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Paper Citation Record · LEDGER

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges

As of 20 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2608.12129.

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

pith.paper-citation-record.v1
2608.12129 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:53.067811Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

84 of 84 outbound references displayed

  • verified exact2
  • verified fuzzy50
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74304433-815b-4629-bbec-2e05275b8a05 · outbound

This paper cites Self- RAG : Learning to retrieve, generate, and critique through self-reflection.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Self- RAG : Learning to retrieve, generate, and critique through self-reflection

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:51.534429Z digest=sha256:af8e608af83b766a6cd50d68696661ba98a28d35a457b7215720ce7138568e47

Observation a53f1b3e-57d7-40f7-bc1d-795db0a614fa · outbound

This paper cites Knowledge Hypergraphs: Prediction Beyond Binary Relations.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Knowledge Hypergraphs: Prediction Beyond Binary Relations

Reference 3

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source=arxiv_source observed=2026-08-16T00:18:51.573108Z digest=sha256:188e4822fa48a17da779c671814d99baad8d420d5cc10f80e74c096f5d7534ef

Observation 83bccf6e-6cb6-403e-99e5-7c04c212c341 · outbound

This paper cites Hypergraph Neural Networks.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Hypergraph Neural Networks

Reference 4

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source=arxiv_source observed=2026-08-16T00:18:51.582927Z digest=sha256:81738f3854382c07788347cb561559f1c29522526004473bd5260fcc1015e033

Observation 6665aef4-1680-4bc5-bcb3-f11135d94dcb · outbound

This paper cites Message Passing for Hyper-Relational Knowledge Graphs.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Message Passing for Hyper-Relational Knowledge Graphs

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:51.593872Z digest=sha256:70198239aed8b21a9eccaf13c5086283a66dbf8bb13003fb8eed52b96cb0b491

Observation e59387e8-d4e8-4f87-ad30-eba83ddac46b · outbound

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

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T00:18:51.687099Z digest=sha256:893f41df7ad67441edb4368ea98563dd5e555dd6a65ee36e2ca3787ac0216bca

Observation 9b036250-6583-4bb4-9666-9dfc76b0e3c6 · outbound

This paper cites HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:51.776559Z digest=sha256:98e180bfc4cdcbba23deded9d6b535362d03e308a5397052eeb0a84d175cc596

Observation 4d9a2e9a-34fb-4e68-8f49-030b13dfba63 · outbound

This paper cites From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:51.794982Z digest=sha256:cceccc324ffe5519756d583fda0f102504b0a6af6cc0fa840eae71229cf36ff5

Observation 89ca69e7-7323-4363-9d56-999face5d7bb · outbound

This paper cites Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps

Reference 10

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source=arxiv_source observed=2026-08-16T00:18:51.800020Z digest=sha256:d1cfa330cd241fd0ac0e12addbbeab9559a442583d15aaec29a441b610c236cf

Observation 3f6d2248-8b1e-4889-8f14-b2e97b543808 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 12

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source=arxiv_source observed=2026-08-16T00:18:51.810139Z digest=sha256:df0c339ea0b3535a3aced072e54cc174a2f63a0a324a6b7011706889557e2fcf

Observation a2c2403b-6a42-48d9-ab9d-943f02ededb3 · outbound

This paper cites Adaptive- RAG : Learning to adapt retrieval-augmented large language models through question complexity.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Adaptive- RAG : Learning to adapt retrieval-augmented large language models through question complexity

Reference 13

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source=arxiv_source observed=2026-08-16T00:18:51.889130Z digest=sha256:c0c423b76c4ed6aa283dc995e559a37cb5eb5b2b5c655092bb3b26f13a637361

Observation b3b443f6-808d-4da9-bbc0-e278981ae8a3 · outbound

This paper cites StructGPT: A General Framework for Large Language Model to Reason over Structured Data.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 14

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source=arxiv_source observed=2026-08-16T00:18:51.978037Z digest=sha256:3d7bf42c061b02d30a6916704158d83755f6af6a5def7766e3904d1efc164292

Observation 4fa67f4e-99d6-4389-bea9-0a1fedae59f1 · outbound

This paper cites Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig

Reference 15

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source=arxiv_source observed=2026-08-16T00:18:52.022900Z digest=sha256:54b18b130129398e818870ec2aa85800d971dd794f50bfda863ac64125f58b4a

Observation 3e170cca-7190-47e5-b3d0-8b68307a4da7 · outbound

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

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Dense passage retrieval for open-domain question answering

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.590502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.028317Z digest=sha256:f6ec407ced30824d35207121a29159e152effc01624b5dfaf381e78696206828

Observation 4aa7e2fd-4f0e-42a5-a605-bf6a82a1b35d · outbound

This paper cites The NarrativeQA reading comprehension challenge.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges The NarrativeQA reading comprehension challenge

Reference 17

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raw_fallback, observed 2026-08-16T00:18:54.572646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.033523Z digest=sha256:06922509e508ad30af0cf0e679ea5a3629ec7ee342a8519b5a38ceef8b89d348

Observation b97ca873-bfad-46dd-a269-74e95b71ecba · outbound

This paper cites ATOM : AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges ATOM : AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs

Reference 18

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source=arxiv_source observed=2026-08-16T00:18:52.038766Z digest=sha256:5214b5459a17371a9f2341370ef17f0397e4639bfd87d98d14df84107e7ca007

Observation ca8d6605-b0a2-429b-86f5-ab63a56a457e · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 20

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source=arxiv_source observed=2026-08-16T00:18:52.049565Z digest=sha256:dc5b7cfbe5627c633dd475b49d6c170d2744986eb3893d5f384818b3ddee8ef9

Observation 898200e6-619a-4a7e-a114-7f1c37038797 · outbound

This paper cites StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Reference 22

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source=arxiv_source observed=2026-08-16T00:18:52.184542Z digest=sha256:90c281afbd5b746cc92bb618a36bf24e2e61239c83acfbd181c89cd47fdddcbc

Observation 9c789de8-fe57-4442-b438-e937304fd9ee · outbound

This paper cites Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases

Reference 23

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local_arxiv, observed 2026-08-16T00:18:53.401514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.228381Z digest=sha256:99d04ffe34fd45c68f1f2517601f92caeb3e0309afa599bc2b42edda6c0d0a88

Observation 66e1fd22-c220-4687-b4d6-8e261aa29da8 · outbound

This paper cites Role-Aware Modeling for N-ary Relational Knowledge Bases.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Role-Aware Modeling for N-ary Relational Knowledge Bases

Reference 24

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local_arxiv, observed 2026-08-16T00:18:53.377603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.233119Z digest=sha256:464b002af6a58d57628f701110ac11cad8bbba6f4d639b76df90d966c91707c0

Observation 3f9fb7a6-1710-459e-a690-2964c2109a9c · outbound

This paper cites HyperGraphRAG : Retrieval-augmented generation via hypergraph-structured knowledge representation.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges HyperGraphRAG : Retrieval-augmented generation via hypergraph-structured knowledge representation

Reference 25

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source=arxiv_source observed=2026-08-16T00:18:52.239159Z digest=sha256:d7f088e616c8af3318e679c67bf8ab0b2cebdd66674dec7903093eaa4f9ee3cb

Observation dc2cef19-5206-4f7c-ad33-f73b3e41cfdd · outbound

This paper cites Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning

Reference 26

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source=arxiv_source observed=2026-08-16T00:18:52.245037Z digest=sha256:23140c9822ab8c2c743dae32f457a6d82aba3670c8702680f93a5aafb36c414c

Observation b621d879-a0ed-41f6-852e-f21ec41db912 · outbound

This paper cites Multi-hop Question Answering.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Multi-hop Question Answering

Reference 27

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source=arxiv_source observed=2026-08-16T00:18:52.250742Z digest=sha256:4b383aefeca993561fdf682b968d3706c8a9187db6a47d1a91b2b8829964b49f

Observation 915004db-0d5a-47b9-bac6-c25883c91eef · outbound

This paper cites Generative Representational Instruction Tuning.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Generative Representational Instruction Tuning

Reference 28

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source=arxiv_source observed=2026-08-16T00:18:52.256910Z digest=sha256:51031c627e51f17af8abd2cc88e595bbd01f806e6436e2a1c0f2fc4010b03a5f

Observation b9365d95-46d3-44bd-bf05-422a35dd6ff9 · outbound

This paper cites Qwen3 Technical Report.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Qwen3 Technical Report

Reference 29

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source=arxiv_source observed=2026-08-16T00:18:52.288766Z digest=sha256:f231f74fb97a6a0379cd4b400310e61b3e084d1f512b25a77b9b3cc1309f7eb2

Observation 531b63e5-7439-487a-9b77-e10e8eebdb72 · outbound

This paper cites Robertson and Steve Walker.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Robertson and Steve Walker

Reference 31

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raw_fallback, observed 2026-08-16T00:18:54.555369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.351750Z digest=sha256:2d453c3a7f4c4dbea03adb3ad4058482fdb0438f3efff61c81b9ba85a8e13509

Observation bfdcba73-05cc-4ae7-81fb-76f11d6f4728 · outbound

This paper cites Musique: Multihop questions via single-hop question composition.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Musique: Multihop questions via single-hop question composition

Reference 32

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raw_fallback, observed 2026-08-16T00:18:54.537025Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.357306Z digest=sha256:79829caab89b33b51c19b8909b81a17a81cd4b41190d2881a00067577d8b0eef

Observation 18e854de-fe0d-40c5-923a-538dc114f530 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 33

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raw_fallback, observed 2026-08-16T00:18:54.520962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.363340Z digest=sha256:0add2b16754c4cf67896cb2deabe007de71c74728754143ee69cc2db3aaf8213

Observation 4cd1ff4b-c52a-4e1e-82d1-43719bbb2f88 · outbound

This paper cites Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering

Reference 34

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source=arxiv_source observed=2026-08-16T00:18:52.369062Z digest=sha256:7e0c37580eb78b3ca4d9fa1dc372d21a774c99ddff8d0954cd1739ef258b65bd

Observation 8b5107ff-4903-4f0f-bd43-82f6c9344e43 · outbound

This paper cites an unresolved cited work.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.382473Z digest=sha256:0f50f65b116564afca2cfb7e4cae753d71cd71598610c19ec2d27e1450631039

Observation 23bbcbe6-fda2-4d24-b7f5-036c6a573d93 · outbound

This paper cites When to use graphs in RAG : A comprehensive analysis for graph retrieval-augmented generation.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges When to use graphs in RAG : A comprehensive analysis for graph retrieval-augmented generation

Reference 36

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source=arxiv_source observed=2026-08-16T00:18:52.409165Z digest=sha256:3cbb7c98c405dcbcb047c45a4cef20c62b977b060ad218eb4e84ebb4a1ab0cda

Observation 2d70902d-ffdc-4a4b-87e7-b7886d2f7182 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.488841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.419087Z digest=sha256:69199b7b37a0546ae2ce9135ec3cd87e522ca3a360035a8179ae6f7262aeed85

Observation af92d00a-c6b8-4095-8b2b-cd066d7b0a55 · outbound

This paper cites SiReRAG : Indexing similar and related information for multihop reasoning.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges SiReRAG : Indexing similar and related information for multihop reasoning

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.473157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.423719Z digest=sha256:50c461c39663a4123a45c68d332693575a6964438c38d3bb41bf48526660d65c

Observation e2d9545f-792b-437c-a982-a8556c60ef37 · outbound

This paper cites Learning with hypergraphs: Clustering, classification, and embedding.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Learning with hypergraphs: Clustering, classification, and embedding

Reference 40

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raw_fallback, observed 2026-08-16T00:18:54.456978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.428317Z digest=sha256:d9882058c4c7300d50f9c3c470eacbeaa5f107490741579dbd3a0f387b247122

Observation 8cf6eb87-0631-4fba-80a6-69742494e938 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Retrieval-Augmented Generation for Knowledge-Intensive

Reference 41

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raw_fallback, observed 2026-08-16T00:18:54.440900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.433870Z digest=sha256:12eb2ec373d702d3baf4490987a8fd152cfe74d7475ba7eb596f2af3851be1f1

Observation ee979fbc-4941-40b5-9cd9-6c1d5441a5c6 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges International Conference on Learning Representations (ICLR) , year =

Reference 42

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raw_fallback, observed 2026-08-16T00:18:54.424028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.439449Z digest=sha256:30bfd4b4b30281e6be2eaaea2ace3b93f808560293adf7097a2393e4c9b8cdb8

Observation 3d0e5ff6-06c8-4d76-bbf6-ae21cc93a69c · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) , year =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.406464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.445349Z digest=sha256:eb7cd61baf03d4db6cdf264b457cc966846b11dcecdc13bc28ef20673fed6382

Observation 61c920d0-d238-4a4d-8b07-fb9ae6d3648d · outbound

This paper cites Xu and Luyu Gao and Zhiqing Sun and Qian Liu and Jane Dwivedi-Yu and Yiming Yang and Jamie Callan and Graham Neubig , title =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Xu and Luyu Gao and Zhiqing Sun and Qian Liu and Jane Dwivedi-Yu and Yiming Yang and Jamie Callan and Graham Neubig , title =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.388147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.450494Z digest=sha256:9135fb6f4ad5ce53429b3442cb18ca4f83c97c090f647d257720d67aeffd13d5

Observation bbd525ef-fd8d-4aad-9772-10d242ff915c · outbound

This paper cites Manning , title =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Manning , title =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.370620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.455576Z digest=sha256:4fdfa2511dc1c9fd0184c68a8951bed21eaa267d45cec2ea13f57bb22f718779

Observation a281a3ad-4be3-4883-a47f-6b68b71aa57a · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.353012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.479625Z digest=sha256:bbf7f3e37eb1286c34862d4db10f393bc0d1aa414c9111511b9b372871c5a89f

Observation 1877ee7b-44c7-4d59-b954-26fe6f59108a · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.335407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.633034Z digest=sha256:1a8a1d6199b7bd8bbe50ac5284b87ed0d378f9b59a1c778b6dd3069bf1166b74

Observation 1dfdf599-5b02-4c2b-8f8c-4a7725b25465 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Findings of the Association for Computational Linguistics: EMNLP 2025 , year =

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.319243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.677277Z digest=sha256:2d58357ed77086ec3e9d8da108528ceab3496b37bef205910f469c1d32b61dba

Observation 06619fcf-20c0-4356-a451-aa2042712755 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges International Conference on Learning Representations (ICLR) , year =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.302425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.682336Z digest=sha256:a409a655bb22f9b38aa3ca0dc027292545b180cb85a361aec51d2b8670799ae6

Observation a28af7db-bb21-4312-ac22-f3766a88f1a4 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges International Conference on Learning Representations (ICLR) , year =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.286445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.688112Z digest=sha256:f3e9485211fbc71a9cc38c9b66560d89b75bfdfe44b05c81e8fa86c25611a0b5

Observation 8d0bf632-ba43-4afb-9557-f4e2ff704d09 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges International Conference on Learning Representations (ICLR) , year =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.267878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.693956Z digest=sha256:6b9956d49752340628f7e6921aeea19fb8e7bfc2dca0673895e549a7fd618299

Observation 0b2e3b37-9c07-478a-9b5d-5157959bd635 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:52.700450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:52.700450Z digest=sha256:e5be8b553c55b495c6a8241c4c15a696e22485d4bdf8279ce6895d03ab14b8b2

Observation 59184a59-6311-46d8-a699-ee94284de5d5 · outbound

This paper cites an unresolved cited work.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:18:54.250085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.705876Z digest=sha256:d0becbf2b329ece7a910f3538ae392254a4984e59413de3aacce64c30d5cd000

Observation 3d0f8f21-3c92-4b49-9788-fe0eec186f71 · outbound

This paper cites Rossi and Alexa Siu and Ruiyi Zhang and Tyler Derr , title =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Rossi and Alexa Siu and Ruiyi Zhang and Tyler Derr , title =

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.233632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.710981Z digest=sha256:ea8235139ecbdfce1f52477e3964b3d7448850fd561075cc76126174d21b08d3

Observation 3f6bd060-a212-4581-b453-ca08f4d0d9c1 · outbound

This paper cites and Ren, R.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges and Ren, R

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.217291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.716724Z digest=sha256:d3013d2dda722a60e852915fa644f6eb27ff133723c646974195fceabc1e410c

Observation 7bbb4664-27a7-41f9-b9b7-31060f57b8c6 · outbound

This paper cites Chawla and Thomas Laurent and Yann LeCun and Xavier Bresson and Bryan Hooi , title =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Chawla and Thomas Laurent and Yann LeCun and Xavier Bresson and Bryan Hooi , title =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.201386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.751820Z digest=sha256:ecd6e471e3278f8711d59ad9cecc85b8c63e404206e86531f7b1f4eba574f959

Observation 08a0b1f5-6959-42dc-9679-4f01913e81c8 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.184807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.798753Z digest=sha256:5a3c281cd0cd8d20b5b44743382c1870d67e3897b91b0291a0bef0a2af32c82c

Observation 18ebef30-a34c-4ca6-97dd-19958e607a9a · outbound

This paper cites Ni and Heung-Yeung Shum and Jian Guo , title =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Ni and Heung-Yeung Shum and Jian Guo , title =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.168548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.879786Z digest=sha256:64f1af9378617177622ae1fe4c459c8e5a3125514a651dc29e0f4a1533808fc4

Observation 90825320-af2d-48df-8ff5-23dbc4dc5b39 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Findings of the Association for Computational Linguistics: ACL 2025 , year =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.152863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.886157Z digest=sha256:05270e79290ac1c6b91cd73659cbe4c4927f3ff1b659633dc31814e3bf8db8aa

Observation c28dad90-e1bd-4638-928b-1af20bc93426 · outbound

This paper cites Ioannidis and Zhen Han and Qi Zhu and Ian Robinson and Bryan Thompson and Huzefa Rangwala and George Karypis , title =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Ioannidis and Zhen Han and Qi Zhu and Ian Robinson and Bryan Thompson and Huzefa Rangwala and George Karypis , title =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.136804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.892716Z digest=sha256:7f403685a74d82fa3d7bfa7f3ae2956acb3ce6adbc6ed6af62876ce19d4be77e

Observation b58a9642-93b9-4e4b-a5be-120a81cd61f6 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.120672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.898377Z digest=sha256:6e69499810c1d6d173cb5ac2719cb545c1bafb967044ddb87b40f125c0e24c51

Observation 37097f4b-ad74-4e4b-9696-99b3c711a77c · outbound

This paper cites ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:52.903835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:52.903835Z digest=sha256:49187ff829a74821686e70826cf282260279a6dc2997540a89f1e5224c0cc771

Observation 68ecb743-7af3-434d-8996-085500f7b7f0 · outbound

This paper cites Cohen and Ruslan Salakhutdinov and Christopher D.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Cohen and Ruslan Salakhutdinov and Christopher D

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.105149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.909146Z digest=sha256:b49f6dc722f8966c234cd484978062b3b980c4756df6850290eb680b3531de1d

Observation b4b0fd78-0fc6-4084-a37e-02493240b497 · outbound

This paper cites Proceedings of the 28th International Conference on Computational Linguistics (COLING) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 28th International Conference on Computational Linguistics (COLING) , year =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.088503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.914634Z digest=sha256:3d22fd0448510be0e65a3eaa8efaa867298417b31ff848f930ec90481af02d1f

Observation b730d3d3-34e6-4245-a0fc-ad5139ce128c · outbound

This paper cites Transactions of the Association for Computational Linguistics (TACL) , volume =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Transactions of the Association for Computational Linguistics (TACL) , volume =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.072639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.921942Z digest=sha256:904401baf51c54274df4e03e444f51420a6898f0fac22edcc0c46cbae0e2c5eb

Observation 29978686-2758-4bbf-b99e-a0e3232ebe6e · outbound

This paper cites an unresolved cited work.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:18:54.055898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.927596Z digest=sha256:7421e82bdebc6182c722b7935432a26695eae91f382fc10b8df3912166f0e078

Observation 348605ce-dea4-4383-9921-422a7e219c24 · outbound

This paper cites Foundations and Trends in Information Retrieval , volume =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Foundations and Trends in Information Retrieval , volume =

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.040307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.932991Z digest=sha256:52edb4b1dcebbe58eadd012b9a3d861d627e014bab412be1f9cd5b5b04bf4108

Observation 2f4c322c-9cd4-4aed-92d9-e7031221c4ed · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering , booktitle =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Dense Passage Retrieval for Open-Domain Question Answering , booktitle =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.024734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.937507Z digest=sha256:d81dde6b09ac9c1b188585f1c5beafb229b6edacf184064e3a5988b3036b8272

Observation 0dab9911-a161-47fe-8fd5-a32f6fa7db46 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges C-Pack: Packed Resources For General Chinese Embeddings

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:52.942804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:52.942804Z digest=sha256:2daae793f6388cb15f8aeba57e41402ed068b2e7f34c8946e0e9478d43c71101

Observation 2d1dd78b-62dc-40c3-8692-c982958725d1 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:52.948077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:52.948077Z digest=sha256:7fb8f2087fdcd0feca23a3a6be6e33793efac7e4b1b2cc4586cb94295b246d0f

Observation 938ab123-bbec-4a51-8320-c3b2dd326b5b · outbound

This paper cites Learning with Hypergraphs: Clustering, Classification, and Embedding , booktitle =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Learning with Hypergraphs: Clustering, Classification, and Embedding , booktitle =

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:54.008096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.953372Z digest=sha256:347843c638d5448f93fc5c3a98d4c7f1a5bdb875a73e53ab35f32a3047a439a1

Observation 4e931c44-cde2-4bd8-aa1c-923a113bb134 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the AAAI Conference on Artificial Intelligence , year =

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.992211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.959538Z digest=sha256:5c7bd5f1e2313b894cf6350b4c70a4e3566c5ff421aad5b2c6bf7456f070f0c0

Observation 41ac1069-2833-4ef5-b2b0-787931e474b3 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.977030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.965311Z digest=sha256:eb8d92b19502654ab85163198873bda1a148b8d9fbb42bebc6c9a6aed7f4a893

Observation adf7a0e3-219d-4205-9448-1d4a7c936e43 · outbound

This paper cites Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) , year =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.960616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.971478Z digest=sha256:625e90a3855f6060fb14af466cf963d36212193122510fc463a76ccd1896efd1

Observation a8217f10-c14a-401d-a296-dd2618fb68d6 · outbound

This paper cites Proceedings of The Web Conference (WWW) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of The Web Conference (WWW) , year =

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.945362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.980789Z digest=sha256:4b40e838befe28dd0b5de43087f41a777c332f242479e55ec38cb1db1c54690e

Observation 96d0dfd1-8863-48d5-82f7-43e5340d0fc5 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.927931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.985958Z digest=sha256:ba79216279e1557b68585f2086eb3a8af0ac28e624b6c8af33e83fb6045ef5c6

Observation 5c444cd4-8ae7-46fb-bf9f-52e05abfdc83 · outbound

This paper cites 2025 , url =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges 2025 , url =

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.912115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.990864Z digest=sha256:6228211acbe8eb8bf570e893c8902c942b2b930493699a402e190c635d088de4

Observation 6129ee05-ad22-4b22-b7f7-31e2fde9ee76 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.896179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:52.996411Z digest=sha256:f09fde95b00dd9416e94c5aee1328c61d1525c1ebe747c23565b971583a1c141

Observation fcfdbc5e-02c4-433e-89e4-9e64cd6c6e56 · outbound

This paper cites Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) , pages =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) , pages =

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.880163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.002255Z digest=sha256:03200f3af682c22e75c0bf3c84fda921194aacda38e33b8173d4462527ec1641

Observation 831af3fe-3a9c-4cda-9c40-ed8a6e743db0 · outbound

This paper cites International Conference on Machine Learning (ICML) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges International Conference on Machine Learning (ICML) , year =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.863767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.007819Z digest=sha256:e5dbdacf7d410ac351a064ee859ae487b14b795e215a3094799e26970c3e89c1

Observation 5434a76e-d20a-4de0-a31d-86076a80830a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Proceedings of the AAAI Conference on Artificial Intelligence , year =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.847583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.013998Z digest=sha256:4e7cbd612dd82407273a0585a74b965d16c5134accaec86c9efbc9fb3ee2e656

Observation 99478429-b647-4533-be37-2969a9d01528 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.831286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.020091Z digest=sha256:b361ddcc8c81fdb64c1a65cf1e8697f865549abfb48e8aabb106985b61fd7f93

Observation 2edabcd9-dc86-40c3-b159-4618465d91a1 · outbound

This paper cites Nature Communications , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Nature Communications , year =

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:53.024681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:53.024681Z digest=sha256:83f7f6c4ef90539e22057c6ae88a5065f2433b92420674e42aaca1840f09a6a1

Observation b29d1025-9039-414d-8874-666c5ddd092f · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:53.030014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:53.030014Z digest=sha256:33428eceda51804fbdbdfb318b115173c87d6d6f08c3273538215ca6d1f15621

Observation 88328a79-681c-440a-a329-fd7a5ad6c581 · outbound

This paper cites Findings of the Association for Computational Linguistics: EACL 2026 , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Findings of the Association for Computational Linguistics: EACL 2026 , year =

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.813918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.034432Z digest=sha256:bbb331d0b78f11b6b8f9cefdbe922378fa39704859b44b89c05f6a212781bdf4

Observation 4ac47dad-4f9b-4291-924f-959cebe7c625 · outbound

This paper cites When to use graphs in.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges When to use graphs in

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.796081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.039503Z digest=sha256:7af0b532a3691a484fa8fa6d259faeeb92b639c3ef7e9246237fb2b67fb8b5fe

Observation 85023df5-c922-4f82-a49f-dca2d8f01724 · outbound

This paper cites Transactions on Machine Learning Research (TMLR) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Transactions on Machine Learning Research (TMLR) , year =

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.779076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.044750Z digest=sha256:9c21b047ded6dc3fc2ea73a5979ec361b3ecb6f0f70a445285f4e3c0c0a450dc

Observation b0411c90-11a6-4495-9be0-2a40fb93d4f6 · outbound

This paper cites Robertson and Steve Walker , title =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Robertson and Steve Walker , title =

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.761965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.050272Z digest=sha256:f63175adfd318c11503668fb41691d168732c415eb64c5696b1b7dcf94a289c9

Observation c66386bb-c29f-443a-b55d-2e2240616553 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:53.056094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:53.056094Z digest=sha256:91395a58d1bbc75a51bf588bcb6538a54207ae15bb3757992365ce051edfd283

Observation c20c464a-1a57-4043-8e9d-ba07b6e5ae78 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges International Conference on Learning Representations (ICLR) , year =

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.743870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.062064Z digest=sha256:88b4e6a388f3d284dea93363fe531f1a71dafab36fcb09db88b784c48436aa33

Observation 9231052e-d054-4ee9-a540-cf8cfdef3934 · outbound

This paper cites , journal =.

SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges , journal =

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:18:53.727124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:18:53.067811Z digest=sha256:2e8b49570f89f06dfdc4c87d620dfd0f31d65356a09b821f20d51e3244c449c0

Pith citing papers

No inbound Pith citation observations are available.