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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2404.00610.

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

pith.paper-citation-record.v1
2404.00610 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

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 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:04:36.948969Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:18.459987Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f71c42ce-7deb-4a2a-8803-73014b7ca80d · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 128

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verified exact
arxiv_id, observed 2026-05-15T13:32:17.367327Z

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=2026-05-15T13:32:17.177021Z digest=sha256:f196bc24b448decc52e669d3262a6b4230dd0b2aa1fa7ad1866a7f3b14b59aa4

Observation a4a78c87-5d90-4ffa-a4f4-e10199fa27a4 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 12

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verified exact
arxiv_id, observed 2026-05-24T02:15:55.422501Z

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=2026-05-24T02:15:05.379583Z digest=sha256:ff094f1e07b3759b50dcceff102e1a86dbb45f2b3363c893a04ae1bd10f9ace3

Observation f1333d0d-e415-4912-aa8d-34778d195fbe · inbound

LightRAG: Simple and Fast Retrieval-Augmented Generation cites this paper.

LightRAG: Simple and Fast Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 37

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verified exact
arxiv_id, observed 2026-05-13T01:59:04.295702Z

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=arxiv_source observed=2026-05-13T01:59:04.121183Z digest=sha256:49672463315a7ce7336663223deacd751785048e7959bdbd25dc0b9e37f79e78

Observation 7de85291-3438-4d43-8e0b-566089c839dd · inbound

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos cites this paper.

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T15:04:36.948969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:04:36.948969Z digest=sha256:a4d329ecd570a5095b2cad2ae0c92acb175c5905fc4c7995273517f4395d636e

Observation 0a23b9ae-613b-4a28-984f-e4876ce63482 · inbound

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning cites this paper.

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:48:34.724655Z

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=2026-05-16T15:48:34.705881Z digest=sha256:9e9ee755838b529a2d6a5cab14e72d2f0fe759af3afe174991ddb02bbee20219

Observation 2bd4704f-2b60-49ec-a320-90ef65b1af70 · inbound

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization cites this paper.

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:24.101750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:21:24.101750Z digest=sha256:7473980d6de91c189e0cb443ef5a16db8d433a580949726cb43544feb4651221

Observation 5c4289df-aa49-4bfd-b4c8-0b1c6b55eba3 · inbound

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization cites this paper.

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

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unresolved
no resolver link, observed 2026-08-07T14:51:03.812840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:51:03.812840Z digest=sha256:5b36ae7b4f95fd92a65e0ea8e533eb37a94d7bcfd2b3ddd8148ba9f93cf075c2

Observation fa32781c-72a6-42de-83ed-2a3ed211942f · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:55.354259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:55.354259Z digest=sha256:712ddbdf3647b3ca98ad080a8d4b352262286ea4df2a7182f308653bc37a5ea8

Observation 8330a08a-b1f1-46fa-9411-cf930d517696 · inbound

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering cites this paper.

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:45.090742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:23:45.090742Z digest=sha256:0cf4a7dad175ed7758ed5427f0dff0e97e51baa1159a8a7c9b40522dd6bdee13

Observation b046fa8a-8a51-4e6d-8db0-bd6e083d1a6b · inbound

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering cites this paper.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:50.516414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.516414Z digest=sha256:803667c767fdd5c8cac4e17376ea76f8f59b2baa50dcec0139db18cec0a580d7

Observation 6adcca14-4a4e-42d1-9b30-17e65cf1ac87 · inbound

Vid2Coach: Transforming How-To Videos into Task Assistants cites this paper.

Vid2Coach: Transforming How-To Videos into Task Assistants RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:44.235966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:44.235966Z digest=sha256:2905811e0661e7b4c95f89220680828e987ae8bcc61b55904e15992031f49d06

Observation f14615f3-bf2f-4d9f-a4a3-038dbcb03f25 · inbound

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning cites this paper.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 4

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unresolved
no resolver link, observed 2026-08-07T10:54:30.291283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:30.291283Z digest=sha256:418a696b7fea8a3666c62be2211cdb1bddcbb81ceb7b1ce5df52ac1f888b4952

Observation 97ccd2f8-625b-439f-9128-9b6da219785e · inbound

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation cites this paper.

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:25.279862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:25.279862Z digest=sha256:330acbf164f4915c257317f12d9f144a1a2dd246dbf62eaf50c66a7089a8efc4

Observation 76562b9e-ea7a-48c4-87a4-fb1848ab3a00 · inbound

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation cites this paper.

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 6

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unresolved
no resolver link, observed 2026-08-06T22:31:36.403388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:31:36.403388Z digest=sha256:d196e326d0f60adf3629ecdf9ca97854555e64f73877e051cfe2bad03fac809c

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

Question Decomposition for Retrieval-Augmented Generation cites this paper.

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

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:20.146034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:20.146034Z digest=sha256:a72a1736fa2e7b9db71c34ccd877bc121470f54950c8432c08fd638f378ca1cd

Observation b1325591-250e-4530-b20e-607827cc177b · inbound

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation cites this paper.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 3

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unresolved
no resolver link, observed 2026-08-06T19:24:50.280623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.280623Z digest=sha256:979937ce9f1ab6b88196c7af7a219e5f22de78d3d035c63351726614e1bbe830

Observation 31438a03-cfc8-4c7b-b95d-d1947f5bed7a · inbound

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval cites this paper.

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 8

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unresolved
no resolver link, observed 2026-08-05T15:08:04.207838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:08:04.207838Z digest=sha256:e35ae1b08584ccfc322ab38b762f92ee2057aad1c064393278a357da8936e02b

Observation d1ca22b1-0123-4818-9a96-498baefa963c · inbound

Open Data Synthesis For Deep Research cites this paper.

Open Data Synthesis For Deep Research RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 1976

Resolution
unresolved
no resolver link, observed 2026-08-05T13:45:11.359396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:45:11.359396Z digest=sha256:fa0767a774ce099b3aa3609f2142f6c595f7fb1e5f6f298a8cda6035d8f74499

Observation cbd2aa57-6f18-4acc-b836-73395ee09a68 · inbound

Open Data Synthesis For Deep Research cites this paper.

Open Data Synthesis For Deep Research RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 2024

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unresolved
no resolver link, observed 2026-08-05T13:45:11.399188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:45:11.399188Z digest=sha256:9c4935300e46d270f6873f1606d368e8c493bf0123946778ad9c65c13b202a93

Observation c9290ac0-b58c-42f0-8850-58bd24dab6ab · inbound

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA cites this paper.

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:55:54.040035Z

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=2026-05-18T04:55:03.309430Z digest=sha256:7a96f9d462658d3865b593061f954c1dd560dd99283870a127a9974f07262ca7

Observation 5f2bfd60-69a0-4946-b987-7ff33456544b · inbound

ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning cites this paper.

ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-17T21:05:15.668322Z

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=2026-05-17T21:03:35.425047Z digest=sha256:b62670c8fe39ff7f29269135295d7ce936024124fc4e6ca2f478a9c2c874ae52

Observation 8319c395-e4a7-4d76-bda7-5961a08fc4c8 · inbound

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage cites this paper.

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 9

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arxiv_id, observed 2026-05-15T13:10:49.509960Z

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=2026-05-15T13:10:06.367994Z digest=sha256:94fbd712634a7d68e702b0eac04b8445e16a8812ae98c480be551eff319a3b55

Observation 7c749b8d-d9f4-44cc-883c-86c66fe1d3e5 · inbound

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines cites this paper.

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 25

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arxiv_id, observed 2026-05-11T20:06:10.118807Z

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=2026-05-08T10:18:59.759192Z digest=sha256:2891e6c78284302feb7b50fe0449ead0d8086768feec12e23c690feaecb21b02

Observation b14a929d-b8d4-482c-a19d-12758c86d60e · inbound

Structure Guided Retrieval-Augmented Generation for Factual Queries cites this paper.

Structure Guided Retrieval-Augmented Generation for Factual Queries RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 19

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verified exact
arxiv_id, observed 2026-05-11T13:21:06.307432Z

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=arxiv_source observed=2026-05-10T01:52:06.275673Z digest=sha256:db7e0f1fe264e8b2e047f4e06942fd9891c65d04a792aca6b298056a3d6a6147

Observation a9d9c3c0-3cee-45a5-8902-a619bf41f07b · inbound

TrajRAG: Retrieving Geometric-Semantic Experience for Zero-Shot Object Navigation cites this paper.

TrajRAG: Retrieving Geometric-Semantic Experience for Zero-Shot Object Navigation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 4

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verified exact
arxiv_id, observed 2026-05-11T09:21:02.144899Z

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=2026-05-10T16:03:43.286740Z digest=sha256:7682518b4eb6d64ae4acda7f95922d2b0653344a29f275af923d1828e2abb391

Observation 4008fbb8-d74d-41c6-90fb-bdc23d6cc464 · inbound

Why Retrieval-Augmented Generation Fails: A Graph Perspective cites this paper.

Why Retrieval-Augmented Generation Fails: A Graph Perspective RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

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verified exact
arxiv_id, observed 2026-05-15T04:49:44.301496Z

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=2026-05-15T04:47:44.904830Z digest=sha256:18a5a1ca0bde983a71032216308d6121ee9f5bc759b259e0267c2c8d8097f241

Observation bffd28cf-70f6-47e2-a1cf-49fe198dc990 · inbound

Improving Multi-turn Dialogue Consistency with Self-Recall Thinking cites this paper.

Improving Multi-turn Dialogue Consistency with Self-Recall Thinking RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

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verified exact
arxiv_id, observed 2026-06-30T20:25:02.587890Z

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=2026-06-30T20:22:11.252657Z digest=sha256:1430a06394d1cfb426a11c570b2f6dfc5d6ec9daa873c46f2f2f49de2a4ff500

Observation 3a80e40a-4040-4834-8c35-657adbd3d620 · inbound

BLAgent: Agentic RAG for File-Level Bug Localization cites this paper.

BLAgent: Agentic RAG for File-Level Bug Localization RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 6

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verified exact
arxiv_id, observed 2026-05-20T09:33:10.647247Z

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=2026-05-20T09:31:20.736748Z digest=sha256:dd4e9cc6a5bd878b7e87b5dc5b22f71e1ccced8fed4ad3a9939d0ecb259ca3a2

Observation bd396417-0fa9-440c-994a-e0a1c256e450 · inbound

BLAgent: Agentic RAG for File-Level Bug Localization cites this paper.

BLAgent: Agentic RAG for File-Level Bug Localization RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 6

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verified exact
arxiv_id, observed 2026-07-04T01:09:18.462251Z

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=2026-07-04T01:06:07.000711Z digest=sha256:c554384909385cb6ba68c7903f0c78707267f352ec52916c54c008f7cfa05371

Observation dc4567be-5b8a-44eb-af49-d9d6e86732f6 · inbound

R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge cites this paper.

R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:46:11.129970Z

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=2026-06-28T22:00:58.971014Z digest=sha256:9ad101cf3623993888b8f5166b97c7564ec507291de20da00bf21805fb1de78b

Observation f1c14f83-3f6d-4fb9-85e4-aa48cb92d9a8 · inbound

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking cites this paper.

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 14

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verified exact
arxiv_id, observed 2026-07-01T20:56:13.796105Z

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=arxiv_source observed=2026-06-28T17:38:21.242007Z digest=sha256:8635b7b8751fac73332e57232785566f039fbe8440f85b3e40a8ae6693a22c28

Observation b8b8533b-1e28-4bb8-bb7d-c89a4563038d · inbound

STORM: Stepwise Token Optimization with Reward-Guided Beam Search cites this paper.

STORM: Stepwise Token Optimization with Reward-Guided Beam Search RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 41

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verified exact
arxiv_id, observed 2026-07-03T07:47:45.058664Z

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=arxiv_source observed=2026-06-27T11:46:15.997034Z digest=sha256:a2913fb57c8b7ab1a8aa032bdf42dc1af48f448783fe791b8ca05f4e155686b1

Observation 6307de26-6d7f-47bb-9d66-226c4cf1b286 · inbound

Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.

Agents-K1: Towards Agent-native Knowledge Orchestration RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 21

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verified exact
arxiv_id, observed 2026-07-03T15:18:33.934597Z

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=2026-06-27T06:32:47.387422Z digest=sha256:e8b17201f3183757f6e7db69022689919c68542cc8d776318aa549b4476d1ced

Observation e6081531-4e0c-4053-ae39-fc80254ffcab · inbound

Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.

Agents-K1: Towards Agent-native Knowledge Orchestration RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.422942Z

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=2026-06-30T11:16:50.072447Z digest=sha256:e33862f6d0dcb6253777fb23267ede5915c6970b237294fbd44d2895e9c1527d

Observation 99977f2a-ebbe-47df-9a3e-54bc897788ef · inbound

Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.

Agents-K1: Towards Agent-native Knowledge Orchestration RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T11:40:45.350790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:40:45.350790Z digest=sha256:d87a3ab5bcbc54e3031dc867ded5a3507f54b649d3703906ade332c74ce6123a

Observation 6a00934d-ce71-440f-9e2e-6096ad1886b8 · inbound

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory cites this paper.

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T06:35:35.951554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T06:35:35.951554Z digest=sha256:731eaa6d24d5053ec5a159428e7e792f2385fc0f2ff6db48a49d0132b1e8ec80

Observation 8618afe6-f950-43a2-9ccf-d8c1aa71b585 · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T23:46:22.318926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:46:22.318926Z digest=sha256:53e7874f8a78172f30cba0d2038de9c771f939440bd9ea47e6a68527063d11f9

Observation a16dcfb3-a21f-4cac-9feb-0c2d77967cac · inbound

MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation cites this paper.

MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T17:22:45.522123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:22:45.522123Z digest=sha256:fae3b58d0fb8ced140566ebaee739ac4a7d91e2075e7f951025febc1074e5524