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Paper Citation Record · LEDGER

A Continued Pretrained LLM Approach for Automatic Medical Note Generation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.09057.

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

pith.paper-citation-record.v1
2403.09057 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:43.752924Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:40:03.815465Z

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 0e00ae1e-d03f-41cb-adee-72294d09c565 · inbound

Synthetic Data Generation with LLM for Improved Depression Prediction cites this paper.

Synthetic Data Generation with LLM for Improved Depression Prediction A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T11:55:43.530591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:55:43.530591Z digest=sha256:e5a767be88b80b77ed0e6b1d7fff7918803a366d589636e29d62f84307581460

Observation 1fbb77fc-8328-4c74-bc37-d3d6d4dc7bba · inbound

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine cites this paper.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.469168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.469168Z digest=sha256:0c2fbbd6af76ddb5a49c3dc16f4eb806c4723f0401fa39aae2adaa81d7403f7c

Observation 5cd8f653-c5eb-4ded-a188-34ae5cf4705d · inbound

GeneSUM: Large Language Model-based Gene Summary Extraction cites this paper.

GeneSUM: Large Language Model-based Gene Summary Extraction A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T05:01:38.597954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:01:38.597954Z digest=sha256:bb57fc2f99662fc40f13599fb0fe2e648f8292d261f92e8b5d590c15b483684f

Observation be7a51b5-fde0-40e6-b834-436e69be1246 · inbound

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs cites this paper.

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:43.752924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:43.752924Z digest=sha256:aa9339ca8dfe4dc791acebca02b2c482a8163e67ecf9f484c5cd2a20ccc13601

Observation 7e74cbec-79a9-45a2-b914-e3c19d33f93e · inbound

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report cites this paper.

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:58.589369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:58.589369Z digest=sha256:cf07427147ca74e2da874bcfa50054ef81559c77aea649d4fb388ec264f9dc60

Observation 380e8eda-71d0-4be2-b209-c65ab6cec482 · inbound

Medalyze: Lightweight Medical Report Summarization Application Using FLAN-T5-Large cites this paper.

Medalyze: Lightweight Medical Report Summarization Application Using FLAN-T5-Large A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:55.622816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:55.622816Z digest=sha256:6e42d74060d8bc10f3a4fa05f4ac633d326efbf31cccf9fae17c895b2930ccdc

Observation 0a5802a3-f5e8-46cf-a388-d2062983f66f · inbound

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis cites this paper.

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T18:52:34.541329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:52:34.541329Z digest=sha256:ae6c5f39d01f1b1cb9961819ba1057203c5bdf6b5afacb29edccd4f3820216e7

Observation ff16ec32-3610-4833-9fa2-9991bb9157d1 · inbound

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey cites this paper.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:49.906266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:49.906266Z digest=sha256:c132b4d97a91d4c6b0946bc8f11e6956e31db67c2fd21ca71ca1511c41bf42df

Observation 8119e352-e84f-4fce-a341-32fb71192381 · inbound

ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling cites this paper.

ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:40:03.882668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T15:40:03.430014Z digest=sha256:02ea43045f0093d7c7d408dca79cae7075a83c868476209e0f87840a4f8a1e06