Paper Citation Record · LEDGER

Enhancing Large Vision Language Models with Self-Training on Image Comprehension

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.19716.

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

pith.paper-citation-record.v1
2405.19716 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:49.630859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:16:17.335201Z

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 e12dacc8-5135-483f-8c39-1f1d296ec90a · inbound

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:16:17.338130Z

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.

Observation 4804e32d-f8d1-4a57-8c3b-cc8bf78a6926 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 195

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.282094Z

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.

Observation 48b37064-ba22-409f-85f0-ff66020fbc2d · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:18:53.732788Z

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.

Observation 40649a4a-21ce-4624-8dde-4a990aab741a · inbound

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

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:49.630859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b546750-8f74-4020-b4b0-484e32544102 · inbound

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought cites this paper.

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:36.169281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f011d6d3-4fcb-48eb-8931-1cdf418b6bb7 · 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 Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T12:27:27.323258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.