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Paper Citation Record · LEDGER

Improving Vietnamese Legal Document Retrieval using Synthetic Data

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2412.00657.

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

pith.paper-citation-record.v1
2412.00657 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:13:24.851349Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:07:57.362536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:07:57.953064Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation edc18deb-f2ae-4c44-93e5-4a412ac72486 · outbound

This paper cites GPT-4 Technical Report.

Improving Vietnamese Legal Document Retrieval using Synthetic Data GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T05:13:24.097352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:13:24.097352Z digest=sha256:203332fa7b27de29aedc4bf6660bd44c914d30f2ad084582b65ecac535afe7ea

Observation 5f85ebf9-2837-46ec-be1e-b721d3372a64 · outbound

This paper cites an unresolved cited work.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:13:26.093741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e8702ddd-1d74-4aa3-b065-db4f2791eb82 · outbound

This paper cites In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:26.083780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ef5fb67e-177b-49e7-bd5b-0c51b7a2669a · outbound

This paper cites In: Ku, L.W., Martins, A., Srikumar, V.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Ku, L.W., Martins, A., Srikumar, V

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:26.072741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.151740Z digest=sha256:df36fd00d0f786f8c97c38b3fba3f1c48db147f67443c3be595935298e376526

Observation 19c01608-de35-4ebc-b9f0-f4552a9b1090 · outbound

This paper cites an unresolved cited work.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:13:25.991817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ea403463-2ccb-45a3-bcb1-386cdeb37035 · outbound

This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.916061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.170485Z digest=sha256:c82d8906a1f6c48b389326e9d47367ce1db1b452ee9a1752c13eefc6b5d03208

Observation e0f7ceb0-e30e-438a-b201-c10bf8f3e251 · outbound

This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.903773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.180554Z digest=sha256:72980c75a9fb3eaa672dd669c2624a79e1ab3b689f323d4d57a8cde7799d8c86

Observation c94acc7c-a100-429e-95e3-a277f9df501a · outbound

This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.891333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.188820Z digest=sha256:4fb516f61a45ee0b5d127af2ea6f367f8239464779bbb8e4e239b40d212274dc

Observation 2f2da82d-1abb-4400-8b64-c4d3cf4d2713 · outbound

This paper cites an unresolved cited work.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:13:25.877547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.193061Z digest=sha256:ccd0aa77bbd0865b3a02cca9530072c953b0362af99a13b39f1d9e6faff87910

Observation ac549d24-805f-446b-a9cc-34906cbf6385 · outbound

This paper cites https://huggingface.co/keepitreal/ vietnamese-sbert, online; accessed 18 September 2024.

Improving Vietnamese Legal Document Retrieval using Synthetic Data https://huggingface.co/keepitreal/ vietnamese-sbert, online; accessed 18 September 2024

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.860949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.196948Z digest=sha256:1f7226d880f3c915374e75c7c3bb390cfe460fa52e768a390c2f1d7219b3d406

Observation 61b82938-fc46-44f6-bc05-2776a11131cd · outbound

This paper cites In: Proceedings of the 43rd Inter- national ACM SIGIR Conference on Research and Development in Information Retrieval.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceedings of the 43rd Inter- national ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.851399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.290400Z digest=sha256:13b8b55c1223790b75af9a83321f76972cd8374c30a3bc7538222658a9a3f21d

Observation 1aa868ff-a6ee-48a4-8019-1f74e73fde92 · outbound

This paper cites In: Pro- ceedings of the 28th International Conference on Computational Linguistics.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Pro- ceedings of the 28th International Conference on Computational Linguistics

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.804236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.367958Z digest=sha256:26097c11f327cdb60279bf6ee5e33c9a075b24bb76bf0d5d4a7ac3ef4aad16e8

Observation 040ad177-c3cf-4565-9b6c-985df94528b0 · outbound

This paper cites Embedding-based Zero-shot Retrieval through Query Generation.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Embedding-based Zero-shot Retrieval through Query Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T05:13:24.434208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:13:24.434208Z digest=sha256:f45dcedcb6d8cb40a976a986ab274c67577bbb49184cdecabe9d8273e156beea

Observation a808d5ee-6b26-4f52-8854-26548be713b4 · outbound

This paper cites How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval.

Improving Vietnamese Legal Document Retrieval using Synthetic Data How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.743379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.462284Z digest=sha256:9d2a1511c9b51d2c9d0aba134fe748cc4adb92caa4bf1726028e65c29ecab8ed

Observation 8cebab1f-dc6b-4f65-ad3d-2ce6bd3760e3 · outbound

This paper cites Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.582371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.474384Z digest=sha256:952f7b5b5b37b9f00f524875e2c4408a64ebfc3d481c36c8a54395e44ebdfa4c

Observation ea3b0935-fc5e-4f45-af08-a177fe214d77 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T05:13:24.477344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:13:24.477344Z digest=sha256:8959d0a524c8f3383fe79ea223ac5f6c1e05669fa6276a2d9b727518e0657ce8

Observation 7a830a84-2bd3-4775-9f0e-6ab213db371e · outbound

This paper cites In: Besold, T.R., Bordes, A., d’Avila Garcez, A.S., Wayne, G.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Besold, T.R., Bordes, A., d’Avila Garcez, A.S., Wayne, G

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.561942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.483014Z digest=sha256:d6c40a0722b28b75bfd973393f3ae66e66784dc7585a596334d4e24a3e1a2fdd

Observation b093b301-ae5a-4bf7-bdfe-3d9876187605 · outbound

This paper cites Multi-stage Information Retrieval for Vietnamese Legal Texts.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Multi-stage Information Retrieval for Vietnamese Legal Texts

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T05:13:24.490084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:13:24.490084Z digest=sha256:c708a08984ffa0bd2838fe7e51efdcd6e5c2cd89aa28ef43f3d2611d5357e919

Observation 8b3e36f2-a2ab-4052-9be8-b181561be811 · outbound

This paper cites In: Proceedings of the 12th International Symposium on Information and Communication Technology.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceedings of the 12th International Symposium on Information and Communication Technology

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.540529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.494773Z digest=sha256:813f607eb49ab6d53bfbed5d256af64421f3a5823f6549f9581935ce1c6075e3

Observation e71c2b55-8b51-43bf-82e1-8e594f9a340b · outbound

This paper cites arXiv e-prints (Mar 2024).

Improving Vietnamese Legal Document Retrieval using Synthetic Data arXiv e-prints (Mar 2024)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.480982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.499008Z digest=sha256:bca1ab423c2ee4544613770d7c21e6bf30a2a71fa9e9e2b83e288274fe34f257

Observation 8cc61429-7437-449c-b66c-029da35c9b69 · outbound

This paper cites In: Proceedings of the 56th Annual Meeting of the As- sociation for Computational Linguistics (Volume 2: Short Papers).

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceedings of the 56th Annual Meeting of the As- sociation for Computational Linguistics (Volume 2: Short Papers)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.395574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7fadb40d-d392-45e3-b422-caed72771b3d · outbound

This paper cites an unresolved cited work.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:13:25.342918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.506012Z digest=sha256:ad828721abdc316cb852616bc902fe3cd6dc06013dfd69dfb71a9cf23ae6bc60

Observation 278ca90e-8821-4e34-8b56-5a6e7b5b59fd · outbound

This paper cites In: Proceed- ings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Proceed- ings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.330931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.547131Z digest=sha256:bf7f329ba66c38efab99c43b64f68e3ac0e2aa4af8061648c5a74f37469c15fc

Observation f86b2c2d-9577-4c74-b77d-ddff788d8db0 · outbound

This paper cites In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021).

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.306118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.642349Z digest=sha256:e685b714e23d20384ed06fd5dad13eba6cc06980482d2a9f35115d2b0e01b343

Observation 7fc350a7-2973-4782-9a21-33d0edf34ae9 · outbound

This paper cites In: 2022 14th International Conference on Knowledge and Systems Engineering (KSE).

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: 2022 14th International Conference on Knowledge and Systems Engineering (KSE)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.266429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.700924Z digest=sha256:f4b1e3472529b9b408aebadf970ac7a6bd7116382850ffc034dfd84e31a0b35e

Observation e9c06705-e541-4550-aa0a-f81603410e89 · outbound

This paper cites In: Bouamor, H., Pino, J., Bali, K.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Bouamor, H., Pino, J., Bali, K

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.108864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.779904Z digest=sha256:9fdeeb6ac434a94cda94c0c13d507f098182a10ce0452d8a637782c3867be978

Observation f8158604-1ab0-474c-8456-8294d407a34a · outbound

This paper cites In: Ku, L.W., Martins, A., Srikumar, V.

Improving Vietnamese Legal Document Retrieval using Synthetic Data In: Ku, L.W., Martins, A., Srikumar, V

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:24.952620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.803227Z digest=sha256:35253e724d6315c05be2f57b7f9db53ebde27ec81963cb1c17bf5cd0549a8905

Observation f623d0f6-7f44-4083-9066-5489cfbb5027 · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Multilingual E5 Text Embeddings: A Technical Report

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T05:13:24.821251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:13:24.821251Z digest=sha256:98acf364be452bada0f4421714626214509a6d188afb4d14e6c89fa3bd3411cb

Observation 63077f04-49a3-4bb5-b734-80c6ccb815a3 · outbound

This paper cites an unresolved cited work.

Improving Vietnamese Legal Document Retrieval using Synthetic Data Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:13:24.939436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.851349Z digest=sha256:114c10b06a734dcf27d47f74d085758305c60ccaaa08d6bd8ca4c0e60ba957bb

Observation 8a8828e1-9726-409d-89aa-992b763871bb · outbound

This paper cites 6385–6400.

Improving Vietnamese Legal Document Retrieval using Synthetic Data 6385–6400

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:13:25.593830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T05:13:24.471034Z digest=sha256:755a5f08d0a691154806b7c78907204ce7c47b8c64fc5c10e8235dad92481911

Pith citing papers

Observation a0326ebc-2b7a-4bf8-8137-e4d97a50b055 · inbound

Legal Document Summarization: Enhancing Judicial Efficiency through Automation Detection cites this paper.

Legal Document Summarization: Enhancing Judicial Efficiency through Automation Detection Improving Vietnamese Legal Document Retrieval using Synthetic Data

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:07:57.959296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:07:57.362536Z digest=sha256:b438120bb8450c12daf0693d72704e22367cdaa841c7aa12c6a2d46e26486061