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Paper Citation Record · LEDGER

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2505.18346.

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

pith.paper-citation-record.v1
2505.18346 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:56.463055Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T14:59:19.883399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:36:08.612584Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact2
  • verified fuzzy10
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 333690de-6f45-4442-ba0b-3dd0a1646d8b · outbound

This paper cites The solutions are given by ( λ− s , λ+ s ) from (12).

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective The solutions are given by ( λ− s , λ+ s ) from (12)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.796379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:56.132667Z digest=sha256:313c28d4555f85ff61df4f57836760c39a4155a99b7bc9c1dd5912ef145b0caa

Observation e9d5db6d-9baf-4abe-9553-ce2d25254eb1 · outbound

This paper cites Similarly, for the remaining terms, we have d−1 X Tr h ˆR ˜R i →P mt,1ms,1 d−1 X Tr h ˆR ˜R2 i →P mt,1ms,2, and d−1 X Tr h ˆR2 ˜R i →P mt,2ms,1.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Similarly, for the remaining terms, we have d−1 X Tr h ˆR ˜R i →P mt,1ms,1 d−1 X Tr h ˆR ˜R2 i →P mt,1ms,2, and d−1 X Tr h ˆR2 ˜R i →P mt,2ms,1

Reference 2

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raw_fallback, observed 2026-08-07T14:40:57.931921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:56.064795Z digest=sha256:1fdb494852430f3442dab4c25710967985afb72e60bf49415aac2ee592a6cb39

Observation 538f54cd-b6d1-4db0-a809-544ffa8652d4 · outbound

This paper cites How Two-Layer Neural Networks Learn, One (Giant) Step at a Time.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective How Two-Layer Neural Networks Learn, One (Giant) Step at a Time

Reference 3

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no resolver link, observed 2026-08-07T14:40:54.621375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:54.621375Z digest=sha256:86f762040d607010d6fde76dffaed1784250e3abcb08cda4f9db072d8e8e0efc

Observation 08c48c37-5b88-4c8d-98a7-16321ab2282e · outbound

This paper cites Random features outperform linear models: Effect of strong input-label correlation in spiked covariance data.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Random features outperform linear models: Effect of strong input-label correlation in spiked covariance data

Reference 4

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verified exact
raw_fallback, observed 2026-08-07T14:40:57.032442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:54.738784Z digest=sha256:852b52203388dad61becb75d2773d1e6da371532564197689fae1bedf796a30b

Observation 4a313f6c-b36f-4958-b9ec-ef366c2f2e42 · outbound

This paper cites Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 6

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no resolver link, observed 2026-08-07T14:40:54.963411Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:54.963411Z digest=sha256:08bf8f7f79fd1d53b9e3e22e7b95606bb38305d58a132fe162c6b98ef3a1034f

Observation a2a703d3-f5a5-40e9-b767-b0ff9f9811ea · outbound

This paper cites Generalization for Least Squares Regression With Simple Spiked Covariances.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Generalization for Least Squares Regression With Simple Spiked Covariances

Reference 7

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verified exact
local_arxiv, observed 2026-08-07T14:40:56.816879Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:55.068699Z digest=sha256:e9800d4b6cffe4123bcf3abfff557b2450006ebd30e19bd62145fede6a6e46a4

Observation 0cc8084a-71fb-417b-b5c3-3d9b6df60b16 · outbound

This paper cites Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:55.168928Z digest=sha256:c2afe6a1275d38be30f51e284c5068a26008484c471f876d355cfc40f83d79f8

Observation 10681d7c-7428-487c-8ee3-b45b04344f85 · outbound

This paper cites Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models

Reference 10

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no resolver link, observed 2026-08-07T14:40:55.339442Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:55.339442Z digest=sha256:d4e4be1ad53fb91adcd24e8cbff6b7b92a1014210a87a5a13b0a2ee3f69876ca

Observation 037fabfc-e9d2-45b8-95ff-5c80e8c68bb4 · outbound

This paper cites Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Reference 11

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no resolver link, observed 2026-08-07T14:40:55.435466Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:55.435466Z digest=sha256:f2540e040a3f2d7aa134e5725348a4efe65b2ec24296180872df419b34c0ad33

Observation e2aadcf7-71f6-415d-9c1a-26983c8a8cc6 · outbound

This paper cites Weak-to-strong reasoning.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Weak-to-strong reasoning

Reference 15

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raw_fallback, observed 2026-08-07T14:40:58.409609Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:55.803095Z digest=sha256:2f91efb448c86cf00a94528fd6aa6db9b2a6bddd10795094f218105c862c544d

Observation 495ea2c1-ada0-471c-8ad2-ef2134e56a6e · outbound

This paper cites Note that using [Abramowitz and Stegun, 1968, Equation 22.8.8] we have d dx Hk(x) = kHk−1(x).

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Note that using [Abramowitz and Stegun, 1968, Equation 22.8.8] we have d dx Hk(x) = kHk−1(x)

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.101769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:55.985179Z digest=sha256:b71cbef9d653cbd2f059f0416073d43e68a0125b924d226ea45e884974925044

Observation 422a0fff-1a7a-406b-9ca9-e43c251b90f8 · outbound

This paper cites Figure 7: The test error of the student model Ls as a function of γt for σε = 1, γs = 0.1, λt → 0 (ridgeless), and different values of λs.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Figure 7: The test error of the student model Ls as a function of γt for σε = 1, γs = 0.1, λt → 0 (ridgeless), and different values of λs

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.646621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:56.225364Z digest=sha256:c14363c0b9d06a4cc01c4963d1448bb5d70c887de3f18ebb136889765426500c

Observation 03b09c06-50e3-404d-a5cb-cecd02530c0c · outbound

This paper cites From the definition of ms,1 and ms,2 and using the Marchenko-Pastur theorem, we have ˆβ⊤ ˜R2 ˆβ →P ms,2, and also ˆβ⊤ ˜R ˆβ →P ms,1.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective From the definition of ms,1 and ms,2 and using the Marchenko-Pastur theorem, we have ˆβ⊤ ˜R2 ˆβ →P ms,2, and also ˆβ⊤ ˜R ˆβ →P ms,1

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.532658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:56.328979Z digest=sha256:8d13fb16bde2d95c2bcc9488f91334116a3a4778e6cf59959470e25562ce0eed

Observation 660177bc-2ddb-40e7-a743-32220a1ac507 · outbound

This paper cites Thus, using [Vershynin, 2012, Theorem 5.44], we have ∥σ′ ⊥(Wt,0X⊤)∥op = O(√nt).

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Thus, using [Vershynin, 2012, Theorem 5.44], we have ∥σ′ ⊥(Wt,0X⊤)∥op = O(√nt)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.396618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:56.403324Z digest=sha256:0595d2e5ebcafa272aebff6c7386e2447db1e6dbc3cdeb594c77cf5da18f9e61

Observation e3a675ae-fcc1-4f1a-a1e8-d9aac4719271 · outbound

This paper cites as ˜y⊤ ⊙.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective as ˜y⊤ ⊙

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.219194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:56.463055Z digest=sha256:66371ec46c48e40e61bf39756d02bac07d3380d7068255cab0e3c36faaeaf5e1

Observation 182e48f3-90e5-40f8-a817-1c56a5bfda8b · outbound

This paper cites Weak-to-strong generalization even in random feature networks, provably.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Weak-to-strong generalization even in random feature networks, provably

Reference 1967

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no resolver link, observed 2026-08-07T14:40:55.271241Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:55.271241Z digest=sha256:d1605ba283e124fac7c6405cae689141b6733d92485e70a11fa26fd5a85e1bbb

Observation d3fbe4de-8e87-4987-a2c3-032f43e07d2f · outbound

This paper cites Spectral Evolution and Invariance in Linear-width Neural Networks.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Spectral Evolution and Invariance in Linear-width Neural Networks

Reference 1991

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source=pdf_text observed=2026-08-07T14:40:55.616708Z digest=sha256:e149a00af3ee469f15104be9bb53408a6adb8686c74d8d9a8027d02c71d66999

Observation a63defbb-cd75-47a1-86c7-04e70527475e · outbound

This paper cites Theorem 13 (Hanson-Wright Inequality [Hanson and Wright, 1971]).

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Theorem 13 (Hanson-Wright Inequality [Hanson and Wright, 1971])

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.259134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:55.896893Z digest=sha256:0997b88cca9c83515ece1f999cfa69aca5350949870bdcdb7faf41fef3e235c0

Observation e5138138-272d-42a8-9ee3-d38fda765cf0 · outbound

This paper cites Your Weak LLM is Secretly a Strong Teacher for Alignment.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Your Weak LLM is Secretly a Strong Teacher for Alignment

Reference 2021

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no resolver link, observed 2026-08-07T14:40:55.530030Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:55.530030Z digest=sha256:e9e540ba33269fff72a52d82ae00a0e7f2019b6d0ea7418db9c4a10bd4302a82

Observation 4e9c488e-7aa2-42bc-8296-4e2c79d88e9b · outbound

This paper cites Provable weak-to-strong generalization via benign overfitting.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Provable weak-to-strong generalization via benign overfitting

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.531816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:40:55.700634Z digest=sha256:bc6d4797c76acbecea05cdf6f9e8d3594194c3dda6aedb1c504c47c52d2867e8

Observation 77158d68-8908-4806-9133-922debe71e6c · outbound

This paper cites Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions

Reference 2023

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no resolver link, observed 2026-08-07T14:40:54.390971Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:54.390971Z digest=sha256:506483f8120f783e3913054fe7543e97c71251a490299d0084f03d0f5921f65f

Observation 6d8fb6e3-3200-4866-9368-9579d5bde8f9 · outbound

This paper cites Risk and cross validation in ridge regression with correlated samples.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Risk and cross validation in ridge regression with correlated samples

Reference 2024

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no resolver link, observed 2026-08-07T14:40:54.491180Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:54.491180Z digest=sha256:8f886b3d1df193848a9c8ad5f85234be9607ffa24e00f589e3cce0a1f5d11ed3

Observation 7916e744-e64b-422a-8ac5-db39bfb1ee7e · outbound

This paper cites Spectral Phase Transitions in Non-Linear Wigner Spiked Models.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Spectral Phase Transitions in Non-Linear Wigner Spiked Models

Reference 2025

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no resolver link, observed 2026-08-07T14:40:54.844353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:54.844353Z digest=sha256:3744389911c5f1d75c8eb7a8d9526f6eaf5bf7b088db0ab342f193b1a8bfd2ff

Pith citing papers

Observation 7413a1d5-e0fb-41a4-8b18-78d66d577252 · inbound

On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.

On the Blessing of Pre-training in Weak-to-Strong Generalization On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective

Reference 34

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arxiv_id, observed 2026-05-11T18:36:08.614558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T14:59:19.883399Z digest=sha256:c9485b448fac3dc7ffca72556460319306569c35f07f7d3ef533a001d4e823e1