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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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: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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:28.103764Z digest=sha256:1b25fc6a627fd54ff8d30fa23f07ffef8197873927db33489d8bd649e73ec7cb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:25.275918Z digest=sha256:c3fe0368af11081b00184ab19c17f734a8baf7336e721b7d8bb47f2d136eb5a6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:25.391328Z digest=sha256:a67eb5262f7948b6524df3a42aa9fd0de32d29603a4fed32185b49d251ff2739

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:25.604139Z digest=sha256:ad192d2b15424dd559a218250b184389ddd2e58bad0c235348bb357e5f887354

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:25.688615Z digest=sha256:77905814e7b94e0ab8fd2e3aad3797f365bd5dcf8440e9977254a5110e48cfff

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=sha256:1481090b4de5a75f7cfec7ec351be5947dfe7b0a6dc98d00dd57d7b69928a6cc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.109999Z digest=sha256:7aa3ea7bdfc156fe0f66649f0ca96cd5280299d9dce440a3eba234c6154491b9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.168386Z digest=sha256:24d1ce0c09c9d26a0baf0c48d365fabaecca273f3984eea9ad62690589a3d1f4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.242329Z digest=sha256:9d16b4406e7bd0023fba25fc1d9c7b872e1c2d333a9890382a2b78f08e58667c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.457508Z digest=sha256:c0429acca37736f12e208f3e8efa062c93b80cf1323cfb48aee51ce5644810d6

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
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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=sha256:4cd05bb0c46f7b5d1bc0d1fbe32a16400d884268ba58cb521762efb0d018c5fa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.753172Z digest=sha256:b9df7cfa5bae775bb7183013f251a63df6bb3a7424c6e87c55908b0fe029f04d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.873239Z digest=sha256:0fa711a145c47ad964cffd8c0df00a7fffb1bd036ab9fc0f21945754864ad859

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=sha256:73dad78e0d54a5d1b91397d378a8b67d614d8b62e3de1c719ddaed6127fa395e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.103510Z digest=sha256:c2e77607eda96adc1f6318d2d416f9ce46f73cfee4eea3e5ba7479369bf3eddd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.230517Z digest=sha256:2969d0583b7b573a3faba15e8f858afa301a60092851365793245cde9ff91626

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.314849Z digest=sha256:505eca36f26a8832e3e06adf6edb869ad2dbf682796952015f36c8fc55618040

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.466087Z digest=sha256:9af7c52d3979093b1bee45d5ad88d9691d33dedd736d01e98aeddd85af74ef78

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.567497Z digest=sha256:31b5a5287816540d72345a8845858373bd6ecf2b760a30671547ab985c8008ec

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.667596Z digest=sha256:fafe168359cd893b667a7e4900f9c2b3b42cd408cd621447950f47091d70de39

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
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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.802349Z digest=sha256:f526e06c87bd8cf85b26ef7f29951303b2b831025300fd52f284698e9aa1f6c4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:27.930361Z digest=sha256:525024c476b94aa22fb8152fb06b09443ebd421a6bdcdd54c3a06ec6d4b89cee

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:28.036559Z digest=sha256:c7c17173bf494dd7f891585f1cb84f25552ea4e5b1d75d54f85bc47979b9ced3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.037050Z digest=sha256:0e6fe2bc55028a69342823696faad00c6f2c53e3f9c11d5be79ca1e298b68cce

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:25.510513Z digest=sha256:53fb940a499597e505ad956a0eea9990e393b23598c012206e4688e6571387f9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:25.158438Z digest=sha256:e828dacbfc0a187f8d0ad2a493d7317e229218fa8e31dc907b5ad1dcfebad704

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:25.775323Z digest=sha256:7e7415962fc2f76fb14d9326f796889e3ac6d721f798acef87fca15982ea824a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:24.645569Z digest=sha256:582e197e75f72a8f3ebe849fbc4026ae51b6952fbfae56780bd14390a41b1a64

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:26:26.681996Z digest=sha256:5126cddd1f576c586b5da532b7e2bf74a6a13e81b1fe54f68f66edf17f5ade9a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:44:21.688397Z digest=sha256:c63b7d9c74734ba47456681822fefb51272df8b3e1c50b1a17a03c7d0779e1d5