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Paper Citation Record · LEDGER

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles

As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.05018.

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

pith.paper-citation-record.v1
2501.05018 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:23:56.588433Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

41 of 41 outbound references displayed

  • verified exact5
  • verified fuzzy8
  • unresolved26
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24b148de-4f12-4177-92f4-125f4a14094a · outbound

This paper cites Salton, M.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Salton, M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.510545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.444589Z digest=sha256:9f19e8eae997a234a590cfcaf055150c114fc065699e4020accba535bce94e31

Observation 43f89033-35db-49a0-8c97-c3dfc73cf587 · outbound

This paper cites Sansone, G.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Sansone, G

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.500245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.449169Z digest=sha256:3ab4766401b8de65fa34d222b93380e79201fa0d79bafb83270ec65dd006f4ac

Observation 944bf37a-5192-4cd7-9bf5-08fe730bb7c2 · outbound

This paper cites Salton, Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer, Addison Wesley, Reading, Massachusetts, 1989.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Salton, Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer, Addison Wesley, Reading, Massachusetts, 1989

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.490423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.453762Z digest=sha256:f97f2c8c21c07abafbfd0b452f1956aa23734924ddf5fb5f4d6fb0aae573f463

Observation deb80248-4c28-45f5-9846-e43f9ccbdf72 · outbound

This paper cites Wehnert, V.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Wehnert, V

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.457514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.457514Z digest=sha256:a1516d1e89401c7109166bbdde18cceacfa18307de2fb854b5008f795f9bbd0b

Observation cc713216-19be-469f-855d-985aa0c1edea · outbound

This paper cites an unresolved cited work.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:23:57.479994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.461555Z digest=sha256:4d8f46943acf69f133e7ae9b14e512fbf8a0f98ab7b7163b7b6726d217919d2b

Observation b66aaf53-24bd-4172-b9d7-7e642316e828 · outbound

This paper cites Attention Is All You Need.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Attention Is All You Need

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.465483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.465483Z digest=sha256:3f7dd0ddbee330407f65ad6529aa93914214ce5067d82b59a8db8e4966b451de

Observation fdbb2588-09ca-46c5-96ba-c78f5c528133 · outbound

This paper cites Passage Re-ranking with BERT.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Passage Re-ranking with BERT

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.469624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.469624Z digest=sha256:f76d3dc6a23406d28f418c5b33aca87fc501be500a229b54f1e9841ac4a8e7a3

Observation fa1140cd-6960-4623-961c-b56db7f667f4 · outbound

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

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.473430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.473430Z digest=sha256:1da4ad9ebaa8ee5cb9713296abe8f75300cad9b776bb559d0a91b9c25f3354a3

Observation 114b9877-0d52-4293-a0bc-000166ad7d27 · outbound

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

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.477833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.477833Z digest=sha256:7c88633184f5956c900a4b8ae0f57095c1820186d9458e5da590e393c97d5942

Observation 7abb53dc-9ca5-4a61-98b1-81813f6b9707 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.481579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.481579Z digest=sha256:26bd07baee9f849b75dc617fd260ff7ccebf5d8691d2e9257297514a67899dad

Observation 6aba4871-f27b-4a0f-b97a-5a115ab92f04 · outbound

This paper cites LEGAL-BERT: The Muppets straight out of Law School.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles LEGAL-BERT: The Muppets straight out of Law School

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.485500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.485500Z digest=sha256:4c5a1297279bb45be77ed5d2133e7137df1494c4bb20ebbe8aed578e0fff4f70

Observation 4981cee5-5431-43e7-9d3c-eafd6f392777 · outbound

This paper cites DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.489385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.489385Z digest=sha256:4fd218876afb6556cc8fa7f9f662ad55a605055714d833bdc87ef418242398ec

Observation ee35f58a-4f5d-4f85-b08e-53bec588a587 · outbound

This paper cites Language Models are Few-Shot Learners.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Language Models are Few-Shot Learners

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.493138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.493138Z digest=sha256:bc7f0a5b6b42c28fa512ae05321ef570fe3bee644f0f60a95ce2058b022ed00a

Observation 581c21c4-23a0-4164-a6b6-d81917ae72e3 · outbound

This paper cites From Understanding to Utilization: A Survey on Explainability for Large Language Models.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.495993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.495993Z digest=sha256:306b2902422bc647797274b1b989ad3878e628dd4630c69052f4f1114873f4aa

Observation 14f2b316-2ef5-4053-bd13-18e7790fc5ba · outbound

This paper cites Explainability for Large Language Models: A Survey.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Explainability for Large Language Models: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.498854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.498854Z digest=sha256:f30be61681355a3e3ac3ac6e634b88a974b0da8c207c690f9c53496a9fc272cb

Observation e661c8f2-28fa-435f-9d12-18b5a58141a3 · outbound

This paper cites Rabelo, M.-Y.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Rabelo, M.-Y

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.470022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.501799Z digest=sha256:fc204a54166e340fb97bb7c11571d403669ee1f8bd6edb6a91ab63cc8c2db391

Observation 1b637905-61d1-49a7-bbc5-e6edcc6cde9f · outbound

This paper cites Legal Document Retrieval using Document Vector Embeddings and Deep Learning.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Legal Document Retrieval using Document Vector Embeddings and Deep Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.505108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.505108Z digest=sha256:bd5ee7323a16504ae2043e6d69971af5e0e38a9cf061b0d687da819609c14d8b

Observation 765c4fed-6e5f-4006-951c-aca8559c07a5 · outbound

This paper cites Mandal, K.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Mandal, K

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.460205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.508541Z digest=sha256:75a2b75051325a4058ec05e0481624cf4b8e38908bcca19eafa3b0eaeaed3df6

Observation 5726f07b-e372-4e65-bcc9-4af1e899c459 · outbound

This paper cites Wrzalik, D.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Wrzalik, D

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.511646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.511646Z digest=sha256:a5bc2faf65e29d3ba5ed51b523428b033fdb281068a6aa00c83a6c3793d90387

Observation acd6bd06-0abb-41c5-95e8-906cbc816403 · outbound

This paper cites Hearst, S.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Hearst, S

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.515520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.515520Z digest=sha256:4566cb644e805fbc359d7681b01af909813a60a52431540bb26325ebb3691743

Observation e4929c29-ac0e-4db0-8548-a9a9df7754a6 · outbound

This paper cites Breiman, Bagging Predictors, Machine Learning 24 (1996) 123–140.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Breiman, Bagging Predictors, Machine Learning 24 (1996) 123–140

Reference 21

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T21:23:57.449581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.518971Z digest=sha256:f861d403a25d3903cc2e1f001038d9049f46af7f56a6358b8c2f7be124fea682

Observation 66ac6dc3-4f8e-4d20-9715-ed7695a77d9a · outbound

This paper cites Breiman, Random forests, Machine Learning 45 (2001) 5–32.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Breiman, Random forests, Machine Learning 45 (2001) 5–32

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.522345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.522345Z digest=sha256:e8f9d89befddf15e06e8956a8b935ce75e53ecf15f9a6cc5a38623d39279b06d

Observation 2e42cd8d-5142-42a7-8f53-61761694f57e · outbound

This paper cites Salton, C.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Salton, C

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.437708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.525709Z digest=sha256:6dde163ddb1b9fd0e134eec87ef932a1567e4c373ca15d7a899deceac3958f74

Observation 4e223485-966e-47a2-8035-2e02a515aa83 · outbound

This paper cites an unresolved cited work.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Unresolved cited work

Reference 24

Resolution
verified exact
doi, observed 2026-08-10T21:23:56.650079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.529601Z digest=sha256:8035c8bb66a8518c14dc2d692040f2691d7c4058dfbdfca24b324d45a392c211

Observation a27f864d-05c8-402a-b15c-cb83ec11a1ff · outbound

This paper cites JNLP Team: Deep Learning for Legal Processing in COLIEE 2020.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles JNLP Team: Deep Learning for Legal Processing in COLIEE 2020

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:23:57.146224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.533072Z digest=sha256:7a7bef3a384bee919bc9cf6ea890232c741c5fb88988c3df1494e2a5e36f7cc9

Observation e084d4c7-43eb-4379-ae7d-46cee6d6a2f3 · outbound

This paper cites an unresolved cited work.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:23:57.426514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.536516Z digest=sha256:81330625fa9259dcbf4a659e8d1bfe1f67dcd2a49e691c26993f46477a55dd99

Observation a0bb54a2-006f-4763-b156-3d3d59e999d5 · outbound

This paper cites Evaluating Embedding APIs for Information Retrieval.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Evaluating Embedding APIs for Information Retrieval

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.539872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.539872Z digest=sha256:03bf256980df1051fa5c1e2242bcb0a897b6ecd58a3f1a300f980cc8b2d819be

Observation 0b9d977f-829c-4b2c-8e14-6b9202551e92 · outbound

This paper cites Galke, A.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Galke, A

Reference 28

Resolution
verified exact
doi, observed 2026-08-10T21:23:56.639075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.543398Z digest=sha256:ae7a978aa8cc32d7129d3ba75559323d347780108c924e1eb1ca4c42aac47833

Observation 7d992e51-dfa9-4179-951b-6fb7b13b3500 · outbound

This paper cites Salton, A.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Salton, A

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.547187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.547187Z digest=sha256:a83c6f9feb3d0882dbc65339aa0657ebe64a019ac47b159d4fa3aa9aab08dbeb

Observation e50613a3-abdd-4be2-b870-7fa2e2f9f2d6 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Efficient Estimation of Word Representations in Vector Space

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.550471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.550471Z digest=sha256:1530935c2fe11d039eac8ea30fbbce7f0cbae920ffa4fc27c06c7613837b1c54

Observation e47aa08c-fc72-4bbf-839e-9e7ab78039a2 · outbound

This paper cites an unresolved cited work.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:23:57.415694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.554231Z digest=sha256:a75f0b4b4b2f259167147e59ea1c90e5824241c1ef5d43dd59b1d051345f2cab

Observation 04714cd8-09dc-4e34-b54f-64925ed9dacf · outbound

This paper cites Drucker, C.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Drucker, C

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.404814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.557665Z digest=sha256:2b2401a2d77f5f5d1876bd1856fe865d03c61f57b688c6823057c8c8bda909c0

Observation 3e198d83-f5ba-4961-bab0-35fee23940a0 · outbound

This paper cites Sharafati, S.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Sharafati, S

Reference 33

Resolution
malformed identifier
doi_truncated, observed 2026-08-10T21:23:56.627470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.561123Z digest=sha256:aecd5a05ff0cbb459bb28e4c20f4dc7bc72370ab1c86b02fcc8332dae9fd173d

Observation e7bc7c2c-8749-4168-975f-bb0357354b01 · outbound

This paper cites an unresolved cited work.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Unresolved cited work

Reference 34

Resolution
verified exact
raw_fallback, observed 2026-08-10T21:23:57.030337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.564400Z digest=sha256:693edd805451806ff820d2d8ef6c889ae669ef9d193529c0c12b0eca3441dca1

Observation b719f9c4-2bed-48bb-9c2f-beb90aab82a2 · outbound

This paper cites Van der Maaten, G.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Van der Maaten, G

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:57.394224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.567315Z digest=sha256:dfd5175d061e2ed0d3fc7b70530c31c5b7b95e8a3d14b6006a6bfcb7ddd75788

Observation bf1baa17-a2d9-4c9f-a6e3-a0ecca42545e · outbound

This paper cites Longformer: The Long-Document Transformer.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Longformer: The Long-Document Transformer

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.570526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.570526Z digest=sha256:69fbe87c2e145138f26dcf54ce2ec254eb3e2b0f678f966e32d176c9fe30ee8e

Observation 4714107a-f999-4040-baf1-b2232eb962fa · outbound

This paper cites Karpukhin, B.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Karpukhin, B

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.574418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.574418Z digest=sha256:126901559c78b8e0434245bcef67082b5da70357c2ce44f7177d4d96da343f0d

Observation f51cf5d1-5d47-41b6-9833-91126e64ea66 · outbound

This paper cites an unresolved cited work.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.578098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.578098Z digest=sha256:39771bd215127e433b83b2ad71a1673b9a8ceb21ef027766efa8bc1346f47d01

Observation 1813f552-ee09-4a58-b9b7-4a67884f4194 · outbound

This paper cites Benign Overfitting of Non-Sparse High-Dimensional Linear Regression with Correlated Noise.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Benign Overfitting of Non-Sparse High-Dimensional Linear Regression with Correlated Noise

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:23:56.863991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:23:56.581473Z digest=sha256:2134a7f616ec0cea0cb99bb7ed4954488a963d4f8c500fb7f8d78091b6ca77c9

Observation 148e9543-0bfa-4e69-b898-f955dc8be442 · outbound

This paper cites an unresolved cited work.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.585013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.585013Z digest=sha256:216a5592f6cefd817a222b4d029ab717fc9d1fce4f0090c5047ac4bed84ddc83

Observation 0724b27d-4107-4044-ae09-f2d9955118b0 · outbound

This paper cites Ghosh, A.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Ghosh, A

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:56.588433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:56.588433Z digest=sha256:e92df9c188a141ea3d891d485f3076cba05cc89b5d4b34420a8cddd3d115693a

Pith citing papers

No inbound Pith citation observations are available.