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Paper Citation Record · LEDGER

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2504.16448.

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

pith.paper-citation-record.v1
2504.16448 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:22.981980Z

measured 26 of 26 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

26 of 26 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec928d8f-35ad-4823-88c0-4966ca928a3f · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.452271Z

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.

source=pdf_text observed=2026-08-16T11:06:22.852999Z digest=sha256:d8b965b39a3e8debe99b00287db8e52f257b197b81be460569964d4692a89cfc

Observation b5a01617-8892-42cc-a861-f1916f695723 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.435157Z

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.

source=pdf_text observed=2026-08-16T11:06:22.858489Z digest=sha256:027f3c0e293d3be32096e8ee5a197edda426e5dd9692e1162854e252e6e99d50

Observation 0fa5bf19-fda4-4ff6-a5b5-0daed7487873 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.419155Z

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.

source=pdf_text observed=2026-08-16T11:06:22.863510Z digest=sha256:ccad5ff3f34813e579ebc1a7fb873d8c8cd8d5f216e98ff356f166a54d624557

Observation 36fb6d45-e231-4501-bb12-bdbc2fef76b8 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.403565Z

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.

source=pdf_text observed=2026-08-16T11:06:22.868544Z digest=sha256:0691ac7d1558dbb2c4db551bf1e7d3a7511c2385836d9409365958fee1c4953e

Observation fa87f750-0e4a-492e-b7ff-2dc6a0036f2b · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.388112Z

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.

source=pdf_text observed=2026-08-16T11:06:22.874259Z digest=sha256:7e4a1f03fb87726493355a0b52ef77df2969e276513f29ba3a8f086780adabe8

Observation 1d812bce-7554-4a07-b9d8-d221702469d0 · outbound

This paper cites T., Granmo, O.-C., Tveit, T.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records T., Granmo, O.-C., Tveit, T

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:06:23.371988Z

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.

source=pdf_text observed=2026-08-16T11:06:22.879347Z digest=sha256:f0d065952b37c0d2ab9843392cd14d4ac3ae2426380b1aebf3c6d77738c63fca

Observation b33c7165-8ace-4f7c-a2a4-63502bf06024 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 7

Resolution
verified exact
doi, observed 2026-08-16T11:06:23.039349Z

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.

source=pdf_text observed=2026-08-16T11:06:22.885767Z digest=sha256:6ad67047ef2ddaec3b53f2c92a489f8e04069a326bb3b72ff2df0ae90017b932

Observation 39c7f84c-4b9a-4622-91c7-f2d3a44e5284 · outbound

This paper cites & Rankin, D.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records & Rankin, D

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:06:23.353955Z

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.

source=pdf_text observed=2026-08-16T11:06:22.890503Z digest=sha256:8e75fac940f72a9c72909b9ae82e729d6ef9712d2d7bb1e51c29fe6fbcdfdfa1

Observation fc5ec333-1e2e-47ac-838a-2a5d760b38a8 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.337972Z

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.

source=pdf_text observed=2026-08-16T11:06:22.895146Z digest=sha256:051df854d9e5e5808effbe8f5f4066293c5acbc2803cfe1385784b02e1629cd5

Observation 26fa1bb0-8822-4056-b516-5b0a01c8ad33 · outbound

This paper cites & Schmidt, D.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records & Schmidt, D

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:06:23.321085Z

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.

source=pdf_text observed=2026-08-16T11:06:22.899861Z digest=sha256:c388e3ffbc84230f1c80201ad93f431510d01a6909da3658a7f0de2a96b78ba2

Observation a94b46d4-bda1-46d2-96c9-8f35564afea3 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.303977Z

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.

source=pdf_text observed=2026-08-16T11:06:22.904726Z digest=sha256:6f0890d219a2142831f51de05cae59bbfc7813c5509c987fe6118f060ff084a0

Observation a1edc1ec-7343-44a5-9fb5-0ea280c060f5 · outbound

This paper cites QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.910150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.910150Z digest=sha256:cfb72ab5f4f2334533eb00e1f5f993f33ca340f6cd89bd306be42219c9b27651

Observation 1b441048-7d87-43f1-9f6f-afc92e4680da · outbound

This paper cites C-ICL: Contrastive In-context Learning for Information Extraction.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records C-ICL: Contrastive In-context Learning for Information Extraction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.915471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.915471Z digest=sha256:797e2734b174926c489060f9b7839265135f0d507a49d69d14e252316a515402

Observation cbe65fc4-e9ff-47c1-83e2-231d10f3d81c · outbound

This paper cites & Myers, B.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records & Myers, B

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:06:23.288140Z

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.

source=pdf_text observed=2026-08-16T11:06:22.920723Z digest=sha256:30011bb38d0036b939a6bc3979adbaa1ce7fcc627e2e80317f460b6f81eb075e

Observation 33f16d7f-0e06-4272-ac2b-5d9629787105 · outbound

This paper cites Attention Is All You Need.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Attention Is All You Need

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.925439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.925439Z digest=sha256:a66f04c3082cce69c726ac9b87192cde252e2dcbcfa3f71f5d289e9741fe17c0

Observation 2e28e441-b00f-4347-a079-243dfcbd2fb1 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.930695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.930695Z digest=sha256:b1ae6025da13e9879ec42175a9462d7c7a46e4db38bffcfaf147ff4167f16d17

Observation 1c7beea7-fab0-4e05-887b-e13c6ffd9370 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.270783Z

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.

source=pdf_text observed=2026-08-16T11:06:22.935887Z digest=sha256:54db76fa8c5c35bed5a65abc7e646bf8b94f59f379ba268031b87ad08f624f95

Observation d05c1b51-cae0-4051-9449-275dd81101d7 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.940905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.940905Z digest=sha256:93148178ef2ecab59e591082884455627e4c2d58266e24670b7bcdc1ddc55fe7

Observation 1b2fae51-615d-4e8f-b382-add53aeffd4d · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.254990Z

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.

source=pdf_text observed=2026-08-16T11:06:22.945976Z digest=sha256:13667d02af7eabb5a2eb1c6cdf8a09c38ee92abb4eb6519e181596c7e23628f0

Observation 9a9b574e-31c3-46d4-93fb-52adc3b97ec8 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.950793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.950793Z digest=sha256:ea341fbd613fb483f7a8539f8f1351cd5ad3ea1d33b52605172736714972f193

Observation 3045d17c-2f12-428a-9aef-1829b7758105 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:06:23.238471Z

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.

source=pdf_text observed=2026-08-16T11:06:22.956487Z digest=sha256:4b7a8a1ef24cb5e69f6dfdf54393a1ddb64ef12ec76d121281429b260c710244

Observation def7519f-ba7c-4b17-95e5-390a83682198 · outbound

This paper cites an unresolved cited work.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Unresolved cited work

Reference 22

Resolution
verified exact
doi, observed 2026-08-16T11:06:23.022191Z

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.

source=pdf_text observed=2026-08-16T11:06:22.961234Z digest=sha256:ff66422c9e73da3e1bd951a5163a27ff48df0fc3f71ea26222381af711ba6f33

Observation 863cd543-0f00-41ed-a924-d26530e43a1e · outbound

This paper cites CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.966533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.966533Z digest=sha256:1944dfe54b0807decd7eab31d4b75b9389a03333ecad704f53c69dedc0e64b0a

Observation 8e686f10-0127-48fb-919c-524567a138e6 · outbound

This paper cites Code-Style In-Context Learning for Knowledge-Based Question Answering.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records Code-Style In-Context Learning for Knowledge-Based Question Answering

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.971310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.971310Z digest=sha256:4c540960edb03cb9f44941e022a59468347f9a17bec88bc2d0d1e82b1e8514fd

Observation b552cdce-9ecc-4c4c-8c6f-05246b13be42 · outbound

This paper cites CodeKGC: Code Language Model for Generative Knowledge Graph Construction.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records CodeKGC: Code Language Model for Generative Knowledge Graph Construction

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:22.976288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:22.976288Z digest=sha256:b74f131b62db15d814d916807dd5bc14b67356668576c9c217bac8f8377ee38c

Observation 251b678e-d844-428d-8962-1a1c721c6503 · outbound

This paper cites CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:06:23.068738Z

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.

source=pdf_text observed=2026-08-16T11:06:22.981980Z digest=sha256:a042d06c92a25e48837ecb2db59f04116b819776c0493dc43010c85f7834c5a8

Pith citing papers

No inbound Pith citation observations are available.