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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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
  • metadata mismatch1

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

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

Reference 34

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Observation 4f650d2a-89d2-49c2-bfbe-5bb18f770f18 · outbound

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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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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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source=arxiv_source observed=2026-08-14T04:29:35.514828Z digest=sha256:55a70eb61894d5667c08eb9db4ccaa029cd2376569e5559edf6c96f3372dbdea

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=sha256:4ebe630eaa3b5c901091a7e9d82eb63a741a93d560261244cf4f9b72d269cb68

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=sha256:44807cbf47c1ac9c260e4281dc2a3c47d55618eb7f6decc9b277f7f281d08014

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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source=arxiv_source observed=2026-08-14T04:29:35.594236Z digest=sha256:3ee11e57211a90aee845275f5177f1df424bb7839491f11e9385d0b6b91b59db

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:e0b8c4d7f15b0fcd8772e4ca29bb00a02af36fa122eb475833f4f2846c1ad8bd

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=sha256:3d081ff1daf09483df2e10317d7f5b16b07f26822b0684d216559a8a91df4272

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=sha256:1fd31651a64fe4913b2cba4f9bc663455f679e1c15147eeb4b4ae1b9d3929d05

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:c7f3c424cd66a6beb3d6f06960b7cc1b9ad2979fe1ea95abaf23f5b99a824b3f

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:c699be1c993b57f6a7533b01235dac665c2768ed1b89fec421af08e4ea54d424

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:fa031221d0a8b9098bef0e03baf91f113cf4aaa2c54669309d709c18738e3dc0

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=sha256:54642c70e610320838aa668ab4cc140fdc685b31f6008179e3da34790bba3af8

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=sha256:9b3d7f26ae33a2f397c5b1bcad1cb893a7a4d9cf0728ecae5443b9b1af594a5f

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=sha256:61a26dd8420c970231df3697aab014e05698f0b44051d915cb645a26ce9b90e7

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=sha256:2eb2f46f6808541ac9cefba2f8fc726d7052a63b3a6bcacb58f65d899402bb4a

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=sha256:550a00012e6b8b78a7a7c4bc29093fcc6691541e81aded0544c338e1aa1c1c98

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=sha256:39395c103eb31dbee29a7306991fd6ba5f257198ef14d948fa53fe1900a7dd28

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=sha256:89fa4dfb6f81bbdfd9a426879a322f6665773ff84735fa1ad55e8277408d4672

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:dffc5786e035b99c855aafb7645cabadc25debc51f7b6e319c1d31ce8f875193

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=sha256:085c79290bed2907217631a69ffeb8ca8c349f4bd458af9191594bceb5078524

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=sha256:01a3d2222a57f4389bf6779e80b28e27322f944e524c900da4c8cce7d8f8d4a4

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=sha256:8f0bed43aff84e5319523d33238435ccc03357870568df776ce166ba257be21c

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=sha256:5e03872e91dfb3ce36b4f637923902e438d8e53325f8bc2f7920098cbece7e74

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=sha256:5405382e1f948ddacd25cff45f9d3097ed514a151fdfced25e2806d09b8e5765

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:ed2deeebcc83583f39ec4ccac2d82bb98d88864d510219f63153c5a789c8f232

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=sha256:0cc4ba12eaa52bc61cbef86fab054b8d165d2764de9629a07e2d40042d949ac2

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=sha256:3c28c04b7414de6f9d227da2c147c389a49788084708e03bf996a6cdae356c40

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=sha256:0af6f8aa1b67770277f228f1abc8bf2889a18c1f1539101d62f8a5bff6dde88d

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:ed9bc43eee0afa43a9b8a8ef15347403cbc1aeb675a8a7ca4bc122357788a27d

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:d7fd20d4ed1d60ed6fe759e3d27dcd7501486623346b3c9522f30ff4f7d5c9e8

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=sha256:15f3538bf27e5ea6ce6d55007b3cbca0c90048cc09361354f229eb5997c73a57

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:f5cd9cf3f35339dd224c674c044524c9a268d949a41244f26d037b760983f720

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:a7c63705d0f027104f5ef886823c7694b7646b43c01c3b8cbd4867012b8f31af

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:b4f8f60502a8a6a892b6f3aa86b20c0b743d854515801e58e0fb38ef8f8f23b5

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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malformed identifier
no resolver link, observed 2026-08-14T04:29:36.218760Z

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source=arxiv_source observed=2026-08-14T04:29:36.218760Z digest=sha256:8c7ddcc34821e1983896c83cf1bdbd8e5a1425fc0af9334732bd013578be0d81

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:b54676fb6eb33f0251ddf5b1ec59279e8125563c3a1cb8d185f5a4161aa46481

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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no resolver link, observed 2026-08-14T04:29:36.273501Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.273501Z digest=sha256:ecf37a4779d59bc1f0171ab7ae4883ebe6c1f55d65df1f983671ef7f9d437697

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=sha256:270820b48c9a4846e133a50b1cee9f8416159d7bfc6b94e2f8b43d11ff7122c7

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=sha256:310717e27bbf8329833d63ea9dfe5e13250d89625b77b87920585523c68929e2

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:fb9957eec81b0870dc398e97d898e24f9932dfb158a259478007caf5fc7b224b

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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source=arxiv_source observed=2026-08-14T04:29:36.346960Z digest=sha256:550fa8ed9910573e9f2271b65a514bf835d537f3ed5d978510bf1d6629be2c4e

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:f44013c09c29290b9731e62f5418aeb8d7b12ffea9d6b5f69be2994e7f961b7d

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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source=arxiv_source observed=2026-08-14T04:29:36.387862Z digest=sha256:aeadf53e4147c4a6d455c77545a4c482fb347b91f40f10ad604cd40ef333abd4

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=sha256:86cef48b4b121ce8cba6d2913ae2bb6ec729f9b12ec5f03aae5d64742dcb4fc9

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:fb8e7748f2a69191b899df56219f52ef6fb10bde4e52aeb0336584b4fb1fada8

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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source=arxiv_source observed=2026-08-14T04:29:36.532004Z digest=sha256:5014f2569d9559a66841d31314f219fecf6d0b365af138d3e7a63e7f4e64487b

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

source=arxiv_source observed=2026-08-14T04:29:36.584759Z digest=sha256:def844b6e1ec926656fbdbfc62befe632c5975cbbdfae4658b633454a36d872b

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:c7a4d4614867af308c4259dfe3a4499b0c8b06cd4b8dd13b9003d8f41a9b3c2e

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=sha256:85489ea639af928a298c9d97077ad7c99e3131e35370b51503774f33d7859da7

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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source=arxiv_source observed=2026-08-14T04:29:36.687407Z digest=sha256:a9ed88557fb8ded6aa6f16d09f8314f7a254f0323d13c41464a95684a8b15e0a

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=sha256:325e13179ed298d6bbc074105aa66e526a48d86147bd93b89996bd3c962ccd28

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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source=arxiv_source observed=2026-08-14T04:29:36.727843Z digest=sha256:108dc0bf6f3df267a859350483ceb322046ecff49294b3b8914b1c2a240ed789

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

source=arxiv_source observed=2026-08-14T04:29:36.757429Z digest=sha256:6a1ee8b9cd0a19f0a2d4d40ebefcfdeef821c4addc582b9feb5cb11da654761f

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=sha256:954478407d189829dc0bb0446b45963a92759e6e466086bdef5a9d7bad005651

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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source=arxiv_source observed=2026-08-14T04:29:36.783386Z digest=sha256:4ffcd179c904f00e96482a2f29fb5609e81a9e27d11e388223a29992608bdc9f

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=sha256:10933bd9b1cf88da2c98644efc75805541cf06d4d1087435d083f6592c115033

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:dfda3e08ce61d3d166e529d28bf107b6d96f6a17f884b3d6e7073cc77ba0e50a

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:a7eca35d251ca0acd50949615709406c5b7d78839fe60e6a4c7e865f1208c2b6

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

source=arxiv_source observed=2026-08-14T04:29:36.863260Z digest=sha256:58c850fc7c82dfc80c3a05349a7b9b8f91e16b08408ee0783d7431cc2e6be94f

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=sha256:538259aca575f9b420bd44c9a8b9a27c723d49adddcbf5c4f808828caffdfcbe

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=sha256:0ab7be2f7f8b9d556c05a40b91313097094fb799ddf75fa2b9f53229a3fb3ae9

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=sha256:2e8d2ffd7a39fb1869640c375e8faece1318287590eea9d64680f92fccbaa415

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:eab93beeca12f7fba8ecfc893a4fd14dae3873c45f93990a31c50d4a8adb6434

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.986344Z digest=sha256:9f996852c94eaf4d0cab16ee954510a371f8628bef2c825879fef7bd7dea5f6a

Pith citing papers

No inbound Pith citation observations are available.