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Paper Citation Record · LEDGER

ReZero is All You Need: Fast Convergence at Large Depth

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2003.04887.

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

pith.paper-citation-record.v1
2003.04887 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:10:38.027642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:29:36.294672Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 143a60d4-5f6e-4944-bb99-00be61621381 · inbound

Residual Matrix Transformers: Scaling the Size of the Residual Stream cites this paper.

Residual Matrix Transformers: Scaling the Size of the Residual Stream ReZero is All You Need: Fast Convergence at Large Depth

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:10:38.027642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:10:38.027642Z digest=sha256:35e1d50f0f66655be2b18c4969857ca19c3217971e0c31ec5f1647668542187d

Observation 17fed5c3-6111-4af5-9a55-337f6767ef5a · inbound

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation cites this paper.

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation ReZero is All You Need: Fast Convergence at Large Depth

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T16:29:59.581831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:29:59.581831Z digest=sha256:f4dd7a4a08bd52d46998851a27d75b22c9ac5aca7a0a3333436c751366bca2a2

Observation d98b7031-33a1-441e-a186-0d56135e4b28 · inbound

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

Gated Normalization Removal and Scale Anchoring in Pre-Norm Transformers ReZero is All You Need: Fast Convergence at Large Depth

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:20:13.488924Z

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.

source=pdf_text observed=2026-05-21T14:19:46.400753Z digest=sha256:29295f0bb8aafe928b5c844dc1a0ab705c113ed2ef3c471726fd879fad3d3ef1

Observation 15f46023-078f-4a3e-ae84-15d5872d299b · inbound

Prototype Transformer: Towards Language Model Architectures Interpretable by Design cites this paper.

Prototype Transformer: Towards Language Model Architectures Interpretable by Design ReZero is All You Need: Fast Convergence at Large Depth

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T00:02:44.101431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:02:44.101431Z digest=sha256:24800041a9f8287a0db7d22f975ba6ef704bcc636f8517468a600af261afce58

Observation 6192be48-d836-4a44-82bd-1269e536e205 · inbound

Attention Residuals cites this paper.

Attention Residuals ReZero is All You Need: Fast Convergence at Large Depth

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:39:04.417303Z

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.

source=pdf_text observed=2026-05-21T06:39:04.312270Z digest=sha256:e855bcd26f26b65eb4cb2f9b9f414d518dc4408a2885788dd6252a89214d375c

Observation 11dbc6f7-5f64-4677-b7d4-1d93de4fc0e6 · inbound

Deep learning-based phase-field modelling of brittle fracture in anisotropic media cites this paper.

Deep learning-based phase-field modelling of brittle fracture in anisotropic media ReZero is All You Need: Fast Convergence at Large Depth

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T07:15:11.922283Z

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.

source=pdf_text observed=2026-05-15T07:11:38.960960Z digest=sha256:e4d31a8955ced62ea197b17aa4a48673b10a9174a67645ac831289bfdbbc29e0

Observation d6019ac9-1149-4c79-b6e1-d1f858ad7976 · inbound

PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training cites this paper.

PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training ReZero is All You Need: Fast Convergence at Large Depth

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:31:06.106897Z

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.

source=arxiv_source observed=2026-05-09T21:42:16.848186Z digest=sha256:f120ede05b9157e8c3c1f2c8ddf0064ba7cd6e36cad1bf663bb62ef60050cc2b

Observation 0b98db03-3ca8-4038-b7e9-da68f3ff14d7 · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models ReZero is All You Need: Fast Convergence at Large Depth

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:46:08.399364Z

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.

source=pdf_text observed=2026-05-08T14:07:51.545351Z digest=sha256:08b8791fb8e9c32c1c393e84aa739abe9e7a8ccc5df75954f79a8f24625e095f

Observation 1ba576e8-ae13-4c94-a357-c2a565748301 · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models ReZero is All You Need: Fast Convergence at Large Depth

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:32.862307Z

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.

source=pdf_text observed=2026-05-12T01:27:56.674153Z digest=sha256:47aecdf61d188b305d21b1000c42890c30f89dc2208193fc2d886d42cd234990

Observation 35cb177b-fd28-487a-88ab-9214f1376a2d · inbound

HAARES Half-Split Residual Basis Routing for Deep Transformers cites this paper.

HAARES Half-Split Residual Basis Routing for Deep Transformers ReZero is All You Need: Fast Convergence at Large Depth

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:36:55.423750Z

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.

source=arxiv_source observed=2026-06-28T03:12:38.612580Z digest=sha256:7675c02695fec9258feca386976667cebd49a7965d0bfd9a82744e80d5b7be7d

Observation 6b1937c2-340f-4e11-b0df-beac09ce8a8e · inbound

NNNN: Neural Networks for Newtonian Noise Mitigation at the Einstein Telescope cites this paper.

NNNN: Neural Networks for Newtonian Noise Mitigation at the Einstein Telescope ReZero is All You Need: Fast Convergence at Large Depth

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:29:36.296004Z

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.

source=pdf_text observed=2026-06-26T15:54:57.744336Z digest=sha256:dad8a85eafff827a80befe147a91dccee9da95799e40a5e91ed4098dac6f2ecd

Observation e60a34a5-6502-4401-b787-593681d9356c · inbound

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

Review Residuals: Update-Conditioned Residual Gating for Transformers ReZero is All You Need: Fast Convergence at Large Depth

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.825910Z

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.

source=pdf_text observed=2026-07-01T06:38:06.546686Z digest=sha256:3ea3ecb2d0e51116a7d60e49f55b27b5c6ce5648b22ce471fce6fb703d68a178

Observation b5d16741-b820-49e2-864e-22212dab0d7a · inbound

Learning in Curved Weight Space:Exponential-Linear Weight Reparameterization for Improved Optimization cites this paper.

Learning in Curved Weight Space:Exponential-Linear Weight Reparameterization for Improved Optimization ReZero is All You Need: Fast Convergence at Large Depth

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T14:15:46.074413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:46.074413Z digest=sha256:e3e7a92366f7273e8364ab4e8c3ef4663c1c1bf996ff4012f91a4e162812371f

Observation 01d8864c-cdfd-4dec-90aa-8aed6ec39fdc · inbound

A Controlled Study of Attention-Only Transformers cites this paper.

A Controlled Study of Attention-Only Transformers ReZero is All You Need: Fast Convergence at Large Depth

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T16:19:08.119127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:19:08.119127Z digest=sha256:bb88063250d32ac5f229f986b1966474d749afda5516f1750089f44d6f94461c