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Paper Citation Record · LEDGER

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.03749.

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

pith.paper-citation-record.v1
2402.03749 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:26:02.585892Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation db3ee193-2f71-4046-8c95-45d77c448925 · inbound

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension cites this paper.

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:25:20.560494Z

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=2026-05-23T03:24:07.851782Z digest=sha256:14ae5103110040e81e8e2a6a5b21ce87f506b53c12393a77b71b63033df4de15

Observation 32bf5226-e9a9-491b-90b5-0aef3f0f5b48 · inbound

Generalizable Video Quality Assessment via Weak-to-Strong Learning cites this paper.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:11:45.684600Z

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=2026-05-22T16:10:32.702472Z digest=sha256:253fd301fe427332f7ae74ae0ed15545750fc66228ba2e38f4a7c34b9f4519c7

Observation f4be05f2-91a0-47aa-a701-dbbc5aacaa0e · inbound

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model cites this paper.

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:02:18.350710Z

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=2026-05-19T12:59:31.454155Z digest=sha256:3ece601148efbf7f53b3edcd15cc9c56f02802b3da03a0667ad76e6ab5c29de8

Observation da1a99f3-e4a9-4323-9f50-7559d2f81538 · inbound

Weak-to-Strong Knowledge Distillation Accelerates Visual Learning cites this paper.

Weak-to-Strong Knowledge Distillation Accelerates Visual Learning Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:15:10.291037Z

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=2026-05-10T11:13:31.161933Z digest=sha256:d1b9877f60f7d0714c6346d1dc1f94144a886cda0462356fbd987e5082d2b6be

Observation 74017747-f828-4dca-bced-ef3d820417d8 · 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 Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:08.713493Z

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=arxiv_source observed=2026-05-08T14:59:19.883399Z digest=sha256:3f6f2d394030e6848a01812494b2b7d9f8fd81dfebf1e465bf240e1eb4f997da

Observation 6e397508-e793-4e72-b1ae-72eba5e2599e · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 262

Resolution
verified exact
arxiv_id, observed 2026-05-20T01:32:56.162834Z

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=arxiv_source observed=2026-05-20T01:29:14.555216Z digest=sha256:bc7b0ae62993df8787801ad2a07e28a2891ad9ac9b1c674cecc4ecccf69a2f6f

Observation 33d464ec-157d-40ff-a533-7fa484023910 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 262

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:24.882823Z

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=arxiv_source observed=2026-05-25T06:39:16.246591Z digest=sha256:08213228c713b386f8b93c2644e6d4d931f3b04346c6ce8298a1ae8e055364ef

Observation 7b894b54-ef7d-4488-aa4e-4e5f21b825e8 · inbound

Gradient Transformer: Learning to Generate Updates for LLMs cites this paper.

Gradient Transformer: Learning to Generate Updates for LLMs Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:33:50.602365Z

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=2026-06-29T18:28:38.242594Z digest=sha256:08a4e26acdb4418d37d478a6447e5417f09ce54bebbb0e15a61e43e5f134335f

Observation 24dcb23f-60b9-4109-ad5a-af9d80e0675a · inbound

Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher cites this paper.

Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:42:24.956647Z

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=arxiv_source observed=2026-06-28T17:35:24.108984Z digest=sha256:898961f12ccf5f26a30ac26c1d83e7dc61be25f5ed232bffc43387224b3de909

Observation 3d2f7419-0072-4393-a4bc-00ea2973fa2f · inbound

Weak-to-Strong Learning in Decision Making cites this paper.

Weak-to-Strong Learning in Decision Making Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T15:26:02.585892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:26:02.585892Z digest=sha256:04095290a51b70e2062aefae6409e5d45b40f80a89d5adef9a411dde4ba08f91