Paper Citation Record · LEDGER

Document Ranking with a Pretrained Sequence-to-Sequence Model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2003.06713.

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

pith.paper-citation-record.v1
2003.06713 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:21:55.143151Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T02:46:29.381896Z

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 a652a6fc-eca3-43b8-a447-aed2f32c5f19 · inbound

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks cites this paper.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:21:55.143151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02707339-64c3-410f-b3c3-660c863942df · inbound

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width cites this paper.

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T13:37:35.368595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7506bcb-565e-4fbc-bb93-578adde5c86c · inbound

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation cites this paper.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T12:07:24.107419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d353fc4-1597-4cc9-9813-e0681c393432 · inbound

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective cites this paper.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.791525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705153cb-80b8-4d17-8a3f-73a1ebb7b9f7 · inbound

White Hat Search Engine Optimization using Large Language Models cites this paper.

White Hat Search Engine Optimization using Large Language Models Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T13:10:56.390855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5e32d7c-4704-4dd7-bb48-ba676604af5e · inbound

RoToR: Towards More Reliable Responses for Order-Invariant Inputs cites this paper.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T16:11:43.197790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dffa41b8-baf1-4539-8644-2005f7acb2e1 · inbound

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval cites this paper.

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:54:53.054543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4529e7b0-debf-4d4d-874c-3a16056906ab · inbound

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing cites this paper.

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:09.986880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5dffdb-be6c-47cd-bc9b-44357e612e7f · 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 Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:55.264481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8defab9-4347-41c6-8c6c-779ecc21e298 · inbound

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching cites this paper.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:31.216580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6703d5-6fe5-42d2-93bc-1c4d1abc8eb7 · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:18.343708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d2d520-daab-4d61-afba-f5970a2dbd57 · inbound

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation cites this paper.

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:21.168054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddca7cbe-8efc-4413-b2ec-a22ae5bfc645 · inbound

Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database cites this paper.

Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T10:33:12.406255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a07b3e0e-c406-4a0f-aa7f-7b44a461ea40 · inbound

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T17:15:15.333064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b4e679-2416-42b5-8a74-f0360d47624f · inbound

Access Paths for Efficient Ordering with Large Language Models cites this paper.

Access Paths for Efficient Ordering with Large Language Models Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:34:24.259960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08a32764-1db1-437f-a151-8f30f5c942ea · inbound

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain cites this paper.

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T10:44:10.539618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e76afbe-469d-4701-ad38-d35b3aacb4da · inbound

Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis cites this paper.

Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T23:02:46.511447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5626f098-3793-4193-889c-b339e99d34c2 · inbound

Scaling Laws for Cross-Encoder Reranking cites this paper.

Scaling Laws for Cross-Encoder Reranking Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:10:09.218634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2619306c-b8e4-4066-8fd7-71e6c188ea8d · inbound

Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval cites this paper.

Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:48.240321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90f6962a-8f09-40b4-9afd-4f164505e2f6 · 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 Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:55:57.767058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 186f940d-258f-4379-86e5-db8ae1da9eec · inbound

Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines cites this paper.

Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:03.468247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dba7a289-8e88-42fb-ba93-1be6cb0f9886 · inbound

HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads cites this paper.

HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:36:36.280641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5f69255-79f4-4e16-9a87-c5d04387f4cc · inbound

ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression cites this paper.

ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:01:10.862560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc256496-3057-4f76-be8c-1619f9d02ad4 · inbound

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models cites this paper.

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:01:15.287183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 11cb5d79-8c7f-4abd-949a-c78eee7ef918 · inbound

Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives cites this paper.

Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:51:29.333213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10e66469-5ddd-4ab3-8457-ff5527f948ee · 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 Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:06.502072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 65b389a1-168c-4b3b-ad95-a762c64693fe · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:14.976444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82924b7b-c1aa-4861-84ad-473a1d20a508 · inbound

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA cites this paper.

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:29.384175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.