Paper Citation Record · LEDGER

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2508.06504.

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

pith.paper-citation-record.v1
2508.06504 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:14:27.659453Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy7
unresolved20
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f515840-d9f0-4796-b943-4362fb7296e2 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:14:30.203175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90f4bf95-83bc-4864-9e19-e381a731204a · outbound

This paper cites & Dufour, R.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models & Dufour, R

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:14:30.197049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 555f78d2-a82f-430f-8af3-192f514383ba · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:25.169339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d2288a-501d-4f76-8700-d1ca6d6f0cf4 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:14:30.187175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b856b51-1080-426b-ba6c-6db7cd88cfea · outbound

This paper cites & Zweigenbaum, P.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models & Zweigenbaum, P

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:14:30.067592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1cf09c6b-b735-4ac9-9649-bb4cdb4a68c4 · outbound

This paper cites Prompt Engineering a Prompt Engineer.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Prompt Engineering a Prompt Engineer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:25.414332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7a27ecf-fd85-4b68-8135-318473f14a5d · outbound

This paper cites & Jia, R.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models & Jia, R

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T14:14:27.930494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44d32747-b2ce-45c1-9aa9-41b7518a58ff · outbound

This paper cites & Zhang, R.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models & Zhang, R

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:14:29.773285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56f542b9-a694-4c8f-a57b-21f369e3b9b0 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:25.650901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d06372-6de8-4a6e-84e3-939bdd8e4f38 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:14:29.496281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ebcc290-22df-478f-b4c0-7ea4fd2a97a2 · outbound

This paper cites W., Zhang, Z.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models W., Zhang, Z

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:14:29.201672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70e6406f-53db-4d50-afd0-3b758c385d91 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:25.755075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f37b28-d1fe-40d4-9b63-ebb6d9dcdca3 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:14:29.031201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70406fcd-5a20-4b5a-a72e-457715bd5d59 · outbound

This paper cites Benchmarking Retrieval-Augmented Generation for Medicine.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Benchmarking Retrieval-Augmented Generation for Medicine

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:25.853428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17070df7-5b53-4974-8965-a7f56b988393 · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:25.890980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35638d15-de73-4bf6-abe2-19b6cdda8487 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:26.009955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44086d32-0ad4-4a77-bbc6-9bc687ccff12 · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:26.113516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90285792-b7d6-4f15-addb-8c026986ecdf · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:26.200426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ffe4ad5-d732-44a8-9c10-c2221c7b7ccf · outbound

This paper cites Improving large language models for clinical named entity recognition via prompt engineering.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Improving large language models for clinical named entity recognition via prompt engineering

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:26.317173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2df0c17-ff3e-4d1f-8d6c-2b86aaaa0130 · outbound

This paper cites A statistical interpretation of term specificity and its application in retrieval.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models A statistical interpretation of term specificity and its application in retrieval

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:14:28.858282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78ea3c39-1736-46c7-af70-04fe26d6a459 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:26.540674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f6ce59-a575-4e59-90cd-93a62ae902da · outbound

This paper cites & Zaharia, M.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models & Zaharia, M

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:14:28.705626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f746ef13-d95f-4ab2-8710-23144a2b7d2c · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Dense Passage Retrieval for Open-Domain Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:26.805534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d145a3a7-dc80-4875-bbb6-ac02517835a6 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:14:28.557033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d1912aa-827b-4879-8b8a-19d519b24e3c · outbound

This paper cites Bootstrap methods: another look at the jackknife.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Bootstrap methods: another look at the jackknife

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:14:28.425113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7774493-0c79-4886-ae46-14afc247c559 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 26

Resolution: malformed identifier; no resolver link, observed 2026-08-06T14:14:27.166560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70cf102-2ed7-436f-b9d6-830fb57f5203 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:27.322619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8632fd50-346f-40f8-abb1-6bb2947cf1f5 · outbound

This paper cites an unresolved cited work.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:14:28.215160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2fbfc404-70ee-4768-bbfb-60a08dd834bb · outbound

This paper cites I., Leaman, R.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models I., Leaman, R

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:27.554264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58fa3e0f-b091-4a2e-8e15-31f3db03c245 · outbound

This paper cites Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media

Reference 30

Resolution: malformed identifier; no resolver link, observed 2026-08-06T14:14:27.659453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.