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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:53:55.411422Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T09:16:17.150383Z digest=sha256:8b7b0672e667aeda7439ee87b4001638be083adde49d1de459b4bf3f8a1930ce

Observation ae0218db-15bf-4b01-adad-43bb1459ae41 · inbound

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs cites this paper.

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T11:53:55.411422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:53:55.411422Z digest=sha256:1cfd3127fbccf831c8fd3c00996cdf70aee2d4474e0cc3166efdcea43f1f78aa

Observation 4e9e6881-5c33-47a4-a3e5-a5bca2adc5e3 · inbound

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization cites this paper.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T11:06:14.431512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:06:14.431512Z digest=sha256:2ba4f83058fa86f1148108ff8727929237e3d7e4700863ec506c351b0dcb5cb0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:7faea8c3a2510dfafdd29ed3bc7aae4479175df4aeb6f2cd83f7d49d4aca7001

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T17:18:52.996467Z digest=sha256:c85a34003dd32a88d4266503dd60c0b62160301b64d24bf2ca2bea85aa1c4f1f

Observation bb7b27b4-f7fc-4012-b787-d561deeb4668 · inbound

LPOI: Listwise Preference Optimization for Vision Language Models cites this paper.

LPOI: Listwise Preference Optimization for Vision Language Models Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:54.210668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:45:54.210668Z digest=sha256:755c6b6d11a7b689b3a38134fe59724f47871727b86a2f85e19237a426ae6ec2

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.

source=pdf_text observed=2026-08-07T10:28:49.630859Z digest=sha256:10cb9541711154b8e4560efe68e704b60175c4fbb0ea7366a46a01974fadb888

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.

source=pdf_text observed=2026-08-06T21:19:36.169281Z digest=sha256:e65857e7568a80297c0cd74b6f4b6fdf89a4931da726094bd67d63c7631bba26

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.

source=pdf_text observed=2026-08-05T12:27:27.323258Z digest=sha256:b58b47b358cb194a2ac928ad50a08e6674f66a635bb738d1abd468914fb40c7d