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Paper Citation Record · LEDGER

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.02189.

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

pith.paper-citation-record.v1
2608.02189 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:43:06.022014Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16deeef4-35a8-4477-8ac9-b8e8dacf2d01 · outbound

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

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 1

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source=arxiv_source observed=2026-08-04T12:43:02.838622Z digest=sha256:c8d5fdf6984da8105acf216f9fabf9c484fce68c4eb144f9e5efb4212149331b

Observation 518bd796-7549-494f-b8e2-8dc242a84d52 · outbound

This paper cites Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics: Main volume , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics: Main volume , pages=

Reference 2

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source=arxiv_source observed=2026-08-04T12:43:02.907026Z digest=sha256:1488bee27ab4fc7942fc703102c691c30a83d35947f05ff0cb376fd6daf9cdbf

Observation a91fe1af-2745-4ab9-b32d-152cff1776ce · outbound

This paper cites mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset

Reference 3

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source=arxiv_source observed=2026-08-04T12:43:02.943345Z digest=sha256:8ba508eb96860f988efbefd2a8c3837ada7a6f5d614b76b8ba28080ffb426370

Observation 5c0fbe6d-c927-48f7-a538-d4d57b0e11e7 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Transactions of the Association for Computational Linguistics , volume=

Reference 4

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source=arxiv_source observed=2026-08-04T12:43:02.989447Z digest=sha256:011943c93ed27565d5208be75581eb39543a726566ddaf8655aa985af9e5606d

Observation 7de59435-0de1-4795-bb7d-5b948d524eab · outbound

This paper cites Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval

Reference 5

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source=arxiv_source observed=2026-08-04T12:43:03.040819Z digest=sha256:258ba4cba9164428cf0116671c5b2183d296dee956f41059a7d497843d7e6ab4

Observation 81ca45f5-9c01-4fc0-83d1-6a6281af3a8c · outbound

This paper cites 2009 , publisher=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval 2009 , publisher=

Reference 6

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source=arxiv_source observed=2026-08-04T12:43:03.116270Z digest=sha256:db2e1d49aa937be1598e083529037f1d54b802e2b616b272b3877262cecc682e

Observation 01178a55-469b-4c8b-8747-c51f7702da53 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 7

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source=arxiv_source observed=2026-08-04T12:43:03.209489Z digest=sha256:f1c1e413012eccd1c6f3d8a5909471c6d37bf2994baac9d056c46b0b28347939

Observation ac98430a-519c-41ab-8b9a-d69f38dd9d3c · outbound

This paper cites Proceedings of the 31st International Conference on Computational Linguistics , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 8

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source=arxiv_source observed=2026-08-04T12:43:03.265103Z digest=sha256:68d579d92bf3971a09a8d9107475a841420329d5ccf4d525f6773436434dcf74

Observation ffe8feaf-cff9-4b16-ba02-fa1e03d6bb53 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 9

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source=arxiv_source observed=2026-08-04T12:43:03.307963Z digest=sha256:38ae9baedb01f39cbff74e6b06ac0e1364e753ef65ecf361879052963f0d4a45

Observation f7df0567-860c-41dd-a80c-8552b42694eb · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 10

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source=arxiv_source observed=2026-08-04T12:43:03.362911Z digest=sha256:77e566bfa5b214f870c680f5ebda486e9b9a486369d442450d427b39064086b4

Observation f2462013-ec9f-44bf-9493-028c22495b51 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 11

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source=arxiv_source observed=2026-08-04T12:43:03.408439Z digest=sha256:1611c6842d0866fc6964cd6b863d7765e20ad4ba959e54018148f3bd08a2c6db

Observation 87917cdd-b554-43c4-83d4-4b4b04a4599e · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 12

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source=arxiv_source observed=2026-08-04T12:43:03.535213Z digest=sha256:7dc3bedd8d5f9045bd5526718132bffd1abdfd90a404791e057413640377f21e

Observation dccb80c2-9bdd-41bb-b192-dfa6d0113c24 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 13

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source=arxiv_source observed=2026-08-04T12:43:03.580830Z digest=sha256:bf5fd3e0e1795a8b0971e1673d07ee6213e79e0eb4fcaf634846045d21971561

Observation 5120f336-e9cc-47f0-8734-681c5fa1b609 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 14

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source=arxiv_source observed=2026-08-04T12:43:03.642108Z digest=sha256:8fdfc242311b1bae1d32eeac85d0eb3f000bc9096e47afc4916e0799713815b0

Observation 620916bc-ffd6-4f6f-9614-30caa962d6b2 · outbound

This paper cites Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval , pages=

Reference 15

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source=arxiv_source observed=2026-08-04T12:43:03.740714Z digest=sha256:9f9dd18cb620c02c4763b24d70b1df7c2565d726974406f848cc52b2cfacfff1

Observation 47a79554-932f-4731-b98c-7ab3988466e7 · outbound

This paper cites ACM Transactions on Information Systems , volume=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval ACM Transactions on Information Systems , volume=

Reference 16

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source=arxiv_source observed=2026-08-04T12:43:03.787764Z digest=sha256:bffbde82fb5af796d6e1bfd36440a395fa20b26880da3f247ba789d31cd9135c

Observation 223b949c-ae16-4ecc-b5d8-0406fdc3b6d1 · outbound

This paper cites Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 17

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source=arxiv_source observed=2026-08-04T12:43:03.827673Z digest=sha256:679598019cedeef974df44084a994009325d5d1a861b6208c9e1a01ab98d08c5

Observation e7dfea6c-a80f-438e-8e15-2d20cf304425 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 18

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source=arxiv_source observed=2026-08-04T12:43:03.889956Z digest=sha256:0a9b1ca181d0392c3ffa6ffa6d5a015f1c5e6540607024bcab85d29e987bc5d2

Observation c8da7a30-e630-4a7d-aaf9-408b8c469a87 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 19

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source=arxiv_source observed=2026-08-04T12:43:03.979715Z digest=sha256:c707618afbbe0256b7f73f07c4d007663a8117ca3b190b884ccda799f3e80671

Observation cb64a927-bf03-4fc2-a3cb-45c32d541b24 · outbound

This paper cites an unresolved cited work.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-04T12:43:04.094273Z digest=sha256:4f4cdfc2545d11cf719517df3444cb3f7892c420fe6e3010a820d32108e6eaec

Observation 833af02a-04f1-425d-ad0e-5cb79a3f406f · outbound

This paper cites Advances in neural information processing systems , volume=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Advances in neural information processing systems , volume=

Reference 21

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Observation 4e7a1f95-08fb-492f-ac4d-197c502d77cc · outbound

This paper cites Proceedings of the 58th annual meeting of the association for computational linguistics , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

Reference 22

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source=arxiv_source observed=2026-08-04T12:43:04.388685Z digest=sha256:82397bfa04dd6342d39e9c4da3b87d43eab2e7ca30f9f1267a264dba0773092a

Observation fbcfd64c-62f8-4668-bbb2-8e4a338d544a · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 23

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source=arxiv_source observed=2026-08-04T12:43:04.481417Z digest=sha256:e4576ef1a792ff50011f21bb53172dba2525c8a0bef8bbfd170c18db09298441

Observation 428972e7-3e1c-4b77-8abc-78f65a8c6f73 · outbound

This paper cites Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 24

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Observation 708ef79e-a80f-48d7-afaa-19161a0c70d0 · outbound

This paper cites Proceedings of the 2022 conference on empirical methods in natural language processing , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 2022 conference on empirical methods in natural language processing , pages=

Reference 25

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source=arxiv_source observed=2026-08-04T12:43:04.685263Z digest=sha256:1216b701ba55daeac1a2caae42990b65d1d92a00e69d2e7d10859a6fc2bcc6d9

Observation 0e006769-f7c2-4345-80d4-890f640be8e8 · outbound

This paper cites Proceedings of the 2021 conference on empirical methods in natural language processing , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 2021 conference on empirical methods in natural language processing , pages=

Reference 26

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source=arxiv_source observed=2026-08-04T12:43:04.864130Z digest=sha256:1e4de5345c19e937132bcf45ff09d1eb73e18f01fa9785c6a887b18357808971

Observation 5453c998-3dbf-4ddc-88b0-ee7bad3799d0 · outbound

This paper cites Multilingual Alignment of Contextual Word Representations.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Multilingual Alignment of Contextual Word Representations

Reference 27

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Observation e253c2db-b202-48b4-a2a3-38fce74b89d7 · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 28

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Observation caf0a64b-9665-444e-b1e9-9aa57047f672 · outbound

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

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 29

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Observation ff5d20bc-be18-4ff4-9de5-a0a19f769085 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 30

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source=arxiv_source observed=2026-08-04T12:43:05.150116Z digest=sha256:23631c7a32a8a9fdd08f09a5d5dba519fe8b634e1dc97c6798d95c946b024606

Observation 37ebd405-de9e-4a2f-af54-84653e21cf04 · outbound

This paper cites 2010 , publisher=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval 2010 , publisher=

Reference 31

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source=arxiv_source observed=2026-08-04T12:43:05.204440Z digest=sha256:b491d09546d91776cef5bb49c9546e0a9fedbc83a801e9198618e84257b52fce

Observation 7c715e3f-31fb-41d8-9099-3d122ad28aea · outbound

This paper cites an unresolved cited work.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-04T12:43:05.294961Z digest=sha256:d92d673f250154ddfb562bff729653f0f59c8ce8ec7f53125e137e8569c749ea

Observation ca286b33-81a3-45b9-afc6-f803d3872102 · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 33

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Observation b4835d54-a9f7-449b-8b64-4f6f834a6724 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 34

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Observation 7ac6bfdc-0dd5-48fa-b104-3da84cdc94b9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Advances in Neural Information Processing Systems , volume=

Reference 35

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Observation b0b6b14c-2bae-49fc-bb0a-c8cd9f645411 · outbound

This paper cites European Conference on Information Retrieval , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval European Conference on Information Retrieval , pages=

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:43:05.589711Z digest=sha256:ccbd90cde977a8dcc4038df10c1989b09fd2818699767116c016c2622ddb1f2b

Observation 7b411f53-205f-4732-b268-d9ce80917d96 · outbound

This paper cites an unresolved cited work.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T12:43:05.690471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:43:05.690471Z digest=sha256:75dc68105c23d4f9475d642aaba0c66b34e83113c8848ed8ecaef6ee9aae7311

Observation 21b2d7d9-5d26-4982-a7bf-ba3eb0f93cf7 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T12:43:05.786293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:43:05.786293Z digest=sha256:d9874ef7284f3e8ebc817a676c95effe98521c51b2e30d07b5d43f2d4084a8ba

Observation 93c4148b-e16e-4037-b26e-cc43e6eb741a · outbound

This paper cites IEEE Transactions on image processing , volume=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval IEEE Transactions on image processing , volume=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T12:43:05.873629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:43:05.873629Z digest=sha256:d0aedccbc298eef6070a714e1995c29dfeeda7e50205aa2710313ba68808189a

Observation 4743e376-cd45-48b1-a0ca-7346865c0246 · outbound

This paper cites Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , pages=.

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , pages=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T12:43:06.022014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:43:06.022014Z digest=sha256:2d77f105b38a65705dd4053277ce0a10a4ed47ef83cee26ce8b3675e7b63cd63

Pith citing papers

No inbound Pith citation observations are available.