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Paper Citation Record · LEDGER

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2501.16481.

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

pith.paper-citation-record.v1
2501.16481 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:02:35.029120Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:02:34.911909Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:02:35.194086Z

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc2ac9d6-6a14-4816-9a9c-38cfefc4a53e · outbound

This paper cites Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM

Reference 1

Resolution
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Observation 7718d152-77a0-47fc-90a7-a942acb2ca39 · outbound

This paper cites However, these models are trained on large, publicly available datasets, which often lack representation of medical data.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM However, these models are trained on large, publicly available datasets, which often lack representation of medical data

Reference 2

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Source-reported events for the cited work

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Observation 300ba450-a6d3-4dae-a2eb-edf2dcd40c5c · outbound

This paper cites 2 shows our overall methodology, which extends the SOTA customized prompt driven image recognition method Fig.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM 2 shows our overall methodology, which extends the SOTA customized prompt driven image recognition method Fig

Reference 3

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Source-reported events for the cited work

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Observation 0660319e-a994-43e5-8fa2-d7f8e1140067 · outbound

This paper cites an unresolved cited work.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 7df28728-03ed-4429-abf7-21e7c7f1a7a1 · outbound

This paper cites an unresolved cited work.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation d081a44b-aa90-4f03-bfde-9a60769e7bc0 · outbound

This paper cites Rules of being not SOZ:.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Rules of being not SOZ:

Reference 6

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Source-reported events for the cited work

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Observation 3302fc08-b723-40d8-8a0a-4db4c5f33584 · outbound

This paper cites an unresolved cited work.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 9aa6fe10-8e9f-4a96-9035-c2c197037095 · outbound

This paper cites an unresolved cited work.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 454d8f60-e712-4112-89b2-1eb011d14b6b · outbound

This paper cites Based on rules, answer in YES/NO if the prompt below belongs to SOZ.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Based on rules, answer in YES/NO if the prompt below belongs to SOZ

Reference 9

Resolution
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Source-reported events for the cited work

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Observation c00930c0-1d38-4fd9-b9d9-0d47d9964c2d · outbound

This paper cites an unresolved cited work.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 0e00494b-ff9a-4374-b6ff-65fdde708524 · outbound

This paper cites an unresolved cited work.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 2e017c87-72ca-416d-9071-a3d9f10cb8fb · outbound

This paper cites Evalua- tion of rare event detection,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Evalua- tion of rare event detection,

Reference 12

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Source-reported events for the cited work

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Observation 370c0ef1-07df-44d2-9970-5c393f100a67 · outbound

This paper cites A systematic review of rare events detection across modalities using machine learning and deep learning,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM A systematic review of rare events detection across modalities using machine learning and deep learning,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0b2659d5-4bf2-47bf-b6ca-2e2cec0a25ad · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Chain-of-thought prompting elicits reasoning in large language models,

Reference 14

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3e5b8287-24dd-4c02-a9ef-317f223d322b · outbound

This paper cites Inductive or deductive? rethinking the fundamental reasoning abilities of llms,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Inductive or deductive? rethinking the fundamental reasoning abilities of llms,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation afaeb66a-4e55-463a-b3e5-3c37665ab010 · outbound

This paper cites What does a platypus look like? generating customized prompts for zero-shot image classification,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM What does a platypus look like? generating customized prompts for zero-shot image classification,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a54f7fbb-e5b0-4249-b648-e4171f503841 · outbound

This paper cites Learning transferable vi- sual models from natural language supervision,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Learning transferable vi- sual models from natural language supervision,

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 748799a1-4d0d-4c9b-9d6b-0553dc39af6f · outbound

This paper cites Instruction tuning for large language models: A survey,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Instruction tuning for large language models: A survey,

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ceb38705-4886-44d0-a88c-90501921e419 · outbound

This paper cites CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System

Reference 19

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86a4cfa2-e31c-4e76-af1b-bcf7f8b989be · outbound

This paper cites Balancing access to health data and privacy: a review of the issues and ap- proaches for the future,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Balancing access to health data and privacy: a review of the issues and ap- proaches for the future,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 16470a90-96a2-464c-b70d-a31a5830c420 · outbound

This paper cites Combined scaling for zero-shot transfer learning,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Combined scaling for zero-shot transfer learning,

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0464e0d4-6019-4bb6-8e33-396c700ba103 · outbound

This paper cites Scaling up visual and vision- language representation learning with noisy text super- vision,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Scaling up visual and vision- language representation learning with noisy text super- vision,

Reference 22

Resolution
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Source-reported events for the cited work

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Observation f57a56d1-2602-43fc-977d-45104178df00 · outbound

This paper cites Coca: Con- trastive captioners are image-text foundation models,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Coca: Con- trastive captioners are image-text foundation models,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 27359aa1-bd9c-444f-a513-654c254ab06b · outbound

This paper cites Automated seizure onset zone loca- tor from resting-state functional mri in drug-resistant epilepsy,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Automated seizure onset zone loca- tor from resting-state functional mri in drug-resistant epilepsy,

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3672be00-39ca-499e-9491-3611d391a353 · outbound

This paper cites Edgcon: auto-assigner of iconicity ratings grounded by lexical properties to aid in generation of technical ges- tures,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Edgcon: auto-assigner of iconicity ratings grounded by lexical properties to aid in generation of technical ges- tures,

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ba39db03-e9b5-4a3c-8459-39f9332ae90c · outbound

This paper cites Expert knowledge driven human-ai collabora- tion for medical imaging: A study on epileptic seizure onset zone identification,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Expert knowledge driven human-ai collabora- tion for medical imaging: A study on epileptic seizure onset zone identification,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ddd63456-c92d-4fe4-8756-e6184984ae01 · outbound

This paper cites Merging Deep Learning with Expert Knowledge for Seizure Onset Zone localization from rs-fMRI in Pediatric Pharmaco Resistant Epilepsy.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Merging Deep Learning with Expert Knowledge for Seizure Onset Zone localization from rs-fMRI in Pediatric Pharmaco Resistant Epilepsy

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3ff7dd31-64dc-4fc4-9251-f5fd11a7db25 · outbound

This paper cites Framework for developing and evaluating ethical collaboration between expert and machine.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Framework for developing and evaluating ethical collaboration between expert and machine

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:02:35.083971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 76b11d66-ce4c-4595-94ee-5c0ed6ce1c35 · outbound

This paper cites STORM: Strategic Orchestration of Modalities for Rare Event Classification.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM STORM: Strategic Orchestration of Modalities for Rare Event Classification

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:02:35.066839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 577cffe9-02f3-4a65-9189-ca7812eeae24 · outbound

This paper cites Systems and methods for locating seizure onset zones from rs-fmri in pediatric pharmaco-resistant epilepsy us- ing deep learning,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Systems and methods for locating seizure onset zones from rs-fmri in pediatric pharmaco-resistant epilepsy us- ing deep learning,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:02:35.247570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cb5042c8-e08e-4e47-bda9-9037eb40f876 · outbound

This paper cites The expert’s knowledge com- bined with ai outperforms ai alone in seizure onset zone localization using resting state fmri,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM The expert’s knowledge com- bined with ai outperforms ai alone in seizure onset zone localization using resting state fmri,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation eea89717-f2ed-4b1d-81e2-18e62fb578fa · outbound

This paper cites an unresolved cited work.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Unresolved cited work

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 95cbf517-3a8f-4a3d-8ee1-de13c3160fc6 · outbound

This paper cites A prospective fMRI-based technique for localising the epileptogenic zone in presurgical eval- uation of epilepsy,.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM A prospective fMRI-based technique for localising the epileptogenic zone in presurgical eval- uation of epilepsy,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:02:35.211558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

Observation cc2ac9d6-6a14-4816-9a9c-38cfefc4a53e · inbound

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM cites this paper.

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM

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local_arxiv, observed 2026-08-10T13:02:35.198856Z

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source=pdf_text observed=2026-08-10T13:02:34.911909Z digest=sha256:886166f6949867fb34a160c29f8fbe625aaf98998f1d37d3d863674848e16d67