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Paper Citation Record · LEDGER

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2506.00232.

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

pith.paper-citation-record.v1
2506.00232 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:54.713185Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:10:16.661082Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy15
  • unresolved42
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 2a2bf7f1-6168-418f-9d7f-facdaa496068 · outbound

This paper cites GPT-4 Technical Report.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering GPT-4 Technical Report

Reference 1

Resolution
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no resolver link, observed 2026-08-07T12:12:50.274162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.274162Z digest=sha256:565f81192f394c7d59028e28c4b9b7434657d1619332881ea8ea71b200bfe5a3

Observation dd702a8f-5c22-46f7-8d1e-02968d455bfc · outbound

This paper cites TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization

Reference 2

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no resolver link, observed 2026-08-07T12:12:50.290909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.290909Z digest=sha256:4df5850463eb4525644a7306a0862b1915e8072f7163bdb014099f40b7fd412a

Observation b064e2a9-c739-4dfa-be29-493fc44a2157 · outbound

This paper cites Improving language models by retrieving from trillio ns of tokens.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Improving language models by retrieving from trillio ns of tokens

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:00.673102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:50.364185Z digest=sha256:f3a9ce09351d80b56c9a663740303aef3dcddd340a0264b52795956b349d15d8

Observation 7080d842-fdcb-46eb-8cdb-22fef5200e34 · outbound

This paper cites Language mod- els are few-shot learners.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Language mod- els are few-shot learners

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:00.332325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:50.468576Z digest=sha256:67285d1c1997587d1c5efb2b3b90c45e80c1edfbec330b47cdf1b717d245bd9c

Observation b046fa8a-8a51-4e6d-8db0-bd6e083d1a6b · outbound

This paper cites RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

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no resolver link, observed 2026-08-07T12:12:50.516414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.516414Z digest=sha256:1b59f9260469d8356a3c2802b9bb518be6d4e7462e048565154f3a82c0e093f1

Observation 6b94b0bd-c26c-48e6-a1a2-7bed17040264 · outbound

This paper cites The Faiss library.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering The Faiss library

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.552759Z digest=sha256:80a0faec37a785d10b2b333624a676bec6b4ef2dbb6500e7174c453bbacd3e3b

Observation 7baadc78-0fc9-4f33-a3cf-ac18fd19ebf8 · outbound

This paper cites The Llama 3 Herd of Models.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering The Llama 3 Herd of Models

Reference 7

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no resolver link, observed 2026-08-07T12:12:50.601126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.601126Z digest=sha256:f18f85858c1ffc8483f0eae2ffc4cc5d728a15554ee20a42628cf59f3512b6bb

Observation a5d51a28-9a72-4cd4-a445-3a32da3b6fc9 · outbound

This paper cites A Survey on LLM-as-a-Judge.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering A Survey on LLM-as-a-Judge

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:12:50.636543Z digest=sha256:2da9edb65986ea77d555a00fba1b7fdf72904950e506ea2190f48944b7ab8017

Observation 33eb8edf-0a14-4353-b588-284847dc739a · outbound

This paper cites Retrieval aug- mented language model pre-training.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Retrieval aug- mented language model pre-training

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.726961Z digest=sha256:cca63305a0651ad21571aae12bd689ee3c3f5577e1e6cc0379a23834d2a7871a

Observation 9a6544ff-3691-471b-98e4-9a9173de2af9 · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 10

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source=pdf_text observed=2026-08-07T12:12:50.772066Z digest=sha256:f6f0a0634cb233782e34efc743b60dc71b3641f2dd0d4c190d78e1b8d0ffbb08

Observation 9d51d29d-d139-42de-82ea-b3fcccb57239 · outbound

This paper cites Atlas: Few-shot learning with retrieval augmented language models.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Atlas: Few-shot learning with retrieval augmented language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:00.096256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:50.813325Z digest=sha256:b6a32d488917e3c55439a7f8188a41a79c1936d5506831b2f8fe2a2d1fcf4ce0

Observation bb2c07f9-33ec-4928-be81-d844494868e8 · outbound

This paper cites Survey of hallucination i n natural language generation.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Survey of hallucination i n natural language generation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:59.816341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:50.853967Z digest=sha256:1286b15b597ae64a76f7f52b49ada21c3bc3ace9c9fc8f499915bde580da5bbe

Observation bad5df60-7863-4571-93b5-3ee844af2121 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.922800Z digest=sha256:f09ea8cc5066d6ddbee4e46b6264730b26328ffa82766f850ac81eacf2454128

Observation a887edc1-7636-4d14-ac8b-9af3802b5512 · outbound

This paper cites FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.978650Z digest=sha256:4dd37c38adb051a4ea9f21468bd41d55943a3560f6857c71ce293f1fe4d18360

Observation 65e11b93-ab68-4f51-83e3-b7298ca0bfe8 · outbound

This paper cites SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs

Reference 15

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no resolver link, observed 2026-08-07T12:12:51.050892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.050892Z digest=sha256:d7d0db43e2d7cbc03a70f4ddeaaa35138f6485f0024545f808ecdcf78168e8b8

Observation 8c33b2e6-8718-4926-ae9d-7682e26f27b9 · outbound

This paper cites RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation

Reference 16

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no resolver link, observed 2026-08-07T12:12:51.134973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.134973Z digest=sha256:33191433e8dda7ce086a0b6e5b2d6bf3395fa842338fe6093018c5489ea389f1

Observation e6cedce8-12c3-4067-ad4a-a2c45f831111 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:59.440519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:51.220777Z digest=sha256:2e1a10a6dbab2238277cfa56cf342a0b528eaf5ae8c234c5ac8c495b7431ba67

Observation 06f3618b-6a14-48a7-8435-33113f461228 · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.279476Z digest=sha256:4cc3b5f2d2e078a756d75f9c9dc17bbc21327fa9a17f03a457fabf674c2c5fa6

Observation f00a0c21-6089-43e1-99b2-19f84d67a7e7 · outbound

This paper cites KILT: a Benchmark for Knowledge Intensive Language Tasks.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering KILT: a Benchmark for Knowledge Intensive Language Tasks

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.315087Z digest=sha256:5cddda95f4788f96586c1d7be462104fc973714f6962068dc196901aa713789a

Observation c8e696e0-9e11-46a4-ba56-205a5bd1f999 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Measuring and Narrowing the Compositionality Gap in Language Models

Reference 20

Resolution
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no resolver link, observed 2026-08-07T12:12:51.360713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.360713Z digest=sha256:6c34bca4973889170c47406cb36663578be0257ea2d49b510a1faad2b16b8b49

Observation 0d6bd54e-d4bb-40bb-9c42-bea4a0bbca4c · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 21

Resolution
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source=pdf_text observed=2026-08-07T12:12:51.464695Z digest=sha256:5570fb11b03966e4ee726f8a06683b1ae7664b517f6e4ded62b4edc9960652a2

Observation b8371d11-effc-44e1-ac2c-07874bcfcde4 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.562830Z digest=sha256:9bef9079aa703db5f93ad550579eee76e6ee5a038d35971340ceaa030101948f

Observation 82927590-9c6f-4fa8-9170-b3707016782c · outbound

This paper cites ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding

Reference 23

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no resolver link, observed 2026-08-07T12:12:51.669991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.669991Z digest=sha256:ee9de164da0119a50b0839d2fefab6ad31a641a5d8272843ada8560d423e3f2b

Observation 837b3e97-0dc4-43df-aa1f-e5d343914099 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering LLaMA: Open and Efficient Foundation Language Models

Reference 24

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no resolver link, observed 2026-08-07T12:12:51.805171Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.805171Z digest=sha256:9bab5409864e8dc8a3023d7e44020e45c2e22f835a0f57233b772a3ab0d17544

Observation 8299ca5b-2e92-4206-a229-23cbbe017c6d · outbound

This paper cites ♪ musique: Multihop questions via single-hop question composition.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering ♪ musique: Multihop questions via single-hop question composition

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:59.151924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:51.915172Z digest=sha256:27ca3f0cafb10673deec72632141b1ae214c6138cf1012941d1e73858a0a37aa

Observation 64e53bab-6ce5-4f47-b39d-cc26eed7f705 · outbound

This paper cites Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation

Reference 26

Resolution
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no resolver link, observed 2026-08-07T12:12:51.978169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.978169Z digest=sha256:cc96debfad7498450caf8f65b7fd6f2d8cbb4f51d523b5448adf6bf37f69180d

Observation 6b48723a-5145-475f-a7fb-058b98c2dd86 · outbound

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

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 27

Resolution
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no resolver link, observed 2026-08-07T12:12:52.077629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.077629Z digest=sha256:53e5b1af72be3e9b798cb3d45743bb4a11051d9a6f00a383f6a3dbc9d3a2be52

Observation b86d79af-ac85-45fa-a03d-b2bcad60e820 · outbound

This paper cites Chain-of-thought prompting elicits reas oning in large language models.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Chain-of-thought prompting elicits reas oning in large language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.924060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:52.131383Z digest=sha256:5405b32e16e3ca43a9c0ff25eaddb743a6ff14e695d347b368ce75cac5e09d16

Observation 6e0b9527-ea17-47a2-a9c2-69d1129080b6 · outbound

This paper cites GenDec: A robust generative Question-decomposition method for Multi-hop reasoning.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering GenDec: A robust generative Question-decomposition method for Multi-hop reasoning

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.186107Z digest=sha256:36cee5befe7390e7beb0856c3055368bf52050f079c39b8a3561db282313e8f2

Observation 99d65b93-7d38-4ef4-a630-a83c57b268c7 · outbound

This paper cites Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Reference 30

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no resolver link, observed 2026-08-07T12:12:52.255422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.255422Z digest=sha256:6be2520aec8d3f14bb8d158e0f43d46d9b32a59e1764a2a453613c6d96baf19a

Observation 4b075729-1c94-49ab-b24d-0b4821f75ead · outbound

This paper cites Qwen2.5 Technical Report.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Qwen2.5 Technical Report

Reference 31

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no resolver link, observed 2026-08-07T12:12:52.336979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.336979Z digest=sha256:9fed47b8840fdc852de927d270e45d92e20998b43f5bc25458b26078b827c856

Observation 86944795-4ebc-419b-aa3d-3adffa2a6574 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 32

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no resolver link, observed 2026-08-07T12:12:52.429845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.429845Z digest=sha256:db3907faae0b6cc099562ce1104b492c6808150f2f938f627fef5ddf83d25a76

Observation 540297d9-3e53-4369-acc1-58fdeb1024a4 · outbound

This paper cites Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 33

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no resolver link, observed 2026-08-07T12:12:52.492006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.492006Z digest=sha256:6a2a1649bcada9fae51ea50811a43a47c1cecef4367e4f169c6c47fc57876e67

Observation ab5cb329-bd06-4f9d-9b8b-97d8b3890953 · outbound

This paper cites Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:12:54.872020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:52.533727Z digest=sha256:cc62e5f1af07c6f4d5e3a65856d1f5a4bb6bd5929ca46a915c28a486b6088a19

Observation e03ee049-c628-48ee-92c8-0920c821ef84 · outbound

This paper cites ProcessBench: Identifying Process Errors in Mathematical Reasoning.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering ProcessBench: Identifying Process Errors in Mathematical Reasoning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:52.620513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.620513Z digest=sha256:766f25feecdc1f33256e2693a5b09e319f453fcb05d2007287c60da6cb622a55

Observation 99b97800-acc8-4355-b6ea-7fe595d3035d · outbound

This paper cites EfficientRAG: Efficient Retriever for Multi-Hop Question Answering.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Reference 36

Resolution
malformed identifier
no resolver link, observed 2026-08-07T12:12:52.693071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.693071Z digest=sha256:e7db61b1eedbe406d4ac346e511a2cba5e488ac09c8cefbdc14c46b292a3ad08

Observation d6653f07-a679-42bb-9f73-d6aaf58a08c7 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:58.706163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:52.795569Z digest=sha256:76856658be7beba50a61abb52e9bf94e4c5202eef027f6df8b92c6d12adb7a17

Observation 601e2ad0-9169-438a-8903-7a36b93a4198 · outbound

This paper cites T o perform the comparison, the populations of Canada and Australia must first be individually achieved.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering T o perform the comparison, the populations of Canada and Australia must first be individually achieved

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.463190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:52.909211Z digest=sha256:ff3730f1b4f96b99b46b23e4505a1a083321b882159d02c29520dae279f387f2

Observation e7cee9b4-0cda-47f1-b8ab-31ba6d2263a6 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:58.310005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:52.977049Z digest=sha256:6534d9c104a303fdd296ee53047a13ff2acd132593a7b4da8eacde1fe984b180

Observation d4b5cff3-584e-488e-b987-82c516722cde · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:58.174962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.046701Z digest=sha256:0d34b22c725c8ef491e0c5f2e8f42332bd8dec1b09202ea3f92a754c4ed8a430

Observation 63bb6c61-1669-4727-af15-ad61eb0d6b31 · outbound

This paper cites Australia has a population o f #2.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Australia has a population o f #2

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.047760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.074481Z digest=sha256:287ae4cf68b6fd9ce4076321b62fbc4242a0967b37385a835747214aa6247963

Observation 8867a4a7-1559-4da9-9da0-6943201d0f11 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:57.859694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.156492Z digest=sha256:f8f154c83c1cc835a79c2c476a2d6140a257e342776f015e9664193ea4e46d9f

Observation 3c008805-32a5-4058-af13-34b41a202d90 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:57.706224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.243312Z digest=sha256:c2800ad72b44460389ad65f50c59d11e202ff683c73ce417b225d9a29ec2f4f8

Observation 601697b1-c7a0-46fe-9963-7bb9ae9ebb06 · outbound

This paper cites The length of Tigris is #2.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering The length of Tigris is #2

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.546866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.323644Z digest=sha256:7c795bd5607699c4e414df55a210d9c33470b57c71bfdf4512fdd238a9990251

Observation acd3f197-31d0-457b-a5bc-123554a956a8 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:57.439451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.402831Z digest=sha256:06e40d48654beca4238b6b0d2d3631b4833ec0b9fbe321489a66a0b4e7ed6101

Observation aff6d78b-91b0-41cd-89fc-4d0591f6ebbb · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:57.272448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.433102Z digest=sha256:9398e1cfa1a9b575296d7391706e755e8bbc2a08926a114b18ae31c9ca7bb7e2

Observation de86dbe8-aec7-4258-80ce-c59e47195ac0 · outbound

This paper cites Once both are identified, their geographical di stance can be obtained.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Once both are identified, their geographical di stance can be obtained

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.108918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.482120Z digest=sha256:aa0ae1d49d3775f97231731c948f01f11a890b27eac90564f76d7d45b3c6a619

Observation 8b3ae6a5-7aac-491e-aa2a-1980b78a8c88 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:56.969155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.528577Z digest=sha256:7c04e2ce8dbf51cac4503705fae6b2c5ad2cf4eb670fc955b78aa66ed1336b23

Observation c7c13d0f-7616-4233-979c-7c402e810b08 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:56.817450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.656495Z digest=sha256:09f5ee7edf49ce7af60ab5c096618896acd506ab7725f25ddc3172b90d045066

Observation 4009c79f-132f-4f50-9a99-9e2f5095c91b · outbound

This paper cites First, the country where the Eiffel Tower is loca ted must be found, followed by identifying its capital city.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering First, the country where the Eiffel Tower is loca ted must be found, followed by identifying its capital city

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:56.667904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.765919Z digest=sha256:0d7744b1e8d0ffe222374ea0df9db2be5de2bfda320ebc5abb760968cf5ce6f9

Observation 1e74a87e-3c95-457b-978b-0a5e6a540f7b · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:56.482272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.886175Z digest=sha256:20b18e66f7fbcb2d87debd8dfd61d5d15a3d23e04525023676053a6e52ae8667

Observation c9fbae5e-7011-437a-89af-2a2bf03e7b35 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:56.312012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:53.943628Z digest=sha256:3bbc7970f8bce0bb2b179f28717f4f81e15977ee68e98f1bec9534c9b125ea93

Observation 28848d23-57af-4fe7-bbf7-2d0360a43ece · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:56.125381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:54.050780Z digest=sha256:8060a567ec489cb6db37db88cf4fdc6d35581f49421fd1701985081fef7e9166

Observation 87f4dc02-575e-44ce-adaa-73577043a910 · outbound

This paper cites #number", don’t use the.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering #number", don’t use the

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:56.014590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:54.138453Z digest=sha256:346d07f7678266d7b021fd2a5284e7290a328b3ec4d4e456cc6f282efaf31a32

Observation 8df871b4-c098-4115-ab17-ffd721d2f37d · outbound

This paper cites Instead of asking about where th e company is located, specify that we need the **headquarters** location.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Instead of asking about where th e company is located, specify that we need the **headquarters** location

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:55.557421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:54.404979Z digest=sha256:f8be6d8ee302521094d3a5612fcb0e50c4a9bcb81002e44d66d666b6515ea391

Observation ebe50fa6-8166-4868-891a-4a60a0c54a91 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:55.846272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:54.466524Z digest=sha256:245f8517f05d5a3cc9950b146bfdb595351e8a89401df6addc0ead337989135a

Observation c3e928c5-0044-41c6-b320-6fd35b25db74 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:55.654939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:54.544284Z digest=sha256:2d9ee8709e45152a5022a597ccf8f4b368078ac5c83721fab2d8c3c9888e238e

Observation 94169a27-a7d7-4e69-9390-742e0c2dbdc2 · outbound

This paper cites an unresolved cited work.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:55.406555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:54.613094Z digest=sha256:f666781ddf4b02c922e54069b7c649b9c1870bf02bebb11d47c522a4088be0e3

Observation 69ac44e6-6b8d-4320-9630-8f77828354f8 · outbound

This paper cites Given a question, an answer, and the supporting passages, ev aluate the answer based on the following criteria: a.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Given a question, an answer, and the supporting passages, ev aluate the answer based on the following criteria: a

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:55.217299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:12:54.713185Z digest=sha256:7617f0b0bb9f6cd52a47c35644eb75877d5097ee8055a9949e1f1b841bb3a8e0

Pith citing papers

Observation f139c760-df11-44b1-8871-f49f6d4df90d · inbound

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling cites this paper.

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.266812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:1ad6a79f6560260e57a003f9cc7971318a18805a7b0c9fce9a6129c96bf7f7a0

Observation 78ef1a62-cf3f-42fc-bd24-7bddc102dfa8 · inbound

Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG cites this paper.

Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T10:29:19.107085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T10:10:16.661082Z digest=sha256:ffdd7ce0c416f5664e65a67881a516acb9cf522c80ab68fd951f045c44313a9d