Pith. sign in

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.852999Z digest=sha256:fffaac2219c939ec04610c9f418b941e710d3897e0b25a33ed68a26ceb16b27d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.858489Z digest=sha256:21359e093048b4dd0134f6e82b30e050694dfa4af9864084066c6e2690c14274

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.863510Z digest=sha256:80c53a96bdf1edd128ed8c340688f237bf4a603f15d0205568d8db93b5fd4e65

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.868544Z digest=sha256:0d13c01b999a8cddf9fd75c25c1febd4bb4351e6891788ff6d31ed7354d02b52

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.874259Z digest=sha256:eb09d81e8f7c40563ecb2aec309505710f764fed9ec1d1cdf33ef11313663030

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.879347Z digest=sha256:b2b766bd1f6db79f4696275aba2d681b173681fe90b5f4778779aee17a648852

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.885767Z digest=sha256:a608ef10536b7853f8024b3af026f0bb6b64a1f78d30345cd69d3562ec8c940d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.890503Z digest=sha256:5ba0b281c97f96fae678554686426afde3cce21cde6391a4c95c38de3f02c207

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.895146Z digest=sha256:ffbd11c9d63b52f126b83018a6773fc64c522998c11cd3e790d4a1a91a31e584

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.899861Z digest=sha256:00c5cf41dd40f0c6d025071d0853dc621aedefe6b3450aa54bea3ac5125528e1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.904726Z digest=sha256:365a8edc3c44795e4e5d1e78e2d79d06d3a8fe164118fc235a87f3c4426f35db

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:a10b31528e03b8bfc71f90d2702ba4711b374b24eb4200638912ea870e015fd9

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=sha256:2e27ea9942797b5e4489eed35fcb65b0c36f0a63e13c8f37704f73684d14c28c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.920723Z digest=sha256:4edd584a0e28d0cb04b4fd76ac687ad1c9fe5cabbb243562d6ee66ec67758a3f

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=sha256:9cc0439fcb9c9810f7dabe74baa4b61855b144ccda0d059096a6f3d0ca670c11

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=sha256:69c1356f2d216e94311ff14355bf29761e41026a01e80cb689a60421f5e8be9b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.935887Z digest=sha256:7ebda7e55727c37e44c9716f3579b3b054167a1013989abfe26bf23b425e7a79

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:c6189c2b464d61267748b1c1acc121d480677b2ed1504e4926ac33874ed09565

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.945976Z digest=sha256:c740889cf2b755cec2c621f1eaf02e5ba416ff727e186f5e1a376d118bec7d55

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=sha256:9141682d416ad5d8ebca4b815d4757b91b861c77963f18f98ed46746bb360664

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.956487Z digest=sha256:1d2e03f9d42b939a8d910fcedcf1a9247536973180ad106989cf2d8aaf32dbad

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.961234Z digest=sha256:1ab05a65d83aa1e578c95fa05a7c6a060abe4de840f1632776ada7319afb1cce

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:ed3323576633351b78be1759795e143f778c39c1efe05c3f4f58d6ec90dbf7e9

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:a1f0b1352699204840135ac3b13036a0d57d76ac3888b35ce92caa92abb7f525

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=sha256:49de3e342b9c62e7be4769569ed90af93463fe0f440d5450e24c938bf51c524c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:06:22.981980Z digest=sha256:f783e67deea4c2159f192a1d87f52b38f46ee82a1cbe1ff746ee893618e53e70

Pith citing papers

No inbound Pith citation observations are available.