Paper Citation Record · LEDGER

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach

As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2608.08636.

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

pith.paper-citation-record.v1
2608.08636 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:36.978123Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

14 of 14 outbound references displayed

verified exact2
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6aa4bb9-e70f-4685-ad45-ffefb18a6cf0 · outbound

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

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach Empirical Study of Zero-Shot NER with ChatGPT

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:36.978123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2540165b-c55a-45db-838d-84f54fd0c728 · outbound

This paper cites CS" represents.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach CS" represents

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:37.174327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 677d5d1c-15b8-4071-bcde-6569425257e8 · outbound

This paper cites -” indicates that the respective values are not reported in the referenced paper. “▲.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach -” indicates that the respective values are not reported in the referenced paper. “▲

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:37.160889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8cec2dd8-cd65-4e8f-968b-00bbbdcb8bd0 · outbound

This paper cites In this section, we discuss the broader implications of our findings and outline the limitations of the study.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach In this section, we discuss the broader implications of our findings and outline the limitations of the study

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:37.119812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37e5dcea-f3aa-498e-a2dd-9c2fb8c46a65 · outbound

This paper cites Please list all scientific entities of [C] in the following text.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach Please list all scientific entities of [C] in the following text

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:37.106114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8206096e-8a62-4537-afe4-6e2de8c33f81 · outbound

This paper cites In summary, our prompt design aligns closely with prior work on LLM-based NER, allowing for fair and meaningful comparisons.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach In summary, our prompt design aligns closely with prior work on LLM-based NER, allowing for fair and meaningful comparisons

Reference 9

Resolution: verified exact; doi, observed 2026-08-14T04:32:37.092634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e4c32af-de26-41c3-8156-314c88a2d59d · outbound

This paper cites For GPT-3.5-turbo and GPT-4, we incorporate ETF and ICL following our proposed method for fair comparison.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach For GPT-3.5-turbo and GPT-4, we incorporate ETF and ICL following our proposed method for fair comparison

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:37.146882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c1cef90-a93a-4b93-bc56-bd7d08ddb42e · outbound

This paper cites Method Avg.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach Method Avg

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:37.133194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53c907bc-e27d-484d-840b-52b1091f01ed · outbound

This paper cites an unresolved cited work.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:32:37.186730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f695edb-a416-4e91-ae29-53ab654e9038 · outbound

This paper cites Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:36.968545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1de3573-5f2a-4f2e-a6a2-eb0727da816b · outbound

This paper cites S., Ceder, G., Persson, K.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach S., Ceder, G., Persson, K

Reference 368

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:36.954846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4262f512-ed21-4748-b880-fedc14a0abed · outbound

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

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1418

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:36.959200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fad1384-0c5e-484b-bc7b-893321d88d8b · outbound

This paper cites InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER.

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER

Reference 1569

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:36.973396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f27da8-313d-4c2a-a556-308529380f16 · outbound

This paper cites 16251-16262).

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach 16251-16262)

Reference 2024

Resolution: verified exact; doi, observed 2026-08-14T04:32:37.076018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.