Paper Citation Record · LEDGER

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification

As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.11086.

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

pith.paper-citation-record.v1
2507.11086 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:21:32.947731Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

52 of 52 outbound references displayed

verified exact4
verified fuzzy2
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05484589-5af5-48ee-85bf-65c507c4c424 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification , " * write output.state after.block = add.period write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:34.155656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94c66865-6fd4-4fef-ac9d-ebdc11dcc7ad · outbound

This paper cites write newline.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification write newline

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:34.135930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a8c57a5-b21a-4fdd-950e-ddf4f9f30312 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T17:21:32.993778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0480eb97-046b-46eb-ac4c-6e4176c4b711 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:34.119191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 511be4ea-38f4-4c6c-b3dd-17291ae42dd2 · outbound

This paper cites Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.692582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba9f47d-9409-4ec4-81e6-0d0fdc82da0a · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:34.101090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 184f5ee8-0917-478a-a26c-7f6d622c0e12 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:34.083258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e5d7c22-ebc2-455f-bef5-6efbb9faeed3 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:34.065749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50f2181e-f060-41f9-9594-440b1bfcd941 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:34.046534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 601a0ce6-5b00-4004-8467-66718412f6b6 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:34.026946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd026c8b-1904-45fe-a673-26424e62ea2b · outbound

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

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.725148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1018e758-358a-47d4-9708-3e182d72c2ff · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:34.009906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ccb617b4-8070-45e2-bbb2-1cf118579495 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.990945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6184a4ab-a447-4a3a-b5da-8462c5dd30d6 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.972717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 511b4823-07f1-4e7c-bd00-14f5b4c348b7 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.955087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04256d82-7597-407d-b280-e0a465ad3480 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.936478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de22bab2-f4f7-4572-b7e8-f4307dfb17f3 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.754049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e44b4095-6b73-446b-91fa-9dc6e816af68 · outbound

This paper cites Leveraging Large Language Models for Entity Matching.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Leveraging Large Language Models for Entity Matching

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.759228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c454180e-a5d8-43fd-bf09-5cb2ae893b77 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.917572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7d256eb-ee96-480d-8d44-ac05cef367fe · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.898025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db01845a-e300-4c5d-9085-f589f0ccb1f3 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.878555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b56c3c99-60c6-4aa8-95cd-4efc5835bbd3 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.855348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28cf3212-5bd9-4f29-b4e3-9017be8d9caf · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.835371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44ccb2eb-8e19-44ea-b2be-d6c516d3effc · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.814150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c5ee445-aeb9-484f-80fa-ba73a00d8997 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.796042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109f06b2-ec95-49d8-a06e-b4b3bcb98f07 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.793892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f0680f07-1e4e-4484-8403-39706a12ec52 · outbound

This paper cites Deep Entity Matching with Pre-Trained Language Models.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Deep Entity Matching with Pre-Trained Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.806490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c43645-37d3-49d6-9d02-c035d7914b37 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.775887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2baf393f-9f5d-44cc-93ab-755539c6b2c5 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.816909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 827ddee2-733e-4c5c-86b8-c11695a60c98 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.757096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 399191d1-0e09-4c59-a5b9-f32e07066a30 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.738822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dea1d083-f09f-4463-9be8-1ef124608bcf · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.721265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1cdb0bca-0ac5-4ba9-9d0a-9cdafc4fe210 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.701764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d3fcae1-112a-4c7b-9d8b-21cd2050cf28 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.682597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4de1f29a-e7ae-4497-8d70-265460b0f6f7 · outbound

This paper cites A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:21:33.151309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c6c0b008-aff3-4ad4-915c-f781d8128709 · outbound

This paper cites Entity Matching using Large Language Models.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Entity Matching using Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.854374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2287146f-00ce-42c1-a9cc-a21c88050039 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.660774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b5227094-e402-4fe0-b894-3c5f07016381 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.640532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6c6eb5c-08c4-4a4b-a6c8-30527e315b02 · outbound

This paper cites How to Train Data-Efficient LLMs.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification How to Train Data-Efficient LLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.871288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c755047-9540-4013-abb1-3694f8e08d49 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.622232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 008998bd-e4e4-4f4e-9808-b5127789e423 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.599732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2150c1d-0063-4e8c-ab7d-b1e0e034271a · outbound

This paper cites Fine-tuning Large Language Models for Entity Matching.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Fine-tuning Large Language Models for Entity Matching

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:21:33.087960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9fa52a31-f98e-4c11-afc2-a935c0060cb0 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.580159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24c8ff49-b7da-4129-b7b7-53d0552ac514 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.555911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation acdad6b6-96cc-4162-a25a-8f968413a9ab · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.532321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9694008f-9241-4afa-8f39-f62f035eab1a · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.513148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ecc946a-9536-4f22-b85b-402edb3acb8b · outbound

This paper cites Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.916654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d39c7a-2b3f-4dcb-b811-97ac701268f8 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.494960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2425219-04bb-4846-86b3-5adbf661cec9 · outbound

This paper cites Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.928521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43860d08-8b67-4278-8965-2dd3bdadcc1b · outbound

This paper cites AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:21:33.022379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f35451e-6caf-42d0-8a5a-7782ffaa85b6 · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.475451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2cd0ed4-5323-4530-b545-2faca7021a8b · outbound

This paper cites an unresolved cited work.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:21:33.457544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.