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Paper Citation Record · LEDGER

MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.17637.

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

pith.paper-citation-record.v1
2410.17637 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:28.862738Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:41.342798Z

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 ffad5277-4cbb-439d-93e3-15afeea37a98 · inbound

Visual-RFT: Visual Reinforcement Fine-Tuning cites this paper.

Visual-RFT: Visual Reinforcement Fine-Tuning MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:16:16.580689Z

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=2026-05-13T22:16:16.528682Z digest=sha256:6edaa17485c4ce20bb35e3f9b4a13cb3177acc5c7e3f5bad02b9d676ac1917c3

Observation 15e7b348-2b4a-49ad-843b-126a7805723d · inbound

Visual Agentic Reinforcement Fine-Tuning cites this paper.

Visual Agentic Reinforcement Fine-Tuning MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:28.862738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:28.862738Z digest=sha256:34fbbec58fabc55ce4b3352c59a392b5d00653bfb396bc67b55b0ebc2eac79d0

Observation f1fe44d6-e2ed-434f-a21f-4265d75d4059 · inbound

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

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T10:28:50.117579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:50.117579Z digest=sha256:f5b107f0bf389e677b96e4e6a5243521a6de4a9088d3c56fe799a0af75faedaa

Observation 3c2f3221-f1e7-430f-944c-e84b43f3a234 · inbound

CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale cites this paper.

CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T18:55:17.663362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:55:17.663362Z digest=sha256:6ccaee7cc6c377fac641fa6b078915904e75000fba92589e20411165a7d9b1d6

Observation e3a47759-cbbf-481c-9fc2-5caf78248ef9 · inbound

FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation cites this paper.

FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T20:06:47.910068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:06:47.910068Z digest=sha256:139f497d7dda9658aee35cbb1d9b0c0bd692bbb5a452eea22c40abe5ecb931b2

Observation e3875c77-3c3a-44ae-8604-205952099c09 · inbound

Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision cites this paper.

Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T13:45:02.830993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:45:02.830993Z digest=sha256:175c07313674ec9afec5e462fc9244b03a50c866e6eed66c51de1ff38fbcaaab

Observation 02ee0ce6-5993-405e-bcfd-fde31eb149ef · inbound

HP-Edit: A Human-Preference Post-Training Framework for Image Editing cites this paper.

HP-Edit: A Human-Preference Post-Training Framework for Image Editing MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:29:22.011094Z

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=2026-05-10T03:26:15.525307Z digest=sha256:a4a88274676bc1e7622b1d9a6770996c207841b6086e3862f41b9a911f042122

Observation 6285f471-aa42-4e49-a2b4-5d53a01ea7f4 · inbound

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs cites this paper.

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T22:49:16.410150Z

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=2026-05-09T22:11:40.905814Z digest=sha256:73d59be1dd8da01dd317d253dd78d70eb1ead3e70dc419d8358f5b56a8252f90

Observation c0610309-50da-4aac-be14-ce58281fbeda · inbound

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models cites this paper.

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:09.447920Z

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=2026-05-08T17:00:36.574362Z digest=sha256:0e0b142ad9ce610c9971f3e2ef1c9687fbe1b0701fbddc8038bb79c07e70b6ce

Observation 5c62768a-e07d-497b-9b13-45b26fc748ee · inbound

Advancing Creative Physical Intelligence in Large Multimodal Models cites this paper.

Advancing Creative Physical Intelligence in Large Multimodal Models MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:02.909596Z

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=2026-06-29T21:09:37.228058Z digest=sha256:1f3d9c647c1adbaec84091e14ef670af0e7ed0c9c6b8c85dd7de39b24b5278d2

Observation 0b90394e-7bdf-49b5-bfef-b27a40710e1e · inbound

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs cites this paper.

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.344116Z

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=2026-07-01T05:35:08.200219Z digest=sha256:6634baf111847840362005e07a053d654a4290f14e75e0926d599902ee539e21