Paper Citation Record · LEDGER

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval

As of 15 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 2026-08-15T06:32:42.880941+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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.036787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.079699Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.205362Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.253301Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.257305Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.261661Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.265930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.269927Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.274138Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.284357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.289005Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.293774Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.298458Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.302881Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.307706Z

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Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.316012Z

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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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.359066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.477593Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.614509Z

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Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.732551Z

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Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.750000Z

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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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.758002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.762511Z

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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

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

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.770326Z

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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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:31.788997Z

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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 2026-08-15T06:32:42.880941+00:00.

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

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

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Unavailable: canonical work link unavailable.

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: unresolved; no resolver link, observed 2026-08-11T23:38:31.800660Z

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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

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

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Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

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

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

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Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

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

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Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

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

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Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

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

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Unavailable: canonical work link unavailable.

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.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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

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Unavailable: canonical work link unavailable.

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.

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 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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.

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.

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.

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 2026-08-15T06:32:42.880941+00:00.