Paper Citation Record · LEDGER

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 10 inbound Pith citation observations for arXiv:2502.02732.

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

pith.paper-citation-record.v1
2502.02732 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:23:41.055567Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:21:10.661789Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:30:07.740339Z

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy14
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f434b86a-30db-4c69-9e5d-f50cb7796c1b · outbound

This paper cites write newline.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.851628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33036fcf-68a6-40d5-9d13-e66ae0bcde08 · outbound

This paper cites Layer Normalization.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Layer Normalization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.877867Z

Source-reported events for the cited work

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Observation 489b6201-372d-49a7-abd8-e83b6d28aec4 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Piqa: Reasoning about physical commonsense in natural language

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.892330Z

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Observation 6fa722ab-77cf-46aa-9809-f9ffe06d2493 · outbound

This paper cites L., and Simonyan, K.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture L., and Simonyan, K

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.573228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae05f490-bfe2-4729-8b53-be2f80d62ad1 · outbound

This paper cites L., and Simonyan, K.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture L., and Simonyan, K

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.562745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b316606-3123-4869-a6db-25d10e720cde · outbound

This paper cites M., Thorne, J., and Yun, S.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture M., Thorne, J., and Yun, S

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.550491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a70a568f-fcf9-44cd-abf6-3f6c792b270e · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.905850Z

Source-reported events for the cited work

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Observation 1a540c13-cf09-4887-992e-30b8a00c4bbb · outbound

This paper cites MoEUT: Mixture-of-Experts Universal Transformers.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture MoEUT: Mixture-of-Experts Universal Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.909701Z

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Observation daa6c897-9273-45f5-a1e6-dad8f48b6d34 · outbound

This paper cites and Smith, S.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture and Smith, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.540017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8229a91f-b51e-4e77-bebb-c2f276e0c3d5 · outbound

This paper cites P., Caron, M., Geirhos, R., Alabdulmohsin, I., Jenatton, R., Beyer, L., Tschannen, M., Arnab, A., Wang, X., Ruiz, C.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture P., Caron, M., Geirhos, R., Alabdulmohsin, I., Jenatton, R., Beyer, L., Tschannen, M., Arnab, A., Wang, X., Ruiz, C

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.528861Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ff7c646-81ee-4f4f-a085-e65cd0e673bd · outbound

This paper cites Gpt3.int8(): 8-bit matrix multiplication for transformers at scale.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Gpt3.int8(): 8-bit matrix multiplication for transformers at scale

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.518073Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90beec48-6507-4b43-85cb-26e22324facb · outbound

This paper cites The Llama 3 Herd of Models.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.925710Z

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Observation f804b551-985d-46b4-9dc7-9f50336ff2f0 · outbound

This paper cites Scaling FP8 training to trillion-token LLMs.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Scaling FP8 training to trillion-token LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.929720Z

Source-reported events for the cited work

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Observation 682aae9f-fafc-44c9-9a0d-e5c5c0bda128 · outbound

This paper cites A framework for few-shot language model evaluation, 07 2024.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture A framework for few-shot language model evaluation, 07 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.933794Z

Source-reported events for the cited work

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Observation d09e8149-6d69-44e0-bad1-c5ce28e1ffdb · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.937603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f1e2a8-b304-4d18-bc08-be09ac3352ef · outbound

This paper cites Identity mappings in deep residual networks.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Identity mappings in deep residual networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.941936Z

Source-reported events for the cited work

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Observation 3797cbe1-dd16-44b3-ad2e-ab9d53d4116e · outbound

This paper cites Training Compute-Optimal Large Language Models.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Training Compute-Optimal Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.945771Z

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Observation f1bb609d-33cc-42c1-8579-99c6a4319361 · outbound

This paper cites A., Khyalia, S., Jung, J., Goka, H., and Lee, H.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture A., Khyalia, S., Jung, J., Goka, H., and Lee, H

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.506469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c0e1cdc-9a3b-4385-864c-ac3734dfee30 · outbound

This paper cites DataComp-LM: In search of the next generation of training sets for language models.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture DataComp-LM: In search of the next generation of training sets for language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.953362Z

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Observation a31f75b4-e492-4d28-a9f1-391160482c09 · outbound

This paper cites Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.957150Z

Source-reported events for the cited work

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Observation 387a7cb2-6a81-4870-b072-6f18762890be · outbound

This paper cites nGPT: Normalized Transformer with Representation Learning on the Hypersphere.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture nGPT: Normalized Transformer with Representation Learning on the Hypersphere

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.961082Z

Source-reported events for the cited work

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Observation c45c6c18-8285-42b1-a488-f82ce8b71647 · outbound

This paper cites Pointer sentinel mixture models, 2016.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Pointer sentinel mixture models, 2016

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.965013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8a9af5-cecf-4a19-90e4-fe0ef20036a3 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.968440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b61c7c-d3ba-4f10-9f51-c300bec588ee · outbound

This paper cites 2 OLMo 2 Furious.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture 2 OLMo 2 Furious

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.972128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b3394c-4b23-4505-8dbc-1851da4d4e73 · outbound

This paper cites L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.483607Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 85ec0cc4-3662-442c-97cf-fd1d460adbfd · outbound

This paper cites an unresolved cited work.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.979249Z

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Unavailable: canonical work link unavailable.

Observation 8b1e79a5-d6b3-4751-9ea3-df53f9195c07 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.982032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf1532cd-400e-44f5-a65b-adc92efedd93 · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture L., Bhagavatula, C., and Choi, Y

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.985508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5abc72c6-91bb-45f4-81cb-d482a5edef7b · outbound

This paper cites L., and Choi, Y.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture L., and Choi, Y

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.989356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b3edb7-d041-4212-bc15-c788e160fcef · outbound

This paper cites Massive Activations in Large Language Models.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Massive Activations in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.993209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a60c67d-ea8b-4711-8474-e9476ac3d168 · outbound

This paper cites Spike No More: Stabilizing the Pre-training of Large Language Models.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Spike No More: Stabilizing the Pre-training of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.997471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3a15d2e-cd47-41d2-9885-18a4cf15b8f9 · outbound

This paper cites C ommonsense QA : A question answering challenge targeting commonsense knowledge.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture C ommonsense QA : A question answering challenge targeting commonsense knowledge

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:41.001809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0ffefa-e06a-4d59-bcc2-249464d75863 · outbound

This paper cites N., Kaiser, L., and Polosukhin, I.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture N., Kaiser, L., and Polosukhin, I

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:41.005504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1782f0-9542-4ac3-97ac-ff1c35bec19b · outbound

This paper cites GLUE : A multi-task benchmark and analysis platform for natural language understanding.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture GLUE : A multi-task benchmark and analysis platform for natural language understanding

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:41.009462Z

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Observation 4f061457-a891-4704-a02e-6304a0928a86 · outbound

This paper cites L., Gugger, S., Drame, M., Lhoest, Q., and Rush, A.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture L., Gugger, S., Drame, M., Lhoest, Q., and Rush, A

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:41.013426Z

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Unavailable: canonical work link unavailable.

Observation bdf134be-3901-4f65-9e91-2c71f1564e43 · outbound

This paper cites J., Xiao, L., Everett, K.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture J., Xiao, L., Everett, K

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.454954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 235e7f01-f60e-464a-9ec5-ef9bdb045830 · outbound

This paper cites On layer normalization in the transformer architecture.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture On layer normalization in the transformer architecture

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.444567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23483fe6-e21b-45e7-8bee-6191beb2f6ce · outbound

This paper cites and Hu, E.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture and Hu, E

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.433266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5e1b34c-27a7-47fb-828b-3d361a3956a8 · outbound

This paper cites Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:41.028667Z

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Unavailable: canonical work link unavailable.

Observation c2c44df5-cfa7-4c95-8f64-380ab4e7127c · outbound

This paper cites Tensor programs VI: feature learning in infinite depth neural networks.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Tensor programs VI: feature learning in infinite depth neural networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.422449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72684422-acc7-4d9c-b5e4-255bd4e51eb3 · outbound

This paper cites The Super Weight in Large Language Models.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture The Super Weight in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:41.036654Z

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Observation daa9108c-0e48-4ae2-8efb-73377e0be55d · outbound

This paper cites H ella S wag: Can a machine really finish your sentence? In Korhonen, A., Traum, D., and M \`a rquez, L.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture H ella S wag: Can a machine really finish your sentence? In Korhonen, A., Traum, D., and M \`a rquez, L

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:41.043808Z

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Unavailable: canonical work link unavailable.

Observation 7ae72bcf-7902-42ec-973e-de252bd75d5f · outbound

This paper cites an unresolved cited work.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:23:41.411931Z

Source-reported events for the cited work

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Observation 15357f38-1a24-48bf-a6b7-06ac4b227d9a · outbound

This paper cites and Sennrich, R.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture and Sennrich, R

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.400476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71f6c8eb-862d-46d5-83e1-99b8114cfe6b · outbound

This paper cites LIMA: less is more for alignment.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture LIMA: less is more for alignment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:23:41.389771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 5ed40db9-0ac8-49d2-9536-daa3fb9bbafe · inbound

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling cites this paper.

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:21:10.661789Z

Source-reported events for the cited work

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Observation 06bcf884-d9c7-4e6d-947d-a84f125f271c · inbound

SpanNorm: Reconciling Training Stability and Performance in Deep Transformers cites this paper.

SpanNorm: Reconciling Training Stability and Performance in Deep Transformers Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 2024

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Observation b04c715f-4d2d-4480-a55f-e04f410edc69 · inbound

LoRDO: Distributed Low-Rank Optimization with Infrequent Communication cites this paper.

LoRDO: Distributed Low-Rank Optimization with Infrequent Communication Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T04:44:55.564583Z

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Observation a43618bd-4db6-4598-b4fb-d7af19f0727e · inbound

SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm cites this paper.

SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:14:47.951414Z

Source-reported events for the cited work

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Observation 78dcf9be-8b7a-4367-933a-18d8627f13ed · inbound

Stability and Generalization in Looped Transformers cites this paper.

Stability and Generalization in Looped Transformers Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.716182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a9dcb7a-7994-4f6a-85c5-7ebfefe6c14a · inbound

When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer cites this paper.

When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:10.321368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c0dc39b1-a0ee-4ea3-b7d2-21ab322a31f0 · inbound

Dead Directions: Geometric Singular Learning cites this paper.

Dead Directions: Geometric Singular Learning Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.173661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0605a6f-b5f6-43ad-b366-a132f84ce771 · inbound

Algebraic Dead Directions in LayerNorm Transformers: A Forward-Pass-Only Diagnostic at LLM Scale cites this paper.

Algebraic Dead Directions in LayerNorm Transformers: A Forward-Pass-Only Diagnostic at LLM Scale Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:29:15.314353Z

Source-reported events for the cited work

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Observation 04607fde-e876-48eb-a945-022b466d8c50 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 98

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:30:07.742267Z

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Observation 688d377c-aa05-4460-9e65-c8e76ea8e7f5 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Peri-LN: Revisiting Normalization Layer in the Transformer Architecture

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T10:14:07.666821Z

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