Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:28.793051Z
Paper Citation Record · LEDGER
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2411.15766.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved59
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 92c97ab0-fbc0-4626-b909-20e01907f88e · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.613911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f0432e0-a510-443f-8071-a958303f037c · outbound
This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.546032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed7311f9-fb42-424d-8513-7a3fcc0ebb22 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.601587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3cbd8b23-e9ac-430c-a1e9-f613290efbcd · outbound
This paper cites Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.557986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 687ffc99-6243-4e87-b325-f2ae39f1dd62 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.589992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 34b0177b-35df-4622-8456-7e99f82ae8c3 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.578064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8e9861ac-4f27-49c6-b034-8fcb6cbcb46d · outbound
This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.573430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efbd5e5a-d9ce-43b3-8a6f-9c818b0491db · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.566076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 25f6f087-f799-4b9f-9ec1-b8b4a6b61016 · outbound
This paper cites Distilling the Knowledge in a Neural Network.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Distilling the Knowledge in a Neural Network
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.584073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c7834c2-a852-4828-a302-247466fd4475 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.553176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 34333926-d7d5-46de-82b7-845768bcfa96 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.541187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7d490627-e618-4764-8d9f-90b122118322 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.528794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4e26a82b-76d2-4868-b5a7-e9eb79814eeb · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.516747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 82bf4eed-5da7-41f3-9f38-4eebb389e9d3 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.504769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 98e5d9f5-e04a-4d7d-97af-e96b336e07d1 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.610256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45e136b7-addd-4f36-b6d8-7f096f606def · outbound
This paper cites Scaling Laws for Neural Language Models.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Scaling Laws for Neural Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.618666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a12021e-2eef-4b37-b6fd-decb6d74bb20 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.485539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dabca04a-bcc3-4f22-8c9f-dba2c4c2ca1f · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.473645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8e6c282f-fbd8-4473-9881-7a8b12306372 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.461642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6b11f066-63c6-4a74-83d7-c24d0a097cc8 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.446064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a5f6bea7-db59-48bd-af59-139fdf759338 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.433489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c9fe8151-82a8-4de4-bb9f-4a210fd9b16c · outbound
This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.640871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e41300a-26f2-4217-a2ed-2b3177e2f26c · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.422084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9ad82de6-25be-4626-bb91-d4e7555f7939 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.409556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 446c058b-d4f6-4e45-9851-7d8427474b1a · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.398536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7ce0b88f-7331-4492-b9d3-fbd944336d0e · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.656608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f0cb4cc-f3a2-441f-bbe1-ae54f7f6ed64 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.378874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 750b3fe8-0546-4111-89f9-b3698378ac42 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.366999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bf81440d-ef5a-4589-bcfd-2bb6f2e08c6e · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.356379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 35be1375-7a25-4389-8915-e50638129905 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.345420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 157c20dd-5df1-402f-b382-b01adc3a063c · outbound
This paper cites CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.676669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d832deb-f0d6-4d50-bbcc-b4e13ad74a97 · outbound
This paper cites Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.680734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 435682e5-2e2c-459c-92ff-def60a5abcd3 · outbound
This paper cites Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.684763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90d4418f-67b3-4adb-999a-8ff02d67f5cc · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.333701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 096ca914-8bb7-4958-bfa7-530cf7879f7d · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.695310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 009d27fd-a130-4f9b-8e6b-5d91ec600a5d · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.317027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d9405e35-ab0a-4971-a69b-b4163ba6381d · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.305953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 814eeaf2-daea-4690-847d-48fac6ebf28a · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.294182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f1e54c6f-fb5d-49fe-afc2-123ebc06d8ba · outbound
This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Let's Think Dot by Dot: Hidden Computation in Transformer Language Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.713467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc8d1e02-381c-4093-a024-112c5f53a1e8 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.282760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 77c4f608-ae16-4cfb-ae71-a66132c0c964 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.271447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cc51e5cb-474d-4361-b8f3-24eae28d8b48 · outbound
This paper cites 2021.{Zero-offload}: Democratizing{billion-scale} model training.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval 2021.{Zero-offload}: Democratizing{billion-scale} model training
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:02:29.259358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0f0c27b3-e90e-443a-9cd7-268334b0641c · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.243701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 98b4982a-cf99-4ebd-9138-2a1434ecd94e · outbound
This paper cites Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.731958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f4dd475-ff55-452a-89ec-bf2c8c69d831 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.735315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0591a7fc-2ef5-4d8e-b70d-7c8da918474c · outbound
This paper cites Improving Text Embeddings with Large Language Models.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Improving Text Embeddings with Large Language Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.738233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0be34ca7-502b-4768-991c-1a5ca835820d · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.223911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a0d701b6-1535-40aa-a6bb-5421def0640e · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.212818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 64632378-6f47-4799-83ac-743100861104 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.202402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1bb61577-7438-4fa4-8b9c-c29c5e67a70a · outbound
This paper cites Large Language Models for Generative Information Extraction: A Survey.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Large Language Models for Generative Information Extraction: A Survey
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.751424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f4c000d-0c9b-42db-9bd5-f2ac36b66a74 · outbound
This paper cites Negative Sampling for Contrastive Representation Learning: A Review.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Negative Sampling for Contrastive Representation Learning: A Review
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.755234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c05e6a1d-388c-48a0-b870-b4a164621c34 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.758880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0de37c3f-4503-4220-8ae2-bccb3bb68e01 · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.171894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e044395d-a13b-49b8-9592-f290fa7900cb · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.160998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a06ba546-136f-4fd7-a5e4-ed8074395b15 · outbound
This paper cites NoteLLM-2: Multimodal Large Representation Models for Recommendation.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval NoteLLM-2: Multimodal Large Representation Models for Recommendation
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.773332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c230ede2-77b7-43e2-9b3a-0ff17c3cc0fc · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.149893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e081dd71-63a2-44fa-b5b9-dd61f244882c · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:02:29.139813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0ea010ee-d85d-41e4-ae35-ab52a21e1962 · outbound
This paper cites A Survey of Large Language Models.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval A Survey of Large Language Models
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.784940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3434de40-ba35-4528-a3ea-9206b98790fc · outbound
This paper cites an unresolved cited work.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Unresolved cited work
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.789063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81d03f2b-e7a6-4b7b-a3f5-7dfac89deb82 · outbound
This paper cites Peony" despite the.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Peony" despite the
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:02:29.128625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a5577292-e3fa-4dcf-9454-ee8e5a2e61f2 · outbound
This paper cites In SIGIR.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval In SIGIR
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:02:29.183761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2aa64f62-e7db-492e-8a6c-465e2155249b · outbound
This paper cites Scaling Sentence Embeddings with Large Language Models.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Scaling Sentence Embeddings with Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.614023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.