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Paper Citation Record · LEDGER

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2604.12744.

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

pith.paper-citation-record.v1
2604.12744 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:17:48.729436Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:17:48.729436Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T10:51:03.243458Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact5
  • verified fuzzy5
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2deaf273-be1c-4c14-ad4a-f562007c743f · outbound

This paper cites Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T10:51:03.250359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:8964eefb0210baecffd117c980ea44555836505edf675d2402d1f075ba5cc203

Observation 7d8216a6-f869-4b68-8f64-0edb47291d03 · outbound

This paper cites an unresolved cited work.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.264599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:637a84a3deba53385f873039ede706b06b2de8e81cdf2a9cb998b39c6135c85a

Observation 4e41028e-3b5c-49cd-974b-e455de9da676 · outbound

This paper cites an unresolved cited work.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.274905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:af0ba257414e2996962aa849baf1b5ebedcbca14b7dfa859efe8b08d552df941

Observation 3527dc02-2bac-4282-a1ad-bbd08bd8cdd8 · outbound

This paper cites This updated version of UNER also incorporates minor anno- tation fixes for some existing datasets originally released in v1 (namely, English’sEWT and PUD).

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark This updated version of UNER also incorporates minor anno- tation fixes for some existing datasets originally released in v1 (namely, English’sEWT and PUD)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.261584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:e11e3640a31cc546aeb5b7c1225df658257667b88ba6bca7d440fa9402ae6c17

Observation 348bcbcc-417e-42cc-af8a-754d16697f9c · outbound

This paper cites an unresolved cited work.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.271959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:9d1fb19d62f5f8ca809ca0ffbbac25179bb59e1f099c2c739383cd93cb21878f

Observation 2d771887-03a8-490c-9a1a-dc7a8937d6a0 · outbound

This paper cites an unresolved cited work.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.278367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:70da5cdadcb32c86c2112455b27b3c387aac7a39baa5e98e4efe749749ac5c03

Observation 1f042f49-7a4c-4b67-8d5c-99979d43f49b · outbound

This paper cites an unresolved cited work.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.268263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:1b80362e90b69ad00e89a466237efedb706db5d945621ee2a11d8e79d063aea5

Observation f2f8eff8-224f-4b3d-a1f8-a4b1484a6ba2 · outbound

This paper cites an unresolved cited work.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.297832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:04083b3d738b0c625a53a5e93c3154e1d91bfb4359a813e889838be57ed0b686

Observation 9eb1b588-827d-4b89-9c4f-e4905bf922b2 · outbound

This paper cites an unresolved cited work.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Unresolved cited work

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.206100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:338d80c1aff310af732d11780afa8c6f287adf5ac6aac7963eb1705422613460

Observation 28d706ec-aa30-41db-9379-e14490877bbf · outbound

This paper cites Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit Crabbé, and Etienne Bernard.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit Crabbé, and Etienne Bernard

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.294551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:4a34eaa05cafaf82191a11ca0d05745dc91aaf081b6e5560c30c32fb65984890

Observation d29cbfb2-2b9c-48e8-ba4a-81b46363d87a · outbound

This paper cites Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.221362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:e55ebcaa8578194fb0c0e09b506156f8baf2a53769bc38aaf771e150a7f5d3ec

Observation 3667fd6e-fa7f-4072-b3e4-4ed7e7bd0f17 · outbound

This paper cites Marie-Catherine de Marneffe, Christopher D.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Marie-Catherine de Marneffe, Christopher D

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.282332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:bffa04ee46e7a2a4ee85b7ff3d7f24bfa3c6200d615b08d80247a709bcfeb56b

Observation 6c60911b-2bb3-4f43-9639-0f63e79bd196 · outbound

This paper cites InProceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, pages 33–38, Valencia, Spain.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark InProceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, pages 33–38, Valencia, Spain

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.290331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:5f1d7f35f9faab522fb266e80f799c5aa380f14859140244b23ca9f90eb2c34e

Observation 974d723e-5060-4be5-b18b-68754db8bf5c · outbound

This paper cites InProceedings of the 63rd Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers), pages 29866–29883, Vienna, Austria.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark InProceedings of the 63rd Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers), pages 29866–29883, Vienna, Austria

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.212511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:5db4964aa8a8b0e72551a233de53219afaec30ce6690d279b7d16c9ae6fdb049

Observation 6b46132c-28c0-4205-b60a-4141ddfd2261 · outbound

This paper cites NameTag 3: A Tool and a Service for Multilingual/Multitagset NER.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark NameTag 3: A Tool and a Service for Multilingual/Multitagset NER

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.228999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:7713af1c5848fbf19858346dcd50025b2f915b188501e55dce804dd436de7989

Observation 4c3b7eb5-c22c-435b-be1c-bf483ba9d770 · outbound

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

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark GPT-NER: Named Entity Recognition via Large Language Models

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.240169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:4c9a2b7173963bbf147201ce02d2ef22d050d45737873b5d17920fb2d0557e62

Observation ccf424c3-81be-4569-b684-bd56d403194f · outbound

This paper cites Technical report, Centre for Language Resources and Technologies (CJVT), University of Ljubljana.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Technical report, Centre for Language Resources and Technologies (CJVT), University of Ljubljana

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.286312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:fb578b348844e6dfab10295b17395630cd46b5c4ca7be42f78399e9a6cb6e594

Pith citing papers

Observation 2deaf273-be1c-4c14-ad4a-f562007c743f · inbound

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark cites this paper.

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T10:51:03.250359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:48.729436Z digest=sha256:8964eefb0210baecffd117c980ea44555836505edf675d2402d1f075ba5cc203