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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
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

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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source=arxiv_source observed=2026-08-14T04:29:34.482085Z digest=sha256:e68bf21c3081ce8a6321727463ebb7768e5f2e8a464e102f17d89968805dbbf4

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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Observation 81534f56-c39b-4228-9c5e-fdd6e3fb0e72 · outbound

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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Observation 9605356a-5922-4fc9-8837-e82f9b525e3f · 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 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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Observation ae3d2452-67f8-45ac-97c0-e854a20f3159 · outbound

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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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Observation d3801888-bf6d-41ca-9a3a-519931ce823f · outbound

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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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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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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

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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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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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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=sha256:30cdbec2fc95615e23f34825632885185099cb34d2a017cb91e538792a2f8575

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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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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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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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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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:aee206f45100678c309347d81057da3f634ec9f9c5dcaed00b05a6d2cb61ca90

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=sha256:7a4bfb727285d5834910e1353425631fbe1ada32493738ed69c531e627f7b893

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:ba8ca41fbf5c400a8990d21627038d9f720a635421da7bc32160ae689ca65770

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:eb3fdfdf39d87e476a6fbc491f2e3b86288fe80efff7292a32afde06b9762c68

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=sha256:5826d01450fafc3c7a0ce54ee5feaf53375884be090fc36a531177aaaa1f3bbd

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=sha256:11882fc1349cff1b128f3116ad003f683a1a4d9cd616db3ddc72e4b35ed82e66

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=sha256:0abbce3c55e7d3d2be329c4a1776a1527531c283ea1f996fa9eba51fe6905fe0

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=sha256:1a6c654d789d2b163154e3860265f665412d2548346d76889b9faeb0eb359724

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=sha256:96b8bc2f6af394b0cfbbc75da102936f8ed100aedffd27a306f4c49d48148cf0

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:ebc25bf89a3282f9a4d38d64a92d97632b79055e60cff48cc2a0935063fd12e5

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=sha256:939927a618c6698cb822f4e18b4e61f6c7978d94195679cf46aaee8f8123f448

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=sha256:0feb05894cb9848095fa53abf222daae8e58842f1d78a16283b14d9b2ab16a98

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=sha256:35782741c52e6b470363473d75a9eda39115f3ff99805563613d1f359dc8cc0c

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:a049287873818b90d49a08a1da2459f277abc30fe37ecd0ee75473bfc0bd9c8a

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=sha256:63c40035a8a2e8a3e7e4c66eacd4dfcfd9e484c32647ea39ddceb7400d4ab819

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=sha256:0ddcfacfde97a497a87825dc011f81467ff641869b7660c9c8f218fca0261383

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=sha256:15d7e87be11697d5682337d1924dae7a3cc478bd2d960b75f0ef2e6505c19b5c

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=sha256:36db2617a1cf95a50eab2955b2c979d1211cc0207a16c9c08420e7505b2d3029

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=

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source=arxiv_source observed=2026-08-14T04:29:36.114042Z digest=sha256:6e65c2da7136dc69c8e9176992c551a3e2844ff49eb19f0e3204f65f82d63f7b

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=sha256:8b66e12865d99f8a5ab71278814323083a2323339a9f86a0ccaebf93c8184391

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:b56f5fc7fb6e26b8a89c56611f50e6242a4cb41f933360a092f3c934e897a436

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:b0f42dbc614b1664fe878a772d1ad1376645ae9e2b772f656520e58e161f1522

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=sha256:1d057e06cdd2f6ed2582ccf497ea99954778621d9e95d4f99095560bf7d8886c

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=sha256:9ebcc13f53c189afbe0fd8379a4042b7507a900ce19aac2fd24807bb2c0499da

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:c6a4cd1a18a40bbbe38b2be3b8ddecc5d4f9f04848117c80116063b04c121e7e

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

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source=arxiv_source observed=2026-08-14T04:29:36.218760Z digest=sha256:21e361eea4d8b6004880f1919eeb731d6238e1adda143aace70f7db0ba5a9a6b

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:b0947be77b2b01e719f943f959701b2f498e7bf97fb6815d1acec1a8c8d3820e

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:c5d7e64376c80f969af228548f61ab87deff6670a3813ee00c0cd057d9ce2039

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:f3efd935089ca094903611884e6c03b1dfa228fdb0251e91b3916b8e21a51e7b

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=sha256:406ea64fba38259701e03880ebe6cb8c645ec45cbb999cfc5d55ed9e7ba19cdb

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=sha256:344b61b9c6d00ede2d7ca8153c5b877e884ad79e59b75d7b1c55a0768bba8c2a

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-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.346960Z digest=sha256:a8f2f264958f48ec91543333ec58ab6e67738b0d85661045a386951154a55712

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=sha256:928ce24ad77596d981bf6fa3fb0ca775c704706b691e0a4aae63aa895889eded

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=sha256:4f5ac947d170a141ecb4b19090a0a808da2c2de3e505a9ad9909f35c446dcc2c

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:c4a1be6b62adfd3a6674d82746a8e44e0ccbac011b84d5363c7745587e6b1017

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:ddd10ebe7df3d8b69d89c3e0c92d2e279630dd870fa9ccbadd627bf540390b3a

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:d8eea55e8dec0dabb4a98e5739b92948f9a83407290960740fdd0eea09d15c74

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=sha256:3598e5f914e379af9f18e46180fbde3737c0e8a13267d7e17274d7def221b4c4

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:a129ba5ab0c30f20ab6426d859af98632b2f92edd2cbebd4522d7df31176c5af

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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no resolver link, observed 2026-08-14T04:29:36.666071Z

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source=arxiv_source observed=2026-08-14T04:29:36.666071Z digest=sha256:38f2c40b0e4649d5584a05252a7f1f9ad457772da876a267cb8be63bd8f21325

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:e0ce799fb0d8338fa2d2b87b06c2d6ae3f24edcfe8be51e054f894747e958f25

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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no resolver link, observed 2026-08-14T04:29:36.717126Z

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source=arxiv_source observed=2026-08-14T04:29:36.717126Z digest=sha256:72b834de9576999fdf9638ce9d0bf14da475f70a91d6f278ef769b8348dd93f9

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:f4fae4fd436f0856c4bba8ae091369fd5bc597f38d5d3fa906d5b81b90b7dfa2

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:f890f434d7383a2d6092765248a912fe34cc767a15de0a1a4bcd5ca3e6eeaaf6

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:c3a17f94b8d70ffcd4ee6c7dee8e42db2164f781daa5a8b9f291c8d53adc1d6f

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:b5236de85e707f37658fd41aac87f3b771e71cbc817e0e145124cc183d5be103

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=sha256:8d4ef7220a06690a9efac00ffe39a87486dd43ce8e7c260b8c85aeb53344b60c

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=sha256:13fed497adf850bd99ede15baaae88e512dce3c3071cffdfc7393ff8cdbeb6f3

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=sha256:7a72c4e0e706193354fcf5cb892e848a482713384649bda46ab520c31b1cb29a

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:f9ff7fa3a895f1e532170de32d8adc6d1d17a32eefb644f9f6b42370d7e6988e

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.891591Z digest=sha256:3b45a6651d875536f071faf4a304bd3b810933799b3168630752d666039138b6

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.912733Z digest=sha256:762256011c011afce9223f3bc26869a27543c7a49d39ec7e4d70a10a2f7e830a

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=sha256:20fd950f31dbec46353091adbf34ffdfbc07113e5bab332bfe53b5bc363c3e7f

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T04:29:36.979141Z digest=sha256:0176698e756e5e3bed3ca3affb98a8e0836e4162a3af5498811ff0b36c79cb8b

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:b9e902dad619eae20e6e3ec0891eb2e7e9e9b9b4696949e9bc696a26bb800cb7

Pith citing papers

No inbound Pith citation observations are available.