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Paper Citation Record · LEDGER

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval

As of 13 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2412.13205.

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

pith.paper-citation-record.v1
2412.13205 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:38:32.809637Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:50:01.067201Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:50:01.193567Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved43
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07e4cac6-d25c-4f53-b68b-04047c05f3ad · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 1

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source=arxiv_source observed=2026-08-11T23:38:31.036787Z digest=sha256:29dce27c8baf5d90978f2b94a01f29ce5c85e36ef3fd53fa4e92470a9c760da1

Observation 00eda8e3-e3d5-457b-a26f-7a087235c6bf · outbound

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

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , " * write output.state after.block = add.period write newline

Reference 2

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source=arxiv_source observed=2026-08-11T23:38:31.079699Z digest=sha256:70b5970496c1a7e863de3974a80f61b566874a6a6820bc862394d9a49cbe991f

Observation 851584f6-59d4-469f-9dba-b565b24f046f · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 3

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source=arxiv_source observed=2026-08-11T23:38:31.205362Z digest=sha256:ad32a107af227800c9f73f70aa8a234d4288fd9e99971777647023f34f3db707

Observation 4c0bddc5-052b-4a1c-9736-58b780abcb34 · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 4

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source=arxiv_source observed=2026-08-11T23:38:31.253301Z digest=sha256:be7832938c0976ddad28258f08e6f70259b69399976bed0ca0c0d6cc0b5dc3f4

Observation 98943fb2-55d4-4330-8826-d5e5abeaa0de · outbound

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

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , " * write output.state after.block = add.period write newline

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.257305Z digest=sha256:ebfe94a74e06820905d7cce4d83072407c675f6019726455c6a5f2038cf564a2

Observation e0486a7e-ab5e-40fd-a0d3-c0929943fe5c · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 6

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source=arxiv_source observed=2026-08-11T23:38:31.261661Z digest=sha256:5d964cae36f21e0fa601b3c29ff830e388c55ae074cb1a9d0a7aa887fdc4c2b0

Observation b14e6de6-97d8-4afa-834b-dea43016377e · outbound

This paper cites Available from:.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Available from:

Reference 7

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source=arxiv_source observed=2026-08-11T23:38:31.265930Z digest=sha256:bd4824b35db61787d01c360e612eafb5ab2824499a6ecedaecd81bda8358264e

Observation 26dc154d-f793-469e-b9ca-c8d98acbe465 · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 8

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source=arxiv_source observed=2026-08-11T23:38:31.269927Z digest=sha256:b8b7d5d51258c196be85b43f09a43122377d9575677e605368dc110e9223fd94

Observation b8290670-bc3a-4d24-82a4-2ccb597dec77 · outbound

This paper cites GPT-4 Technical Report.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval GPT-4 Technical Report

Reference 9

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source=arxiv_source observed=2026-08-11T23:38:31.274138Z digest=sha256:213f62baa2082549995b4445db2142400ac8edf76d33f4958369a50ad1613708

Observation 8d809202-ec42-4e01-b373-08531bda83ab · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval On the Opportunities and Risks of Foundation Models

Reference 11

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source=arxiv_source observed=2026-08-11T23:38:31.284357Z digest=sha256:d4a5f81b49c2ccfe93ea0f4d6e0a19b1da8fc57f3e51329a96ac4ffa9c402796

Observation 1fb404a7-0bbe-481e-b4fb-91e094c09d05 · outbound

This paper cites Large-Scale Multi-Label Text Classification on EU Legislation.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Large-Scale Multi-Label Text Classification on EU Legislation

Reference 12

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source=arxiv_source observed=2026-08-11T23:38:31.289005Z digest=sha256:dd8363544a3db16cf905e2f1550a6e5e575efa195112e025a48ee7f6a552bfee

Observation 92f7a53b-a91b-40fe-8fd3-2a6f8e4e74f6 · outbound

This paper cites , Fisch , A.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Fisch , A

Reference 13

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source=arxiv_source observed=2026-08-11T23:38:31.293774Z digest=sha256:5f7f766f818921bc2cbcf196a39f64415e55c8aa5b0674a8db544d67b8d4035f

Observation a090cf3c-a230-4bd8-858e-d0bd4da4915b · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Unsupervised Cross-lingual Representation Learning at Scale

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.298458Z digest=sha256:159bc1c1f7ac12061952ed9d294ca0116f62adc3598dddbddc4a461768e54ca7

Observation 04a11394-baf4-4da1-ae2c-1c5369ec3ad2 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 15

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source=arxiv_source observed=2026-08-11T23:38:31.302881Z digest=sha256:a1c7f3b603bda8471d0203d99167427d249c7231c56ece3d0192c935a6b12cc3

Observation afad469c-7db1-4cfd-b86d-34115373e2a1 · outbound

This paper cites , Chang , M.-W.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Chang , M.-W

Reference 16

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source=arxiv_source observed=2026-08-11T23:38:31.307706Z digest=sha256:8ba97343d427f5d7cea6ef3f2edd6891b407687fb2eb27d579778722631de0a5

Observation 3cc1f216-3d64-481a-b237-9842a365b286 · outbound

This paper cites , Dumais , S.T.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Dumais , S.T

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-11T23:38:34.139338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.311828Z digest=sha256:94b3d23aa7c7447b4b54906d0e059da7e50ea2eddec791d78a9a6a27d213c52d

Observation 753a73d5-4aa5-49d7-9155-b72bb1cf9ad8 · outbound

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

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 18

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source=arxiv_source observed=2026-08-11T23:38:31.316012Z digest=sha256:86bcfc036071db9fabecd044d1487e5af6410e8f2c4d5263b37c609e099f0513

Observation dc45e11f-e8d1-4fc3-b57f-90b656df9f91 · outbound

This paper cites , Du , J.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Du , J

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:34.129485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.334537Z digest=sha256:74d622055d180ba11e64b84a2c7e635d93d25701f63724f8b3c6ae64817e8e00

Observation 7519b17c-6622-4e0e-8c00-b4e73aa5f6e6 · outbound

This paper cites Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.359066Z digest=sha256:e7970ed48d95dd3427807fd28db9e4ef637a86912627668196cfecc896386596

Observation 81ac1924-2cb2-4685-a1a9-8a911d55ddd9 · outbound

This paper cites , Callan , J.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Callan , J

Reference 21

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source=arxiv_source observed=2026-08-11T23:38:31.477593Z digest=sha256:4b6b138b1a47a5046a307384a1590795e9572d79a8f3596281d03f6873d11430

Observation 8eaffb0b-d3d7-4ec0-97e4-874117d98f68 · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 22

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source=arxiv_source observed=2026-08-11T23:38:31.614509Z digest=sha256:c6441111072b7841d4c06d676aa90bf3178492e187e79a591ef9eed6339d10cd

Observation ab063b0b-68a7-47f3-b0e7-b307a8e73c23 · outbound

This paper cites : An overview of the japanese legal system.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval : An overview of the japanese legal system

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T23:38:34.119155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.715004Z digest=sha256:482349553007e2582dc88c3dab2ea4a9d0bad9df6951593deacb4130c31adca4

Observation 2479399c-f06c-4cd4-96af-2765af4d6946 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval LoRA: Low-Rank Adaptation of Large Language Models

Reference 24

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source=arxiv_source observed=2026-08-11T23:38:31.732551Z digest=sha256:82a764ef6ef8ca2496d631b42be00228c2f56178f150dba755879e25e36addb7

Observation eb5aefe5-c461-42f0-95a7-2d01e2b72985 · outbound

This paper cites , Shin , A.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Shin , A

Reference 25

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raw_fallback, observed 2026-08-11T23:38:34.108076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.746598Z digest=sha256:7948a8454565b52b4131865c9135c20455391ee7ac2d4d016126b1a6bad881bf

Observation 1dc0cfcf-1521-4784-9853-e5ef137f5e25 · outbound

This paper cites , Oguz , B.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Oguz , B

Reference 26

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source=arxiv_source observed=2026-08-11T23:38:31.750000Z digest=sha256:97f6d8aa70bb4d343e450ed7d0ce46fbd48060d774023f2ad6c7136b53c346f1

Observation dab43bd0-292d-42a8-a558-42894598d0fd · outbound

This paper cites , Abrego , G.H.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Abrego , G.H

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T23:38:34.096844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.754140Z digest=sha256:7bff903a6fd0bb26d1769803c20802bb6422aa987d3a6ae702659b4431ea8897

Observation 7e74bf8a-d2fa-4574-95fc-97717e05f647 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 28

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source=arxiv_source observed=2026-08-11T23:38:31.758002Z digest=sha256:d97a2e3baaf0a9f69d4eac5d3fed3e94c5b4d84cbc1115f9d7b67ca3ef1dae14

Observation 091899d9-3fcf-46ff-9817-58cc739708fc · outbound

This paper cites , Liu , Z.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Liu , Z

Reference 29

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source=arxiv_source observed=2026-08-11T23:38:31.762511Z digest=sha256:8eaa7a3d69b495c1a8c425a33d6111d52dd50bc094c6e355ac628ce8701924ca

Observation 7c5ed5b6-19ed-4051-a9de-d15ea4750522 · outbound

This paper cites u ttler , H. , Lewis , M. , Yih , W.-t. , Rockt \.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval u ttler , H. , Lewis , M. , Yih , W.-t. , Rockt \

Reference 30

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no resolver link, observed 2026-08-11T23:38:31.766426Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.766426Z digest=sha256:81f60609ec857bbc8977ea1c12c58e91897c16ea30dfc963456e17787c8cb64b

Observation d2ab04f5-c4e5-4621-9d09-e1f5630de7fd · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 31

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source=arxiv_source observed=2026-08-11T23:38:31.770326Z digest=sha256:258950bfb83730f71aec3bf71b4d2bb788b1574757d1006bd9503a8eb77f5bdd

Observation 6e87f22e-b2bd-4d0c-96b8-bef752546a1d · outbound

This paper cites , Finin , T.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Finin , T

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-11T23:38:34.077508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.774334Z digest=sha256:91f418f9471c7bf937e8425e43db25ba9a74fc5662c4f34828ba7f973e6d58a5

Observation 0c1bb7c2-a83d-4c2a-9848-1c3c4ef95618 · outbound

This paper cites , Wang , L.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Wang , L

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-11T23:38:34.052984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.777710Z digest=sha256:5ea320cfbddb55c7449748a9d71014a65ffd2cbf60bc0a0ac932f7518cbb6856

Observation 8fdd6579-40fa-4a2b-b3d1-674d314055da · outbound

This paper cites , Zaheer , M.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Zaheer , M

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-11T23:38:34.015308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.781650Z digest=sha256:ddf59e1732f9cdc514ba30b0df2a985ba6979790d64670155a7f4692d625e554

Observation 27ebaa64-ea59-473a-ab66-26b0a060fef9 · outbound

This paper cites , Lin , J.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Lin , J

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.892609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.785207Z digest=sha256:f01de05b1ebf85918ef00caad31bb626ad5e21ae2c27ffe5784f80b67e1d1fff

Observation 8a486444-1e5a-4b14-97c9-f6e82c10127d · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.788997Z digest=sha256:587964102dba159a39f52836b0c0cb91a20539d28b137090f2407fe37c9527fb

Observation 501f486d-f63e-4bc6-b3a6-ddd4a27467ff · outbound

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

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Multi-stage Information Retrieval for Vietnamese Legal Texts

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:38:33.099535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.792783Z digest=sha256:bbca71208d99d2964e4a6b87f395d465bd568671a9ff1f1ab91ba519f40a1373

Observation 992bf0b5-6589-4d0e-811c-9fda94076ded · outbound

This paper cites RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Reference 38

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no resolver link, observed 2026-08-11T23:38:31.796624Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.796624Z digest=sha256:09d99044c3bafc2fa0f92f2530958aede0db9470f021a955afdbf8d6d7bc4533

Observation 6a882a99-4509-4127-8688-6fe400862f38 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 39

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.800660Z digest=sha256:c618412bdeae5fca7799e1db3f952e4a05931517ddef0a4d9c0f441c8d54023d

Observation d6a3ccb6-3a6b-46d1-8935-8d56b5724675 · outbound

This paper cites , Gurevych , I.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Gurevych , I

Reference 40

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no resolver link, observed 2026-08-11T23:38:31.804736Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.804736Z digest=sha256:6cad8690fc30637ee686d616dde5b3e728df3c0fe5823a359e513d0c56ce0e43

Observation 271c6e14-9312-4569-a760-db1f4efe7e64 · outbound

This paper cites PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:38:32.989255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:31.808390Z digest=sha256:f3dbeebcff1814bf8e6e730e261949c64f39cd3a33c1b3585a46a2504c412ccc

Observation 4e5d1d41-aae1-4a95-b984-745183d0e649 · outbound

This paper cites , Shazeer , N.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Shazeer , N

Reference 42

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no resolver link, observed 2026-08-11T23:38:31.891164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:31.891164Z digest=sha256:13e5ca963e48bfad7d19bd66c6c3fcc473afd30cad5730dcf2bc1402f7273a59

Observation dac950d1-cb43-4d67-a229-eab307cac8a7 · outbound

This paper cites , Walker , S.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Walker , S

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.696257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.059287Z digest=sha256:54809ab809224b0782c5be600dad955fecb7cb86e753ccaa0e7c6d8cdba66aa2

Observation 6bd93df7-6455-4000-9047-59d9037eabde · outbound

This paper cites , Walker , S.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Walker , S

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.201075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.201075Z digest=sha256:06c74735d3ad758719749f38e238ec60bcaeccf49bd8893782a7e7d8d24349b0

Observation 2d1d6db3-f47b-4a7e-bcdf-a50cf2cb0914 · outbound

This paper cites , Zaragoza , H.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Zaragoza , H

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.571649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.217992Z digest=sha256:73a6c2a74f82d1ae1efa943311283924cbf76b3b91fa5a63c861dfccefdb1446

Observation 6f0c9bc1-9799-4676-8f4d-92c412115be3 · outbound

This paper cites : Modern information retrieval.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval : Modern information retrieval

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.561542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.234201Z digest=sha256:985d0c42a5132dcea3a7c34697c6926e5c44a985093c13233ab38e6503bc985b

Observation 36692748-908c-4cdc-a4ca-51063a226e05 · outbound

This paper cites : Choice of law: an empirical analysis.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval : Choice of law: an empirical analysis

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.548977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.253944Z digest=sha256:68f125c58a17115487ef1860da5c9b7e397eb519ba96c1dd66836b9a62f91e51

Observation 9eec1ec8-8b78-4929-8767-af5fe4bb05b9 · outbound

This paper cites , Buckley , C.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Buckley , C

Reference 48

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no resolver link, observed 2026-08-11T23:38:32.264767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.264767Z digest=sha256:dc27c891dd62024a01abd05d4c21070fb1ccde30c12f6baf83a4de40af05e2ce

Observation da3f9889-5399-4510-8174-a2d86a3e7eee · outbound

This paper cites , Croft , W.B.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Croft , W.B

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.537169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.273188Z digest=sha256:a06ecb045486632dcf562ee7ffa761ee6be38c3d1ac6a2e8f5add3520485729a

Observation 49e6e92d-091a-4ab0-9196-e389a08e930f · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 50

Resolution
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no resolver link, observed 2026-08-11T23:38:32.277651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.277651Z digest=sha256:44d23d57106631ea5f412321cdec6c1780f1efa4f1a5aa547092f61e831c9e4a

Observation 2681cb00-2c66-4891-ab08-fbb491f87cf8 · outbound

This paper cites PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.423409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.423409Z digest=sha256:6e97109162aacd02bc3fc37259886d99b4d9f349377eed5998fb6ea434c0f06e

Observation 7cbec519-ab29-495d-9842-2057ae8538b9 · outbound

This paper cites , Wong , A.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Wong , A

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.525533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.427522Z digest=sha256:cab3b36524fac2e0ce1897e4c52818ae5fb2df05507e5830d4c7e27b895f00bc

Observation 3f6dc22a-f79d-4f14-b984-74856b32505f · outbound

This paper cites , Yan , L.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Yan , L

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.514352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.431497Z digest=sha256:0959617f5c24c2ebd0a419ca799e1eed086b9d480de94f73e13ab36766382fa9

Observation bf20ec01-2e3c-4182-ad3e-b729bd83d408 · outbound

This paper cites Text Retrieval with Multi-Stage Re-Ranking Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Text Retrieval with Multi-Stage Re-Ranking Models

Reference 54

Resolution
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no resolver link, observed 2026-08-11T23:38:32.436140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.436140Z digest=sha256:a2bd699a203b3a128580fb8cf14adc7d59ec045612d69bd69a68b8c093d0c1e4

Observation 4f6ed1bd-263e-446a-97f0-3f7663a6d6e5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval LLaMA: Open and Efficient Foundation Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.440233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.440233Z digest=sha256:6476e082fb67c369e3aa1d53bb736e807c8894eed0632cb0cf1f0e81d0b0c971

Observation 14b007c3-7969-4a6a-9493-5c0dd90100d5 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.444222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.444222Z digest=sha256:665b4475b61262e2a9c8d06772db43e1954101ef9344fecc988dab3c5e332ff0

Observation 25d0ddcb-3897-40fc-9532-dc933b0fd17f · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.448848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.448848Z digest=sha256:1dade65ba2259ae9567e6266d9bb5c6b834e8aadea169195262fff350bb95ab9

Observation cbea0e81-9b89-4e4d-ae05-fe9f2d6ed34f · outbound

This paper cites , Tran , V.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Tran , V

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.504001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.453016Z digest=sha256:35f8ec91bc93857d2631ec561521127caf5bfd3a29d5f8f99bfad9f7710ab42b

Observation 489fd123-cd63-402d-bba4-b35497901133 · outbound

This paper cites , Vlachos , A.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Vlachos , A

Reference 59

Resolution
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no resolver link, observed 2026-08-11T23:38:32.518882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.518882Z digest=sha256:78f96cd89f9a71fa523cab29941ac1b2cde7a69cbd6c2062203681f87ff6b877

Observation be35565a-bf41-4b3f-844c-0b38dbae91af · outbound

This paper cites , Cer , D.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Cer , D

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.607423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.607423Z digest=sha256:77cb26c0c4924a5588999115df60bb66fae2e5eeec57126592cf791578a9d064

Observation f7ee7b20-b571-40ad-b52d-7bc0bdf36fe5 · outbound

This paper cites Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.708314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.708314Z digest=sha256:a1882ffadd25358a703ec994caf62a5639c5792b78858a99aaa0224e6ead62bc

Observation 9d5e1208-8df3-4876-8503-9bfa83191ec2 · outbound

This paper cites , Zhu , W.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , Zhu , W

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:38:33.492284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:38:32.775369Z digest=sha256:d7d8ec532acb25d09197af3b855ea706d93c88bea6466d35e3f0fcc1d2b6f2d1

Observation d981fed7-cd10-426c-abfc-88d86577c114 · outbound

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

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval , " * write output.state after.block = add.period write newline

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.794006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.794006Z digest=sha256:f4bf6af799e105a0105463acc586ff6f1d925a76a735c6dc8b5f1df8f6882402

Observation eea48639-73b0-4985-a708-80f6546aae2d · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.799088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.799088Z digest=sha256:3c7ae32f8595e086f31f20d4a8396e006af2667520619d6fb75b7ecfa7afbfa6

Observation 9a1c3082-f39d-4f30-b003-ed80fd47948c · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 65

Resolution
malformed identifier
no resolver link, observed 2026-08-11T23:38:32.803957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.803957Z digest=sha256:32792df0afcade01067a087b62ae5af9a384f1e9d746f6a732cc29ce25a04be7

Observation b3942e1d-041e-4dc6-b00e-7316890e7732 · outbound

This paper cites write newline.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval write newline

Reference 66

Resolution
malformed identifier
no resolver link, observed 2026-08-11T23:38:32.809637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.809637Z digest=sha256:3adfb3d0d92e2cd56ca4dc547bb53803dc1d2ac3f1c692c9aa5c1e86f3a3f7d9

Pith citing papers

Observation 4a9f4770-f8a3-4a8d-8bfe-1b6c77828f73 · inbound

Optimizing Multi-Stage Language Models for Effective Text Retrieval cites this paper.

Optimizing Multi-Stage Language Models for Effective Text Retrieval Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:50:01.202545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:50:01.067201Z digest=sha256:705e25aec78744f19d6f33a522079fed036d4273a75ff5632ca083f002c67b14