Paper Citation Record · LEDGER

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.12744.

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

pith.paper-citation-record.v1
2606.12744 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:34:20.560870Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact9
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a5bdd23-4ccd-4312-aa10-fa9761ecb0dc · outbound

This paper cites Qwen2.5-VL Technical Report.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Qwen2.5-VL Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T11:28:04.242745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ee41487-1255-490b-96aa-edb7c7393298 · outbound

This paper cites Can multimodal large language models truly perform multimodal in-context learning? In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Can multimodal large language models truly perform multimodal in-context learning? In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T09:34:20.560870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a679b94-225d-4ed4-bbb4-77322b9887a4 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-03T11:28:04.248622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83f0f176-fd2f-43e0-a44e-864edf16aafd · outbound

This paper cites The Llama 3 Herd of Models.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models The Llama 3 Herd of Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-03T11:28:04.237290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 802d269e-ac42-4592-a967-8c7e58bcd151 · outbound

This paper cites Ilharco, M.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Ilharco, M

Reference 5

Resolution: metadata mismatch; doi, observed 2026-06-27T09:40:47.154456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 868bcc42-3554-4402-8961-38e86c4f2eab · outbound

This paper cites Syntriever: How to Train Your Retriever with Synthetic Data from LLMs.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Syntriever: How to Train Your Retriever with Synthetic Data from LLMs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:28:04.239902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc7c6749-ea1f-494a-b27d-2d9ee8fa0c43 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-03T11:28:04.234876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e637aabf-a534-4df9-b8f6-6443c32d8321 · outbound

This paper cites Dr.ICL: Demonstration-Retrieved In-context Learning.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:28:04.254399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a5e59d3d-858c-49ba-9e33-dc4f44a7cdc1 · outbound

This paper cites an unresolved cited work.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T09:34:20.560870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29cabaae-74e9-4750-8c8b-173e3350f50c · outbound

This paper cites Learning to retrieve prompts for in-context learning.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Learning to retrieve prompts for in-context learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T09:34:20.560870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ffb31f5-d8df-4999-9fb8-df3e97e286f1 · outbound

This paper cites URL https://aclanthology.org/2022.naacl-main.191.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models URL https://aclanthology.org/2022.naacl-main.191

Reference 11

Resolution: verified exact; doi, observed 2026-06-27T09:40:47.156390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f51f9f6-309d-46f3-81ee-2473e4e755fd · outbound

This paper cites Learning to Retrieve In-Context Examples for Large Language Models.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Learning to Retrieve In-Context Examples for Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:28:04.240181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1190a19c-0add-4172-b484-ad9a0e91232a · outbound

This paper cites Demonstration Selection for In-Context Learning via Reinforcement Learning.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Demonstration Selection for In-Context Learning via Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:28:04.248446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8d9b819c-2ffe-4f6f-a328-8344868c714b · outbound

This paper cites MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:28:04.251441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.