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Paper Citation Record · LEDGER

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.04688.

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

pith.paper-citation-record.v1
2506.04688 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:39:59.426840Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0566c4b8-1816-4032-b6ad-c28fd953b60c · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:39:59.802813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T10:39:58.705749Z digest=sha256:f2f85ad252930ac5a3b4adc16faaeb5b958b78ec854cd2c2a7ab64cc5fb0a01c

Observation b7595536-52bf-486f-bf10-c864fe0bd5d9 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:58.840146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:58.840146Z digest=sha256:132060f74ced868ef5b2722c0bdbf6f51f6d92a44048d412bfb4508af31bf4d2

Observation 36c70139-276b-4b7b-bcd8-3667a0d485e5 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.008707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.008707Z digest=sha256:632eaf2a6ce040decbee0b92fb0790fc4f207bc0c3cc7b55bb198b282f98a74f

Observation 3ec30863-86e5-430b-a6f5-ee56bb384d04 · outbound

This paper cites MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.183533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.183533Z digest=sha256:241c2ea22e506587cd74b9f889f899948664ad20d52835c2ea94b60a7ab43d1a

Observation 7ee1e30a-59ff-4d59-99d6-99b8c3950624 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:39:59.792647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.299866Z digest=sha256:4ba8297abee243c8f445dca2624bfc72de30a150d10ff68a87c209bba1877101

Observation 1cb22935-084a-44c7-b42d-1130e4ed10f8 · outbound

This paper cites The Llama 3 Herd of Models.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.346990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.346990Z digest=sha256:305a5aabbeb2f652591b5fd127ab2df9fa5ac840788540d37889d69c724cc9a5

Observation 6a7c17ea-0137-4523-9956-f6b96e45528f · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:39:59.783114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.354317Z digest=sha256:856ba9adb8a2b4e227d517510f07ae060913f499489402fe5abd78fc2d8f2209

Observation b5ecefb5-d933-4460-89d6-715a373507ca · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:39:59.773043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.356946Z digest=sha256:f77a74b3bd37f104895118e892220c800243ef3ac9ae650bbf6b52ffc6388c3b

Observation 4624f955-5582-4ffb-b306-b55c84c3d178 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.359906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.359906Z digest=sha256:92d60fc27017489f87c8e11adfea4956b79e73b2ad9636d22c09b32dce4b796b

Observation 87d8f6b7-f8f1-4ce8-a635-0a349d283332 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:39:59.762530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.362907Z digest=sha256:265cf5ba7d8a3bb0cadc1251a2c6e3b991fee37750140f655bcca561cf8e6659

Observation aed3d332-e6c6-48db-ada5-00735aa93d45 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:39:59.752148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.365409Z digest=sha256:d74426953b5db447ce6c1fe2493f29945fc9bbe9b51d214ffb9995124a8e409f

Observation aff2a917-cb6f-4483-8a56-fa74aac92e4c · outbound

This paper cites Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.368480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.368480Z digest=sha256:f292579ea6e8355d2ce491934de2b536573fd57b0f531e26b9a82167b6586f70

Observation 792f58f7-51d6-4fe9-97d8-22acd50d1b37 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.371204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.371204Z digest=sha256:823de2dc75d8bad2869c1cec5712b2311ad291a5bea432083cb1ff0e5559be20

Observation 98bb1866-da1c-4451-b7c4-a194d09875ae · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.374378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.374378Z digest=sha256:3330d0941cb5cf821b6e9d421be5617fa8df933c36eaba92afec48ec3edf641b

Observation 2691dff3-3d0b-45ab-aec0-4dd79e8559c2 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.376970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.376970Z digest=sha256:05148fb1e8e9146541e33a3dde09b9157e2144d3b564b03051db34818ad6181c

Observation 456d9fdf-03d5-4ac6-a4e9-445aeaf4ef5d · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.379197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.379197Z digest=sha256:992f7f0292b82773e000d92d99d3cae0f142377277585a26988deb6e450b3643

Observation d7f6442b-3c80-40a6-9c9a-ed7559b1902d · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.381529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.381529Z digest=sha256:fa13da5fadc8e8f79cdec86c7fc027b2310fbcb394673b838b80d8a68c75e877

Observation 019e3bab-043c-4f78-9041-3a8ad053a3a5 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.383856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.383856Z digest=sha256:0a766a282e82a4f53a4ba7c6d72c1b3cb14528e80984f583e8f4abe7b9879fbb

Observation ee67e184-840e-49af-a132-6f4c0ef46e7c · outbound

This paper cites Can Vision-Language Models Evaluate Handwritten Math?.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Can Vision-Language Models Evaluate Handwritten Math?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.386175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.386175Z digest=sha256:7b4588e52a447b7755490744fcf891edf5bca2cba373a76be4149d55d29052bd

Observation 3036b33f-3db2-46e8-8033-1ba66ad95319 · outbound

This paper cites GPT-4o System Card.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models GPT-4o System Card

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.388994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.388994Z digest=sha256:c7788ef4f7065533342af83ac1848df932b8c54a660130d9efbcd9743b059c57

Observation 54ae3532-3d86-49d2-a914-503bf473c878 · outbound

This paper cites OpenAI o1 System Card.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models OpenAI o1 System Card

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.391924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.391924Z digest=sha256:8cfcaa3e9792ebd024d257a9f301f212428414edb00fb9c256ec502fed75213b

Observation 90d58854-2b24-40f1-ae97-a506d234910d · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.394927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.394927Z digest=sha256:7910a33e53f871f650a199edac14a67a066d12c2db16aa95efc0d1bccb335d8b

Observation 7b3f81d1-b690-465d-9c60-7f577760c189 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.397621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.397621Z digest=sha256:9c1f3011b0ba6b138306ea9011e4953b2ba2cae659ab1dbd7b2b79d51374749f

Observation cff06f26-3dc1-4d6f-98c8-117cedb369b3 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:39:59.718479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.400758Z digest=sha256:2d5f2d04247146661a9bc10d31fe10d4d8627fc17cebfc9f1c87f19604d093b5

Observation d7668185-ff6c-44c5-b4a3-0bdf6860cc4d · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.403142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.403142Z digest=sha256:460308ce3e897a0249dedf185a68685ab924cf17fc9ddfe7d2fc0b76b15f300c

Observation b9926470-386d-4ba4-9230-85aa4286e314 · outbound

This paper cites VisualPRM: An Effective Process Reward Model for Multimodal Reasoning.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models VisualPRM: An Effective Process Reward Model for Multimodal Reasoning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.406354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.406354Z digest=sha256:4ed969480f070ac8ed3a9f0293fdc45d2a2746db21f80452eab595d589eee8f7

Observation 0c264697-1462-47e0-87c0-d8cf6edb0370 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.409501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.409501Z digest=sha256:f90ef799f5217797dc2475cf88e7d16a93ec1e2abd2c09a4b9a49a1aaecf7818

Observation a43603fd-a2b5-49e8-a1eb-5e56b51e8161 · outbound

This paper cites VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.412070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.412070Z digest=sha256:acb1da8d2160d232b056bafc3c2646b113ce6f98c1bd3fc5a131342deee96f61

Observation 8ffce526-ce49-4519-9858-9056ea838602 · outbound

This paper cites ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.415150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.415150Z digest=sha256:8e55c6200d1852ec30a242f0b2681b3676e9d4aad9ebbeda952a7916d358a440

Observation 0954581b-6db9-473a-ba2c-1186436565dc · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.418050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.418050Z digest=sha256:108cd01128838a508bc73ced0bbb701422e55d6b70a771c61e3a1ff087a6fe18

Observation e9049cc5-1f06-46b4-b637-740cd416f239 · outbound

This paper cites an unresolved cited work.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.420924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.420924Z digest=sha256:95b3f2daab0452fd49bda108aa6e58693ffd90ad6c074710408e7c170f499c8b

Observation 7414bf3a-c405-43eb-b842-536020bd9993 · outbound

This paper cites online" 'onlinestring :=.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models online" 'onlinestring :=

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.423559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.423559Z digest=sha256:3358d596e7cb5a84e2468ef157045a788a471c1503815f0d4767d636ca0aea79

Observation 1fe4c963-051d-4565-965b-4b369c9f8365 · outbound

This paper cites write newline.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models write newline

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T10:39:59.426840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.426840Z digest=sha256:b1cdbbcb03042c32f5cb3ccfe3786d926de26795fd49dab12de83c1b3700cf3f

Pith citing papers

No inbound Pith citation observations are available.