper.

On the global convergence of gradient flow for wide shallow models beyond homogeneous nonlinearities Primer: Searching for Efficient Transformers for Language Modeling

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:31.411140Z

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 9e074bf5-44df-4e0c-8516-be3272f0c9cb · inbound

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes cites this paper.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Primer: Searching for Efficient Transformers for Language Modeling

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:48:19.650855Z

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 41f62084-2ea2-415e-bf29-d466206687d0 · inbound

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes cites this paper.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Primer: Searching for Efficient Transformers for Language Modeling

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:16:19.681494Z

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 03ec595f-8600-461a-b6b7-3a795559c30a · inbound

Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training cites this paper.

Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training Primer: Searching for Efficient Transformers for Language Modeling

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:14:01.482003Z

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 430ad754-b9ad-4167-82e4-4d64d919e1c6 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Primer: Searching for Efficient Transformers for Language Modeling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T17:31:49.346142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1d067a-18da-46a7-b512-07118b323b7f · inbound

Domyn-Small: A European 10B Reasoning Language Model cites this paper.

Domyn-Small: A European 10B Reasoning Language Model Primer: Searching for Efficient Transformers for Language Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T14:07:52.153859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.