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Paper Citation Record · LEDGER

Cross-modal Information Flow in Multimodal Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.18620.

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

pith.paper-citation-record.v1
2411.18620 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:10.027628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:02:17.731733Z

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 fbc8c65d-34f7-4862-ad73-5e0c6f2c7509 · inbound

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models cites this paper.

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:02:17.735126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:58:57.819555Z digest=sha256:bc563c2221ecab82efff758ca56feaa18c5d32ce3ebbabf5e83c43a07df8079b

Observation d595b4d8-664f-4f4c-a21c-947feaa1fcd5 · inbound

Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation cites this paper.

Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation Cross-modal Information Flow in Multimodal Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:10.027628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:10.027628Z digest=sha256:43d4f51bbaa7dc4429b0fc9a79bf43cdaa5298413467a417855e92e6f45fbe2f

Observation e90e38c3-498d-4f73-a74f-53f56c143979 · inbound

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation cites this paper.

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation Cross-modal Information Flow in Multimodal Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T00:53:26.857624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:53:26.857624Z digest=sha256:4eeb8e7d37b03f511565dcbccc71c9628fb711f3404a50184458603f7bec9f53

Observation 03c0985e-2934-4751-9bbb-32103dfcca6e · inbound

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models cites this paper.

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:53.735239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:53.735239Z digest=sha256:3033b39d9b8c52a0ca4b0ff60c7e06e121f9ce6b8f3d113c524de374531dfc09

Observation 75c6598e-4096-4d67-8213-229f86126856 · inbound

Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models cites this paper.

Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T12:40:05.544824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:40:05.544824Z digest=sha256:8b34085450008b1d4b44f7ffddfcc615ff5a2345707eb2a4dc57b5473b444403

Observation 37595e36-29d1-423e-8221-6cd810049313 · inbound

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models cites this paper.

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T16:30:12.654347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:30:12.654347Z digest=sha256:34e1996312e979abacace8946ac9e8b1f9cb566428b5973ce6bfd2ea3f0981a9

Observation 9f9da4c6-c19e-49d8-91e9-b939a7f244c4 · inbound

Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination cites this paper.

Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination Cross-modal Information Flow in Multimodal Large Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T06:28:05.500293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T06:25:43.369455Z digest=sha256:c305380b4cbc8f4b7233d46f3faf9a08c5f3df0d0d935cd4d381899642169e79