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Paper Citation Record · LEDGER

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.11193.

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

pith.paper-citation-record.v1
2406.11193 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:32.944514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:13:24.851981Z

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 ec757e1c-078f-417a-9525-dc588045b480 · inbound

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:13:24.854814Z

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=2026-05-23T20:10:59.264484Z digest=sha256:37789cd265445c5afe0fda82ad9770ec162d41da555456fc49efeefe7e1348b2

Observation 98665609-4877-49f6-9baf-5a61320acb0f · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.033827Z

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=2026-05-23T04:30:38.804702Z digest=sha256:7c7b775f18369d7354646b8ec9f13f442115e7ed9d72ca2681b40ae84c438262

Observation 55474c97-f73c-4e18-9233-3692887f7d84 · inbound

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring cites this paper.

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:32.944514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:32.944514Z digest=sha256:b0e6926d6cf90a4af410c50bc973e30cc46ea65195ed0ef4927390ab12471376

Observation 6ac99bcf-47fe-48fb-afea-630648d13079 · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:17.150962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:39:17.150962Z digest=sha256:852db1aa476c2c09cfd67e6b29442b15fcda9a96fe979f8c10ccec095f3d3a95

Observation 31f9d87e-d882-4a80-ba01-56ad74eef97c · inbound

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:20.968904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:20.968904Z digest=sha256:a826909a920f2bd24a5e175f581f4babb82af9cce1e241685f1e9c4e7c94cf5b

Observation b80ee75d-47df-4ed5-b0bd-29e4725c57f1 · inbound

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning cites this paper.

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T00:59:51.923731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:59:51.923731Z digest=sha256:c5f3f694c4cd98845f0a01df8deb7b01b5e6bf61c81deac8faa5b44cf9954ec5

Observation 7f8c22c8-3c40-4aa4-aa10-db526f47e39f · inbound

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models cites this paper.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T20:02:29.354181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:02:29.354181Z digest=sha256:c2eddbeaa4b846565dc6e4bb9341e9d612ccca6e4aa5cee4b5a7eef94b69a8a7

Observation dd759411-031f-4498-8160-aa9662391f01 · inbound

V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models cites this paper.

V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:21:36.512882Z

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=2026-05-18T16:21:20.463222Z digest=sha256:5cdf904ad9900c44a77f92be271190f412c0e404cbfb646c13ca9fdc2b404e5a

Observation f14c250a-f249-4979-8a51-3211ff8cc741 · inbound

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering cites this paper.

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:50:40.242793Z

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=2026-05-08T18:05:38.705480Z digest=sha256:dae0ee13cb08d5a2966f198fbe7bc8ed7211963ec40b9dc8be88ae44e669814e

Observation baf58f8e-db87-455d-97e7-9cb6ec747a43 · inbound

Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning cites this paper.

Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:46:08.376663Z

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=2026-05-08T11:06:45.175766Z digest=sha256:435331b5ce6867c2ceb7a7984b8009ec6dd18dee78da35e35ae475886cd477bb