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Paper Citation Record · LEDGER

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition

As of 13 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2409.11022.

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

pith.paper-citation-record.v1
2409.11022 v7

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T20:40:09.530799Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:41.931843Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:24:42.185594Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact27
  • verified fuzzy4
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f51e3bc-4b30-4cf4-8833-74433326717d · outbound

This paper cites online" 'onlinestring :=.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition online" 'onlinestring :=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:48:25.793115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:2cc71daeb4717185528aadfbde27baf476281185430e322290fd6e8d33521e0b

Observation ea628fb0-3a41-4968-b8fa-58664ebc20ce · outbound

This paper cites write newline.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition write newline

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:48:25.721786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:e410ac805237126922199d7e02a49f8c14a2f0f66ab56f5dc9c323df857c99e6

Observation 5ab70a0a-5197-45af-8eb9-877a630dd328 · outbound

This paper cites GPT-4 Technical Report.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition GPT-4 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.439292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:fedfcbfb1455a3ddd5bd51866d7a85e42d2c31281924e933758cf1650c9b6f5d

Observation 36476692-5d0f-428a-962f-b9f84712bd79 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.731187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:00391c886882335372e848e19c3c4112c01e1626156697ac1ee9626562ce8b2c

Observation f6266d0c-365e-4951-939e-11aa9f312564 · outbound

This paper cites PromptNER: Prompting For Named Entity Recognition.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition PromptNER: Prompting For Named Entity Recognition

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.428719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:e5ba07d2e1c179a373ca74250b2ae240022632b9e06cd4e4953be4b558a712f3

Observation 22cde88a-4462-4687-91ad-af1bd5961376 · outbound

This paper cites Qwen Technical Report.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Qwen Technical Report

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.444713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:82175395b3b61fb78eaf7ba64e979d9707428d5763d2c9f52268e4a8568f7c11

Observation 5c73e865-c48a-41da-a5be-6009d2221f4d · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.782475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:515302859b56ae5aea32db7b9aea19f4310a427bcc4a4320a2119757de8ff925

Observation 2b15bfbc-cf40-4045-bae2-e369f906d435 · outbound

This paper cites Language Models are Few-Shot Learners.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Language Models are Few-Shot Learners

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.433944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:730f12b8fcb09395f7d46dbdd465476cfc9300c91037f1713064410a614d3e11

Observation 7bfcf959-43e2-4032-8d2c-8acf02bf857b · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.724743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:a2aad9ad0dd29e0720ec9957431df2edf481c2bca30de53e99dc3bd36ae4e196

Observation ffd0d762-053e-421f-ba57-66b067c0f1c1 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unsupervised Cross-lingual Representation Learning at Scale

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.520951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:d19517f9be219fdb6a20dae0f627ed818ac3a3e4119dcf167a603651761855b1

Observation 3098bdd3-9a23-44c8-a00f-7febec0b9b60 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.796547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:ebb658fd44324edee3f135c39a334686c8ee55042d7d87787d6344e647836c4a

Observation 11d1967e-aaa4-4720-abcb-7bf26745881d · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.765679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:ade1d5ad9b09ae820e87980d6614fb6d5186b9b2cac8174becc7d8406e6d36dc

Observation 407acbb6-e295-4adf-8f47-e7fa6b9e3c1e · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.758890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:f6f7db491dacaddb7eb411aca5f9214c075ef430bdbdb455e80effe768c080d3

Observation 64a8097e-f55c-49f3-a15c-1a3df6817e63 · outbound

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

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.514772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:bbf300473eb750c05dfac01671c8b877dab86d2806d11aae2777242e287fc938

Observation 9c5d7f43-ae49-4696-a983-ed5746f02369 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-05-23T20:43:24.742404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:918e4fc37760aca5d534e39093aea42852933eddeaf40f176385b17964d7c4d6

Observation 83a3dc80-df01-435a-8767-fea60c72f534 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.701302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:24db8c266ed9bdc8195bbd919f699cf6bd72f9ca41cea13f6f9838df32f3733b

Observation 4dfde464-0ee7-439e-ae6d-d4d80a2a76dc · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.755642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:86e3989ce6421f1ec6f0efd599e858c161106e133e81f4b86818b3f942b8672e

Observation a574faab-5c8d-40b0-aca4-f6e5d8b65e2b · outbound

This paper cites Ensemble deep learning: A review.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Ensemble deep learning: A review

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.509722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:ca8406c1de56ccb234b724bf3d1d735d381dff630b62a3606ac734343e5b4b39

Observation 2b4761af-b316-41f7-9f10-f97a2109c807 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.785663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:25f4544e8cd4cf564f2359f2c9cb4fee12578ea71f0e6f64e08e14c3e6ef2111

Observation e87922f3-9490-46b6-98b4-a0dfb1c2d09d · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.704631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:db7d3a8e08630e6f0c720fd1c8d84d84d8578af763d1b6cc75d86800e77a644d

Observation 1669c43f-3c86-43f3-87ae-9a57799d0bd9 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.741526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:a1bab2c91754948393ae2b97d3bd0cffed16cf70573b11ac153092d1ac858cbd

Observation a8778e18-d662-47eb-aff4-e61520902a06 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.799563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:3f24e9e0d25647499d8dfec8823c7da0627a49fc196fb3968121ce066312ba3d

Observation f8f1a207-bdd0-44be-a821-d96b0d43f59c · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.504148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:c7e799db565093736aade69e12eecf3ec16b978248321a311b6c46d85a2c6216

Observation da62ca7c-1234-4bad-95a8-de655e02ac3d · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.714879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:89c952bbcd888b0e059d79ae968bdd40f062994ab6c16218bcb9c62995deefc3

Observation b12f23e1-a63a-407f-8805-38f97e61257d · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.768572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:06abc3a72ad87e80ad211a413b5122e566cc8862faff5f85b8c9c328994caa39

Observation 6c7184c9-e6d2-4157-af06-cede6ebe21d8 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.762578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:03da3795b7accd4960321d6d7e914fbd7b376f33b41f6dcbf644cb6d5dbc2612

Observation c4b9b36c-a741-4169-9cd2-8db85a05f2d8 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.728227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:6efd8e48de9422eb908638fb5ce376ede72ae97e507632cadb2f0ea5895d2944

Observation f724ab19-b616-41c4-8a42-3bf0c1ce5e2a · outbound

This paper cites How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.525895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:88d69b6a7aac78316a3f7c221032e691d2f3d9f51bf45f7e191d0a429b907b37

Observation b8acede3-5901-4def-986c-d939453b88d9 · outbound

This paper cites A Unified MRC Framework for Named Entity Recognition.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition A Unified MRC Framework for Named Entity Recognition

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-22T00:22:10.316572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:904282d56b5f06c1c1afd1137e6f23be276cdfc9f19b5dab4e96bf7154c22935

Observation 10e1a493-1701-46e0-bbcc-746d7d146bb3 · outbound

This paper cites Dice Loss for Data-imbalanced NLP Tasks.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Dice Loss for Data-imbalanced NLP Tasks

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-22T00:22:10.391371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:d56496d2839691f2289eccc5c5bda1b9163b44da269a82ad3dfa22c8861e9d47

Observation a80b8849-822e-4070-bb42-caf9e4aa4a3e · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.718030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:f6a20da8c332253d6c77d1d5fb93f49f35de9471882410abc572395c043315a1

Observation 107b9c70-03de-436a-9ad5-cd709c56a4f5 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 32

Resolution
verified exact
doi, observed 2026-05-23T20:43:24.726511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:a38c7d899ce4b2bdf4ff62ff4e1adeccabc870d3d29865abe79f0948bcb15158

Observation 73f73a44-4a4e-40d9-b774-85e4ab5e79ac · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.711394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:cbd4838339d9b58f34ad559c4e09a5469af914685652d22b838d2a3b661fd800

Observation 9ff7025e-4bb7-43ad-b63e-c2055809fc2c · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 34

Resolution
verified exact
doi, observed 2026-05-23T20:43:24.747233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:488740c798784a43071c371f6a5ff4dc39d8ddcdace4772c2679282b152b290c

Observation 842a69f0-0ab9-40b9-8e38-aa91dac7e66e · outbound

This paper cites A Comprehensive Overview of Large Language Models.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition A Comprehensive Overview of Large Language Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.530933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:607137be2fe5b924fb955dae463417694d4aedaada5ed7b93278492b4c3df2c7

Observation 2bdb1c6c-ae4c-4b5d-8390-057e38b1b556 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.738160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:cdefe23a35768cc3481e0f63a74cfef6da59b957ce68c2764b6cdd9281872883

Observation 71e27b82-ec37-4017-a357-e713908ca3d3 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.745129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:1c699085bf8c299f7e5d944fe8b8cea84756d67393dc94479fce1429d28fe38c

Observation e873e480-72cc-4c08-b3b3-fc06235b324e · outbound

This paper cites In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 38

Resolution
verified exact
doi, observed 2026-05-23T20:43:24.732035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:f569da1bb58fc6df52ae8b2b24ba2a4ec6ea6c509feaa6159fc16fbe6a1a3ded

Observation 463ab2d2-0600-4999-bf90-68f4e6d6fb81 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.771978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:ef2cd78c9d73ed977f991e66c9cbfaeb419b4aad2cd01fa71e0e13b42504d0d9

Observation e2e67802-ef34-4ef3-ad0f-c58622a4c5e3 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.749065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:5868d10005abf593aec5fe674ca3ae11d548db3d28ada5a9b8e9b618ce155171

Observation b6660e1a-39c3-4b5c-b31a-153ff8cd8b21 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.778470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:7736e58c707aa1bc8a66398964a74628d63e3554228ec901c4d1c21949e8bc60

Observation dc2bd9f6-9d68-4550-af58-6372a7f5da46 · outbound

This paper cites Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language Models.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.546448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:5c4862313cc36497f092e1510c5abb633fba8fe926559ce952bbb9ffcccbc436

Observation c5a64383-d4b8-4e1e-bb21-170d2b0f13f3 · outbound

This paper cites Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.461028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:460afec0b7862cf93543af1d1c835a54792b53edcc89ff8faba33424bfc63187

Observation 6e60d7ca-9e72-4544-ac76-3e0d53288b2b · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Gemma: Open Models Based on Gemini Research and Technology

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.450645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:1be6cec0bf64c20d9ca4a8098be19a335ff89392299d5bb9cc45c7780f93cc18

Observation 8e119229-0e27-49ce-bad8-1a7e11d4d51c · outbound

This paper cites Tjong Kim Sang.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Tjong Kim Sang

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:48:25.698132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:124dbd073d0d3c132bbf5cdea4a51b60a81d2a61a48062f472b99ae76ef308c5

Observation 078bcc08-fcf3-48db-b55c-44456536ad5e · outbound

This paper cites Tjong Kim Sang and Fien De Meulder.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Tjong Kim Sang and Fien De Meulder

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:48:25.752280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:e4c3dcd9916068b0c8e67ae3280d806efe60dec909311c7a036e323f49ed5f02

Observation ae2d43c6-3a9b-4fc2-b91d-8b0e08682172 · outbound

This paper cites Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.482806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:94c4c05778ed622b35c6ad2299bb0686f3e2169ebf082a0e9c097a10b05820be

Observation 8d3dad31-72b6-44bf-a9b9-c5cdb2ada6f6 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.775228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:be6472219b0198a7d509dd6d4db84102b9575f87c356cc7caf9d39395332e8dc

Observation 25a71658-4dcc-4af0-9ef6-e1f2e6453f1b · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition GPT-NER: Named Entity Recognition via Large Language Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.456138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:35e44c654b57e421e3ece3bdd004a7992cd849806e419f2c09e21eb5d58f821f

Observation 31073149-180f-4362-999b-b0e0580b4fb3 · outbound

This paper cites Automated Concatenation of Embeddings for Structured Prediction.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Automated Concatenation of Embeddings for Structured Prediction

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.471661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:ed125e68cd4e3eeb099b751a7c877fd72e0bae826cc5546fde2dfed5d0098114

Observation 4514baae-8c54-4f33-8165-fa7f7f45fe5f · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.789216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:d0aa4ea10e5b7759b34209f2cf1b2c47bfa52740bbff249f482105b2900d92bd

Observation 1dc3f521-dfb3-48e8-9eea-1ba230bcaa18 · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.734869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:1b382d196d4242a49c1b758427a62ed108a51d959a7196ba8f76fd302ac03f8a

Observation d0b12caa-1f45-42de-ab0e-440bf3f19065 · outbound

This paper cites Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.477100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:71fc7814015f5266c1103207aa05ec69f14cd8fab97b57014edd41a5965d925e

Observation a676433a-1377-4fab-ba36-b1fcd9f45408 · outbound

This paper cites LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.487855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:cd2ad15ec38286519dfcfd6b7ee8621c59d3483de15211925df4b2c241761cec

Observation 4d9970cd-e340-45d2-985b-11da336e632a · outbound

This paper cites Empirical Study of Zero-Shot NER with ChatGPT.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Empirical Study of Zero-Shot NER with ChatGPT

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.541356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:5e2e274ac8b748ce88b4f78bb04d2f85568e573cd60f0578a90f9f5f6acc5112

Observation 370c9d7f-797e-4841-aaf3-05180e73836d · outbound

This paper cites Named Entity Recognition as Dependency Parsing.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Named Entity Recognition as Dependency Parsing

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.535934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:830ce8bc6ef8252f4a4eadc0e92aa34c91e272a08d658441cad33dce41af3cc4

Observation d8c5656d-3e4e-4b00-9957-64066d82119d · outbound

This paper cites an unresolved cited work.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:48:25.707956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:77cb99ffb4ac6254e33ce4bafa6a5f344a646d2170c312e39bbf38d0f809a077

Observation 6186863a-eb31-4855-8508-a604d7d4e7b5 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Automatic Chain of Thought Prompting in Large Language Models

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:43:25.466406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:42d1135fcdd4cf759fc556ed04e69409a0ab20465f3c8b4b8bf23f002a064fe4

Pith citing papers

Observation e7217ac8-fa1d-4955-be10-6fb7ab2bf127 · inbound

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models cites this paper.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:24:42.191421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.931843Z digest=sha256:b9809c677c3aa883792f93169556fc9ff99cf54bfe58aa4f5fe649310eccdf75