Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:39:58.705749Z digest=sha256:1436b23b713727eb757b1d7e6e14c939aa476ea872ac2f594dc7f63f9333d43f

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=sha256:36867be1b1be435e24193f58cc297c381cfabb1d9383ed0d02f2eb101209c451

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=sha256:6487b8ad9a4de89169d97cea92ddedff2482902a00b554ec1ab999d1cccc7782

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:db788c6cde00be349c91b16a52f921b7d7db8bdd8df964ffc5727b0492737e81

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.299866Z digest=sha256:4a99c1f0e9b070ae0f8b19ec2b3df968e739bfc5403ea9e372728ffa0c24893f

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:ee5e10d3c7289cb29727fce94cccfaec96bd57beae0cf2529a00312beb10edc2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.354317Z digest=sha256:44c2b8927bd54fda209668a9abbaa964970473d704f596d452a08f876ee36e42

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.356946Z digest=sha256:1abaf43c71641e9d9b5d132b663b65456a08c83a3ea1cdc63a87ab526c9db7a9

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=sha256:6397f2633d9328443beff13eef8aa4ef258317c21f22cd16374b5e2a95b7047c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.362907Z digest=sha256:d7ddc291fb4fc99bc82520e41695bd53b2a9f133e0b25b9719bfa1793b5996b1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.365409Z digest=sha256:07e9e27ec64cea07da9aeb64d8b7144b8619d5878b4efc0571342848c725f755

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=sha256:96cabccd7af248dc30e61d63cc668ab6b8325a971f190a27a646b8c544bcd6bb

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=sha256:2f018b6d9945435fdce3dbef3aae76682197d81995e92474d275748e51c44b2b

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=sha256:2cfaea2fe0429faa10aeb9d16159aadee91a52b64fb7e2c4f68bbd22169726c8

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:fb9055cc5861f1d7499e89d80e57d86865682210336b07a0c8a9879214329298

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:b97131b25a6f4db5fd10293238da66b2271aa28bc00dea1e4df1a984492876e0

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=sha256:6ba0556cb400761ca8963046f4a5dd939caeaf0c702c61a3ca95bef70e371677

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:b96201dabd2a167d0e749adf8dcacad7362074d0288781aacffced2ac4a36954

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:fca368a33662dea709e952b358d7dfbb5b064eb45c8abfa427c85df990ca537f

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:ea867321adac8d09925980b3b1ce1f07bb378e2ea769b73ab37e6697f5919fb9

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:b0a42b6410b44e6c6be4f7ac34e3c409e6af4d4ccf386fae1c1a5b2e2efbfb0f

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=sha256:0f4c90972b4d0049e99448067ae4579a7c17d61ea3366caf138dcd7fa00160d8

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=sha256:11b38970f03a9f57d1337e70bb70ec8ec6a446bf6a5ded3535e4dcae8f2b535c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:39:59.400758Z digest=sha256:a054bf83e91a996620daa381c303deaeb441125ac59320f173462b0b23a028fc

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=sha256:4476e5e045e4f11a4516d5ee56eea9c1513be1dd0c5f47bf4afc54b7b05d3b70

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:f96861d990aed9146e620ff06d7ca28909e4e333dbc61c8dfcb8e6ba236871ba

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=sha256:0605fb0646fc8c0f68a9507f6a8c091fa808bd871f5b596c617817ada1e6e8ab

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:e0abce0cc5d484be2a977e83a5cc437fb872f58b2d926dc9fabf40d657c3590d

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=sha256:35007b5531ec82af7d8fb02f715840433f75db4ae9977b4a36f53221b80a0b39

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:aed087667217cb4bea9f253e6fbbb553d5f03dc91b9f31acec229229b7f38125

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=sha256:6f3d7a7ab35a35b4c60e7e2b42adc699747b2359d500d24d93228907df1fe34a

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:e68e4c9e09344db8528ad54cf1f1ae3bf36bb301f770a6ae7c476ded5995f804

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=sha256:2d75e830ce8098000012bbe295a386ef127fba1dd517dedc88ad4b4761ac5c90

Pith citing papers

No inbound Pith citation observations are available.