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Paper Citation Record · LEDGER

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers

As of 14 August 2026, this Paper Citation Record lists 100 of 185 outbound references and 0 inbound Pith citation observations for arXiv:2608.08809.

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

pith.paper-citation-record.v1
2608.08809 v1

Coverage vector

measured 100 of 185 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:29:36.986344Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

100 of 185 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier1
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External citation measurements

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Outbound references

Observation e60044f1-98ca-494d-924a-a25c08b322fb · outbound

This paper cites Scalable training of.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Scalable training of

Reference 1

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Observation 6b78fe5b-901b-4457-a15b-2d4e719085da · outbound

This paper cites an unresolved cited work.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Unresolved cited work

Reference 2

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Observation 9b95fa7e-e6df-4fb8-9296-588d407efe40 · outbound

This paper cites Tetreault , title =.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Tetreault , title =

Reference 3

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Observation f99e06d3-8fb2-4dc3-83c9-fa400cc0b829 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 4

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Observation d0f25512-ee9a-425b-a9ce-a9c70da4506b · outbound

This paper cites and Tukey, John W.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers and Tukey, John W

Reference 5

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Observation 7fd26c62-7f01-4176-b2ac-9d341c0f0119 · outbound

This paper cites SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking , year =.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking , year =

Reference 6

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Observation fe9910e3-b540-4862-bca3-a1b68ae71659 · outbound

This paper cites SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

Reference 7

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Observation 7bd3dc55-bb7f-4e69-b40a-1cc40e07c253 · outbound

This paper cites An Efficiency Study for SPLADE Models , year =.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers An Efficiency Study for SPLADE Models , year =

Reference 9

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Observation 77d029f3-e5df-4964-bf93-eef272b75df3 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Transactions on Machine Learning Research , issn=

Reference 10

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Observation 0db603bb-6d62-40a1-9fb2-d7d0442f3986 · outbound

This paper cites 2022 , publisher=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2022 , publisher=

Reference 11

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Observation 325a3777-8ab6-4e27-b8ba-7a168364b1b5 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Dense Passage Retrieval for Open-Domain Question Answering

Reference 12

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Observation f3a50926-a9fb-4927-a3c1-4b89f3b521ca · outbound

This paper cites arXiv preprint arXiv:2308.07107 , year=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers arXiv preprint arXiv:2308.07107 , year=

Reference 13

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Observation 8010f540-14d4-4e9f-aac6-1c7ad67a200d · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

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Observation 6f7917bf-1d62-43f8-af15-6841e81ae5f2 · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

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Observation e53925c1-b864-4233-a575-f31b5518c7a4 · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 16

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Observation 242e1940-d67b-42cf-a30d-7f494321015f · outbound

This paper cites ArXiv , year=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers ArXiv , year=

Reference 17

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Observation de86a35c-ebd2-4d79-9473-9e39ecad3d0b · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 18

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Observation 5735158e-f612-4210-bca8-6fed6327f068 · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Unresolved cited work

Reference 19

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Observation f4ca86ad-d7a6-42ce-a193-a683ee3087b8 · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Nist Special Publication Sp , volume=

Reference 20

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Observation 13abc66a-cb48-4a73-b546-50a5dbb5ee0d · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Journal of documentation , volume=

Reference 21

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Observation 499be718-e9ab-42f1-bc25-5499c63b504d · outbound

This paper cites Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 22

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This paper cites Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 24

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Observation c9d89579-6b56-4b40-8032-3d5a3b9c4871 · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers International Conference on Learning Representations , year=

Reference 25

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Observation 23ec5850-9e5c-41f3-8076-7d265c9ddad2 · outbound

This paper cites Scaling Laws for Neural Language Models.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Scaling Laws for Neural Language Models

Reference 28

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Observation c565a250-340e-46b6-8b92-c0e38864d499 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Training Compute-Optimal Large Language Models

Reference 29

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This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 30

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Observation cf430869-ddd0-4398-9435-d15bb943bc52 · outbound

This paper cites Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval , pages=

Reference 31

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Dying ReLU and Initialization: Theory and Numerical Examples

Reference 32

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration , url =

Reference 33

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Observation c6478db0-aa25-414b-a5cb-b2ad7a511afb · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2023 , url=

Reference 34

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers int8 (): 8-bit matrix multiplication for transformers at scale , author=

Reference 35

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Observation d81a4c18-56fd-455d-b8ff-d78d391ede5e · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Repetition Improves Language Model Embeddings

Reference 36

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Observation 9ce423c9-d98e-45a8-85c8-9f708bad4677 · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Unresolved cited work

Reference 37

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Observation d77b3a91-df87-457d-8818-f9abfa850dd4 · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Communications of the ACM , volume=

Reference 38

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Observation 78121737-cefe-46bf-8f79-c34dfd6e1478 · outbound

This paper cites Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region , pages=

Reference 39

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Observation 533f0576-71dd-439e-bca4-b4441ee86795 · outbound

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Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers European Conference on Information Retrieval , pages=

Reference 40

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Observation a3bc7473-2478-4a5a-b8bb-ddcff05b8f90 · outbound

This paper cites Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval , pages=

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Observation 1ed1e3b0-63a8-4dfc-ae2d-4130b908aa53 · outbound

This paper cites SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval

Reference 42

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Observation 3056594e-4a8d-49d0-a046-84e30a72b5f3 · outbound

This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 43

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source=arxiv_source observed=2026-08-14T04:29:35.564859Z digest=sha256:ded7b1fbfdcebafb914a90c153223c2d0fae15002ed900001f2b3fde5b5e6bc7

Observation b379e07c-1be4-4c73-b6e5-81a4ac49b89d · outbound

This paper cites International Conference on Learning Representations , year=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers International Conference on Learning Representations , year=

Reference 44

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source=arxiv_source observed=2026-08-14T04:29:35.580988Z digest=sha256:592d1c1c45334b1cfc8b4b595db6f88194d3aa447f2b6d97a8c56b2f0393b7c9

Observation 76f3bcd0-5afe-43ba-b0e1-d5c3c58aecda · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers OPT: Open Pre-trained Transformer Language Models

Reference 45

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Observation 2c7e031b-e462-4e28-a3a8-13c7cd14ecc2 · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 48

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source=arxiv_source observed=2026-08-14T04:29:35.657486Z digest=sha256:6ae44b19c6bcf12e99775d0a6530f7c9a373fc9b1eb583d3e1c3933393b698f0

Observation 1b3ae405-62ca-48cd-b79a-8de06a7b5c46 · outbound

This paper cites Don`t Stop Pretraining: Adapt Language Models to Domains and Tasks.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Don`t Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 49

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source=arxiv_source observed=2026-08-14T04:29:35.669233Z digest=sha256:0d6cbdd3f7644048c80c41983a6a57e7e238455e2004fb12a56f2eba47b96b07

Observation 6ccf8aa3-46fd-4a44-be27-aec69ee1a3a9 · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 50

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source=arxiv_source observed=2026-08-14T04:29:35.688867Z digest=sha256:7558175d6f7bfd3fdf4dce54b9527c20371b7e9fa8161ceb2a5ea55c9326f034

Observation b173a6e1-fea2-49a4-9c98-7047b61615b7 · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Advances in Neural Information Processing Systems , volume=

Reference 51

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source=arxiv_source observed=2026-08-14T04:29:35.725222Z digest=sha256:85799270fc264cd3968739a16666f87349dac3a8c22f5fd805c48961808ffe3f

Observation 7042c703-f42a-4d2b-8547-e09497c18f0c · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers R ocket QA : An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Reference 52

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source=arxiv_source observed=2026-08-14T04:29:35.758966Z digest=sha256:02998b5788ad14eb7dc9a139cd3733002786fe6e0a1fffeb4c787ed98a5f374c

Observation beec2426-3326-4cf0-95d8-2c48d5e54c83 · outbound

This paper cites 2024 , url=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2024 , url=

Reference 53

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source=arxiv_source observed=2026-08-14T04:29:35.783543Z digest=sha256:80444afab6fb5e116a7de33e336a73e70723877361e4b3f0281c02cde2a39be3

Observation 1a397817-c664-43f3-add9-4b30c560fd29 · outbound

This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 54

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source=arxiv_source observed=2026-08-14T04:29:35.798920Z digest=sha256:e320541fdd282e414c0b3609e8348d475c8a344642ce6a9820b4d1d52ab35746

Observation 779e184a-238b-47a0-ae8a-b11c5ef466c7 · outbound

This paper cites Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations

Reference 55

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source=arxiv_source observed=2026-08-14T04:29:35.817137Z digest=sha256:21e385148f7748afa9fcdae36679a5de36202b41efcb9bc1e24c5a254300e78f

Observation 1df05ddc-5554-4788-9d6f-9944d1ffc90e · outbound

This paper cites Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) , year=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) , year=

Reference 57

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source=arxiv_source observed=2026-08-14T04:29:35.863659Z digest=sha256:ef2e5b3c78926446675abefa246e16484f2d27bb4bdf06098ad9ff4f7e292867

Observation 18d6e6a0-6ba5-4d9e-aa3a-5c48fd9c72f3 · outbound

This paper cites P rompt R eps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers P rompt R eps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval

Reference 58

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source=arxiv_source observed=2026-08-14T04:29:35.883620Z digest=sha256:c4938887b0d1a8b0af4aa6de3a88e9e97b2e126411827f3d6cc2768996c7afc3

Observation dc0bb9bd-5557-409e-819c-c5fec9bbaf5a · outbound

This paper cites S im LM : Pre-training with Representation Bottleneck for Dense Passage Retrieval.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers S im LM : Pre-training with Representation Bottleneck for Dense Passage Retrieval

Reference 59

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source=arxiv_source observed=2026-08-14T04:29:35.909036Z digest=sha256:282654ea33452ddcc44394d2c1924ea10f90f3b5b6df6e6dd2d0629b434a0a39

Observation 76626817-925e-469e-8b42-8e15304c908a · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Large Dual Encoders Are Generalizable Retrievers

Reference 60

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source=arxiv_source observed=2026-08-14T04:29:35.934751Z digest=sha256:76a16bf65437332ef68b11a40427febd05d6678f28147a512c1ee4c173f76523

Observation d2d6df9b-9297-4d0d-a11f-d5ab19da0710 · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers LoRA: Low-Rank Adaptation of Large Language Models

Reference 61

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source=arxiv_source observed=2026-08-14T04:29:35.976592Z digest=sha256:1241650ddce39f8b9ef88639ff94d3b2722650d7718245e32ac7a8a1d8b62767

Observation 6d3489e4-0466-4e7c-912b-5f6db6712be2 · outbound

This paper cites Transactions on Machine Learning Research , year=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Transactions on Machine Learning Research , year=

Reference 62

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source=arxiv_source observed=2026-08-14T04:29:35.991447Z digest=sha256:04aa693fa6012a1bd634471c96d9ba4cdb0b7ae79044cc652ead0abb52319650

Observation 8c920fac-9b2b-40e7-9d48-5cff9181c46a · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 63

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source=arxiv_source observed=2026-08-14T04:29:36.010412Z digest=sha256:8bdce2cc23cd8562e9081b600cefc57c8a0c16bea17aff78848e60132556166d

Observation dc9e0107-896d-4e3b-a5fa-6d01594cfd3b · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 64

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source=arxiv_source observed=2026-08-14T04:29:36.023040Z digest=sha256:b58c9d175486f5f95d63cc5de0f2b2d6e62732b03445d6a92413b3663df9aab8

Observation 54333d1c-b013-487f-83d2-e2de63558ac4 · outbound

This paper cites Journal of machine learning research , volume=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Journal of machine learning research , volume=

Reference 65

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source=arxiv_source observed=2026-08-14T04:29:36.044755Z digest=sha256:5fa38ae87efa5788bad0a1793cc711f2ac55f05ee10dc57e16d80de6358a58cd

Observation 445a0112-ab5c-450e-acb0-7c051616149f · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 66

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source=arxiv_source observed=2026-08-14T04:29:36.077298Z digest=sha256:b56a2f7ac679d57149bcf50c6d8867f4bb8bb6a38cfc85f58e4efdc1a1002b4b

Observation 2956aba7-b4e2-4aae-8051-7d100a154557 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Gaussian Error Linear Units (GELUs)

Reference 67

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source=arxiv_source observed=2026-08-14T04:29:36.082929Z digest=sha256:7c51866b2671fe173acaade84502c3903bb21049b9766432dd1a6f8b2d7afd4d

Observation e9a481ca-ca03-419a-9a25-2ab8cf5215b5 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers The Twelfth International Conference on Learning Representations , year=

Reference 68

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source=arxiv_source observed=2026-08-14T04:29:36.088489Z digest=sha256:d801447c37fd8ef66f23353a42a61bcefc643f26d40010500ef435106e15fb94

Observation 87dbe985-9f3c-4481-8f6f-f1411a50a689 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Categorical Reparameterization with Gumbel-Softmax

Reference 69

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source=arxiv_source observed=2026-08-14T04:29:36.094695Z digest=sha256:4f0b896120623cb85eb4bdb0bdf13f789c6778db1bed174d399daa7d7778078f

Observation dc55b38d-3a76-4f0b-a6d3-a279b966e141 · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval , pages=

Reference 70

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source=arxiv_source observed=2026-08-14T04:29:36.104531Z digest=sha256:8b731c15318aaf17b72fd9ba180efd6bd6e3e5635fca6f27587af8ee758b7017

Observation 1ff96610-b4ef-4951-aa4d-44691b08b314 · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 71

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source=arxiv_source observed=2026-08-14T04:29:36.114042Z digest=sha256:c06aa6fe40b739e3998b2cff717e7d282c4f196d92ff78e0afd355a0f2424f89

Observation a8524912-968e-4944-b80e-4e8e61e8906d · outbound

This paper cites Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression

Reference 72

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source=arxiv_source observed=2026-08-14T04:29:36.142414Z digest=sha256:c2acf352196de7627e050a1be5db93ffb0c236fe51017ecfed9c528824baa778

Observation 2087a0d3-7cfc-4660-b761-f15035da2792 · outbound

This paper cites International Conference on Machine Learning , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers International Conference on Machine Learning , pages=

Reference 73

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source=arxiv_source observed=2026-08-14T04:29:36.160463Z digest=sha256:06ce75930b55a9018bd984f1cd086cdbd327503c0aad8c7691703cf27c78fa93

Observation 6d1c4443-8630-40a9-9a56-11327404a0fd · outbound

This paper cites International Conference on Machine Learning , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers International Conference on Machine Learning , pages=

Reference 74

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source=arxiv_source observed=2026-08-14T04:29:36.177436Z digest=sha256:9e93d0bf050a85653a1ace5b0b839fef4074220f1a24dbe425b59551816bb51d

Observation 4a24b859-4799-4d49-95bc-e123c144dce5 · outbound

This paper cites CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

Reference 75

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source=arxiv_source observed=2026-08-14T04:29:36.184754Z digest=sha256:0ae13549de070bc3a0cf76b5a361a7e2cfe833e81bd1cd154ba98814cf7b8e21

Observation e12b0fac-704e-455c-a62f-d6da95a0d765 · outbound

This paper cites ACM SIGIR Forum , volume=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers ACM SIGIR Forum , volume=

Reference 76

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source=arxiv_source observed=2026-08-14T04:29:36.190396Z digest=sha256:eef8093e9f8d089a4841b4b7f2075c176190d51d3be22b801045c847a3900360

Observation 9e28da2f-2dad-41d8-acc4-f736c294f818 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 77

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source=arxiv_source observed=2026-08-14T04:29:36.205951Z digest=sha256:012b0434213894505eac1b259db0e77680b96f1ab49c3b9b46bcc1188be63cc5

Observation 7bb6d0a3-72d9-49ea-9607-48a9cdcba215 · outbound

This paper cites and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav

Reference 78

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source=arxiv_source observed=2026-08-14T04:29:36.218760Z digest=sha256:e7118924b0146f3089006a48303b70ab261bd462aea01ef1d4b1e932183b429f

Observation 36085ab7-1e76-4c2f-800a-dd04ff1176d4 · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

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source=arxiv_source observed=2026-08-14T04:29:36.251374Z digest=sha256:82491eda8bd8ca13d7134663fffa07c4a2eb27dda1cc7137139736c622494690

Observation 2f4e4196-89cf-48a3-b9ce-fe5fc47e2ab5 · outbound

This paper cites Overview of Touch.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Overview of Touch

Reference 80

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source=arxiv_source observed=2026-08-14T04:29:36.273501Z digest=sha256:0537fdb52f80f4f1c10030068e80f210c4b2ead0c76bfc9b255058c172fea0ce

Observation cbe4292a-c008-4027-87b1-839c3a8088da · outbound

This paper cites Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 81

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source=arxiv_source observed=2026-08-14T04:29:36.290370Z digest=sha256:1cb80d2cc737759b6e824f0f37dc7157b5af05b9477cfe55302c028d7a85a43f

Observation 4f1a97db-a4c8-41e0-ad86-b7409bf55428 · outbound

This paper cites SPECTER: Document-level Representation Learning using Citation-informed Transformers.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers SPECTER: Document-level Representation Learning using Citation-informed Transformers

Reference 82

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source=arxiv_source observed=2026-08-14T04:29:36.318156Z digest=sha256:9e2bdbece7b367326d4d669e61dfcb447461b243d57a23fe2f260f6ea6b17115

Observation d96b68ac-cd40-4b19-9d35-87ff57f2affd · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 83

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no resolver link, observed 2026-08-14T04:29:36.332586Z

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source=arxiv_source observed=2026-08-14T04:29:36.332586Z digest=sha256:6142c5bf1f4cff090caf6cc44d2371fb375edfba33c3a03f395900b3e39e2de2

Observation 990f0780-44a8-4a32-9f6f-7f0393cd4b0b · outbound

This paper cites Fact or Fiction: Verifying Scientific Claims.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Fact or Fiction: Verifying Scientific Claims

Reference 84

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no resolver link, observed 2026-08-14T04:29:36.346960Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.346960Z digest=sha256:7b1b8eeabf1a9c5c325c2ca49adfa2d5538a718812f79e0c52955d7b0b6a7178

Observation 2bb37b9e-bdd8-499c-a464-1c9f7ca2f8cc · outbound

This paper cites Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20--23, 2016.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20--23, 2016

Reference 85

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source=arxiv_source observed=2026-08-14T04:29:36.364050Z digest=sha256:fa91e2a08d310ba99b877791fa1ef1f409a86e4d5f03080d9fe5e960fd870c58

Observation 4bd9ff9b-332d-468d-a10a-8e02b318211e · outbound

This paper cites Companion proceedings of the the web conference 2018 , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Companion proceedings of the the web conference 2018 , pages=

Reference 86

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no resolver link, observed 2026-08-14T04:29:36.387862Z

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source=arxiv_source observed=2026-08-14T04:29:36.387862Z digest=sha256:00a33682daa580da9913138e525658e8b997325872c4ef80c13f92cbca254261

Observation a3228ac9-4669-4fb1-adb6-6b3af7523bbd · outbound

This paper cites SGPT: GPT Sentence Embeddings for Semantic Search.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers SGPT: GPT Sentence Embeddings for Semantic Search

Reference 87

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no resolver link, observed 2026-08-14T04:29:36.417619Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.417619Z digest=sha256:fbcfc7094d5724f9cf5032a0914539e314386f0f272a56a547d2a9b7352e6fcc

Observation 056c31fb-e11d-45b2-8c57-98a322925f15 · outbound

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

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 88

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no resolver link, observed 2026-08-14T04:29:36.491453Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.491453Z digest=sha256:14fb4e7c57e4674dd052c5077acfa451b68c40202b4559e1b75823beeef1e8d0

Observation 1bc96562-0039-461a-a4fa-15614139253c · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Improving Text Embeddings with Large Language Models

Reference 89

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no resolver link, observed 2026-08-14T04:29:36.532004Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.532004Z digest=sha256:d788cd5d2dd4e5cafc816151e7ff2bfea40fae06cc15586a34a89fbdaa46dec4

Observation cd7c75e3-6eef-4af3-afd4-1b4c43a2b379 · outbound

This paper cites Proceedings of the 1984 ACM SIGMOD International Conference on Management of Data , pages =.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 1984 ACM SIGMOD International Conference on Management of Data , pages =

Reference 90

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metadata mismatch
raw_fallback, observed 2026-08-14T04:29:41.192971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T04:29:36.584759Z digest=sha256:e2a73ff678c267120b9b97a98a1a8c0ce5f45e708e869c9ec13e495e1874443b

Observation 5dc89f20-7d7d-4651-887e-17bbffbccca4 · outbound

This paper cites Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval , pages=

Reference 91

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source=arxiv_source observed=2026-08-14T04:29:36.634753Z digest=sha256:371f2598f35b9d5932d7976c52c7e089738892b1f00068842fd32866c687ede2

Observation ada06616-8d4f-441f-b28e-4226801e5d4b · outbound

This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 92

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source=arxiv_source observed=2026-08-14T04:29:36.666071Z digest=sha256:4f59414c98eba82c2889bc6d10fb415114368747e1aebbecbfa4cd33bc8065d3

Observation 0a3fcc9a-1db9-449d-8318-3b1c2a89b2da · outbound

This paper cites Journal of Machine Learning Research , volume=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Journal of Machine Learning Research , volume=

Reference 93

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no resolver link, observed 2026-08-14T04:29:36.687407Z

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source=arxiv_source observed=2026-08-14T04:29:36.687407Z digest=sha256:5704477a9a25c5373f4680acf3cdabd033b2a3724678a51ca022bb5d6a29605a

Observation 213b3c61-292d-4a03-931e-b84597e06ea2 · outbound

This paper cites Qwen2-Audio Technical Report.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Qwen2-Audio Technical Report

Reference 94

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source=arxiv_source observed=2026-08-14T04:29:36.717126Z digest=sha256:841644fdd9c9e4f981b85d44a34ea31e404f7654f8ca91d913e3a9bf81d59ea5

Observation 861b6568-9708-4f54-b28a-c7ab3f902708 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 95

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no resolver link, observed 2026-08-14T04:29:36.727843Z

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source=arxiv_source observed=2026-08-14T04:29:36.727843Z digest=sha256:eb22db50591fbbf662009e7043dc7d030269f5c7ee8d7d06825d458c0ca4a37a

Observation 853f9b11-00f8-4b9c-a491-c18a96a08e88 · outbound

This paper cites Distillation versus Contrastive Learning: How to Train Your Rerankers.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Distillation versus Contrastive Learning: How to Train Your Rerankers

Reference 96

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verified exact
doi, observed 2026-08-14T04:29:39.667003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T04:29:36.757429Z digest=sha256:6b35a26363b33403a219526e011a0bbb18f08090049d9f6c1e0f2a8440e1fe13

Observation 0b94fba5-e00e-4fad-a7cb-7d89832f65aa · outbound

This paper cites 2015 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2015 , eprint=

Reference 97

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source=arxiv_source observed=2026-08-14T04:29:36.763941Z digest=sha256:2bb4b5f80186269857c24894294c9dc8d28b9671fc555744c2d4e87c19c37cc1

Observation 10d615de-a452-45c1-b18f-592af6cc1375 · outbound

This paper cites 2025 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2025 , eprint=

Reference 98

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no resolver link, observed 2026-08-14T04:29:36.783386Z

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source=arxiv_source observed=2026-08-14T04:29:36.783386Z digest=sha256:18ee3777f2a86fbaa2c6311fa07af26b8468c078eb7ed99c8f295c55545d5018

Observation 683b43c5-4ccf-4ff9-8bf0-1d98ae8461df · outbound

This paper cites 2023 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2023 , eprint=

Reference 99

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no resolver link, observed 2026-08-14T04:29:36.802856Z

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source=arxiv_source observed=2026-08-14T04:29:36.802856Z digest=sha256:b008845688f04fd56cd722815e463a04a38339b74e4d34afd9a5edc3bc1ab707

Observation 64a09c78-9273-42a9-9f98-0c41a9ae41bf · outbound

This paper cites 2024 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2024 , eprint=

Reference 100

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no resolver link, observed 2026-08-14T04:29:36.820001Z

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source=arxiv_source observed=2026-08-14T04:29:36.820001Z digest=sha256:2aa371c61eac0f04efde64dfb5b3abd32f7d3511304996509a10d5a851271354

Observation b2c0d426-a003-427d-b706-f4eebf7249b4 · outbound

This paper cites Latent Retrieval for Weakly Supervised Open Domain Question Answering.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Latent Retrieval for Weakly Supervised Open Domain Question Answering

Reference 101

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no resolver link, observed 2026-08-14T04:29:36.835275Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.835275Z digest=sha256:9a7e9c075afda8a5db0e0733717c1775ce09efe1d81a87cf6a6221e7f0317628

Observation 0a4bbcbf-9f9e-45c3-b7e2-ef1c40326ae5 · outbound

This paper cites CSPLADE : Learned Sparse Retrieval with Causal Language Models.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers CSPLADE : Learned Sparse Retrieval with Causal Language Models

Reference 102

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verified exact
doi, observed 2026-08-14T04:29:39.558894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T04:29:36.863260Z digest=sha256:306f76cf89c8407fe4f90ba7282e2496dd628d8d145163f56a0d2d51ee3c2b25

Observation 2fe0c725-f3a1-448c-9e78-38a16eaf76b2 · outbound

This paper cites 2024 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2024 , eprint=

Reference 103

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no resolver link, observed 2026-08-14T04:29:36.891591Z

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source=arxiv_source observed=2026-08-14T04:29:36.891591Z digest=sha256:e1c2a30843ac0935f023d03b505c6e48827639c8a565b0235eb79d4cfb53039e

Observation 846d3598-7dea-4146-8d51-04f7422af842 · outbound

This paper cites Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 104

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no resolver link, observed 2026-08-14T04:29:36.912733Z

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source=arxiv_source observed=2026-08-14T04:29:36.912733Z digest=sha256:e5321dff2587548fbce043e5f66be3d32772b9d8351dec6a692fcb5909d6aa29

Observation 8fcf0236-465c-4df9-ac80-9e85fefd4325 · outbound

This paper cites 2025 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2025 , eprint=

Reference 105

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no resolver link, observed 2026-08-14T04:29:36.956403Z

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source=arxiv_source observed=2026-08-14T04:29:36.956403Z digest=sha256:a2a13bc8ee7afc4aba17ea84384bf26531e8799616451c8ce0dc256871bbc298

Observation 7682ffad-9926-4f38-9b20-873a11e49a64 · outbound

This paper cites 2024 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2024 , eprint=

Reference 106

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no resolver link, observed 2026-08-14T04:29:36.979141Z

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source=arxiv_source observed=2026-08-14T04:29:36.979141Z digest=sha256:9564d2d2ec94ce6a4f8d4b2ba67fe0f60eceb052836971161564d8fd60b6a2fa

Observation 4755ae3e-216f-4cd1-96e2-f6ad5104453c · outbound

This paper cites 2024 , eprint=.

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers 2024 , eprint=

Reference 107

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no resolver link, observed 2026-08-14T04:29:36.986344Z

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source=arxiv_source observed=2026-08-14T04:29:36.986344Z digest=sha256:cd81eaf74f1f3849777ee703cdefdd4f90863eda496a8551164e86492cc57ffc

Pith citing papers

No inbound Pith citation observations are available.