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Paper Citation Record · LEDGER

True Multimodal In-Context Learning Needs Attention to the Visual Context

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2507.15807.

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

pith.paper-citation-record.v1
2507.15807 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:15:11.031811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:22.870706Z

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 228ec975-998a-422c-89b7-0bb4354606c1 · inbound

Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers cites this paper.

Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers True Multimodal In-Context Learning Needs Attention to the Visual Context

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T07:15:11.031811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:15:11.031811Z digest=sha256:affcb9330c74b90edb7385d033ab894e6e075dbafa9d7fb37881eedaf1f02cf9

Observation 49fda585-c582-4230-9647-634ebf07c115 · inbound

Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks cites this paper.

Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks True Multimodal In-Context Learning Needs Attention to the Visual Context

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.210983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T13:41:37.942145Z digest=sha256:1ca7b092570a05ae529417d23c237a129657074de93284cee4ccc8b2b5536b90

Observation 694c1bcf-b7dd-4af0-bf36-3dc8c2ea6832 · inbound

Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning cites this paper.

Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning True Multimodal In-Context Learning Needs Attention to the Visual Context

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:31.182673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T19:21:30.235583Z digest=sha256:776df766d4ab4394c21a800b2d1f2337d3c6364bb303d1dc6183126dcf2dabfb

Observation f3145f01-dd25-4afc-8ca7-d6629c2f08fe · inbound

Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems cites this paper.

Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems True Multimodal In-Context Learning Needs Attention to the Visual Context

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:22.872136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T20:11:02.445626Z digest=sha256:5102a9ac9cc62acde52b5d5a1e5c26087db34416a272a37595364db25214c4dc