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Paper Citation Record · LEDGER

Question Decomposition for Retrieval-Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.00355.

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

pith.paper-citation-record.v1
2507.00355 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:23.307391Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

48 of 48 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 644fde40-4959-4b09-adbe-62aec85eb048 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Question Decomposition for Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

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no resolver link, observed 2026-08-06T21:23:20.077195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.077195Z digest=sha256:a1a2466b96d6c06bea55e988e73a71c04a10f6b0b96e402a57406e089c5f0cf7

Observation 159b8ec5-3d8b-4b1f-a39d-4ce6d0cf168d · outbound

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

Question Decomposition for Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.146034Z digest=sha256:3544000cbb4dbb77d0a8ca1d240c11801bdc074f4bcd2c513f1a6dfaa72e8bad

Observation 486d9553-1da7-4279-8981-562a25deaf00 · outbound

This paper cites Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering.

Question Decomposition for Retrieval-Augmented Generation Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:23:24.894957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:20.219223Z digest=sha256:32368328a329742134d543b5bd5f896460224e57f9e1f7c5ac58849b6ac0e83a

Observation 6210af9e-149e-4204-9de1-6e7c34bb34ba · outbound

This paper cites The Faiss library.

Question Decomposition for Retrieval-Augmented Generation The Faiss library

Reference 4

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no resolver link, observed 2026-08-06T21:23:20.307442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.307442Z digest=sha256:09cd1054fa5d0ba7aa822d67e9934ef644870ffa1d733e535a9296b2abec4373

Observation 9c0f8577-0a12-4182-88a7-133b4ab86b6f · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:26.476735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:20.336647Z digest=sha256:4544dfe804b3a6473f7ae958b9bae3beeb57e38a160b679c0bf955186d6734ae

Observation fd93a626-978e-42fc-9088-8670fb256439 · outbound

This paper cites GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?.

Question Decomposition for Retrieval-Augmented Generation GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:23:24.575798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:20.454788Z digest=sha256:16552716b3d00cb0e08166232e14efad6f2d6470e4b73d9e2449943b57f980e9

Observation 45801ea4-f5a8-4540-858d-446927bd22cb · outbound

This paper cites Multi-Hop Paragraph Retrieval for Open-Domain Question Answering.

Question Decomposition for Retrieval-Augmented Generation Multi-Hop Paragraph Retrieval for Open-Domain Question Answering

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:23:24.402883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:20.490842Z digest=sha256:1d06b438465c5a5064795aed2ed36f1a74126f828bda90787ae61a2417ca5da6

Observation 9f66963e-c93d-4221-830f-b4edff4b5da0 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

Question Decomposition for Retrieval-Augmented Generation Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.556920Z digest=sha256:5cb356be381697174395517821646e93b29609ec6c016af363b32d09f58239c0

Observation f9bdd54b-c9d0-4dfb-836d-1ba8ae1cfc37 · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-06T21:23:20.628266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.628266Z digest=sha256:eb453bcbf9e78906c3b3802a56678ff3140bd95c341d0780176f57bf5c100fba

Observation c083d8fd-8e4b-46fe-8ec9-fcc630b17bed · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-08-06T21:23:24.231022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:20.689848Z digest=sha256:ca02ba8c4372a5f102593da6059c9ed3217bff57b63c0d660c0b883168356448

Observation 7c77785f-1ad3-428d-b065-7d9631ae82ee · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 11

Resolution
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raw_fallback, observed 2026-08-06T21:23:26.165604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:20.761093Z digest=sha256:265d45b0cd6bd4ec86d42231a1829660bea783be2a910be05c9970bac2b292d2

Observation b2806c3a-dee3-40d6-8c34-ecb16529f284 · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Question Decomposition for Retrieval-Augmented Generation Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 12

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no resolver link, observed 2026-08-06T21:23:20.797477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.797477Z digest=sha256:b31a02471871defc857a877bcb3c09a0d16ab22342cfb14a4abdc0b1f5106f75

Observation eb11506c-de47-4c57-8e1b-0816da7ad74f · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Question Decomposition for Retrieval-Augmented Generation TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 13

Resolution
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no resolver link, observed 2026-08-06T21:23:20.915312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.915312Z digest=sha256:ac173995aab40ad4dac40aabd63e4d53297413a8be10c8fd8c1d9330999ed3ba

Observation 1c4962c1-9419-434b-8c8a-e6ba6f3126df · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Question Decomposition for Retrieval-Augmented Generation Dense Passage Retrieval for Open-Domain Question Answering

Reference 14

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no resolver link, observed 2026-08-06T21:23:20.989634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.989634Z digest=sha256:e6dec2f24f869a38638e090b36583786d1fea12041f74ddbc5ebb02387d3979a

Observation 9cccb22f-7969-4a0f-a6dc-fda2c3f2f6dc · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:25.950253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:21.068095Z digest=sha256:c55b0756f4a64a5055172dac61366a508d2249c31210b09a01eaa54830c08700

Observation 50a4cd40-b44b-4a51-8bf3-00e364f8d3bf · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Question Decomposition for Retrieval-Augmented Generation Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 16

Resolution
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no resolver link, observed 2026-08-06T21:23:21.114651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.114651Z digest=sha256:2c709a1e593bc1aabc4e92078e5a456193f4cdfdac5fc699dae2138b34f04fa9

Observation 95ba0dc5-1d2d-4cb8-bb5e-77295ed269df · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 17

Resolution
verified exact
doi, observed 2026-08-06T21:23:24.117197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:21.206323Z digest=sha256:a2f61f74f057b788e90d7196dce76388fdd165e13049cf2d21aa82fb9d727ea3

Observation 761ec101-2f34-489f-8aa8-a37280fb77d7 · outbound

This paper cites Query Rewriting for Retrieval-Augmented Large Language Models.

Question Decomposition for Retrieval-Augmented Generation Query Rewriting for Retrieval-Augmented Large Language Models

Reference 18

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unresolved
no resolver link, observed 2026-08-06T21:23:21.273058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.273058Z digest=sha256:454addd825bba4ecb1bf2568a3bb62cbe99ebf60f9f5934bfe61045d04f30a60

Observation 53b82efa-5f64-4423-905d-0aca666af6bf · outbound

This paper cites Multi-hop Question Answering.

Question Decomposition for Retrieval-Augmented Generation Multi-hop Question Answering

Reference 19

Resolution
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no resolver link, observed 2026-08-06T21:23:21.366817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.366817Z digest=sha256:936073473035aff03468278108e79d2f69a24dd8d8bc5ea730fa85317450126d

Observation eb303553-d484-49d6-a43e-a0b191939ed4 · outbound

This paper cites Multi-hop Reading Comprehension through Question Decomposition and Rescoring.

Question Decomposition for Retrieval-Augmented Generation Multi-hop Reading Comprehension through Question Decomposition and Rescoring

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:21.463992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.463992Z digest=sha256:05e355135395ec99d3515066be7802ddbbb60181727f6da5d16d39e5e9954841

Observation 3fdf1879-3ea3-4099-b560-e016222b8e1f · outbound

This paper cites Passage Re-ranking with BERT.

Question Decomposition for Retrieval-Augmented Generation Passage Re-ranking with BERT

Reference 21

Resolution
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no resolver link, observed 2026-08-06T21:23:21.534829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.534829Z digest=sha256:f0c2119584f934a870087bb93b9b28eb1947028cd932382dc529919ea487994b

Observation 6567c2e5-22da-4157-952c-af9c997a2b0d · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:25.687441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:21.617538Z digest=sha256:719e15c33f39a6ee4a8bad275f42f053e775ca3b2749a0c9a435ffb601cfbb3b

Observation 21e554b1-a966-469a-bfd4-7c72f8f2716c · outbound

This paper cites Unsupervised Question Decomposition for Question Answering.

Question Decomposition for Retrieval-Augmented Generation Unsupervised Question Decomposition for Question Answering

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:23:23.902086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:21.680786Z digest=sha256:86a7fc21994f1551e80a307f4292aac20e0df1496346535a3634092f72e6975b

Observation 420c079b-3c61-4487-abc4-11a888c3ca66 · outbound

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

Question Decomposition for Retrieval-Augmented Generation Measuring and Narrowing the Compositionality Gap in Language Models

Reference 24

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no resolver link, observed 2026-08-06T21:23:21.749241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.749241Z digest=sha256:ff63a853c48b3d3227339e0dc57dc4fbf9ead34bb880ae3aaa40eafa2053fcdf

Observation 829ffa2a-76ed-49ae-826d-b84a2360a1ac · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:25.440885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:21.813498Z digest=sha256:0dfc79baf74231d62e9a1249e3e79dd7c7dc0d6a4b7e46bf0e0f43ca6a5ebd3b

Observation 3e9d0bcb-3719-4bd6-8268-55ccb9631dbf · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Question Decomposition for Retrieval-Augmented Generation SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 26

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no resolver link, observed 2026-08-06T21:23:21.883169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.883169Z digest=sha256:ece13fcfc2cab192f93d9572a0e3dd85910ba585bb906eab7f50cffc5d013823

Observation a7610852-3ba6-4cfb-929f-84f090583d8a · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Question Decomposition for Retrieval-Augmented Generation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:21.952547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:21.952547Z digest=sha256:8987e2d147f2aa2b9e8b3b864ea45ba6a396a63b7536365f0d34529916a24456

Observation 3ecf6f00-53bc-409d-ba4f-26cefd33541b · outbound

This paper cites Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains.

Question Decomposition for Retrieval-Augmented Generation Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:23:23.751107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:22.052677Z digest=sha256:1d08356c2726e3f457e8f0ec0e33e9614a8876ccf32631e6337121dcd4c63a55

Observation 9286b8cf-216c-44e1-a099-330ee8571f91 · outbound

This paper cites Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy.

Question Decomposition for Retrieval-Augmented Generation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.150044Z digest=sha256:37917fd32801941a252ecffa7c2de101f5438461017694059af44b61e0a8af50

Observation 86a7b6e6-3bf5-4fc7-b813-08c03205cfe9 · outbound

This paper cites Large Language Models Can Be Easily Distracted by Irrelevant Context.

Question Decomposition for Retrieval-Augmented Generation Large Language Models Can Be Easily Distracted by Irrelevant Context

Reference 30

Resolution
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no resolver link, observed 2026-08-06T21:23:22.232679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.232679Z digest=sha256:e141785a35faaa59ced704f23b4658e3d1703a1b32c8d5e8fe66a3531c836f72

Observation 95448eb2-ed39-40b2-85bc-fbe9bdf651cc · outbound

This paper cites QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation.

Question Decomposition for Retrieval-Augmented Generation QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:22.286529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.286529Z digest=sha256:a5cde38aea91d15f7127116ec0193906b00d4cf0a0cef4ca5a18174b11cc8fe5

Observation db283de2-8c20-4ae9-9a10-421c7ad662f0 · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Question Decomposition for Retrieval-Augmented Generation MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 32

Resolution
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no resolver link, observed 2026-08-06T21:23:22.358816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.358816Z digest=sha256:6b650db6d2ec61d36ffa85cb5254ed05741b97df057e8941737ac19a53ed9bdb

Observation 45addc31-3736-4e31-bd05-78114a42c037 · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:25.272035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:22.410644Z digest=sha256:5edf281413204cb412393ab18f06bc52517eda595b412645575459343dc9eeca

Observation 3cd419a0-7d88-4fab-a55c-b6059ee44616 · outbound

This paper cites RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation.

Question Decomposition for Retrieval-Augmented Generation RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation

Reference 34

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no resolver link, observed 2026-08-06T21:23:22.465614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.465614Z digest=sha256:5d1e86057717544f3c35702955a574dfef49cd539c5adee2bad9983169e19d4e

Observation 56c6025b-3220-4b8e-9819-d5778269786c · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-06T21:23:22.533211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.533211Z digest=sha256:0e3b7972e35fd131a22629a19bb3065d73a5285d7361b300275a173f932727b1

Observation b8f65ac3-3ea7-47d6-a5c6-9d103c0e63a3 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Question Decomposition for Retrieval-Augmented Generation HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 36

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no resolver link, observed 2026-08-06T21:23:22.619510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.619510Z digest=sha256:429406a2996d8d747b1fc5b1dd4fe2a7e80c7a23fa9cb4e254cf4216fef362ee

Observation 9a9bc43b-6260-4ac3-9c83-232cf94f7d26 · outbound

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

Question Decomposition for Retrieval-Augmented Generation GenDec: A robust generative Question-decomposition method for Multi-hop reasoning

Reference 37

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unresolved
no resolver link, observed 2026-08-06T21:23:22.684301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.684301Z digest=sha256:25a3f33461015ef4f2e896988dd2ec3d69b61499373488af81fdc4c990f4a227

Observation 34b4b030-0fd7-484c-98a9-1c027070c5ec · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Question Decomposition for Retrieval-Augmented Generation C-Pack: Packed Resources For General Chinese Embeddings

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:22.737993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.737993Z digest=sha256:c59f41356746a0fbaa55dd0c65598ae4ad0964b09009ea7e39f97419da1862fb

Observation 13753073-0d91-44ac-a649-a0478139f56c · outbound

This paper cites Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks.

Question Decomposition for Retrieval-Augmented Generation Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:22.785863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.785863Z digest=sha256:c71f1eda1b9932dd271dd905b6c7ee53d781ab421434fa27c1e05b948d1d79a7

Observation 6036bee3-54e3-4aa4-9d09-ae99f2e677cc · outbound

This paper cites an unresolved cited work.

Question Decomposition for Retrieval-Augmented Generation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:25.077085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:22.844879Z digest=sha256:9e29729e5ae87441dc7ebc8d4ea453052e7c8c74011bf1d207eb5933c32e8287

Observation 92009a9e-4b55-469b-aca0-5982f1893da3 · outbound

This paper cites Corrective Retrieval Augmented Generation.

Question Decomposition for Retrieval-Augmented Generation Corrective Retrieval Augmented Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:22.885332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.885332Z digest=sha256:216d105d878d4f4ca63b982e941619397185c44563bbbbcdc74833fde94196fd

Observation 2bc897c5-3470-4db6-bd4a-ded61b40f4ba · outbound

This paper cites Qwen2 Technical Report.

Question Decomposition for Retrieval-Augmented Generation Qwen2 Technical Report

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:22.950929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.950929Z digest=sha256:451f2a0113e6eb88e2eef0d27ad952ba3f5811ce6d8971c26e38fbb7c6a238bf

Observation d78af964-a4d2-40f5-bcee-8064365e072c · outbound

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

Question Decomposition for Retrieval-Augmented Generation HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:22.993682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.993682Z digest=sha256:1a95e6e1567e62724427f6ca239f75512fcb6b8cf0023a627d40455c3b2f3720

Observation 5015292e-78bf-4a38-b2e4-4ab2927de593 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Question Decomposition for Retrieval-Augmented Generation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:23.034448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:23.034448Z digest=sha256:1a7bbef520f8525b699dba1da52a887a42a58e6ee6ac8d58519f5aac407f6cf4

Observation c507d527-e824-4dbc-aab2-6f2f9635ce0e · outbound

This paper cites Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts.

Question Decomposition for Retrieval-Augmented Generation Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:23:23.465417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:23:23.095793Z digest=sha256:3038a5c5a2f72d1e9ae50e06ef5027e5e75a1056f09286210dd8187963a8912e

Observation 8ba11c44-f29e-4042-bac5-7a6bf3058116 · outbound

This paper cites Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering.

Question Decomposition for Retrieval-Augmented Generation Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:23.169941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:23.169941Z digest=sha256:85d661b68752926ea236da8c539c8a5d9a753138a95cd5e8a9ee80a36566a103

Observation b2f8d51e-097b-409f-b0e3-e1dc0bb25798 · outbound

This paper cites online" 'onlinestring :=.

Question Decomposition for Retrieval-Augmented Generation online" 'onlinestring :=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:23.230356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:23.230356Z digest=sha256:5229ca38672fefe6efcb5fb35626fa1e5d828dcf13399ddec5b8509c2c233861

Observation c4ec015f-791d-4456-bb17-121748a2a70c · outbound

This paper cites write newline.

Question Decomposition for Retrieval-Augmented Generation write newline

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:23.307391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:23.307391Z digest=sha256:b2f443da15e31b5d597baba5594e3ebf91d37f1f605dcecbebc21c612ad28f10

Pith citing papers

No inbound Pith citation observations are available.