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Paper Citation Record · LEDGER

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2412.04573.

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

pith.paper-citation-record.v1
2412.04573 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:30:32.982735Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:04.745921Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:29:10.912373Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact9
  • verified fuzzy8
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation faeaa37e-e8e6-4950-bf2f-e9ca195c920b · outbound

This paper cites GPT-4 Technical Report.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-11T21:30:32.784958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.784958Z digest=sha256:b4872b98742fe4dd9b65354561ea050da615111bc119f914a65aa9daf2091062

Observation aead51a5-30a1-4049-ba96-34b49eac86cc · outbound

This paper cites Llama 3 model card.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Llama 3 model card

Reference 2

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no resolver link, observed 2026-08-11T21:30:32.790470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.790470Z digest=sha256:5a53437ea88d8c4ec513ee944c1035497cb50aed24eea06efbd14262de44effb

Observation 9da58eb9-e552-4038-b082-07c6e1ad3f8f · outbound

This paper cites Synthetic QA corpora generation with roundtrip consistency.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Synthetic QA corpora generation with roundtrip consistency

Reference 3

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no resolver link, observed 2026-08-11T21:30:32.795612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.795612Z digest=sha256:0deef39a593c8d3bff620528fd83a810ba963bb3c9489f074e663e59c8b87ba5

Observation 7d1c86fc-78f7-4b98-8c8e-0b51583f7ac0 · outbound

This paper cites S yn KB : Semantic search for synthetic procedures.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA S yn KB : Semantic search for synthetic procedures

Reference 4

Resolution
verified exact
doi, observed 2026-08-11T21:30:33.247640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.803058Z digest=sha256:e03192c5fbc9b1fb9dfdb4acd5d7dd3dc4303b6a2bae0ed9bc3a7a5dc3038b26

Observation f1a0c459-2db4-467c-b942-47a0fa8df6cf · outbound

This paper cites Schema-Driven Information Extraction from Heterogeneous Tables.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Schema-Driven Information Extraction from Heterogeneous Tables

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:30:33.461466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.809375Z digest=sha256:bc40aaf0b82c8e129a2b0dfb8bca4004f326407d0292d81632bdcbad50d86e47

Observation 7e9efd1b-b48d-45a8-831d-63686754d932 · outbound

This paper cites F ewshot QA : A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA F ewshot QA : A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models

Reference 6

Resolution
verified exact
doi, observed 2026-08-11T21:30:33.231628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.815157Z digest=sha256:1ad98d83c4593890297d18993ae39519074bff784f1fc2a718d943dd2a002c35

Observation 8ea9d79b-ba13-45d0-91bf-257345e90153 · outbound

This paper cites Minprompt: Graph-based minimal prompt data augmentation for few-shot question answering, 2024.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Minprompt: Graph-based minimal prompt data augmentation for few-shot question answering, 2024

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.660354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.820857Z digest=sha256:c5b266aded0346d51d78e129aaf93c4b027eaab865199e266d8ec42c9f69b578

Observation b7f2bd26-eda6-4e44-8054-7bb4f6e48d20 · outbound

This paper cites Meditron-70b: Scaling medical pretraining for large language models, 2023.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Meditron-70b: Scaling medical pretraining for large language models, 2023

Reference 8

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no resolver link, observed 2026-08-11T21:30:32.825829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.825829Z digest=sha256:d11f1b3a2371c80696a9613a391d76294c6f42a789d1f02c324ff821ba64655c

Observation bf640d0d-59f1-471b-90f9-d4596d3ebe90 · outbound

This paper cites Information extraction from weakly structured radiological reports with natural language queries.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Information extraction from weakly structured radiological reports with natural language queries

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.633291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.830808Z digest=sha256:1102acab885f568d96fe3ddf42dd4d0a3a877d6da4b0849d70975d2376fff5f7

Observation f1e4199a-901c-4445-9b94-29cb511b043c · outbound

This paper cites Learning to ask: Neural question generation for reading comprehension.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Learning to ask: Neural question generation for reading comprehension

Reference 10

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unresolved
no resolver link, observed 2026-08-11T21:30:32.836114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.836114Z digest=sha256:2c647665ece3b47667b5099a662c2a2eed23a86a34162f10b3c9eae3b55a8a76

Observation 1896aa6b-8b2a-44a5-9ac0-dbb34227f38b · outbound

This paper cites Annotating and characterizing clinical sentences with explicit why- QA cues.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Annotating and characterizing clinical sentences with explicit why- QA cues

Reference 11

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no resolver link, observed 2026-08-11T21:30:32.841157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.841157Z digest=sha256:cb129e6dd39dbe64aa0ab68b9599976bfdb9513635133f31e39bf725d4c0efd9

Observation 80cadf20-3f82-47c9-93b0-9131d368afeb · outbound

This paper cites A lightweight method to generate unanswerable questions in E nglish.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA A lightweight method to generate unanswerable questions in E nglish

Reference 12

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no resolver link, observed 2026-08-11T21:30:32.846243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.846243Z digest=sha256:cbfda929658aba968fa4ed6dbc1f04bc660da32361293d0026ae94d8613d0559

Observation af4b8882-f634-4f09-b62e-ba88396f3b7a · outbound

This paper cites Mimic-iii, a freely accessible critical care database.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Mimic-iii, a freely accessible critical care database

Reference 13

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no resolver link, observed 2026-08-11T21:30:32.851460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.851460Z digest=sha256:164649a1dedeb29dc845e03fd69b2dd7c5aa9fb49a242c069a374d57e9eaff50

Observation 883b78b9-6150-46d6-b513-0a794b65ac49 · outbound

This paper cites Le, Fan Bai, and Alan Ritter.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Le, Fan Bai, and Alan Ritter

Reference 14

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verified exact
doi, observed 2026-08-11T21:30:33.182492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.856065Z digest=sha256:6b7557be26f15e21fec21b2e4ff024c2a74dc4034981cc54e08e2a4721e3c921

Observation 212f018b-d622-47ba-8b9f-d9bb3465a4f2 · outbound

This paper cites Learning to ask like a physician.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Learning to ask like a physician

Reference 15

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unresolved
no resolver link, observed 2026-08-11T21:30:32.861065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.861065Z digest=sha256:0dcb77e0c621ba5907e052da439ed40e2ca9504b6902986a93acce8c4797f79b

Observation 4132d18e-0529-48c4-988f-8af8cbca376f · outbound

This paper cites Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art

Reference 16

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no resolver link, observed 2026-08-11T21:30:32.865619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.865619Z digest=sha256:1ccd93560c464cb7bd4a7e4fc519a9e92bca00b67a76da4e179212ad6c30a4ff

Observation 7d3ed0a8-d14c-4baf-a5eb-72a5b8a21a24 · outbound

This paper cites PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Reference 17

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unresolved
no resolver link, observed 2026-08-11T21:30:32.870372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.870372Z digest=sha256:0b6262ad9432e1be3170c4afa1d3fe022ba3219543a8af2826b0602a6db61f6e

Observation e64ddf93-ce69-4a33-9bd6-94ad68b13d52 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

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unresolved
no resolver link, observed 2026-08-11T21:30:32.875167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.875167Z digest=sha256:375ff38c8a55cc8c91877908d209ebd10c09a3eb084a88bb49ef1e7dacbf28f8

Observation 26a4b56c-7f2f-48be-bbd0-91a664526742 · outbound

This paper cites Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:30:33.420473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.879668Z digest=sha256:440c8309d2aa55b34f0b34526275a0175171ca6850fa1590e7f8954e1ebb5521

Observation b12b3ea0-e40c-4582-8384-8d948e574f38 · outbound

This paper cites Extractive clinical question-answering with multianswer and multifocus questions: Data set development and evaluation study.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Extractive clinical question-answering with multianswer and multifocus questions: Data set development and evaluation study

Reference 20

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malformed identifier
doi_truncated, observed 2026-08-11T21:30:33.146158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.885299Z digest=sha256:dedc66b638571d7acafdd5dde003efc5a02a0c3e3ee869435ba13a7cac027c59

Observation 82a49fd4-00a4-402b-ab06-b0e6be8b8e69 · outbound

This paper cites Experiments on portuguese clinical question answering.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Experiments on portuguese clinical question answering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.592025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.890777Z digest=sha256:0ef2251e0953bbfaf3545213c7d3dcb06229683049dcefd748794e304f30b22b

Observation 09c58e49-8ef2-4792-a995-6634e9895ba3 · outbound

This paper cites an unresolved cited work.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-11T21:30:32.895678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.895678Z digest=sha256:b9fa7acfc97cc3db481ae9b45b6f859dee17fbf8909bbb73a274516bfa78251d

Observation ef675c98-0f90-486c-9cd9-bb8e2ce14261 · outbound

This paper cites emr QA : A large corpus for question answering on electronic medical records.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA emr QA : A large corpus for question answering on electronic medical records

Reference 23

Resolution
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no resolver link, observed 2026-08-11T21:30:32.900800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.900800Z digest=sha256:29987e750eee03662a42d2cc814ca41b2a1bb2012b90e1d90434e25c12e556b0

Observation 9273f2a4-4f6f-487f-9bb6-6cd9e456244c · outbound

This paper cites An ontology for clinical questions about the contents of patient notes.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA An ontology for clinical questions about the contents of patient notes

Reference 24

Resolution
verified exact
doi, observed 2026-08-11T21:30:33.118116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.905668Z digest=sha256:ea351199c9e93f9f01de2457a24aa70897f127aa66508a25de5160d7ac36ded7

Observation 6bac372c-3ccc-46b2-a92e-ffd4d2307e1c · outbound

This paper cites Synthetic Data Applications in Finance.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Synthetic Data Applications in Finance

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:32.909912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.909912Z digest=sha256:2c4c79e00eb9b250661ef9650d8e22b8fd643cb3144bf5b1bf486a037a55e6c7

Observation abf00f48-6392-4859-89ef-bb70e831e3ed · outbound

This paper cites Training question answering models from synthetic data.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Training question answering models from synthetic data

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:32.915958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.915958Z digest=sha256:16295242eefb6389c1cf873634d302aa6562c314dd72891fb55e35dfd05e5efc

Observation 4858d50a-dbd3-4423-b4be-e74a0aa8cdd4 · outbound

This paper cites Liang, and Murthy V.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Liang, and Murthy V

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.563248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.921014Z digest=sha256:f661d9c2911483990fe30792badd29002af9c8942b1f4c56692d8eac4cdeaa75

Observation 4a39e969-46e9-429a-9e89-c4abe4969be0 · outbound

This paper cites SQ u AD : 100,000+ questions for machine comprehension of text.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA SQ u AD : 100,000+ questions for machine comprehension of text

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:32.927157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.927157Z digest=sha256:9f3cbe2f1528ff9d4ac6f58e445d8e63f4966aeb00455b74f8e7e68d578d4ab7

Observation 7e93edd8-a280-4890-8adf-948f72160d16 · outbound

This paper cites Few-shot question answering by pretraining span selection.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Few-shot question answering by pretraining span selection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:32.932073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.932073Z digest=sha256:2f66abb78a547bdd3feb4b6f1b809c4fa5193490514c7d8be43ac1cef9429a77

Observation 47ae3e70-e2cf-48e8-9a04-2b8b966b863a · outbound

This paper cites Can llms augment low-resource reading comprehension datasets? opportunities and challenges, 2023.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Can llms augment low-resource reading comprehension datasets? opportunities and challenges, 2023

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.547156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.936386Z digest=sha256:b8db7d7f43750c34a6dc0b266d1496947f41ff2e0c68dabe43a445c548410514

Observation 175e59d8-15d0-486a-9719-c2f4187301ec · outbound

This paper cites R ad QA : A question answering dataset to improve comprehension of radiology reports.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA R ad QA : A question answering dataset to improve comprehension of radiology reports

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.530640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.941138Z digest=sha256:9df0a4d833b44863b212b64e7a201385afc933d12e21b1bbfe05f3f536dd4c8c

Observation 0e8f38c2-20e8-4f7b-9186-a7007fa4af76 · outbound

This paper cites Generative language models for paragraph-level question generation.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Generative language models for paragraph-level question generation

Reference 32

Resolution
verified exact
doi, observed 2026-08-11T21:30:33.069089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.946137Z digest=sha256:c8da67aa7d715027d4c29c24ad2381bd73b9e55d2c328837f8910e7cb99562d1

Observation c097de2f-4b33-4bd2-a7d3-a120e9d828d7 · outbound

This paper cites An empirical comparison of LM -based question and answer generation methods.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA An empirical comparison of LM -based question and answer generation methods

Reference 33

Resolution
verified exact
doi, observed 2026-08-11T21:30:33.052125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.951607Z digest=sha256:62af16eb51d2b250e0769ad1c0d3c68698149c0984734871755b15c6eae57128

Observation 5ecb7a87-bcfb-4039-9598-2078cb2974af · outbound

This paper cites P rompt2 M odel: Generating deployable models from natural language instructions.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA P rompt2 M odel: Generating deployable models from natural language instructions

Reference 34

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unresolved
no resolver link, observed 2026-08-11T21:30:32.956509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.956509Z digest=sha256:1bc25be292f83f857c6d749a08617fc25a5a1579755859cac88980f54be5c5dd

Observation 52d21b2e-4d2b-4f6d-b7c6-0e90cd4f2f27 · outbound

This paper cites PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 35

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no resolver link, observed 2026-08-11T21:30:32.961207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.961207Z digest=sha256:e6766afb5051d3ffcae7ca368ea97755412e915c1a9fd0a9302ca4757fac898e

Observation 81f10c34-844c-4539-a982-78dcec18fbfc · outbound

This paper cites Explicit over implict: Explicit diversity conditions for effective question answer generation.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Explicit over implict: Explicit diversity conditions for effective question answer generation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.514069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.966662Z digest=sha256:29cb60ce35f29d210acabf6a7f5d143e7324b44f14e56ffc1f12916fe48d0e21

Observation e5fd7d70-a5f8-42ae-a85f-ef106bf7f247 · outbound

This paper cites Diversity enhanced narrative question generation for storybooks.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Diversity enhanced narrative question generation for storybooks

Reference 37

Resolution
verified exact
doi, observed 2026-08-11T21:30:33.023266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.971863Z digest=sha256:c35c5876124eedfeebb9fc7a9ba748d27816c3f455713051456ab8d525788062

Observation 886116c3-a74b-4943-9d24-dfeb3e88100b · outbound

This paper cites Large language model as attributed training data generator: A tale of diversity and bias.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Large language model as attributed training data generator: A tale of diversity and bias

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:33.496783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:30:32.976961Z digest=sha256:3470756f98d3f017f05609d8f76d787182cb883a3b50d86b10895643a44acc5e

Observation aaabffb8-f2b9-4192-96d3-63db16d7b02d · outbound

This paper cites Cliniqg4qa: Generating diverse questions for domain adaptation of clinical question answering.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA Cliniqg4qa: Generating diverse questions for domain adaptation of clinical question answering

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:32.982735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:30:32.982735Z digest=sha256:5e331b3dcb7ef3b3c4cd0481cfc4da5e03db5c50b631e8bc2c703d773f98505b

Pith citing papers

Observation ff145259-2474-4035-8eaa-453546d21e06 · inbound

Diagnosing our datasets: How does my language model learn clinical information? cites this paper.

Diagnosing our datasets: How does my language model learn clinical information? Give me Some Hard Questions: Synthetic Data Generation for Clinical QA

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:29:11.051626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:29:04.745921Z digest=sha256:7ad47eef1246cc155714b8de8a25231bb4f6eb414b83c5700a8ba9333924f121