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Paper Citation Record · LEDGER

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability

As of 6 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2606.28116.

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

pith.paper-citation-record.v1
2606.28116 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:08:37.263436Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:20:16.117672Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58953805-5898-414a-84f1-405466d2ccfc · outbound

This paper cites Self-attention networks localize when qk- eigenspectrum concentrates.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Self-attention networks localize when qk- eigenspectrum concentrates

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:308a8e6be004fccaf212fa3ea15a55d7a17b1eb88bcbcc62c8f7855a50d28812

Observation 1f0d4b06-dedc-4cbd-b0d2-b8282d371c20 · outbound

This paper cites Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:39f893e05ad96f01da9b6d450b07fe7c7c4229605cecc807c987fef66cfc494d

Observation d9649c61-ea17-4f2d-b179-295f764b3bd8 · outbound

This paper cites Attention Residuals.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Attention Residuals

Reference 4

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verified exact
local_arxiv, observed 2026-07-01T17:15:50.562998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:2e23674edf205e041b0e87a114944db1a34c8d44b775fdb91189d6f559fc026b

Observation 61fb8017-8b0f-438b-b281-505c2ee7b87b · outbound

This paper cites Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 5

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metadata mismatch
local_arxiv, observed 2026-07-01T17:15:50.565438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:f28d2ae23119a5933fde34c1cb69d58cc0763b721b2074139b9a76a66119091d

Observation 48134a01-c247-4b2d-9bb3-291b12ba03c6 · outbound

This paper cites 12 Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability 12 Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:e639cfdc31176db273abc0557dd711498d6c8b174542e23a2b3ceb7ccea4f3bf

Observation 9ea9ea6c-0ca6-4cb9-a1c5-dabecb97f75a · outbound

This paper cites Cohen, Simran Kaur, Yuanzhi Li, J.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Cohen, Simran Kaur, Yuanzhi Li, J

Reference 7

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source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:e25e2c2f2b28cf176a8c95a70610a3ce928ec9a01c7d83595561bca695364a03

Observation a8c0a19c-7270-437f-b639-78146f4b18a3 · outbound

This paper cites an unresolved cited work.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Unresolved cited work

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:7776fca8741c912d16f6046ffde65b8068c199910415dbaf6c1901ab9c71032a

Observation 7542dddb-d24d-4002-896b-8d21c5c7b78c · outbound

This paper cites Yihe Dong, Jean-Baptiste Cordonnier, and Andreas Loukas.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Yihe Dong, Jean-Baptiste Cordonnier, and Andreas Loukas

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:47e82fab858af7cd5505ddfe4aca3dd1a0f3922a9700335fb69a4c77a1c7052e

Observation bbd5cda5-ffe0-4317-b89e-6ecf7352a377 · outbound

This paper cites Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, and Xinchao Wang.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, and Xinchao Wang

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:65e0dd443aca82d379a11c4de59145cbcb6b2986063fe386c25f3a52c56be051

Observation b5909ff0-022b-42f5-9461-2aa9e4a5a455 · outbound

This paper cites Wenyi Fang, Hao Zhang, Ziyu Gong, Longbin Zeng, Xuhui Lu, Biao Liu, Xiaoyu Wu, Yang Zheng, Zheng Hu, and Xun Zhang.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Wenyi Fang, Hao Zhang, Ziyu Gong, Longbin Zeng, Xuhui Lu, Biao Liu, Xiaoyu Wu, Yang Zheng, Zheng Hu, and Xun Zhang

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:bde4a7ed3991f899e36a2830c4d8ae2aa14f8ae52e04649524ec34afc1c6e28e

Observation 637eff9a-8d30-4ed4-8f27-6c3c5ef7a474 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:c8abe020cf9dd773ee6af508d0bb5e1434f5114966833a251413ad7227bb0ba2

Observation e5f6afae-4d8e-494c-8406-efe7c56fc9fb · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Neural tangent kernel: Convergence and generalization in neural networks

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:6f01c3409144479e999940758928aa9bebe0a918c071bad89888fa284554e045

Observation 7a8c3368-b52a-4f36-af74-645cd9277093 · outbound

This paper cites A scalable measure of loss landscape curvature for analyzing the training dynamics of LLMs.arXiv preprint arXiv:2601.16979.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability A scalable measure of loss landscape curvature for analyzing the training dynamics of LLMs.arXiv preprint arXiv:2601.16979

Reference 15

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verified exact
arxiv_id, observed 2026-07-01T17:15:50.567437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:87f78be2b8d68e3809078cd0093db77113d15e3c1385ccfc976068d1c15468b6

Observation 305747cc-ec12-4ea7-9dc1-b0fe3a125ae2 · outbound

This paper cites Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl- Dickstein, and Jeffrey Pennington.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl- Dickstein, and Jeffrey Pennington

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:3a93ac71be8004d789ef55433f0a5f9ace71e043356b3accb9c4e709c2215aa0

Observation 8cc45693-07cf-4564-9782-df1fbf6234bb · outbound

This paper cites Jingyuan Liu, Jianlin Su, Xingcheng Yao, Zhejun Jiang, et al.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Jingyuan Liu, Jianlin Su, Xingcheng Yao, Zhejun Jiang, et al

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:5fae78666235f4089b86ab1ce50bb832af851f20a85362e29b4742e92b2a2f8d

Observation d24fd6cf-f90b-43b9-a2cb-f1ff53d49acf · outbound

This paper cites Dissecting query-key interac- tion in vision transformers.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Dissecting query-key interac- tion in vision transformers

Reference 18

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source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:952367e3739c808c6da84157cc2983da7cbfc3f7f5e718c5dba7ef28f7244563

Observation 7eadd7d1-663a-4520-b5b7-c57368b4c955 · outbound

This paper cites Haiquan Qiu and Quanming Yao.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Haiquan Qiu and Quanming Yao

Reference 19

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source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:e7404fcec75d9e8d5553ae420951a12337485caed053a4babdba803f671743ef

Observation 0249ba52-d32e-48a9-a726-302241f8c3f8 · outbound

This paper cites Le, Geoffrey E.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Le, Geoffrey E

Reference 20

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source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:74f36a12f2ffd1357ca90e374d4f83173eb228438f4770ff55253684579a3b54

Observation 3fb2244e-7999-44a6-a7c0-f701b9b7697d · outbound

This paper cites Liu, Lechao Xiao, Katie E.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Liu, Lechao Xiao, Katie E

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:92c6db2c5331e55a9229e879b2d95b7bddeaa40bf43479d66595a86868742797

Observation e1bdb9cc-1b21-4907-84a6-285dd1e300b6 · outbound

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

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability mHC: Manifold-Constrained Hyper-Connections

Reference 23

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metadata mismatch
local_arxiv, observed 2026-07-01T17:15:50.564659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:1f4ed4a14f997d699996ecc996a561cf44842dbb984527996bf57e1c0ed67b1e

Observation 1bab8657-e195-4eff-a523-fc8d490b435d · outbound

This paper cites Autoaudit: Mining accounting and time-evolving graphs.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Autoaudit: Mining accounting and time-evolving graphs

Reference 24

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arxiv_id, observed 2026-06-29T04:13:05.305323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:475d88ff3946bdcf5e9539a7883b538cc4f12ddce130629e2b1e512eed90a72e

Observation 484737a9-7297-4153-a1c2-de70a1f25233 · outbound

This paper cites GLM-130B: an open bilingual pre-trained model.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability GLM-130B: an open bilingual pre-trained model

Reference 25

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source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:355a6cd51e15db754bf5e0885690bfdb6881fd80b2667b0d086f1a480a903fa1

Observation 70dd8879-5be2-44e6-9015-75c4db57b7af · outbound

This paper cites net/pdf?id=-Aw0rrrPUF.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability net/pdf?id=-Aw0rrrPUF

Reference 26

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source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:d39128158e271f6d73f8803392f1b52b84199808f3a2d2ab13cefea17cfd8e56

Observation 3285fde6-bebc-4100-bd6d-6662480299a0 · outbound

This paper cites press/v202/zhai23a.html.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability press/v202/zhai23a.html

Reference 27

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source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:01a274d88b3bda2bc0b2398bfb7ebdff110426eb86bb2d4b0e22cd6626764d4b

Pith citing papers

Observation c4f808c6-0bcb-41a8-a2fa-709761138b94 · inbound

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse cites this paper.

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability

Reference 18

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source=pdf_text observed=2026-08-04T15:20:16.117672Z digest=sha256:ea9848c28fb234b7ffd87486d2b6b365dde53a0bbd7d9247c65cdcac495874f0