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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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
unresolved
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=sha256:791feeee6b24c11b49d4f4a50f4c6fc6ff197044f2144658c6b34c6c4d0e4317

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=sha256:8c04a2027290b5fed743cc7eaadb320d83d50d67feb2dd3ccbfa6b1eeca7a409

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:50.364185Z digest=sha256:e998e0dfe19a1771ad252795b18eb9a5c004b405bed839b52a92b56b4d929e82

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:50.468576Z digest=sha256:b8fd54b0deb08ea098b9259935e667f53912ff1dd08fb8ef8f5e49bf75181c4d

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:b9514daa539e7ad535e1e9e83a63185034d4b3f1d7210721f74cd0532967ca87

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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no resolver link, observed 2026-08-07T12:12:50.552759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.552759Z digest=sha256:7782300ec1553717d3acb8044e19234e8f913f2fa281b2e8d54323818516b961

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=sha256:963565ae6cfde6b0abc21953f22b6724de64a5e4e4a0c5147e24fe3b2b7aa52c

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

Resolution
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no resolver link, observed 2026-08-07T12:12:50.636543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.636543Z digest=sha256:6eb7751ae26b672076538c27f87818bd79315431d8ed6a09286c4f16b0e3c503

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

Resolution
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no resolver link, observed 2026-08-07T12:12:50.726961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.726961Z digest=sha256:5c4570c2338aa08a98833a45cb24af0dfce44ff90dd9d78e366e45916f4244b3

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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no resolver link, observed 2026-08-07T12:12:50.772066Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.772066Z digest=sha256:809e23a5efac183fa299580969d909598fe287bf7b6435a677854dabef96549a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:50.813325Z digest=sha256:8775b18ecc05d32d5e659293889f4a013631e28807967ab37493ffcf6530ef5b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:50.853967Z digest=sha256:cb759750703168a377f364a19d32c492cccdde7fbf9c55d284195f8f636d77cb

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:50.922800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.922800Z digest=sha256:784a97c979cac91b34e70c2807c8185ea394ed4816136ec09a8c10c0f07224da

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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no resolver link, observed 2026-08-07T12:12:50.978650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.978650Z digest=sha256:69cde9bc6d895427cf462de1ddb4ec7e876a8a6d661b202b048d81dbc7a863e0

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

Resolution
unresolved
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=sha256:781c601ab77dfb9f4e99144fb22f2b670fec916b199b24f9f9a970cf99a39792

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

Resolution
unresolved
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:c7248c9f36b33101da0d31622a6855e5452bbe44d4ca946fed2fde0a0b678cb5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:51.220777Z digest=sha256:729876bdb10c3ab3474bf0916737e5c8ffd837e4f09f9045c74ebfc09f29fcd2

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

Resolution
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no resolver link, observed 2026-08-07T12:12:51.279476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.279476Z digest=sha256:02c44b5d1ae914d370489c69abd3abd9cb61a46f793d576fd9f82673ee67466a

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

Resolution
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no resolver link, observed 2026-08-07T12:12:51.315087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.315087Z digest=sha256:085deb168d1e5131a9063baeea58f55587474ffcb9a28e50cf0ed9e7fd14784b

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=sha256:670053ddb6d5ea8e63cac12220a69a4d8d76073a7869d8b249e563355a3d2082

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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no resolver link, observed 2026-08-07T12:12:51.464695Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.464695Z digest=sha256:11d194c2d23a30a6673f042218011617f1f89bfefa24f3909c6ffa39e64373f5

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

Resolution
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no resolver link, observed 2026-08-07T12:12:51.562830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.562830Z digest=sha256:53114f9567730a0a7575cac33d77a6fb0ebfc20c51e7ab922bf0d67b03466c5e

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

Resolution
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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=sha256:44fe3cfeb6f5703fff6781e460d6c9a96df30b4330668e9011f606010d2d1582

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.805171Z digest=sha256:e08c66c06de3d878f618d7c69f1da90a9dfc813c7d4ef72b8b0c790f75ebafc1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:51.915172Z digest=sha256:1ed0c4ef2a261bf1c109b3aa1df22dec3ba551ec60e1d5a1ecf1a29e3b6f46e4

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=sha256:3094930955df7fb92b1b893df5fd8f2d068e387eafb20857f827ca60ce0bf8a3

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=sha256:7c739ad3bb6b099861617580b3ef935d41dbd579bfd7ce8b3c42ca252b781d1a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:52.131383Z digest=sha256:6cee90411234563575d46c9737d95fa4d0bac1b14ec3bc9e89ab2b9f71768430

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

Resolution
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no resolver link, observed 2026-08-07T12:12:52.186107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.186107Z digest=sha256:90cb1f69a703d61af02669100a285a6915ffefa7a609319cf869ed9b04ddb35f

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

Resolution
unresolved
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=sha256:1b9f14b3c7bafe967c90ae8884a08a9495231c4bc3b5bc2e43703d487e84f1bc

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

Resolution
unresolved
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=sha256:4d4e8f5861bb15f2b283678337edae2710c2e11000646dcc06ccfffca6dc8ba5

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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unresolved
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:e81d0834bde1c62d996aea9c7c027491da9143f90538f6ec2cd50ac14ab370e0

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

Resolution
unresolved
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:e7e222dff0b2cea36ca64dbff1d00afbee8c3f5f91f965f9026606e103775f4d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:52.533727Z digest=sha256:66c29cd5dfb9d5e6b1962204ebfa1095ee35288483fbe8937c57a0135f8f5ebe

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=sha256:4c46bf08d68e2ae48dfa4e02bf08ab140d96d9c1d26afd21b99a1c24ad81f9e1

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=sha256:9208e9a2f09822ed9f656726ea925d9efa765a685ea4cf585fadfda99cabfef9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:52.795569Z digest=sha256:8170a7a741ceb6ce3e5a18bc4d63a1eeb99717513014b1b49c9c85a195f39481

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:52.909211Z digest=sha256:4f59872713b3641f8f0a71eeedbbe524d817eb25b3863549eed2b78960e10953

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:52.977049Z digest=sha256:6c02565e917cdecc7381fabee7ab1b78f05b0bc89b30978571e9d5034466211b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.046701Z digest=sha256:43bdc46cc05d5abaf4431237951ddc80bd837b60f05a4043ab5e6cabf668124d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.074481Z digest=sha256:9f745077617fd8b924f52f87bd238a0a137c3ea048cf170d5acb3694462db52e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.156492Z digest=sha256:28715fb03019410db32011a989bc3dcd8308f22c242ae07536fc06037ea5fb43

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.243312Z digest=sha256:0232fd31c4f27a598a437069f209ad56121fe27ac47e3e6c5110e2d13259d250

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.323644Z digest=sha256:82790457cc0e6f1cdc5a68af037b3ad7c59a16322b4e290e345ff88aa1b863d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.402831Z digest=sha256:93f4e9859179419c85ee3b2e5a751a303ce8bf6e0f9494aad22d9eaa376a70f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.433102Z digest=sha256:da638a0aa6a4cc4003d39fd23ca1010a4e0c8de8e5949fcb56424e57c104fbb1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.482120Z digest=sha256:1c9f840561da4b14da5010827c2d926074ab051da0307c0ac7c0e969f955fbf0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.528577Z digest=sha256:4ec1e243d299e905411d35f57c702e3b0c610bcf56f32ef364a53efaf2dcb3d9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.656495Z digest=sha256:1e0c8df426107e0f1228e801e6a9ff4504fc419cafed9045714f70a8f027cfa8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.765919Z digest=sha256:85537e3dad82949164dd5adf2e3d3aae0d191faaa976fed927573c3319cdfcb6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.886175Z digest=sha256:395a79febd08a0cf73c4cd13f11be23cdbd54876b69810a8aeade19a3f2ac74d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:53.943628Z digest=sha256:cff177d6238598eda23c85f79e435f71fcc6eb33b882ffc15faf4824b0eed3bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:54.050780Z digest=sha256:94de044a62da0005fd267532d7aa9415cb2b083a45815d56c105ed5b74258864

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:54.138453Z digest=sha256:daee7a20ccdc1428f4bb6663da2a41f7c5311eaa44b5eef6de0213fed8913739

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:54.404979Z digest=sha256:054edd6d5119d049a417ba7624b59dbdab8a5dd36e2a00ec662f92d4a2a66062

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:54.466524Z digest=sha256:e7e08fda194921635fc0302216a1ba315acca9ffd36bc4e333600ae29ccaa130

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:54.544284Z digest=sha256:4dce224bc95c40f8f48fd7963f2b9f9d174e1be0f9d0aa3d9ee5a4b556ff7f0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:54.613094Z digest=sha256:95d70422d7cecb481748b99bfab48823d6058119492249ba1b03df8a5277f7c0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:12:54.713185Z digest=sha256:83076742f589dda6fc367d531933c07bd452ebc4f784360c3d3b5edada6003b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:c0182a9e874fbed84258f8db1fd1ef0eebf265891a08876b618b4d7deff50963

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T10:10:16.661082Z digest=sha256:03f3dcb29f20ed9793702c1354f8469dee0eab21599d947138512ca71046b969