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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-22T06:32:14.747728+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:a751edbd2f0fc1a49542a491c2c7f21c761629107714cdd66617c49ca51c295c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:28.103764Z digest=sha256:d319f471f41b04957cf4980ba700c04602fe61f0770a68751fc58a364ee7d9ab

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:25.275918Z digest=sha256:0c43d8a25b74122b3131fca69e2889aed9d72a134c533d4b9877bdc9da909949

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:25.391328Z digest=sha256:ea97f35470d3089ef14771d5caa863b21532d2ee418b6d79c0afd7adc2913025

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:25.604139Z digest=sha256:0511275f420df9db933cf8f4b4c792803b98cdf5423951c8e3ba4bc20ee04758

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:25.688615Z digest=sha256:4e0187ac20ca274ef4326b56ee4f117d7fb24434be2336bc44e384f5b5288f10

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

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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=sha256:1481090b4de5a75f7cfec7ec351be5947dfe7b0a6dc98d00dd57d7b69928a6cc

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:acadaa9c3f226efde7c27aa15e174de755283f63bca5dd11bbe92fe8b72d6f2e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.109999Z digest=sha256:b472d792aba3614945e525fb574437b8a221c06e31353d47063f1dc4db658e88

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.168386Z digest=sha256:e61cf12026d985f25a3bdee4e214a6ce48c448681c1653ea067349742af22a13

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.242329Z digest=sha256:73329021903f9aa8b3c5a1a2e72bb7fff58f7a676ebc51cdd1814fbc26cd2932

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

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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:a249a697da23bc437b9bfedff09fa32578c4b2678205e936db5b6d9e1417fae8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.457508Z digest=sha256:5f7e5c281e824bc85078a57be180fc761d6b10a82e21046875b835cd74b61f7c

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=sha256:4cd05bb0c46f7b5d1bc0d1fbe32a16400d884268ba58cb521762efb0d018c5fa

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.753172Z digest=sha256:84e0c851ca7e68f184146fce9a6ea331beaa7296a3b920b1d2a197efe99c036d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.873239Z digest=sha256:86cb1d3ef0d7e90ccd9bbac77177fb18f50a5fa67b67fa009fb615bef59ce234

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=sha256:73dad78e0d54a5d1b91397d378a8b67d614d8b62e3de1c719ddaed6127fa395e

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=sha256:918342896e9400354304771e7bab8e62ebac8b7820b0ef52af296b5127010b7b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.103510Z digest=sha256:b07c689825415e4d012aa508d4d306028617f8d33cba2959413e5fa737877a2b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.230517Z digest=sha256:1714b50f74794184e00962fc15a5db350f8ef6bfb49b093209f5058485a0c19a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.314849Z digest=sha256:b0b890dfe9f0279da7e271d5d536518a8abbe1c0850ce2d8a621d4d74a3c6cfe

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.466087Z digest=sha256:18497d55b4bcfaf3009f9fe561b68fcd19c8b183dbe003bd8cb3eada30e6ed94

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.567497Z digest=sha256:0b76a9bac85705d6439dbe5b3d5577817423a0293ee41004c052ef4691029224

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.667596Z digest=sha256:41f0d98c71fdd3d34ee0dab530408f7ca9aa0877af0d158a8a0e6b502d1bfc64

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.802349Z digest=sha256:2ce96c2df7a295ac4e8b3035ecf358aee21dbaa6531e793a505b03631b8168ff

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:27.930361Z digest=sha256:01a8faf5f6a7fe622018b10f0536c7e1b8c31171333f0c03b682d4f0c6afd370

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:28.036559Z digest=sha256:cc7eec6fca45abb5e109e147a41bbacc37c5e4f70d4dc7071cef1f3c23a4b946

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=sha256:1c50ca1c7ad3faa4545d45a8647dae7a903d0762d627c69b0c07e934c260e53b

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:d3ade82021905634d40ba08c9eee40696c11864c60eb123c342e2d0c8a0a824a

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=sha256:213e738cf786c9e083432a082cebdbe5381e960365f14a4b7f9e7e5d13721915

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.037050Z digest=sha256:24a32425010eaab9a3266bdbc66e938430fb975dbf81be0d0101dcc70f4e9e3f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:25.510513Z digest=sha256:6ae5d626837ccfd3d8b4df58dea14abc566e91aa36c5ae113f3cc395cf9ab9e5

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:abd398b916862983527a8174e2b1ff6bdca381c5c524af2c28a6c86a977ffc0d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:25.158438Z digest=sha256:284c368134ae79ec3cb1c2b3b970da85430d536ec69a4e9ba2193735bd0f62f1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:25.775323Z digest=sha256:26f26d98a12a122055ba70e3b0aac48edb21df4e97c5e25225a92b50984b5dfb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:24.645569Z digest=sha256:f944f706ea40066c2bdfb72fa2106de3ac062363e7b5e92084cafb1be096b245

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:26:26.681996Z digest=sha256:4afc50bbb24af385d737ecdbe636f897d260a9ec54764fb0daf8a370dc15cb36

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T16:44:21.688397Z digest=sha256:30484aef6db279f53f1d20c1ad9b0a05d96be167ea77b61e48d0d6e93ba3b700