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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:28.103764Z digest=sha256:0a4104237c324dc0cf33d826dc92f53e374b85f52e65ae5b19c2918e140ccd78

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:25.275918Z digest=sha256:2be30ba90c06846ad351e278103dbda79dc5799e6fcebfde43b7b2840fe15731

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:25.391328Z digest=sha256:2e4dbfd30214ddc10958e526eee531904fae4e4253f16cff664bd892188903fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:25.604139Z digest=sha256:7b00f36352ede6c2960a543549c06db59807f7417a86cbaf6f08822f044e9ed9

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:25.688615Z digest=sha256:e6fd00853442d126000f982778adea791ce6b01bcf8fa04476fcb12dd0bdb2e9

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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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

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.109999Z digest=sha256:65ad4e7a63e4a5aba42edf67c583cc80c44ab61fc94e212c193a55dec0b8dd0a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.168386Z digest=sha256:765a6f9188798acfd642150fb07de999171cc8a686b1ffc750b1da5b28784fa0

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.242329Z digest=sha256:52ef888f6de713fb814a8a3d12da2e3f051372e16738e309073d6126fb6aa321

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: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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.457508Z digest=sha256:7f82efdfc8ff4eb346015d9c59480edc032194e6c1c5c25ec54727e4eeb10087

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.753172Z digest=sha256:a71b988bb9e1d00e00518e793ca37f6328a4b401e87084f641c0e709f015df37

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.873239Z digest=sha256:30f4448155a555557be088cd704efd4caf4cf8954b81f23d8dde5a3cab15841c

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

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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
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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:a40a02223e6f54cb0e38e107f399c6f5e2343b3c817e40ccf38487f322ac0666

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.103510Z digest=sha256:e65cb4b7d779330b686365733034751f2ae22ff8ec059e8474c9fbfc80879295

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.230517Z digest=sha256:dff40ef6309726f9ea7c60acafdec627e1e14aeed683ae9126ce7a7dd1765f73

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.314849Z digest=sha256:3746cd3029347282e40eea8740a6990bbc01a68a832beedd3890bc719f68ebfe

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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.466087Z digest=sha256:c16d2224c9d2d2f11ca5d04425304462b1f3fc83e66d5c59fa97d2369c5ddcd2

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.567497Z digest=sha256:8e05845c8672cdcdf6009a7cffb32e59859ba91b4e46f8b75cba085598caeccc

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.667596Z digest=sha256:7a07b58dd69e36f755d35c5593ffbbbcea866ab9fe47c598b1fc6a6037901dda

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.802349Z digest=sha256:b12ccd68df4ee449fb6c92eddd85eda8fe02f3b30c35335427c1295f3c99b953

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:27.930361Z digest=sha256:2860cb86f9b571fc154dfc44ef95d4054a876b59eb4730f77e2a3fc84b9a41c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:28.036559Z digest=sha256:ce6c8671f3be73b05d32b4bfb12cef8deb637487cbc9261fd7d82f5689620c28

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.037050Z digest=sha256:14c66c572b167298954088a39ea72229ba2f1cfbe0043453c09839349d1c2840

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:25.510513Z digest=sha256:fe6f85121cf8e93947baa4ed456e499bb7ac1ecdb5979d3a84b4a3cd447df2ed

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:25.158438Z digest=sha256:b46bb78baa892da79ee727156cb92628139d29cb15211c58652a487f64608446

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:25.775323Z digest=sha256:bead8fd8a1dd520cb7134b3ba5164070d442d0b7c1eef3eefad1cfd6228925da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:24.645569Z digest=sha256:7c4e99b6f6311032ea6cf7be24e19c443c08dca26d6dbc243f795d369dd12a22

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:26.681996Z digest=sha256:ae00a4dcea9b47930d9a6d4f81e61550636eb5f796c058b03b9b7a48595c4e45

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:44:21.688397Z digest=sha256:58bcdcacebc27183ac16833110b3ca5a50db5c8bc53d2297e5cd3ef84ec1d44e