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Paper Citation Record · LEDGER

ICLERB: In-Context Learning Embedding and Reranker Benchmark

As of 12 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2411.18947.

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

pith.paper-citation-record.v1
2411.18947 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:46:46.217142Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy54
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7218aaf5-602e-4cc9-ad67-5f8867fca5a9 · outbound

This paper cites Transformers as statisticians: Provable in-context learning with in-context algorithm selection.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Transformers as statisticians: Provable in-context learning with in-context algorithm selection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.264743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.912608Z digest=sha256:675615d55c2d6762149fb0f5d235aa741fbbbef7b80e9c13acb4240001ae1fcf

Observation 199cb773-72f8-4375-9bc5-3212203d95b1 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset, 2018.

ICLERB: In-Context Learning Embedding and Reranker Benchmark MS MARCO: A Human Generated MAchine Reading COmprehension Dataset, 2018

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.250663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.918103Z digest=sha256:80d642ca9a356810ddf1927a0b841f7f721a99010e0c560df9d92990747f3736

Observation b31d7a35-dd8b-4e14-8996-74c1c2f801be · outbound

This paper cites A Test Collection for Entity Search in DBpedia.

ICLERB: In-Context Learning Embedding and Reranker Benchmark A Test Collection for Entity Search in DBpedia

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.236999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.922829Z digest=sha256:116420c6e707612c7b53eb2735087d5ffa49a2c24d59223fc3d5f6f670789573

Observation b39177f6-ad34-43a4-8dd0-32c0e4b8e88a · outbound

This paper cites Bowman, Gabor Angeli, Christopher Potts, and Christopher D.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Bowman, Gabor Angeli, Christopher Potts, and Christopher D

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.222900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.927756Z digest=sha256:10f3608b25b9175ae035066fc2ff793e09fcfd819f9bf6b93e5f1791a825eee4

Observation 530d1da3-080c-46bb-9b69-490560376f1a · outbound

This paper cites an unresolved cited work.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:46:47.208570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.932522Z digest=sha256:99a9c7af889139187410523599cc274c49bda331b417fb6908f7f0ccf8c269a4

Observation ffc56339-ba08-46cc-a716-01404401d1cc · outbound

This paper cites Learning to Rank with Nonsmooth Cost Functions.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Learning to Rank with Nonsmooth Cost Functions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.194979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.937388Z digest=sha256:544b2bfd021312e12c173069a2b1aaa3ec8dbd31b70f2d67ee7d037a2be81dd8

Observation 2491a281-ab12-4fec-b6cb-63e623148604 · outbound

This paper cites Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.181017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.942924Z digest=sha256:180dda8369b3d74569e62a4cd697213fa0b423635e2ba6faa414341f6a89f6aa

Observation 168e4e17-d8d5-4ca5-bd79-92b6591ff640 · outbound

This paper cites an unresolved cited work.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:46:47.167048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.947552Z digest=sha256:1bbdd4322e559e16b2257e7e744b06577e7aad3724f2eb2361d8179848c3aa81

Observation ef3d55d8-9705-4b0c-a53b-62690be19b4d · outbound

This paper cites Cohere Embed Model.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Cohere Embed Model

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.152410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.951921Z digest=sha256:38f64eea31c642f8782719b769bc1445883111dba78dc49d92f8332279553b19

Observation 9307c3d9-d6f9-4d8e-92df-60004372c490 · outbound

This paper cites Cohere Rerank Model.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Cohere Rerank Model

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.137873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.956184Z digest=sha256:dfc4abe0ff301b5a7ee41ac1449013307c05a91bdc0766f953a763844263422a

Observation 3d10e32c-92c0-4d90-b6c9-52b9e9f2aa0b · outbound

This paper cites RAGSys: Item-Cold-Start Recommender as RAG System.

ICLERB: In-Context Learning Embedding and Reranker Benchmark RAGSys: Item-Cold-Start Recommender as RAG System

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.124158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.960578Z digest=sha256:18e3f1a5f74973e59b2f969b66fa601bd10f980c23b9e6551b6711035d15185d

Observation 263f8936-4272-4373-83dc-1f77ac507920 · outbound

This paper cites Zeta-Alpha-E5-Mistral.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Zeta-Alpha-E5-Mistral

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.109336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.965064Z digest=sha256:60cd2c8d77edf2039d529cd4c120c7df6583d9331be8dd95e459d7b5cdf4e4b4

Observation 7598e1d1-229f-436b-a8bc-d7b07e28939d · outbound

This paper cites Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, and Even Oldridge.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, and Even Oldridge

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.094866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.969835Z digest=sha256:dd31bffac298c1725a9dffaee0958db3752439e9f46138b0208461f742aa9d86

Observation f1783f13-06ab-4949-a951-ca850e067ad3 · outbound

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

ICLERB: In-Context Learning Embedding and Reranker Benchmark BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.080319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.974034Z digest=sha256:4f03326089e68857f0c23d0d918ca4fc7ffe9124e05b7f04047e9a2645dff4fa

Observation d2ae367e-987f-414c-a4b3-38f79d8bc01c · outbound

This paper cites A Survey on In-context Learning.

ICLERB: In-Context Learning Embedding and Reranker Benchmark A Survey on In-context Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:45.978460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:45.978460Z digest=sha256:25627537b59ab8327ee27ac0e8975f8e2ea0508212f60729f1efa34200a39acf

Observation 4b050920-4c9d-4349-ab75-0b9d0d50f4fa · outbound

This paper cites The Faiss library.

ICLERB: In-Context Learning Embedding and Reranker Benchmark The Faiss library

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:45.983477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:45.983477Z digest=sha256:36b624e020344c5278d5a6d4280bd9382fe46c5ab6baab196d9d35626292ce9a

Observation 6f84e973-ec53-489b-8b41-16f2c6591ad5 · outbound

This paper cites The Llama 3 Herd of Models.

ICLERB: In-Context Learning Embedding and Reranker Benchmark The Llama 3 Herd of Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:45.988141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:45.988141Z digest=sha256:4c6009a1e0cc691f3ed9a3a016a841a381831813a7a4339b0cdd7da5d381fa8e

Observation af047037-c053-4ac9-be20-c93cd3bfd6a7 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

ICLERB: In-Context Learning Embedding and Reranker Benchmark SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.064057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.993052Z digest=sha256:434ee2c00e606a2dce74fe48f64169490428a870b34999476e13505eafecb3ed

Observation cc41b64e-f724-4c09-9065-695f37162941 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classifi- cation, 2018.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Universal Language Model Fine-tuning for Text Classifi- cation, 2018

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.047173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:45.997540Z digest=sha256:62d63639038319070eddd56051361d4ccbf92282473ecce09ff1ac59c3aebedf

Observation b8f3737d-3b52-4894-8857-c59bfd45d15c · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.031947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.002132Z digest=sha256:747381c5c92fb75fee5a76e389ac40c21b9a0ab6566ffe20dd267e2011627d3c

Observation 755d7b2c-b3cb-400a-86b6-5d6689e1b7e3 · outbound

This paper cites Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.017388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.006539Z digest=sha256:4a376a21601484adde9c785aef6657c99f03933083f3d099ca66f08549a03a5a

Observation 9201c795-da07-4d5e-a89b-1ff667e09994 · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models, 2022.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Atlas: Few-shot Learning with Retrieval Augmented Language Models, 2022

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:47.002180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.011094Z digest=sha256:728d7cee0f9cf7b59bfbd1ce434e1f2f60a4fd9b91edfe96fcf86d8b7606eb00

Observation e217f094-c281-4aa3-bff8-c6eb15b360cf · outbound

This paper cites Cumulated Gain-Based Evaluation of IR Techniques.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Cumulated Gain-Based Evaluation of IR Techniques

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.986970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.015487Z digest=sha256:7c4e598bb71c978ee1cea586883a07768bd895b8569babb2bb8e2509903fbad5

Observation a00b6226-9ee5-4aca-a8c9-77c89f676d25 · outbound

This paper cites an unresolved cited work.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.019818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.019818Z digest=sha256:7e2fdc98806fc97399515e8a9b5e5132d079102137d7d4a331f0d4840c436321

Observation 4ff88b68-6512-40b4-be94-76170cddf6f7 · outbound

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

ICLERB: In-Context Learning Embedding and Reranker Benchmark Dense Passage Retrieval for Open-Domain Question Answering

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.962547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.024136Z digest=sha256:8f7b77b38898947b917d9952686497157ccab481991b159e214dc0b89a6670e5

Observation 22424a87-5a2c-421e-82db-45976179f826 · outbound

This paper cites ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT.

ICLERB: In-Context Learning Embedding and Reranker Benchmark ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.946873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.028518Z digest=sha256:6dcf3f17fa62b5579be0271f62b0456f93d21bf1c11b20640183df6749e69674

Observation 37fa7d32-bf85-4774-9a0e-21d93be5c5b2 · outbound

This paper cites Linq-Embed-Mistral:Elevating Text Retrieval with Improved GPT Data Through Task-Specific Control and Quality Refinement.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Linq-Embed-Mistral:Elevating Text Retrieval with Improved GPT Data Through Task-Specific Control and Quality Refinement

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.932267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.032705Z digest=sha256:8d22aa96d76e7c2fda45d2ba01399d6151a85232d049acb1662ef470f523c040

Observation 5ded228d-ad84-4c74-94d2-b5e8348198eb · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.916675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.037361Z digest=sha256:56235c41f1e34ebb7f4df014ef3fe5dbf4d7d3d2e5b30a4e7d565fca4f7baf2b

Observation 200179a1-8e6d-4506-9300-54d89fbfbb37 · outbound

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

ICLERB: In-Context Learning Embedding and Reranker Benchmark NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.041741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.041741Z digest=sha256:05d90a5cff2acd1d16d3521637146712a0081395ade503a6054354c75e8c49c7

Observation e247f584-f82a-4d58-869c-6ab451c150e7 · outbound

This paper cites Open Source Strikes Bread - New Fluffy Embeddings Model, 2024.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Open Source Strikes Bread - New Fluffy Embeddings Model, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.900435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.046590Z digest=sha256:041d0e20f20fbe7fa8f75520cab932fbeafd7a97a2523a537ec4f81236f7a539

Observation 060abd50-98d0-443d-8bfa-1a097f1043d2 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks, 2021.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks, 2021

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.885092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.050871Z digest=sha256:89a73a41f743266250fa07d6af6061a08b90b6e60f074850fe727cd2cf3c5b26

Observation 8fbcaa1a-d604-43e1-98df-07050b8b204d · outbound

This paper cites Making Text Embedders Few-Shot Learners, 2024.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Making Text Embedders Few-Shot Learners, 2024

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.868585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.055207Z digest=sha256:547cc0a5a6caabf96dc0cccffa60085df7420dc5bddced4a7cf3e537da437224

Observation e0346534-d571-41de-ac0d-4f265df515a0 · outbound

This paper cites Schapire.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Schapire

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.853296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.059453Z digest=sha256:01f60d556f03683a12740dc3b0715291400446998dce20aaad3b23cd078fbab2

Observation 70869a60-fe02-4911-9b83-ac7043f9c554 · outbound

This paper cites AnglE-optimized Text Embeddings.

ICLERB: In-Context Learning Embedding and Reranker Benchmark AnglE-optimized Text Embeddings

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.063932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.063932Z digest=sha256:705f73e8fc2cac57a68b0b62ea83ed043c619a627300c38826d8e997ddf333a2

Observation a602e799-2665-4f16-8516-a25078bca223 · outbound

This paper cites Unified Demonstration Retriever for In-Context Learning.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unified Demonstration Retriever for In-Context Learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.838011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.068477Z digest=sha256:2636849769f090394fdee1f827e4817963f88fa7b3d7a6f23e8c10050b8244f6

Observation 8096ed0f-8d35-4e2b-a6d0-159aa7b88dcd · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.073058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.073058Z digest=sha256:31839784530ee2d09f4f3ca65141717895cfe6455d05eba0e6cf554fb24d9369

Observation 6b4454d5-e0be-4c33-83ac-ffbc501984ac · outbound

This paper cites Lin, Jacob Hilton, and Owain Evans.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Lin, Jacob Hilton, and Owain Evans

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.822986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.077600Z digest=sha256:ca6346660d560fab7263cd7b85845f703c298c3eea6e30e604cfe888dbc4cc05

Observation f43457db-b5ed-4ad2-af39-e1d481a71be9 · outbound

This paper cites an unresolved cited work.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:46:46.808250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.081871Z digest=sha256:b586349f26ebf5078a6912a791234c3e5e54402cc5639f199db8abe3e8c19f36

Observation 52433335-8514-4b26-bdf1-80a95ba3dae9 · outbound

This paper cites Linkso: a dataset for learning to retrieve similar question answer pairs on software development forums.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Linkso: a dataset for learning to retrieve similar question answer pairs on software development forums

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.793666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.086098Z digest=sha256:489ac82ba73886b2828fe6b576c87b81c0defb68d99d028ba0cd27f455b69dfc

Observation f6ce3096-acb2-4d6e-a8bd-00fb0068defa · outbound

This paper cites Active Learning for Ranking through Expected Loss Optimization.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Active Learning for Ranking through Expected Loss Optimization

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.779294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.090315Z digest=sha256:c5e2443ac43164d308d85c10d2f8c4467a7d7b9f56503014884f50a1504b0b2b

Observation a304d63d-5ca0-4694-ae35-cb6c938186a2 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity, 2022.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity, 2022

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.763942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.094540Z digest=sha256:5a907c16d345b191f30f6dc065d728e1e2e55b1c2913d8c9b9395d48c05af76b

Observation f07efbd3-93c7-486b-a5fc-f7c6504bf6ea · outbound

This paper cites Sfr-embedding-2: Advanced text embedding with multi-stage training, 2024.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Sfr-embedding-2: Advanced text embedding with multi-stage training, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.748195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.098787Z digest=sha256:b38929542bc1620222c1f9c5b99b019fb76d87c16a4df1ceb7a83483a880efb6

Observation 0a14f8d7-354a-47b6-bfb5-a61122671542 · outbound

This paper cites Embedding And Clustering Your Data Can Improve Contrastive Pretraining, 2024.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Embedding And Clustering Your Data Can Improve Contrastive Pretraining, 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.732436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.103213Z digest=sha256:7561ab35074373027740acee694478eeb445fddebef260e8ab47b323ce2b8c0c

Observation 24600035-4c00-4dbb-877b-42740dd84cb6 · outbound

This paper cites Distributed Representations of Words and Phrases and their Compositionality, 2013.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Distributed Representations of Words and Phrases and their Compositionality, 2013

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.717229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.107958Z digest=sha256:c4a66fba4b693db383c1b9446260326c5b6a9ab0202308533cb053ff181e67fd

Observation 6e9f5978-d5e4-461f-a379-1b855992752f · outbound

This paper cites an unresolved cited work.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:46:46.701671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.112206Z digest=sha256:1f3b7e6f7c63181eea63a962561fe003fe15a76726dc9bccafb51b8f3e6eec2a

Observation 4446158f-922b-450c-a41b-8f66556536e3 · outbound

This paper cites The bayesian approach to global optimization.

ICLERB: In-Context Learning Embedding and Reranker Benchmark The bayesian approach to global optimization

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.687104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.116401Z digest=sha256:7c48dbbc25759a9c823677c58ddc16f0f013198c44656c08fcc94a2978668fa3

Observation 4a8940aa-6001-430e-a752-27e05fdbd24b · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

ICLERB: In-Context Learning Embedding and Reranker Benchmark MTEB: Massive Text Embedding Benchmark

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.671789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.120717Z digest=sha256:ef016b30b0f8ba8a3c2ae96b64ea37105a8d608971b184c6d4444cc9b8ef575b

Observation 3a18eb8e-efa2-4cee-8d98-4c7c11ba9819 · outbound

This paper cites Text and Code Embeddings by Contrastive Pre-Training.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Text and Code Embeddings by Contrastive Pre-Training

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.124980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.124980Z digest=sha256:47a45ed153ef245c4d9a530cb483159d3f1cd31f0e754406d5d74a80e3b5343c

Observation d37c542a-cca3-42c5-b77c-1b31906c8856 · outbound

This paper cites Zhao, Yi Luan, Keith B.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Zhao, Yi Luan, Keith B

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.656203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.129458Z digest=sha256:6acc704235c61a3b9f9d865969a11974f2a663d0e6206ea07d9a7919dd2e1657

Observation d9dcbc5a-4241-4664-bf2c-a7fa8d11e986 · outbound

This paper cites New embedding models and API updates.

ICLERB: In-Context Learning Embedding and Reranker Benchmark New embedding models and API updates

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.641220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.133702Z digest=sha256:f61d19231776ac2ed256d4634d6c3995402dcffb5b4cd907a3e79ee2938c3d74

Observation 703854cb-53bc-420a-aabf-9c544b6f102f · outbound

This paper cites Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.625658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.138330Z digest=sha256:c0e9fd7f828c6a31782b18ceb1fc45a24151da9e312b76cb048576b9c008553b

Observation 7b299521-3f62-40c5-9d01-dd1a9db85c2d · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.610486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.142907Z digest=sha256:844e486b05bc1b35e43e418c0b5e5472d59e174adeea4c98134460ecdc10c6a0

Observation ba29d706-a1c1-49bd-a961-8f7d0abb833a · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.593702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.147156Z digest=sha256:ffe5b083fd01cf958fd6910a273175506457f4bc3d7a5d41b893a7c19a2766b9

Observation 299b3769-002f-498f-a238-5487f1a78a8a · outbound

This paper cites In-Context Retrieval-Augmented Language Models.

ICLERB: In-Context Learning Embedding and Reranker Benchmark In-Context Retrieval-Augmented Language Models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.579190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.151299Z digest=sha256:1d1bb0b52b4eef6520bedf6839442aedb7d9ceff96cdb287d04557943c285d23

Observation 98270b39-d583-4b25-9a9a-da66c665868b · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.564213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.155552Z digest=sha256:e77fbf7ebc038bde2777d64d2d5254e69ec0f263aac2f684f8c2a57183f8888b

Observation 4fc3b4f6-1b2c-43f3-ab00-115b66622b59 · outbound

This paper cites Learning To Retrieve Prompts for In- Context Learning.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Learning To Retrieve Prompts for In- Context Learning

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.548139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.159955Z digest=sha256:35d8d7edf0e9227367f51de2b09757cf04cd50b30063ab5fc12e853e2af8e2a8

Observation 956ce6b7-0c44-4764-82b3-e8388942c95e · outbound

This paper cites CARER: Contextualized affect representations for emotion recognition.

ICLERB: In-Context Learning Embedding and Reranker Benchmark CARER: Contextualized affect representations for emotion recognition

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.532306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.164964Z digest=sha256:cc06a90a08c92c17693df6dcb2ad9c2a55710dbb98e5e9a60413fbcd3f6c32fa

Observation b8702ac8-5a30-4b3f-b386-baaeb828227c · outbound

This paper cites Active learning literature survey.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Active learning literature survey

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.169204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.169204Z digest=sha256:d9baa3ca909580fbae7959ca65a7f1519eb54a37e6421667d48da13788b173eb

Observation ff63cddb-05ea-49f1-a0a4-aee4c7b14f3b · outbound

This paper cites Algorithms for reinforcement learning.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Algorithms for reinforcement learning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.507636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.173273Z digest=sha256:4abedd93b70a73e0bdec8e9bf98693534fa84678ba9ed874a92b33ba91f82f4b

Observation 7c7b79f6-9f83-4ae6-89db-f2328bf1c6c6 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models, 2021.

ICLERB: In-Context Learning Embedding and Reranker Benchmark BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models, 2021

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.493348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.177749Z digest=sha256:5f086420c4088b9db1738a46c392693dc1c7138e00654a5968a2a513bb3f1445

Observation a56e9919-cf89-49ae-9343-48bba052180a · outbound

This paper cites V oyage AI Rerankers.

ICLERB: In-Context Learning Embedding and Reranker Benchmark V oyage AI Rerankers

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.479065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.182719Z digest=sha256:dedfae587ebc62e415f6560a2e2ddeb5d9495586388bdc43efe656c98713d3d5

Observation fbae715a-ac0d-44b9-b7ed-01e343f99a5f · outbound

This paper cites Voyage AI Text Embeddings.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Voyage AI Text Embeddings

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.464527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.186799Z digest=sha256:8fd46b4d550f676e0bc5cdcd1c659ba8dd7efad00159957e6864345bc621bd2c

Observation 94ab18a7-dec8-4630-beed-ad71d220dae0 · outbound

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

ICLERB: In-Context Learning Embedding and Reranker Benchmark Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:46.190943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:46.190943Z digest=sha256:febc6b8da6dd290207a2046cf64b75bf04ecb777316d25bc484adaade7ec5360

Observation c9899d93-c1bf-49cd-b5b6-0e6e2529f0cf · outbound

This paper cites Learning to Retrieve In-Context Examples for Large Language Models.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Learning to Retrieve In-Context Examples for Large Language Models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.448617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.195376Z digest=sha256:fa6f4a2b55446a3fc80207e84b91ef21fc04f95b2dd852c35d63916f8b544323

Observation 4122c186-8927-44c6-9c5c-f33093090d05 · outbound

This paper cites an unresolved cited work.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:46:46.431560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.199469Z digest=sha256:f8008b3bb1fb7109fd07851435dbde0633830d0d6d0d51f20e8eb7a17df44af0

Observation 66bb38c3-c48e-425e-9516-696a6b1e47e3 · outbound

This paper cites Mind: A Large-Scale Dataset for News Recom- mendation.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Mind: A Large-Scale Dataset for News Recom- mendation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.416695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.203837Z digest=sha256:0a64e901d0e590e8d71019f0c84644c85772f5d0275a5767fe373ddbd8885bf0

Observation df7b8853-37a4-4789-b73a-3443c8233f52 · outbound

This paper cites C-Pack: Packed Resources for General Chinese Embeddings.

ICLERB: In-Context Learning Embedding and Reranker Benchmark C-Pack: Packed Resources for General Chinese Embeddings

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.402388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.208057Z digest=sha256:71530bc2252082094bf1f705bd0d84ebde026949d7f5b49b65a979f1b540a876

Observation 21a9ff7f-826c-482a-a79e-381a1806a816 · outbound

This paper cites Compositional Exem- plars for In-context Learning.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Compositional Exem- plars for In-context Learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.387767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.212940Z digest=sha256:6dbd74b6347f8aa1c2b3f9f29af8825b12aa31cc567670de76046901b5db0a81

Observation 2b8043ea-d3a4-4621-8913-775c28a709fd · outbound

This paper cites Average Retrieval.

ICLERB: In-Context Learning Embedding and Reranker Benchmark Average Retrieval

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:46:46.372164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:46:46.217142Z digest=sha256:e1e8a0c01fa53d4e962a42c8205727865b696bbad8d38d48791387075cb8348f

Pith citing papers

No inbound Pith citation observations are available.