Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2101.05667.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:40:10.495352Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T06:36:43.698862Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 583acaad-b286-41f1-b448-7af20dc996e7 · inbound
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! cites this paper.
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:40:11.139720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fc5b7e21-7127-4c29-83eb-ade653d8c518 · inbound
Rank-K: Test-Time Reasoning for Listwise Reranking cites this paper.
Rank-K: Test-Time Reasoning for Listwise Reranking The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:40:10.495352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1d48b7a-76c0-41f8-a109-0b204b59f94f · inbound
Reranking with Compressed Document Representation cites this paper.
Reranking with Compressed Document Representation The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:02.108948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebb34236-dde8-4406-b1b4-37d650ac1d5b · inbound
RankLLM: A Python Package for Reranking with LLMs cites this paper.
RankLLM: A Python Package for Reranking with LLMs The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:20:40.191178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 938737af-d99a-49bb-b241-557a73ac3b70 · inbound
DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers cites this paper.
DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:08:55.656055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38163a9b-6717-4f7e-b003-32f16a12ee3f · inbound
Constructing and Evaluating Declarative RAG Pipelines in PyTerrier cites this paper.
Constructing and Evaluating Declarative RAG Pipelines in PyTerrier The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:21:45.253957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5151eb10-3159-4c65-a814-b691a81a3505 · inbound
UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses cites this paper.
UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:14:06.387806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a7093f1-2503-4404-a0c7-277683d54982 · inbound
HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers cites this paper.
HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:25:04.871086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e4bec2a-4b0a-46d0-a9bc-f7cd5a9e6d68 · inbound
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization cites this paper.
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:11:01.466983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ca2f1e7-d4e3-45c0-b878-93f0abd8ec18 · inbound
BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination cites this paper.
BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T05:55:57.760231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3b00336f-46fe-4046-92e6-27ab1f1e4a82 · inbound
Dynamic Ranked List Truncation for Reranking Pipelines via LLM-generated Reference-Documents cites this paper.
Dynamic Ranked List Truncation for Reranking Pipelines via LLM-generated Reference-Documents The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:50:59.371711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 139058ff-71b3-4175-a5e9-4bdefd0e16d1 · inbound
Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models cites this paper.
Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:21:06.527710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation dee7e20a-982c-4445-93f8-f57927b990a8 · inbound
MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval cites this paper.
MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:57:05.171115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 26a96494-4374-4d78-8fd8-4fcbf88dc7c3 · inbound
F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking cites this paper.
F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:52:52.226800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e689cb4d-4796-46ae-83e6-ba7571a936a2 · inbound
Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction cites this paper.
Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T01:03:52.829670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e06cbe87-34a5-4ad8-94d7-1e2f170b5d07 · inbound
Whole-Pool Setwise Reranking with Long-Context Language Models cites this paper.
Whole-Pool Setwise Reranking with Long-Context Language Models The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T00:56:25.518263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ba65dce4-1aab-437c-97b3-9f4489a4d208 · inbound
A Sensitivity-Aware Test Collection for Search Among Personal Information cites this paper.
A Sensitivity-Aware Test Collection for Search Among Personal Information The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T00:42:56.692618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6bc8871b-0eaa-442c-88fe-69a62488c8e2 · inbound
Trie-based Experiment Plans for Efficient IR Pipeline Experiments cites this paper.
Trie-based Experiment Plans for Efficient IR Pipeline Experiments The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T06:36:43.701557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3fa1d423-b5ce-4f8b-ada6-004666b140cd · inbound
Trie-based Experiment Plans for Efficient IR Pipeline Experiments cites this paper.
Trie-based Experiment Plans for Efficient IR Pipeline Experiments The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:58:17.669175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 712ee17c-b8b0-4d21-a159-e28f628889ab · inbound
MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking cites this paper.
MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:09:18.968358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba4d015c-5a8a-470e-bdbb-dd2de48435d5 · inbound
Towards a Relevance Posterior in Neural Information Access cites this paper.
Towards a Relevance Posterior in Neural Information Access The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T19:03:06.688156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.