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Paper Citation Record · LEDGER

Do Transformer Modifications Transfer Across Implementations and Applications?

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2102.11972.

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

pith.paper-citation-record.v1
2102.11972 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:14.007990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T20:46:51.527798Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 f6f9f3a2-3f1f-49da-b3d6-b4449ac4b5f2 · inbound

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

ST-MoE: Designing Stable and Transferable Sparse Expert Models Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 178

Resolution
verified exact
arxiv_id, observed 2026-05-12T23:14:25.693560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T23:14:25.431471Z digest=sha256:55663707671c7afca6ad9c6dcc80eef4dcbe0ba7917bed467e7f53c3be7ddd52

Observation c0d1ffc7-6b24-447f-abd2-9840cec6d044 · inbound

Ring Attention with Blockwise Transformers for Near-Infinite Context cites this paper.

Ring Attention with Blockwise Transformers for Near-Infinite Context Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:28:28.275132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T19:28:28.201789Z digest=sha256:24fdc101efd62e8c9f2ce4ee0aba5034e0a376bfb7885d7e29895399398600dd

Observation 0c8e40a3-ddeb-4128-b4c0-f783212dac9f · inbound

ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs cites this paper.

ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-16T11:09:14.007990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.007990Z digest=sha256:fee6c01cc7ed2c26f47683e13f30cff91ee3c9d5ce8b7abc5921c4b34bfcf164

Observation 59a2ce7a-b8d3-469b-b2d6-687498dc3860 · inbound

CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models cites this paper.

CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:46:51.530627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T20:45:11.045881Z digest=sha256:18ef98ee3575ec6c2eabca9f73609672d285128e027cf67fe05d63a9ef1d49da

Observation 404c502f-fd5b-473c-bed4-39a088b3eb38 · 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 Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:36:10.414497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-08T08:29:58.495518Z digest=sha256:151c7791f71d5d58be32d5887e6090a30261fb5e805800175ffca80e33d7ca4d

Observation 2de8ccf8-f805-40c7-be44-7c7313a6c1a2 · inbound

Riemannian Attention Mechanisms for Transformers: A Theoretical Framework and Architecture Design cites this paper.

Riemannian Attention Mechanisms for Transformers: A Theoretical Framework and Architecture Design Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T15:17:19.102088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:17:19.102088Z digest=sha256:5322fa6dd296b4f5372888ca507d93819277a2217decf7855e608d827eed3139

Observation da68bbdb-142d-4595-97f0-01d9ccff0aac · inbound

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure cites this paper.

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:13.910990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:13.910990Z digest=sha256:6f79433cefa993b4ef5c9e7bb6fe357e22fecf51f4577c277e79003d821dc087

Observation a483963a-9ce4-49ec-8ff6-d76413dd6f0a · inbound

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure cites this paper.

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure Do Transformer Modifications Transfer Across Implementations and Applications?

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:38.280691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:21:38.280691Z digest=sha256:6e75a95c969485994c54ef18f4d960a683f1dd96c92f6dfe301767acc4a7a4ba