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Paper Citation Record · LEDGER

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:31d6cd094e8a7e3dc67aaf4fd51a0906f65930ca0582a3935bd00113acbc77f3

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=sha256:62be6584b466d13425ad07dd01a31d87c7a8c459613775b5842d2bbd256e1634

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:ffe8a149d6f49ebbf9c15c7f336520cdae988b27a1598b2cda7ebb18bc3d0284

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=sha256:47cba1fb5dd9fcb0e8abd46c8fb48675b506b6c049cb8f0e620e58f924634e1f

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=sha256:47a742231b55c73fd2cf519d7b64ada9311e216fcd35940ad64081dd37b7f6a7

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:e3a6adbeb7b3bd6e159a77ce72a331ad18575d509ed3966412e9dfcd1cbc3a62

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:ddf14d0a03ee773d9c1b785c2a88af1db3b4ab0883ceccef59dc1176f7d3a416

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=sha256:577830fadf752802fe380783f9a38423923b72367da3e5fd33a1be2341bccbe4

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=sha256:965d2b1bf44ec31e2b5cb582a9e4340ffe1698a3aff5b9b29d6430b97af0798e

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=sha256:71dd15e59823250fbe8f78ec08694604863eaf1b8e24572127a67da729df4d5d

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=sha256:284bc7b58e45e55f7e67dec8cf537af4a9b6c3f0dd943ff314bb3ef61c51ab0d

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=sha256:0ffccb6af7053753f70a230a61d06b5a57b0f0ecac86016706e35e6e40d33f30

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:b47b067592968391561572a8f50afe2e50952d829bfe14e00367af9cdb698c09

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:a3f54f7995493edebaf2e89e8e0ea81133a07317df136d90a57a40043d6b14cd

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=sha256:29d46bb20212172c09ad7314564f0d878282f1b9635d036db1cb70ea7d2243d0

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:e75c5bae9715865c5603c7a5cfd03b4b0ca79c698c7c578585bfe4bff8747b82

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=sha256:4f9ee6903f924f29d6907e7bfab901ea909abf8c91f268f2227cf418f140ad59

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:c185b5896a7879557263695c6d798cc5ee972e0ac9140230b7c926b9b8ca4320

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=sha256:85601667a235dd21f0a4e0ffa6c2b208c55e068c91ed44e3c8e6c1d3eb859dc4

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:c22fd0f1d7acb0259bfcbe460577c57b105c4150d228ea5a387464c66f45432e

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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source=arxiv_source observed=2026-08-04T12:43:04.222237Z digest=sha256:e83eb651591bf4cd9c1a4cba0ba9d2de94a75e73defb07db2715c807a7a2d8e0

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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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:d841ba02a14e9c09fea09dfd0d5295833068da55915a8f1e981c9b0055ca0168

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=sha256:507047b75b6fcfb56182623fe33d7f57f72e15c15add7f86ef6f5794ebf4b104

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:c0dd994a6c2f4acf5094fe7b60e30b3b29e0bfcade3e25344c9a3a3d6cf0ad3f

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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source=arxiv_source observed=2026-08-04T12:43:04.971501Z digest=sha256:8590ffff09a1293e1275d620491d1d0033d186520a4b565b5cf100cbd4720f71

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=sha256:406cb491a28337e43e2d02c223e2d6fa6d2cd93967116ca51a7503eafca2aa78

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:c137997d786e289dbab62e072af4948b1f7a2e87fe9ff618e4224aced0827c69

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

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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:c7783a97d9649a9584ecf22381e79ce34eb76855a4142335f639d511e64dd6d8

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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source=arxiv_source observed=2026-08-04T12:43:05.545332Z digest=sha256:aee17efd2dd77b3aa681191a2797d6268710eea28493e8d3854ef9bb0ca1a275

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=sha256:9ffd816ab4133a4fad8e67f0e160a575b7717adf63967e356dcb83cce5ef2864

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=sha256:11de9afc5312af131374f8514bf9e03db0e7f6deae601bb789ab1258e41195a9

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:f266f6c60d9d2e9129c32f6920666166fa5c9bdc4078cf4a74a11c0dcb0fad9a

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=sha256:9d69ef6240e85a04db6526877ac7050ed44a775bda5689ea786b758efa820e58

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:dcc45e0a6401cf836a3107f0f3016a291ae008dc110ab11d8dbc4795869ef3c1

Pith citing papers

No inbound Pith citation observations are available.