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Paper Citation Record · LEDGER

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.18021.

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

pith.paper-citation-record.v1
2311.18021 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T05:36:38.735914Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:40:56.036122Z

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 f7798c12-b2f3-499a-afef-f652dc53e1b7 · inbound

Online In-Context Distillation for Low-Resource Vision Language Models cites this paper.

Online In-Context Distillation for Low-Resource Vision Language Models Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:40:56.038621Z

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=2026-05-18T05:36:38.735914Z digest=sha256:fd0dc7b5d8291b0a69bb643761dedb327df8a633bfb7ace8d779502b7a28fbd5

Observation 488fc930-8120-4fcb-aefc-b2555ab85a12 · 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 Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.206259Z

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=sha256:047a6ab722236ad9a6a05c14e6eff59eb39ebb8573f4f445bb8bf21c397f2577