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Paper Citation Record · LEDGER

On Layer Normalization in the Transformer Architecture

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2002.04745.

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

pith.paper-citation-record.v1
2002.04745 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:50:31.062172Z

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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External citation measurements

110
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d0a21876-7cf2-4ee6-91f8-5a2f69018fa7 · inbound

Longformer: The Long-Document Transformer cites this paper.

Longformer: The Long-Document Transformer On Layer Normalization in the Transformer Architecture

Reference 127

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verified exact
arxiv_id, observed 2026-05-10T13:29:58.790244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T13:29:58.719341Z digest=sha256:414f500f975a79b20de1576fcb64fead72192c296e267a4363747fda1951fef2

Observation f511a1ad-1837-4de6-b872-298dbb6cd721 · inbound

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT cites this paper.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT On Layer Normalization in the Transformer Architecture

Reference 39

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unresolved
no resolver link, observed 2026-08-04T14:50:31.062172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.062172Z digest=sha256:a388929994d5d9dcd1ff672fdf631b5969a076fa13929dcef3ff80e3375af9c1

Observation 396aecbb-6ada-44f0-a0f1-98aea25df2e7 · inbound

Numerical Fragility in Transformers: A Layer-wise Theory for Risk Estimation and Selective Stabilization cites this paper.

Numerical Fragility in Transformers: A Layer-wise Theory for Risk Estimation and Selective Stabilization On Layer Normalization in the Transformer Architecture

Reference 11

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unresolved
no resolver link, observed 2026-08-04T09:30:54.358352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:30:54.358352Z digest=sha256:5e40702140aecaf23c70fa779cfab127fe50af75cf4920f5ead48170c7d8f582

Observation 869c4eb3-7f76-4d60-82aa-c7424891427c · inbound

LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems cites this paper.

LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems On Layer Normalization in the Transformer Architecture

Reference 167

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metadata mismatch
arxiv_id, observed 2026-05-16T12:47:53.808900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T12:47:28.248540Z digest=sha256:7ed0d80872c8d2de41de4fdfcc85185c6024633c00621ca1bb225cf0daa5a9c9

Observation 83a64134-f02f-4d0e-83dc-d81b72717556 · inbound

Gated Normalization Removal and Scale Anchoring in Pre-Norm Transformers cites this paper.

Gated Normalization Removal and Scale Anchoring in Pre-Norm Transformers On Layer Normalization in the Transformer Architecture

Reference 10

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verified exact
arxiv_id, observed 2026-05-21T14:20:13.506006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T14:19:46.400753Z digest=sha256:7739adad95f1c71f4699183586bd93686388e779b47d0a5a7060dfee19498578

Observation 185b8c26-8f61-4af6-81b0-a0a5f75ccce9 · inbound

Attention Residuals cites this paper.

Attention Residuals On Layer Normalization in the Transformer Architecture

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:39:04.461102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:39:04.312270Z digest=sha256:e32655fc7f273d9d5f75be75aaa0f20aaecb535f0a64b479dc1ce311bd757164

Observation 8dbe2fe2-2bed-4b1f-b169-5bcbdcce2286 · inbound

Stability and Generalization in Looped Transformers cites this paper.

Stability and Generalization in Looped Transformers On Layer Normalization in the Transformer Architecture

Reference 22

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metadata mismatch
arxiv_id, observed 2026-05-10T12:25:22.703085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T12:21:16.015362Z digest=sha256:46792d331cc182e7caa34b030bcd46d6f2b7272af2c804d3a0e4c662d8b5ecfd

Observation 495e95cf-0503-4808-840a-fb8bf8e7a490 · inbound

Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS$^{2}$ inversion results using a visual transformer model cites this paper.

Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS$^{2}$ inversion results using a visual transformer model On Layer Normalization in the Transformer Architecture

Reference 24

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verified exact
arxiv_id, observed 2026-05-09T21:18:24.710219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-09T21:17:24.132264Z digest=sha256:f7e20f132c52c4596ceb3f4dc0563b03b5f93c2309ba394cad0484743371517f

Observation 867103b9-ec19-47ac-b2ed-030e4fac50f8 · inbound

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks cites this paper.

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks On Layer Normalization in the Transformer Architecture

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:10:43.169305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:47:04.091987Z digest=sha256:aa130e80651b6afe665df27375d3c5a0535cf7a08a145c83f51620582283ef6a

Observation c5efaccc-8a03-4960-b1a0-f3de55021e49 · inbound

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks cites this paper.

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks On Layer Normalization in the Transformer Architecture

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T00:03:51.954219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T00:02:01.826213Z digest=sha256:054d9be3e10a7720ccd90c1fe4b1be80a2097f9f73be750b99dca919600b5dd0

Observation 4193e720-9d70-4320-97cd-88c305d9e170 · inbound

Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity cites this paper.

Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity On Layer Normalization in the Transformer Architecture

Reference 92

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metadata mismatch
arxiv_id, observed 2026-05-11T04:45:57.024694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T01:06:48.313418Z digest=sha256:e4b620a2ae4cfcae8034be89eea5861ce49e4ba2960936a246e51696f3f96920

Observation 30eae8b4-9d7d-4664-b4ae-dafe7b3f243a · inbound

A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization cites this paper.

A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization On Layer Normalization in the Transformer Architecture

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-20T13:08:17.804350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T13:05:50.518189Z digest=sha256:abc727d85fe484b15d4d8d06e786e208ee8d5dbf4edaf56c11fb9f3cfcc2f22c

Observation 3eb80d0f-6497-433a-bd71-319c603db9b2 · inbound

Multi-Gate Residuals cites this paper.

Multi-Gate Residuals On Layer Normalization in the Transformer Architecture

Reference 19

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verified exact
arxiv_id, observed 2026-05-25T04:50:21.115218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-25T04:48:06.164938Z digest=sha256:ad9cf79b337528bdb2484b5c82ec1dc2e89b2711aa25035d837eb2febe9681df

Observation c72acf9a-6e09-44d8-b788-7888020f2cbe · inbound

When Does Routing Become Interpretable? Causal Probes on Block Attention Residuals cites this paper.

When Does Routing Become Interpretable? Causal Probes on Block Attention Residuals On Layer Normalization in the Transformer Architecture

Reference 1

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metadata mismatch
arxiv_id, observed 2026-07-03T14:08:22.417733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T07:09:58.148158Z digest=sha256:054393521e62f8288038c27400078e04a185674327fe8a1eb7dfddd77fa9d2c9

Observation 4bf49af2-564e-4f6d-bbd9-2e7cef7ee91c · inbound

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models cites this paper.

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models On Layer Normalization in the Transformer Architecture

Reference 150

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verified exact
arxiv_id, observed 2026-07-04T20:00:07.792488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-25T20:56:54.213502Z digest=sha256:ce118c6b28fed8b15026b5002bc685e1f2fccf9a2ce3b8d550e002df8ae0ce8b

Observation a5dc89d5-db6c-4b08-b2a0-3bd7ad067f9c · inbound

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models cites this paper.

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models On Layer Normalization in the Transformer Architecture

Reference 150

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verified exact
arxiv_id, observed 2026-07-01T08:35:34.350016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-01T07:18:00.852226Z digest=sha256:7a27a8b60f71eee81d649fb53082523020325d3c849b4222a9378c1b3412aafb

Observation 81d919fe-a45d-4343-b27e-f69a82c46e50 · 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 On Layer Normalization in the Transformer Architecture

Reference 155

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metadata mismatch
arxiv_id, observed 2026-07-04T20:30:07.732117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-25T20:05:09.179627Z digest=sha256:cb8b99bf8cb84702dc0b54e35249453a376f93425738bb77325d516edd3e8cb9

Observation 63fe29e8-d071-458b-8751-143ad0502d1a · 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 On Layer Normalization in the Transformer Architecture

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-02T10:14:12.772890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:14:12.772890Z digest=sha256:43331e38adc68f1011d643c2016481c7616d3a8458048cf6330da3107539bf63

Observation 8246642a-078f-44bd-83bc-4a6d7d2bb73d · inbound

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI cites this paper.

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI On Layer Normalization in the Transformer Architecture

Reference 50

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metadata mismatch
arxiv_id, observed 2026-07-04T13:09:50.648855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation eb70e4d5-fe7f-41f2-92ca-b71beecca8b4 · inbound

Review Residuals: Update-Conditioned Residual Gating for Transformers cites this paper.

Review Residuals: Update-Conditioned Residual Gating for Transformers On Layer Normalization in the Transformer Architecture

Reference 16

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verified exact
arxiv_id, observed 2026-07-01T06:45:29.882455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T06:38:06.546686Z digest=sha256:12170b657716a59fe520a8ce1b18e8e314df9cfd24610921f0fdacd9122d9663

Observation 848762ed-8f63-4e7c-8383-3f8f4857f2ef · inbound

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning cites this paper.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning On Layer Normalization in the Transformer Architecture

Reference 22

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metadata mismatch
local_arxiv, observed 2026-07-11T01:07:41.766572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-11T01:07:21.002787Z digest=sha256:fb0c6d7c749f9b85e04c278a2a189cec2e476f2fc73a2899b5bd70113c902b5c

Observation e1dd37d8-ff71-4d50-88a5-da84c26d928c · inbound

Transformer-based machine learning using low-level calorimeter signals for collimated photon identification at collider experiments cites this paper.

Transformer-based machine learning using low-level calorimeter signals for collimated photon identification at collider experiments On Layer Normalization in the Transformer Architecture

Reference 59

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verified exact
local_arxiv, observed 2026-07-10T11:57:03.347267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-10T11:52:41.218796Z digest=sha256:f6c05038c65c009c281663f93609c1c4df5efcee6262a1ae270d39afe2aecd17

Observation 0b578e91-b4dd-455b-9c58-3543798254fc · inbound

Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands cites this paper.

Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands On Layer Normalization in the Transformer Architecture

Reference 156

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unresolved
no resolver link, observed 2026-07-14T15:23:41.787467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:23:41.787467Z digest=sha256:f404fe3e6e8da430b68d87ef1ea8138fb227678d4fb0d0000af49f1ac7f50995

Observation 535da196-d83a-4506-845d-21108aec6217 · inbound

D$e^+e^-$ffusion: Capturing the Beam-Beam Physics of $e^+e^-$ Collisions with Diffusion Models cites this paper.

D$e^+e^-$ffusion: Capturing the Beam-Beam Physics of $e^+e^-$ Collisions with Diffusion Models On Layer Normalization in the Transformer Architecture

Reference 34

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unresolved
no resolver link, observed 2026-08-01T15:17:23.641812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:17:23.641812Z digest=sha256:d76250f803136c97f819a8ca8457e9f014e6a918290a611e2e78e960f2d2019a

Observation 52a6677f-17ae-4bd3-b77e-f8ca87bdbb24 · inbound

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model cites this paper.

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model On Layer Normalization in the Transformer Architecture

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-01T12:16:40.088639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:16:40.088639Z digest=sha256:9efdb747102bffbffd1820d00c52aee5bed02872e27d0c870008e5f46b16f947

Observation 16560fdc-5b38-4b94-bf52-59acc1f317d3 · inbound

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model cites this paper.

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model On Layer Normalization in the Transformer Architecture

Reference 145

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unresolved
no resolver link, observed 2026-08-01T12:16:44.665663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:16:44.665663Z digest=sha256:38e980b6d7a32d3a70fb51dbc276a5f201756c2c8d05685a330f344199299046