Paper Citation Record · LEDGER

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2605.12703.

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

pith.paper-citation-record.v1
2605.12703 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:55:50.873271Z

measured 25 of 25 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 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

25 of 25 outbound references displayed

verified exact13
verified fuzzy8
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e00dabe7-4512-4bb7-9983-54f7d60efa9c · outbound

This paper cites Cl-bench: A benchmark for context learning.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Cl-bench: A benchmark for context learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.477216Z

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.

Observation 940a004b-6b36-4823-9c16-eaa00539fe9c · outbound

This paper cites CL-bench leaderboard.https://www.clbench.com/.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence CL-bench leaderboard.https://www.clbench.com/

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.574390Z

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.

Observation 115147b6-6a04-43d2-aa6e-e7cef5472f11 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:59:27.465430Z

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.

Observation 9d2b9f35-9e88-48ed-bcb7-abeb8bdc09fa · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Long-context LLMs Struggle with Long In-context Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.471087Z

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.

Observation a953cadd-7c65-487a-ba33-653c989f3728 · outbound

This paper cites Mmlongbench: Benchmarking long-context vision-language models effectively and thoroughly.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Mmlongbench: Benchmarking long-context vision-language models effectively and thoroughly

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.460138Z

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.

Observation 5a435841-c8b9-4dfc-ad51-0309e22c2e8b · outbound

This paper cites MileBench: Benchmarking MLLMs in Long Context.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence MileBench: Benchmarking MLLMs in Long Context

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.482431Z

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.

Observation e8012ecd-0b3e-48e4-a85b-587e8896339c · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Flamingo: a visual language model for few-shot learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.591397Z

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.

Observation 352b51bc-8eb7-447d-a147-9b4e415cfae9 · outbound

This paper cites VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.481171Z

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.

Observation 590339c4-5ad7-4e7c-a458-0c99529196e7 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.580399Z

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.

Observation 04e23971-e7e0-45ed-9158-43abe108f9de · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:59:27.463094Z

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.

Observation c1bae3e1-9449-4d3c-b57c-b9090ac68e72 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.584386Z

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.

Observation 07ead220-755a-47e8-aaf1-476cffe1c0ce · outbound

This paper cites Towards vqa models that can read.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Towards vqa models that can read

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.578420Z

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.

Observation 45c7f5f1-275a-4eef-b1fe-bbc3fcc6dc77 · outbound

This paper cites an unresolved cited work.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-15T13:10:50.595893Z

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.

Observation bf2118fd-ef09-4835-90c9-4a3241c6649f · outbound

This paper cites Ocr-vqa: Visual question answering by reading text in images.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Ocr-vqa: Visual question answering by reading text in images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.582374Z

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.

Observation 577c9b37-88e4-4c83-8c6d-81925e24e634 · outbound

This paper cites an unresolved cited work.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-15T13:10:50.586507Z

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.

Observation 41c0385d-8aa9-4cb3-acf9-8acb821913a6 · outbound

This paper cites Hierarchical multimodal transformers for multi-page docvqa.Pattern Recognition.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Hierarchical multimodal transformers for multi-page docvqa.Pattern Recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.589116Z

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.

Observation f4c58843-b0c7-4c18-8b48-f342b0e582cb · outbound

This paper cites an unresolved cited work.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-15T13:10:50.593740Z

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.

Observation 204b37e4-2144-475f-bbda-eff516f96a6c · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:10:50.576322Z

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.

Observation 44f91405-ceb0-4645-87cc-a4fa844a4657 · outbound

This paper cites What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.435741Z

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.

Observation 9a18e8bc-75b3-4e66-a435-f3097e4faf73 · outbound

This paper cites MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.443071Z

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.

Observation e0494347-3837-40a3-95e8-2e0c2420a272 · outbound

This paper cites Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.451890Z

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.

Observation 817684a6-0b8d-479f-87ec-5c2447b7bdfe · outbound

This paper cites Mt-video-bench: A holistic video understanding benchmark for evaluating multimodal llms in multi-turn dialogues.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Mt-video-bench: A holistic video understanding benchmark for evaluating multimodal llms in multi-turn dialogues

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.488076Z

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.

Observation e609a570-1da9-4af5-ba00-a91498e7fc37 · outbound

This paper cites MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.475069Z

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.

Observation 9b796f75-f6d0-4afc-9c6d-3828fb8f5f0c · outbound

This paper cites VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.468715Z

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.

Observation 35dda440-56d5-47d0-a120-ec6a11098604 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T20:59:27.457543Z

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.

Pith citing papers

No inbound Pith citation observations are available.