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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 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 2026-08-09T15:23:15.066738Z

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 439ca01b-96cf-4ea7-9151-188ca7cf80b5 · inbound

The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration cites this paper.

The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T15:23:15.066738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:23:15.066738Z digest=sha256:63a8a1970e3222461df2b6ef2459e66650d3fef69201077201a093007ff3ce7d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T03:24:07.851782Z digest=sha256:92520e41ef69387c985546be05db578c484dae300150f0460cf5597122e5bf41

Observation ef05a166-203b-4aa3-ac1d-2da876c58c33 · inbound

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance cites this paper.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:24.169388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:24.169388Z digest=sha256:2fc09cc10264343d5d0dbca1b2dc4cae7d3eeb8450783db71e87673372d6d59c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T16:10:32.702472Z digest=sha256:52e4b7a585ccc747efc1317b90516ef878f6948a419f8258842c163f4a0fea25

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

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective cites this paper.

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

Reference 6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T12:59:31.454155Z digest=sha256:6faf8eafd8a29a219e280eec7512a88d4985cd2cb47c63cce092bcbf0225124b

Observation 386bbf47-ff5f-4d2b-b9b2-cee0798df3c1 · inbound

On Weak-to-Strong Generalization and f-Divergence cites this paper.

On Weak-to-Strong Generalization and f-Divergence Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:45.270792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:17:45.270792Z digest=sha256:220c0666e86a2785fee29bf61f71ee83457e85b7f08b8de79d48eca305516de7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T11:13:31.161933Z digest=sha256:2c8c1fd6499db3692f4d5cb160d3038bb0ce393d5a3ffd7923fd776ba003667d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T14:59:19.883399Z digest=sha256:090dad85f6261dc1b9990707ee731a054aee6597ed503565b8521b8597cbddd2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T01:29:14.555216Z digest=sha256:7192abc8685131e7388ce3219344c114ed4172e10f70edfa91bf3446fd8d3538

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-25T06:39:16.246591Z digest=sha256:28a5828599232c631aa27c68c4ca22343316b2b337dc77070fd29c160e005d46

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T18:28:38.242594Z digest=sha256:6f5ea5288cb37ca7d100c76d19898ced82279f35776c47d2bbd9e0ceaa28f6ce

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T17:35:24.108984Z digest=sha256:807d2a1389427d0c99174687eca57c5061b9a2485602287c11ec627efb075c13

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