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Paper Citation Record · LEDGER

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2601.21579.

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

pith.paper-citation-record.v1
2601.21579 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:57:49.296532Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T10:00:07.226252Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:01:23.403125Z

Reference resolution

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation 02463f02-712d-49c9-b99b-d53190cbd4a9 · outbound

This paper cites LoTR: Low Tensor Rank Weight Adaptation.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices LoTR: Low Tensor Rank Weight Adaptation

Reference 1

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source=pdf_text observed=2026-08-03T06:57:47.895974Z digest=sha256:ba1c8772c4a940a1cbbbac7075d1d6f8c24a255407c29ecae7defc2ddcb01e13

Observation c30791f3-b7fb-4517-b2fa-ec481b1fd588 · outbound

This paper cites Training Compute-Optimal Large Language Models.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Training Compute-Optimal Large Language Models

Reference 8

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source=pdf_text observed=2026-08-03T06:57:48.305833Z digest=sha256:e6bb4e216346a32b02b58fed26be632807132b92ef0379d87b708a5bcb6154c6

Observation 1a5b3ce4-2940-49e8-a909-3a073882034f · outbound

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

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Residual Matrix Transformers: Scaling the Size of the Residual Stream

Reference 11

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source=pdf_text observed=2026-08-03T06:57:48.485750Z digest=sha256:8ae66ded7291b2fe09b462047d567ff43609137a34b23ef9cb7b446048b88641

Observation 5ecc1f67-a802-4320-88fc-bf73816e814a · outbound

This paper cites Common- senseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Common- senseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 12

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source=pdf_text observed=2026-08-03T06:57:48.561161Z digest=sha256:401ffb32be05aac979cf37d0c9617bb0efbca55aef33bf1325e9ad835d429cc4

Observation 92a0c488-4d6a-4c65-bcf7-9a67b308e09c · outbound

This paper cites Tensor Networks Meet Neural Networks: A Survey and Future Perspectives.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 13

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source=pdf_text observed=2026-08-03T06:57:48.617730Z digest=sha256:e21ab274af2653d4a1fa006d3c39c7dc51324a8ca08364563c948add2d3fbf5c

Observation e51a55f0-113c-402c-b5a4-fc584766dc86 · outbound

This paper cites MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections

Reference 14

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source=pdf_text observed=2026-08-03T06:57:48.680354Z digest=sha256:1f1eb73638fb4b855b8fe42c73fa39f445f39619418c8d7cee267bba18f8081c

Observation 9d092c5d-c65b-4631-abe6-9f975baf3d89 · outbound

This paper cites ResiDual: Transformer with Dual Residual Connections.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices ResiDual: Transformer with Dual Residual Connections

Reference 15

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source=pdf_text observed=2026-08-03T06:57:48.745151Z digest=sha256:e12c736c63b8ac3d5d8d2127d67e1189c1872e98389ce4b347fded6e8c933c28

Observation 86579d70-9f98-4ec0-8710-ff19552309d0 · outbound

This paper cites mHC: Manifold-Constrained Hyper-Connections.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices mHC: Manifold-Constrained Hyper-Connections

Reference 16

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source=pdf_text observed=2026-08-03T06:57:48.803676Z digest=sha256:6112bf7e5efbb7db39d79e1d854ef68852ef9618843bf68d8b72528b4180c88c

Observation 64534a2b-1333-4174-8a91-f6b81b0c8a20 · outbound

This paper cites TensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices TensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition

Reference 17

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source=pdf_text observed=2026-08-03T06:57:48.900168Z digest=sha256:54f006ea1813a8e2ec322c99aa3fb4416365f6cad13e6f8c9a1f061ec1a8480f

Observation 4b76fa7f-6a9c-46b3-a17a-ca5e028f8403 · outbound

This paper cites and Gao, J.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices and Gao, J

Reference 18

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source=pdf_text observed=2026-08-03T06:57:48.967651Z digest=sha256:859f6992ca731bf73027808b0ded8ce289cddf1de1737caed29141d1d315d5de

Observation a3b49934-ca36-4b31-85bf-dde16a6e9303 · outbound

This paper cites URL https://aclanthology.org/P19-1472/.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices URL https://aclanthology.org/P19-1472/

Reference 20

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source=pdf_text observed=2026-08-03T06:57:49.069044Z digest=sha256:c8678e152754bb3c0e99888d8920e496c5bb44069451ce3b0296db7e76f1901b

Observation 46cade8a-8230-4503-802b-c68720a8d8f0 · outbound

This paper cites There are 22 selected tasks, where in each task, accuracy is linearly scaled so that 0 indicates random- guess performance and 1 implies perfect accuracy.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices There are 22 selected tasks, where in each task, accuracy is linearly scaled so that 0 indicates random- guess performance and 1 implies perfect accuracy

Reference 21

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source=pdf_text observed=2026-08-03T06:57:49.160703Z digest=sha256:09182ddab58f4581c75b90562171a29987e3a2d18a862b2957aec833b70ba13f

Observation da2c1faf-3b00-4335-ade6-9b38e9ca7fde · outbound

This paper cites an unresolved cited work.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-03T06:57:49.209512Z digest=sha256:e601cd644c9565b149c60cf79b53614a82626f00f4bcba8374c1e53cb8b0f3c7

Observation efbc0a6d-00a0-4b2b-bc30-e9e9e14bd7c3 · outbound

This paper cites Additionally, following the best practice in Karpathy (2025), different learning rates (LR) are used for embedding layer, LM layer, main branch and hyper-connections branch.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Additionally, following the best practice in Karpathy (2025), different learning rates (LR) are used for embedding layer, LM layer, main branch and hyper-connections branch

Reference 23

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source=pdf_text observed=2026-08-03T06:57:49.264140Z digest=sha256:47b3564c7371a7b8af3351981a47ffec6b65c418929fead80fcd5e1d183c3a71

Observation 9650763c-f22d-4f7a-bca5-d8d9472877fa · outbound

This paper cites Raw gradient norm across 7000 training steps.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Raw gradient norm across 7000 training steps

Reference 24

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source=pdf_text observed=2026-08-03T06:57:49.296532Z digest=sha256:d75ac7e51df44637d21b5252f0cad6c4af77d0a4bacf64a8b32da0610a4fcd07

Observation a89b50f3-a470-4e94-bde8-e4fd1a1a50ae · outbound

This paper cites Highway Transformer: Self-Gating Enhanced Self-Attentive Networks.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Highway Transformer: Self-Gating Enhanced Self-Attentive Networks

Reference 1946

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source=pdf_text observed=2026-08-03T06:57:47.960090Z digest=sha256:b1305f53ebe74963ac5b662ec6581661e247a262dd799c7170e9527833680e9f

Observation ac042dfb-8658-4207-a125-321018970ae7 · outbound

This paper cites Cross-Layer Retrospective Retrieving via Layer Attention.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Cross-Layer Retrospective Retrieving via Layer Attention

Reference 2000

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source=pdf_text observed=2026-08-03T06:57:48.169534Z digest=sha256:1562fc1070821e3995d91a885f4f0a8ed73cd6228e66df6905bca4a0f0dac83a

Observation de9bd417-d3e8-4e79-9eb4-1e3a188f8b8f · outbound

This paper cites Cichocki, A., Lee, N., Oseledets, I., Phan, A.-H., Zhao, Q., Mandic, D.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Cichocki, A., Lee, N., Oseledets, I., Phan, A.-H., Zhao, Q., Mandic, D

Reference 2015

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source=pdf_text observed=2026-08-03T06:57:48.019870Z digest=sha256:0c2ffd011d936a2aa2928d79d3131a88f0c165beeea1a3da76af58c88e5dfdff

Observation 72545a2b-235a-4ff0-8577-6ece184af158 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 2016

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source=pdf_text observed=2026-08-03T06:57:48.081770Z digest=sha256:71c1bb07928bbda881d0b52c6994269281f0e0607fd16278dc80b559dbd50527

Observation 33c34dca-271e-4847-a183-5e20a8794000 · outbound

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

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

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source=pdf_text observed=2026-08-03T06:57:48.113639Z digest=sha256:17affc7e85f5f471dfe771e5f171bf5a3154acb57fbd93a555406d52b01386c4

Observation c2f581ec-d471-4435-867b-cc691c62711f · outbound

This paper cites Tensor- LLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Tensor- LLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs

Reference 2023

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source=pdf_text observed=2026-08-03T06:57:48.213970Z digest=sha256:bf39f79e24d387a875f6f0a657a575ad8763cf71e7c747f96439e02b0eff7628

Observation d33cb1ce-5500-497c-80be-7f05f59d008a · outbound

This paper cites Muon is Scalable for LLM Training.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Muon is Scalable for LLM Training

Reference 2024

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source=pdf_text observed=2026-08-03T06:57:48.394471Z digest=sha256:d1e91f29eda005f542d4bf50031622908a5cc47fd7d741b90a883ecdaa41353a

Observation 39457f59-d443-442d-bab1-0058939d24f8 · outbound

This paper cites Accessed: 2026-01-13.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Accessed: 2026-01-13

Reference 2025

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source=pdf_text observed=2026-08-03T06:57:48.365970Z digest=sha256:e895dad710a3ba442f9caf1422bb61b138d03a82edba65270596a38e66efe192

Observation 4cbc0b64-7941-4c62-bf3b-99df8d7e5104 · outbound

This paper cites LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra- Low-Parameter Fine-Tuning of Large Language Mod- els.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra- Low-Parameter Fine-Tuning of Large Language Mod- els

Reference 2026

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source=pdf_text observed=2026-08-03T06:57:49.010574Z digest=sha256:1e1098df7d8536f325a5f2a230b72036fcf38c46800ca93501f7951e25c01a3b

Pith citing papers

Observation 1f2e6b8a-0335-4e20-b3f8-aa1049ceda06 · inbound

TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes cites this paper.

TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices

Reference 24

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arxiv_id, observed 2026-06-02T04:04:48.912580Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T10:00:07.226252Z digest=sha256:b5d3919dc37f4743c30e4932f38ae1586b3543bf953d2d9ebb66a177c79ff3f1