Paper Citation Record · LEDGER

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation

As of 12 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2412.10313.

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

pith.paper-citation-record.v1
2412.10313 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:12:05.958706Z

measured 29 of 29 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

29 of 29 outbound references displayed

verified exact1
verified fuzzy2
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1af59212-12be-4ea7-b6b9-79e87bee752b · outbound

This paper cites Injecting the BM25 Score as Text Improves BERT-Based Re-rankers.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Injecting the BM25 Score as Text Improves BERT-Based Re-rankers

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:12:06.097252Z

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.

Observation aff54d33-21d1-4cb4-b7de-18be9598efe1 · outbound

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

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.878305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98fdfc1f-ede5-48da-a98e-c85301a45a1f · outbound

This paper cites an unresolved cited work.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.881503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aece3555-59be-4352-a562-354990a48f55 · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.884546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728ad6e8-077b-4ef7-8117-68833c49476f · outbound

This paper cites Re2G: Retrieve, Rerank, Generate.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Re2G: Retrieve, Rerank, Generate

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.887719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74093b24-9e55-4c68-8ddc-43027bf1d71c · outbound

This paper cites RIRAG: Regulatory Information Retrieval and Answer Generation.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation RIRAG: Regulatory Information Retrieval and Answer Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.890989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c979bf-64ee-4273-9f1c-0238446a25fe · outbound

This paper cites The Llama 3 Herd of Models.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.894164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3d3366f-fdaf-4c5d-a12f-2d54b65d85f4 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.896859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb17e727-7069-4221-8ce5-f89916f1468d · outbound

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

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.900284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a34ca0e-17b1-4953-9a2a-837c7a107bf2 · outbound

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

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.903991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae9cd74-50b6-408b-a81a-7485e742bcba · outbound

This paper cites Bennett, and Marti A.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Bennett, and Marti A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:12:06.139784Z

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.

Observation 2207edaf-b19a-4481-af6a-da8d10fdbf95 · outbound

This paper cites PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.909873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c24e400-63cd-4234-a9cb-8be216635359 · outbound

This paper cites Making Text Embedders Few-Shot Learners.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Making Text Embedders Few-Shot Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.912915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6dc031-dddc-44d3-8fb9-02d25ccba931 · outbound

This paper cites HYRR: Hybrid Infused Reranking for Passage Retrieval.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation HYRR: Hybrid Infused Reranking for Passage Retrieval

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.916322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af2c7cf8-461e-48d6-9752-30af3c80ca09 · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.919071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 607bb9d6-f8b3-4d79-b444-3f8a8b47ee0c · outbound

This paper cites The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.921820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02d6ac0-5bea-4ee1-a569-020b39260d11 · outbound

This paper cites an unresolved cited work.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.924659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4edac648-d49a-4d45-aa59-4f142c82128f · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Contrastive Learning with Hard Negative Samples

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.927085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f512268e-7ffb-4ae1-a5af-ac8214f55329 · outbound

This paper cites Using llm-as-a-judge for an automated and versatile evaluation.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Using llm-as-a-judge for an automated and versatile evaluation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:12:06.128230Z

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.

Observation 7a253631-b1ba-4fd0-a322-0a786a87a4bf · outbound

This paper cites an unresolved cited work.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.933142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d8829e-67b3-4f71-bdb0-63737c7f360f · outbound

This paper cites an unresolved cited work.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:12:06.116537Z

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.

Observation 6fd2b501-9540-496b-9742-1cb586593dfd · outbound

This paper cites MPNet: Masked and Permuted Pre-training for Language Understanding.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation MPNet: Masked and Permuted Pre-training for Language Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.938907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28320ae7-2165-4fca-bea4-4d05334f4c1c · outbound

This paper cites Asking and Answering Questions to Evaluate the Factual Consistency of Summaries.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.941763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05826ab7-93ae-41bc-b9f7-fd21b8f6b707 · outbound

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

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.944513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483f61b9-e404-47bd-a646-f19364242fca · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.947308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb17d57-18ed-409b-b33a-b74cf9ac6d78 · outbound

This paper cites Automatic Evaluation of Attribution by Large Language Models.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Automatic Evaluation of Attribution by Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.949989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 462401c9-7f24-4697-9368-7eaf5f347788 · outbound

This paper cites an unresolved cited work.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.953387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9e4db31-54a1-4dd1-9256-2bf46dbf056c · outbound

This paper cites online" 'onlinestring :=.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation online" 'onlinestring :=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.955884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f641a6-c0d0-46e5-bb08-b5ae9442e797 · outbound

This paper cites write newline.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation write newline

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T16:12:05.958706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.