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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

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

source=arxiv_source observed=2026-08-06T17:21:32.668647Z digest=sha256:78cb1f80b24a939c0ef5c7288d06f289d02209f1af8a8af0f57fb663904078a0

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

source=arxiv_source observed=2026-08-06T17:21:32.674894Z digest=sha256:1b15066c80f2e73f8d68aed598b9a35296e8fd1ffdda007505808835aa3e1078

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

source=arxiv_source observed=2026-08-06T17:21:32.681451Z digest=sha256:f5a92d434d2a0d60859a39a63761433e735a9d4229a545bee7018cfa4b82e5b0

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

source=arxiv_source observed=2026-08-06T17:21:32.687118Z digest=sha256:67f8ccf793bd5e4e5c9e863e4a7976b052524364c23388aeac4c78ef86ee7277

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.

source=arxiv_source observed=2026-08-06T17:21:32.692582Z digest=sha256:7588e2bafd6f69307b87f560ed6ac5db402df7cceafcbeeb907f863a2d97be11

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

source=arxiv_source observed=2026-08-06T17:21:32.697805Z digest=sha256:413806242d9ac6a08c3b4ed15bb12b8a7bed0ef6639e77bba7ffbe6c84b93fad

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

source=arxiv_source observed=2026-08-06T17:21:32.703523Z digest=sha256:57eb6809427adc63d8dbcd761ad442b109562c3a6e5fd79fee5c2b403da88113

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

source=arxiv_source observed=2026-08-06T17:21:32.708958Z digest=sha256:ab6c98ab37066d9438f88ba6d7e91c6ea3a22808b697568fb02be0625572d776

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

source=arxiv_source observed=2026-08-06T17:21:32.714157Z digest=sha256:88f12f3cba9fd920aef8eb93f9d09c0f8977f429b6e5983c9ba162665458232e

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

source=arxiv_source observed=2026-08-06T17:21:32.719811Z digest=sha256:dd57c1c5b3ca940286396ca7044785a422a4de712f50181c9d1f58111d121683

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.

source=arxiv_source observed=2026-08-06T17:21:32.725148Z digest=sha256:930cd5fa7215fe936fe2e06a1ab5b52d081c6841b40a59f2188f52bab1803368

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

source=arxiv_source observed=2026-08-06T17:21:32.730858Z digest=sha256:23fe83a64e9013843b27d4526eff2a1eafb2cd049e43e5e3002e0ec95234260b

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

source=arxiv_source observed=2026-08-06T17:21:32.735493Z digest=sha256:518c4d245b22a3d46262d95cf862978dc30b80c174e2332d6b1ffe9ba1eac423

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

source=arxiv_source observed=2026-08-06T17:21:32.740156Z digest=sha256:264e6255e41f2270cf2bfb338c17cd92817b9636f5488fa431afbdccc4426cb3

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

source=arxiv_source observed=2026-08-06T17:21:32.744497Z digest=sha256:c625999c52d842ee9aa59466bebc7286ec6524905d75801f7b8a3036ce9d4a33

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

source=arxiv_source observed=2026-08-06T17:21:32.749563Z digest=sha256:456e1c5f7fee463b9c37e3e3114cfb744b7094ea92bca99d90f37740f9fd2959

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.

source=arxiv_source observed=2026-08-06T17:21:32.754049Z digest=sha256:d6be445b3c8a3f76f1ee54bcc5b89e02ec18b8d37dc9930dcd51e17a18c6724f

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.

source=arxiv_source observed=2026-08-06T17:21:32.759228Z digest=sha256:9207450a2fb054179a8f18d52e11e6cca3de2966cabfe8dc7360183f78970a06

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

source=arxiv_source observed=2026-08-06T17:21:32.765230Z digest=sha256:fb7c8a7dd6eff0d777558c6bda91323ef020dcefc555d644f88f5e58f8a0222d

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

source=arxiv_source observed=2026-08-06T17:21:32.770463Z digest=sha256:79574345af3fdab18115fce9d5b93a7d8c3aa437f6ddc830aafe72f8041f18c1

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

source=arxiv_source observed=2026-08-06T17:21:32.776104Z digest=sha256:5f179101ed2804ef6a963c7e08336fa3a17abce3dcb5bba8204437c2042e749a

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

source=arxiv_source observed=2026-08-06T17:21:32.780572Z digest=sha256:d876007e47e183059bc57926d24c9255823f0167805f68897798bd1f7356f1b3

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

source=arxiv_source observed=2026-08-06T17:21:32.785775Z digest=sha256:05f83ce4110bb49ec59743ce9951c428dd183e73635129092f13f0dc6e377006

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

source=arxiv_source observed=2026-08-06T17:21:32.790694Z digest=sha256:ee75c67158ad30ff6a77b010cdc564cfdda55c90ee0ef3ff7a41f9e7d67c78d3

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.

source=arxiv_source observed=2026-08-06T17:21:32.796042Z digest=sha256:9c46e3f5ff8d032367d96f7acffdf2f2839207039432970ae837f308bd45f9d9

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

source=arxiv_source observed=2026-08-06T17:21:32.801165Z digest=sha256:daf3d9444c285064013cb8e92cc0585674019919e6b9fcbef71fe9c7275a0552

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.

source=arxiv_source observed=2026-08-06T17:21:32.806490Z digest=sha256:6729246041779e943418aa2fda36e3bf55358a3525b0f824390aef7dff0f8203

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

source=arxiv_source observed=2026-08-06T17:21:32.811704Z digest=sha256:0798b7a0f3827eddc213a50a4774f77fd90f35fb56b84060478e4847809992e8

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.

source=arxiv_source observed=2026-08-06T17:21:32.816909Z digest=sha256:a163585acf72eb2f2aa263dc2939100e3ecadc77a38c3872a4c482cece0287cd

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

source=arxiv_source observed=2026-08-06T17:21:32.822282Z digest=sha256:27a95137c68c3c324eed9fa8a0c804d5672ec2d57093560dee47cd9761443581

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

source=arxiv_source observed=2026-08-06T17:21:32.827073Z digest=sha256:dac19a260011c2386dee96bbf1c7dc7f16991299fd084f090b95b84a75f2d98b

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

source=arxiv_source observed=2026-08-06T17:21:32.832723Z digest=sha256:32385e1a902d74599eb98029ee530fc82d7090c4ff698619f891e22f3c8d3465

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

source=arxiv_source observed=2026-08-06T17:21:32.838050Z digest=sha256:0bf8333c329f72cb76046dec4505b45d91060d712c754588a6183289faf65b5c

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

source=arxiv_source observed=2026-08-06T17:21:32.842939Z digest=sha256:d56209a358379d43af9848d52da863479c44e51cf99582a326cddd51800a6d36

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

source=arxiv_source observed=2026-08-06T17:21:32.848056Z digest=sha256:87625eefc67f6af98a5b28e649c083d087567a070ab365697258c8c5f1e83b28

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.

source=arxiv_source observed=2026-08-06T17:21:32.854374Z digest=sha256:ff5c0d390cb95d84d3bcd39e761daaf6f361aa93d976bb84609e54d0a1f50db1

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

source=arxiv_source observed=2026-08-06T17:21:32.860698Z digest=sha256:2311d81740d0fc5466a036e65c842b5853a5b5918af7791a74cdf074c99daea5

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

source=arxiv_source observed=2026-08-06T17:21:32.865711Z digest=sha256:52220bf8a7bef1ddc352f3146cb38d76b45cb4eebd4fbc293b00c60e48d74cce

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.

source=arxiv_source observed=2026-08-06T17:21:32.871288Z digest=sha256:8da471cec29c91c63af8a2a184cf8ef026090178c192b815b3023db8f53ef9d0

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

source=arxiv_source observed=2026-08-06T17:21:32.876471Z digest=sha256:4e5e389c64e242a50238faf6345d7ebef26dd49d86ae749d8f295739d1d688f3

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

source=arxiv_source observed=2026-08-06T17:21:32.881577Z digest=sha256:5e637f649ba1f8f5a0ef8d219ca3aa3f462800451a399058d207448aeba88ed2

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

source=arxiv_source observed=2026-08-06T17:21:32.887536Z digest=sha256:04c4bdc3621bf01a1bc12c5336ac98a992d895872ab91e04bbefabb49109b505

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

source=arxiv_source observed=2026-08-06T17:21:32.893129Z digest=sha256:37c89cef22b68b7613e9f93477295d08b0f9647c3a7dc7209f572428363b3bc9

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

source=arxiv_source observed=2026-08-06T17:21:32.899063Z digest=sha256:91ec20cb4b65f1e693a89e4018cddee821d6a8e060ca7b7d77a06f7962202156

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

source=arxiv_source observed=2026-08-06T17:21:32.905357Z digest=sha256:85f9d5610da9c5aa26ccf7715a16bf2635609256386826cac5888531edb17082

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

source=arxiv_source observed=2026-08-06T17:21:32.910903Z digest=sha256:6200e126a0b2a74b4a7c27712c0a4145935eb2fab513c1218c02ac0d0f36b21d

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.

source=arxiv_source observed=2026-08-06T17:21:32.916654Z digest=sha256:15fe93b9f0cd9957228a200d459184f58cb2534a38e79843431f72aacc2936e2

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

source=arxiv_source observed=2026-08-06T17:21:32.922993Z digest=sha256:d1b3fb498d2ceb26701b07e949ab5eaa81effda8585fee71f1ad28549fcae56a

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.

source=arxiv_source observed=2026-08-06T17:21:32.928521Z digest=sha256:d6d146621397a2cec94743b7d4f773b2a04b474cb0b99ad96a8dd8238aff8f69

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

source=arxiv_source observed=2026-08-06T17:21:32.934237Z digest=sha256:e44ef8956b1ee7b2087323c8600edaf411428c68246accb58aee33d4fc78eb10

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

source=arxiv_source observed=2026-08-06T17:21:32.940597Z digest=sha256:584dfe7ab45c9de32acf82c82bfee44bbf261180db43eb6612f0f1c69b94758b

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

source=arxiv_source observed=2026-08-06T17:21:32.947731Z digest=sha256:cce33102341d96a958d8d4aa5d5efe2dd591797cd5eee2757b261860683ddc41

Pith citing papers

No inbound Pith citation observations are available.