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Paper Citation Record · LEDGER

Multimodal Few-Shot Learning with Frozen Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2106.13884.

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

pith.paper-citation-record.v1
2106.13884 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 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:33.094142Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T05:54:33.578937Z

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 4cec8149-3cda-4a24-b2f1-26167b891caf · inbound

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action cites this paper.

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action Multimodal Few-Shot Learning with Frozen Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:17:58.808987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T01:17:58.678036Z digest=sha256:77a923d91accfbbee7bce5f244ef8024c67d962fa5e013b479280ca98133aa83

Observation c1887eef-a125-422f-9f6b-adc1c3a5a62b · inbound

PaliGemma: A versatile 3B VLM for transfer cites this paper.

PaliGemma: A versatile 3B VLM for transfer Multimodal Few-Shot Learning with Frozen Language Models

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:10:21.085389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T13:10:19.972353Z digest=sha256:35a7e9ace59b2e54a1b618b1906fb3fea1c420682a12718c3224e98d3fec7a70

Observation b3c8df7f-b242-4f04-9002-f551da1671d4 · inbound

Visual question answering: from early developments to recent advances -- a survey cites this paper.

Visual question answering: from early developments to recent advances -- a survey Multimodal Few-Shot Learning with Frozen Language Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T21:46:28.322137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:46:28.322137Z digest=sha256:c0480e94f1faa531b6681855e0de27efdaa245ca9ec5b560d1512e58e328de60

Observation 62b80859-0ffc-4a20-a67e-42e685ad31a3 · inbound

A Survey on Progress in LLM Alignment from the Perspective of Reward Design cites this paper.

A Survey on Progress in LLM Alignment from the Perspective of Reward Design Multimodal Few-Shot Learning with Frozen Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T00:52:06.528956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:52:06.528956Z digest=sha256:2971fcdd85caa9e5c3fe96a887bf926be5955608a607c60f9e3774c2d920e8da

Observation d86991b2-4d51-4b74-8c44-070079f12346 · inbound

Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach cites this paper.

Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach Multimodal Few-Shot Learning with Frozen Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T11:24:33.094142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:24:33.094142Z digest=sha256:061b738cc53c2d0735716fdc7d9c8d6ab46f7d769ac67ff13f736c23c8b3cb0d

Observation 00ecc256-a3cd-4a70-97ea-4ffd0be5259c · inbound

Analysis-by-Proxy: Localization Signals in VLMs Operating as Condition Encoders cites this paper.

Analysis-by-Proxy: Localization Signals in VLMs Operating as Condition Encoders Multimodal Few-Shot Learning with Frozen Language Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-08T05:54:33.580326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-08T05:49:25.572256Z digest=sha256:f425891378874ff89defcccae3550052c7b7262dae9471c82dafaa6e4c1e519b

Observation 418b4464-2876-482f-803f-f471fada2715 · inbound

In-Context Collapse in Vision-Language Models and How to Mitigate it? cites this paper.

In-Context Collapse in Vision-Language Models and How to Mitigate it? Multimodal Few-Shot Learning with Frozen Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T15:05:19.372276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:05:19.372276Z digest=sha256:810a55bbe819800075b29124f2f43a304b96db20da4ed88667ba1bc7f77c9a1c