Pith. sign in

Paper Citation Record · LEDGER

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2505.19189.

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

pith.paper-citation-record.v1
2505.19189 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:28.103764Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:44:21.688397Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:16:01.472961Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e870846d-2381-4956-aed3-d729032a13fd · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:24.935260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:24.935260Z digest=sha256:f0ea6bb0d26aa68f27b51889baf046c435dd759d5dbe33e64d64da6836f5fefe

Observation 4055e144-7589-400c-9fa2-67a36fb1ff05 · outbound

This paper cites We therefore further evaluate how this filtering step influences the performance of POQD as well as baseline methods.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval We therefore further evaluate how this filtering step influences the performance of POQD as well as baseline methods

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:28.757535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:28.103764Z digest=sha256:1fcf61db870f66ed62052a57afaff9ab0c09b3599b8888ea02a80e883cf6e544

Observation 49ef839a-3bf3-4eab-bd54-479c4524b408 · outbound

This paper cites Coil: Revisit exact lex- ical match in information retrieval with contextualized inverted list.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Coil: Revisit exact lex- ical match in information retrieval with contextualized inverted list

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:31.389409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:25.275918Z digest=sha256:7a5611c32176a6b9eb074f248bc6fcb76a192e76db96b09d1a6a80af9b5a95d7

Observation f6e991a5-8429-4db5-8a8b-1a79337f05b3 · outbound

This paper cites Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:26:28.510064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:25.391328Z digest=sha256:64898a22843b8a1fa85ef20af329c957cb49ccfa9eb6824b20b97ab74e382366

Observation 07a87740-4bf6-41a3-a265-0fca50723135 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Dense passage retrieval for open-domain question answering

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:31.111885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:25.604139Z digest=sha256:d0e8845293d192b703df0203f681201757cd2bf3fa00fac2a32e05fee05a5bda

Observation 988269bb-6fbc-4d16-9da5-f1eaf81cba17 · outbound

This paper cites Decomposed prompting: A modular approach for solving complex tasks.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Decomposed prompting: A modular approach for solving complex tasks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:30.959177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:25.688615Z digest=sha256:69f822494c3b46d044f78f35b0da184e713a50c0099b380ae4379a7011dfec54

Observation f92273ee-a8fb-4b3b-b4a0-c624cce9c104 · outbound

This paper cites Llm-based optimization of compound ai systems: A survey.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Llm-based optimization of compound ai systems: A survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:25.852159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:25.852159Z digest=sha256:aba4abf56a84406db2629c37c4b61d629c5970d9cc4dd77d9c34f31e9207b8f0

Observation 92c2bcff-6fa7-4c3b-912f-5158615b408f · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:25.953132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:25.953132Z digest=sha256:2a6220c3faadd70691259dc63e2b3803b3358ae10f26f5f30fb6fc120e794957

Observation 0860cfa9-25c7-4ca9-a3c0-905a5b9a71cb · outbound

This paper cites Unsu- pervised question decomposition for question answering.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Unsu- pervised question decomposition for question answering

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:30.467215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.109999Z digest=sha256:67d335d669d6b2e4d785ecedb8a5e9ba0de389c222b5fc8626272c967b52c8cc

Observation cfb55767-a52f-4fb5-91c9-f059972b4da0 · outbound

This paper cites A., and Lewis, M.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval A., and Lewis, M

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:30.297729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.168386Z digest=sha256:85b31733073a15af2cd66c0102eacfb06719f5a407ab322bc87214ebb7520295

Observation d9c90ee4-a327-453d-b372-1fad88efcb93 · outbound

This paper cites T., Zhu, C., and Zeng, M.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval T., Zhu, C., and Zeng, M

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:30.129056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.242329Z digest=sha256:188b7e14a19a4138f60ab8bd055a6d6c681570e15e0e69c65db64f049d35518e

Observation e6066854-4113-4ebe-b816-ecab83a868f9 · outbound

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

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:26.357007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:26.357007Z digest=sha256:bbc292868a0c9562f2f9c78ab75b56794b18dc6ae506133b9bdd38a188e51870

Observation 5716871c-c0c9-4086-a185-c5bbee891218 · outbound

This paper cites Plaid: an efficient engine for late interaction retrieval.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Plaid: an efficient engine for late interaction retrieval

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:30.029801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.457508Z digest=sha256:460ebc84b108eef127f1b7568eeaa081933699710368b238ecc195b1a24fe6dd

Observation de389022-f718-4f58-8e33-9f175337bde4 · outbound

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

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval GenDec: A robust generative Question-decomposition method for Multi-hop reasoning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:26.537051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:26.537051Z digest=sha256:1efcf6f88eb7df87aad033bd78475e309ee2062cc5e9b7c47115a9bee528f31a

Observation 503a827c-4d1d-471a-8b8a-c6936c153b31 · outbound

This paper cites and Zhu, X.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval and Zhu, X

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:29.833257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.753172Z digest=sha256:eb0d599f4bdc54afbfee2af06ae120df5d32e48b79ea10bffb6557380564a940

Observation 0e488497-ba75-4ef5-966d-4fceaedca8ca · outbound

This paper cites an unresolved cited work.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:26:29.708684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.873239Z digest=sha256:b0eedf719f47883863cbe0fede368a3a963ce421a1541982cb3c87bb80f2b189

Observation e1b37035-c833-4396-b030-f639a423544f · outbound

This paper cites Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:26.968854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:26.968854Z digest=sha256:bc2d989e05de39ec3835d39a8ccb4dc8ee2f036c98b7dc0415f3da5eba59bc51

Observation c235c46a-220d-4ab4-9133-4ae714471215 · outbound

This paper cites Empowering Large Language Model Agents through Action Learning.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Empowering Large Language Model Agents through Action Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:27.036884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:27.036884Z digest=sha256:0a892c0e815f4a9c5ab6986b8b2caa6d969bc0c2d7df48e825e9ce0611af6b37

Observation 35a64d3c-05e9-46ec-8544-bd6545ec94bc · outbound

This paper cites Chain-of-questions training with latent answers for robust multistep question answering.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Chain-of-questions training with latent answers for robust multistep question answering

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:29.580873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.103510Z digest=sha256:c60e5b0e12af6f91933283fcc8368066b6ecf46c8f9338417e482d08d43ecdbd

Observation adc08ba4-c5d9-4640-bdb3-5945ec4f94aa · outbound

This paper cites By leveraging the fact that L(Θold 0 ; pold) ≤ M and Gold > 0, then the above formula is further bounded by: Gold − Gnew ≥ α − Aτ M.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval By leveraging the fact that L(Θold 0 ; pold) ≤ M and Gold > 0, then the above formula is further bounded by: Gold − Gnew ≥ α − Aτ M

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:29.479797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.230517Z digest=sha256:e11498893da888b10753301b907dae579b7cd412d389db63a57e593de2464265

Observation 150dd83a-9ca7-4e1d-9ac8-8b98503bb2de · outbound

This paper cites Among these datasets, WebQA, MultiModalQA and ManyModalQA contain questions that may require retrieving data from different modalities.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Among these datasets, WebQA, MultiModalQA and ManyModalQA contain questions that may require retrieving data from different modalities

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:29.372891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.314849Z digest=sha256:a8fab53e057e9edbe1152cd610497cb1547f3cc57133487f1e64c7f4a5ce783e

Observation b2bc6ff7-7a71-4e30-807f-53603675d950 · outbound

This paper cites Since ColBERT decomposes queries at the token level, which may not be suitable for decomposed sub-queries, we thus employ the Sentence-Bert model (Reimers,.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Since ColBERT decomposes queries at the token level, which may not be suitable for decomposed sub-queries, we thus employ the Sentence-Bert model (Reimers,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:29.292661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.466087Z digest=sha256:d67f658144bff637d8e97369072bab4d237ca706f268e633b91b9c6d940e5468

Observation f712ec92-0eb8-4c74-8c48-389a8bb426d4 · outbound

This paper cites an unresolved cited work.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:26:29.195513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.567497Z digest=sha256:4cfeafe3f50af13e5bdb22462fce4e4140cc6329e88241865cee0a60bbb2b373

Observation 3838f15f-ef5d-4c72-9264-7fbc4142365b · outbound

This paper cites an unresolved cited work.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:26:29.100348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.667596Z digest=sha256:a7a50596e878b2a013c9551a0e671e350e851081e8ef272f75b557efaff66d77

Observation 8d055540-b4d1-4998-be9e-e9e0781fd215 · outbound

This paper cites an unresolved cited work.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:26:29.019756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.802349Z digest=sha256:9310904189b0ce1ad500a0af2bf2e46f8149c1eb576c173d81e4cb88581612ba

Observation be6f0fbe-2d81-4a44-ac4a-ee86ae4a70dc · outbound

This paper cites an unresolved cited work.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:26:28.933897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:27.930361Z digest=sha256:bc8906995497f25062cb0cc0a198eada500ab64f81b5e1bfdb9c1ad050143bdc

Observation e85b8703-c41f-4701-80e2-71c18fe99b54 · outbound

This paper cites Comparison against the query rewrite strategy There is an emerging trend in the literature for rewriting user queries to maximize the RAG performance.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Comparison against the query rewrite strategy There is an emerging trend in the literature for rewriting user queries to maximize the RAG performance

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:28.828006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:28.036559Z digest=sha256:9c89973570e64cee51fd57194a9f6a9d4e33cebdc7da28ab848cf4df0449d45b

Observation f4da702b-1e46-4a86-bf5d-8fcc9bbf29f3 · outbound

This paper cites GPT-4 Technical Report.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval GPT-4 Technical Report

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:24.538174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:24.538174Z digest=sha256:47109de233badf76a80872f2f5efd69b825e8f4fba72c695c74fd62be8e42505

Observation ca8294c4-b969-4842-a91b-5320d471793e · outbound

This paper cites In-Context Ability Transfer for Question Decomposition in Complex QA.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval In-Context Ability Transfer for Question Decomposition in Complex QA

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:24.739192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:24.739192Z digest=sha256:3ec1f976b031513f80ea2298ca0d7402447c3c84ae68fc925b934272a06ddaa8

Observation 5dcf8c6b-6eee-45ae-bb86-da27f13225e3 · outbound

This paper cites The Llama 3 Herd of Models.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval The Llama 3 Herd of Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:25.043729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:25.043729Z digest=sha256:e338daa5563878a43134582f4024921f8f10aae44213f3947d362c9e8038d694

Observation f924f9f3-ff27-47da-8874-a1f8c55f719c · outbound

This paper cites Query rewriting in retrieval-augmented large language mod- els.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Query rewriting in retrieval-augmented large language mod- els

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:30.671738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.037050Z digest=sha256:bbd6117e33c63b102061f4209daaaeea0f33e6f58a9988bb4d411086eef3cbaa

Observation 5e77dabd-dc68-40fd-beaf-e91705e763f9 · outbound

This paper cites Latent reasoning for low-resource question generation.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Latent reasoning for low-resource question generation

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:31.258801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:25.510513Z digest=sha256:11b3b36bf031703079958a5284ad6d113f79b5f872827fb6b3a9c2238d4ece55

Observation 93af552f-7528-4f86-8363-e05ad6c596f2 · outbound

This paper cites WebQA: Multihop and Multimodal QA.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval WebQA: Multihop and Multimodal QA

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:24.818434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:24.818434Z digest=sha256:9137b82c8c86ab6898b3c398120332d3a9aec1e71663020ce238c6ea288e726b

Observation 4da90eb5-8084-430f-9e6a-67c9684355c9 · outbound

This paper cites and Callan, J.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval and Callan, J

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:31.543404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:25.158438Z digest=sha256:881c4dbcd2dcab5c1637b3eb9a700f54eff91939963487c6e0187b806712e05f

Observation c12c18ab-817b-4069-9937-56a6db61e190 · outbound

This paper cites A framework of knowledge graph-enhanced large language model based on question decomposition and atomic retrieval.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval A framework of knowledge graph-enhanced large language model based on question decomposition and atomic retrieval

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:30.838793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:25.775323Z digest=sha256:877f776194a85fbbdf85bb495ab3ca092567b87def61a4622e29590da3538a30

Observation a5881677-8531-4095-a066-927641370f0a · outbound

This paper cites Semantic parsing on freebase from question-answer pairs.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Semantic parsing on freebase from question-answer pairs

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:31.666906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:24.645569Z digest=sha256:f375c2599e17aa64260a7d3a60479df7a42d32967d29000b120b0f5d64b9ffbe

Observation 2811d108-72a7-457b-9207-2746a753a305 · outbound

This paper cites Search-in-the-chain: Interactively enhancing large lan- guage models with search for knowledge-intensive tasks.

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Search-in-the-chain: Interactively enhancing large lan- guage models with search for knowledge-intensive tasks

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:26:29.926067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:26:26.681996Z digest=sha256:bc5ee8b2681ebda8d639b5467866e9e40f39541c1c49fdcd3b9ce957fec7f8dc

Pith citing papers

Observation c96323ef-4515-441c-b74a-4c7ca2f39acb · inbound

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection cites this paper.

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:16:01.476085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:44:21.688397Z digest=sha256:ebf09455a2e96fba7205cc4baa8716f9a58952f156deb286678cb7a41741f88a