Paper Citation Record · LEDGER

Self-Supervised Visual Preference Alignment

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.10501.

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

pith.paper-citation-record.v1
2404.10501 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:33:05.345013Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:41:02.270927Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d8ef4bab-6bf2-4feb-ac9e-bff7cffd3016 · inbound

Continual SFT Matches Multimodal RLHF with Negative Supervision cites this paper.

Continual SFT Matches Multimodal RLHF with Negative Supervision Self-Supervised Visual Preference Alignment

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:43.414905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b280e211-3271-4720-8dba-fbaf09e18b01 · inbound

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution cites this paper.

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution Self-Supervised Visual Preference Alignment

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.482516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967b3aa1-0641-4b5c-a23c-5ae2fb657536 · inbound

Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization cites this paper.

Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization Self-Supervised Visual Preference Alignment

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T01:05:25.289337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77a7dd6-242e-4c63-b4b0-0a7c11daf615 · inbound

PerPO: Perceptual Preference Optimization via Discriminative Rewarding cites this paper.

PerPO: Perceptual Preference Optimization via Discriminative Rewarding Self-Supervised Visual Preference Alignment

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T06:01:13.461005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5782e471-7e5e-412d-8b52-4fefb243f4a1 · inbound

Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception cites this paper.

Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception Self-Supervised Visual Preference Alignment

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T05:33:05.345013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1555e19-d7ec-4741-bafd-f014c10d7c53 · inbound

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs cites this paper.

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs Self-Supervised Visual Preference Alignment

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:49.538730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1e9cbc-fa00-4d8b-821b-9d59a657ad41 · inbound

Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.

Improving Large Vision and Language Models by Learning from a Panel of Peers Self-Supervised Visual Preference Alignment

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T12:27:27.721849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ca5a5e-a8b5-4200-bf18-c538ada77016 · inbound

S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models cites this paper.

S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models Self-Supervised Visual Preference Alignment

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:02.272168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.