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Paper Citation Record · LEDGER

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.19128.

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

pith.paper-citation-record.v1
2505.19128 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:41.989325Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

33 of 33 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de05b1a4-6127-46b4-adef-0654d081f324 · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-08-07T14:24:41.855979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.855979Z digest=sha256:1baedee64ca139ffca7d83901972a647067d28a60ff7745135df9c92d38cf1a7

Observation 442500bc-c9c4-41de-885a-38f17be8030f · outbound

This paper cites PromptNER: Prompting For Named Entity Recognition.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models PromptNER: Prompting For Named Entity Recognition

Reference 2

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unresolved
no resolver link, observed 2026-08-07T14:24:41.860697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.860697Z digest=sha256:974fffbc7eaa887cfb95aa85822a49e10477fe38915692e0661b9ae11d62e6d0

Observation 2efcdb27-183e-4d38-9bef-4d4d6bd073d9 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 3

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unresolved
no resolver link, observed 2026-08-07T14:24:41.865094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.865094Z digest=sha256:8203ebead84d0c7365edb85af62935e8f0f2d7dda7a14d84d64ac147bc8acb60

Observation 354ebfe8-3de7-4a17-8e2c-60031fda924e · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-07T14:24:42.571909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.869843Z digest=sha256:2f34ba47e1305ef08d9c53d31bc70870420faaacc438d4e553245f3dc2ad20c1

Observation 95ac317a-f21e-4430-a946-502d773060e2 · outbound

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

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unsupervised Cross-lingual Representation Learning at Scale

Reference 5

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unresolved
no resolver link, observed 2026-08-07T14:24:41.874107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.874107Z digest=sha256:3c6929dd89051abd3e19c7f400ef68662cb018fad6ed99ab5555f303d1a214f3

Observation 534620cc-0a8e-482f-b90c-aec7eedffa2b · outbound

This paper cites The Llama 3 Herd of Models.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models The Llama 3 Herd of Models

Reference 6

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unresolved
no resolver link, observed 2026-08-07T14:24:41.878348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.878348Z digest=sha256:57fa81803c8481ec5363564c4be7cb1caa9123af3fa876c064b84b1616ce9e2e

Observation 71bddc4f-5e3c-4d9e-aa3b-3579fb3fbc3d · outbound

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

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

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unresolved
no resolver link, observed 2026-08-07T14:24:41.882772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.882772Z digest=sha256:8a53105b5543b8c37149c1049741eb465b9541727b0f219b8d116a0528c88036

Observation f17e75b3-1d0c-4097-b87c-b267c7b8d6ae · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-07T14:24:42.558585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.887059Z digest=sha256:bb60ab568f9bd7363b0952fb519d52960f2e894ffadc7c037b69a800aa6f2a84

Observation 0a3eb3a0-5c39-475e-b3fd-77caaa4c6ef6 · outbound

This paper cites P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:24:42.286478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.891321Z digest=sha256:5263869e34d308d1d5b9449ce969d4a4d8dbe57a49b04d6356c94def902cd13f

Observation a7d0dab5-992e-4394-9059-dd2e238c29d3 · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:24:42.544329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.895518Z digest=sha256:7bd6abb79d1a22dfd489ee2e854287709605aeacba9457537f6b0f75f3e733e4

Observation 641143dc-5c41-4c9d-b0f4-0e9e26f7c8d1 · outbound

This paper cites UnifiedQA: Crossing Format Boundaries With a Single QA System.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models UnifiedQA: Crossing Format Boundaries With a Single QA System

Reference 11

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unresolved
no resolver link, observed 2026-08-07T14:24:41.899311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.899311Z digest=sha256:c6965ebb48434a11a37f5b4df4ef799564bef696a656284c8a7e962034c2754c

Observation 29cbff16-584e-439f-be65-b3df74541b2a · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 12

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unresolved
no resolver link, observed 2026-08-07T14:24:41.903688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.903688Z digest=sha256:4f684897aa99af10bf0cb9d5bb604551a16fb7c394ae403cd22e7afd655908bf

Observation eee3f265-0221-4ca6-bf22-51217ef7c151 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 13

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unresolved
no resolver link, observed 2026-08-07T14:24:41.907713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.907713Z digest=sha256:fa41db45e3798e66493bed7c7263f60d4b29d800ef2de9261d0c35b3320aaf4e

Observation 8765c390-d529-40a6-aed6-52dfefa09c12 · outbound

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

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 14

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unresolved
no resolver link, observed 2026-08-07T14:24:41.911933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.911933Z digest=sha256:3513d18fe2197581e356b06d50de2cd862e7fd82793daf47f2195af32686c3c0

Observation 20bb6c7c-862e-4b0c-8e11-db2e2281f7ba · outbound

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

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Dice Loss for Data-imbalanced NLP Tasks

Reference 15

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unresolved
no resolver link, observed 2026-08-07T14:24:41.915763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.915763Z digest=sha256:04a8cd76ee8915c18fdd4554cabe54bb1f6f43fb9891d896d27e7ffb8c1c6759

Observation 0e11b69b-6801-498c-a7c2-3aebac4d0f2f · outbound

This paper cites Label Supervised LLaMA Finetuning.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Label Supervised LLaMA Finetuning

Reference 16

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unresolved
no resolver link, observed 2026-08-07T14:24:41.919754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.919754Z digest=sha256:e0c31f349add2df4e1526d0a5e9c7a96b90517630ed18ed897a720c5f943ccfc

Observation 6754bc6d-b722-427f-adc3-09bcdee211f7 · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-07T14:24:41.923969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.923969Z digest=sha256:fb7676d2604f4effaedc9aa6b091d4ac296ec6ecbe636ee6bd3090ca693b1256

Observation 0aca9cc8-39d9-4683-b654-9ea7ab869fb1 · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:24:42.512680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.927932Z digest=sha256:f5dcf828db1e56fb65598aacd26e9abf76d616375a0c1ba317cc7d6440d3017b

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

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

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.931843Z digest=sha256:11d6d0c45f2df206604d1a03805c6b2db4b47b42a69e1db008f591f50ae278b3

Observation 2b1ed745-824a-408a-b66c-2096f9096090 · outbound

This paper cites MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition

Reference 20

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unresolved
no resolver link, observed 2026-08-07T14:24:41.936027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.936027Z digest=sha256:ea5c5c8696d2890c0f02671604c602c130ac0ef0e5984bdab14edae3b9d009af

Observation 433542a5-62a7-40d0-b13d-975a25a24282 · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 21

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unresolved
no resolver link, observed 2026-08-07T14:24:41.940143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.940143Z digest=sha256:767a6f84d6d10834e2bb66c62883d46d194d46c24c2a502e38ab95ef2a31074b

Observation c2426e96-bbef-4e2c-a187-55efee71a0c4 · outbound

This paper cites DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:24:42.154300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.944333Z digest=sha256:785c9d60899010421b114201ad6ba8796ea7d7074f089313177518fc4e286106

Observation 431e2b81-1914-457f-a54a-34fd523c4696 · outbound

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

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models GPT-NER: Named Entity Recognition via Large Language Models

Reference 23

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unresolved
no resolver link, observed 2026-08-07T14:24:41.948632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.948632Z digest=sha256:3e56f15a99c360754290b4a8c601e36ef0772490fbcd64bb0900ab5ce2df486b

Observation aa970df9-c309-43c4-bf51-834242ca9fba · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 24

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unresolved
no resolver link, observed 2026-08-07T14:24:41.952671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.952671Z digest=sha256:467b0309e41e43e899c10fb116505bf0f72d7643f5e486552d1d79f9768903eb

Observation 7b536ebe-23a3-4559-839a-c61d53d40f2c · outbound

This paper cites Batched Low-Rank Adaptation of Foundation Models.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Batched Low-Rank Adaptation of Foundation Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:41.957127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.957127Z digest=sha256:853400ccf4db43323e264e397bb96888fdf53a2591376501057e23c7669e32db

Observation 2e0d6274-9daf-431b-830c-d95f0762de66 · outbound

This paper cites NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:24:42.084746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.961584Z digest=sha256:a644eb3a3b160e2c385abeaaf277be916f89f5df654967fd2f15306a52f56016

Observation dd74d37c-9724-4731-9b7d-d3b45cad0476 · outbound

This paper cites Qwen2.5 Technical Report.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Qwen2.5 Technical Report

Reference 27

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unresolved
no resolver link, observed 2026-08-07T14:24:41.965526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.965526Z digest=sha256:8e7930d44176e7801135f77b93117c905e0183d26dc4c11b71811c7249f3a758

Observation 265bcab5-caa9-4022-9187-8e01ed650a09 · outbound

This paper cites GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:41.969609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.969609Z digest=sha256:7e8b64b8f552dca9967d38d76c33738747cc5a2cfff55c6a80fe620497b38e0e

Observation cfcc1805-e336-4c77-bd26-8d04d6d7b9b8 · outbound

This paper cites LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:41.973449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.973449Z digest=sha256:52b378b094ab2617ba7d4b91c6353717f17ca07ce64a9a5cf5707db9901a56c7

Observation dbd80131-8ccb-4186-8e6c-a4b2a8f12afe · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:24:42.490626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.977466Z digest=sha256:28e25434cdeab6b186653a4116d8a30e20ae6d0805ffaef5a42c549cc15de965

Observation c843aed5-5eb9-41df-b02b-8eec71875f33 · outbound

This paper cites an unresolved cited work.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-07T14:24:42.476559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:24:41.981631Z digest=sha256:972d61bc2d06dcceaa2a1c2e021ed467f295510ff516c9382271d5d189f63035

Observation 384bf3ae-fc30-41d1-9e08-972c3379e006 · outbound

This paper cites online" 'onlinestring :=.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models online" 'onlinestring :=

Reference 32

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unresolved
no resolver link, observed 2026-08-07T14:24:41.985237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.985237Z digest=sha256:ec67541ea52a306496e7bdb5971a5203741157927a071bffa3df4db83da4d24d

Observation cedc6468-11a7-4008-a6af-a589ac754c19 · outbound

This paper cites write newline.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models write newline

Reference 33

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unresolved
no resolver link, observed 2026-08-07T14:24:41.989325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.989325Z digest=sha256:683410975ef01ace360a35b5b8474f7762f7889730b81967eb180753cdc04390

Pith citing papers

No inbound Pith citation observations are available.