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Paper Citation Record · LEDGER

Graph Query Generation with Constraint-guided Large Language Agents

As of 4 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2605.00845.

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

pith.paper-citation-record.v1
2605.00845 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:56:14.294304Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

51 of 51 outbound references displayed

  • verified exact4
  • verified fuzzy36
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f7c8db5-b2a1-4905-a409-62f2fdc3eb5f · outbound

This paper cites The onegraph vision: Challenges of breaking the graph model lock-in.

Graph Query Generation with Constraint-guided Large Language Agents The onegraph vision: Challenges of breaking the graph model lock-in

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.156659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:85fbac132fea901ff37915bb4800ee86d06612e740ead6e084fc7533e84493d6

Observation a319aa5e-28a8-4299-85c1-9cecdae17e5d · outbound

This paper cites Multilayer graphs: a unified data model for graph databases.

Graph Query Generation with Constraint-guided Large Language Agents Multilayer graphs: a unified data model for graph databases

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.164344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:b2c1d2fc7f0c01be31f0911d3712f810507a3e73068ea5890a40961881517ad6

Observation cf3994bb-ec18-452e-a652-bf555cbeb59b · outbound

This paper cites Bridging graph data models: RDF, RDF-star, and property graphs as directed acyclic graphs.

Graph Query Generation with Constraint-guided Large Language Agents Bridging graph data models: RDF, RDF-star, and property graphs as directed acyclic graphs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.905608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation fed2ea17-fe1d-4b84-a6da-e8684fddf658 · outbound

This paper cites opencypher over rdf: Connecting two worlds.

Graph Query Generation with Constraint-guided Large Language Agents opencypher over rdf: Connecting two worlds

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.173484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:c3aa489abf48ee7b4d2dd34b4a6430a246395c1748ae271eb28386fd75c11703

Observation eb05d042-64a3-4453-8759-1075bb238bac · outbound

This paper cites Beyond iid: three levels of generalization for question answering on knowledge bases.

Graph Query Generation with Constraint-guided Large Language Agents Beyond iid: three levels of generalization for question answering on knowledge bases

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.135388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:62b2db653d8c0bc96b8ceb3ff6f1ce86d28e15fac6224228b528fc619c38f153

Observation acfd3535-cf62-41d0-8fc6-94e44b139d4a · outbound

This paper cites The value of semantic parse labeling for knowledge base question answering.

Graph Query Generation with Constraint-guided Large Language Agents The value of semantic parse labeling for knowledge base question answering

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.111434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:85a8d042c599113042f4589fca05003e15c5e24478c840518ce914dffe69c69e

Observation c71dd555-077e-4958-b13f-1a7f9b138e80 · outbound

This paper cites Graph databases: Neo4j analysis.

Graph Query Generation with Constraint-guided Large Language Agents Graph databases: Neo4j analysis

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.119434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:fbd9dde9c7f1323d1683a4b3265cec122aa7cfe1be9ecc6cd550c640dcb14957

Observation bf18e40f-79ed-43b8-b8c3-23eb61879a05 · outbound

This paper cites Compositional semantic parsing with large language models.

Graph Query Generation with Constraint-guided Large Language Agents Compositional semantic parsing with large language models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.132571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:7c5d1f122201597f358b5ed6788b19e268156137d913b80c8efbba80f05f76fd

Observation c580a333-fdce-4bc5-af32-31611926eb3f · outbound

This paper cites FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering.

Graph Query Generation with Constraint-guided Large Language Agents FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.884213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:584e35f56aae94edd75fb97397caaf3b21b51febdc6f8e1d1df93e7eabe1475c

Observation 170cc808-a2db-4b89-b38e-5218616f545e · outbound

This paper cites RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.

Graph Query Generation with Constraint-guided Large Language Agents RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:50:59.899629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:9a9ab76a96cd2e679b7456fa57252a3b25e921a38a4b2beef24d0ac2f3ce0424

Observation 34e2c2f8-df72-4c55-a519-efbc273b4e42 · outbound

This paper cites Bring your own kg: Self-supervised program synthesis for zero-shot kgqa.

Graph Query Generation with Constraint-guided Large Language Agents Bring your own kg: Self-supervised program synthesis for zero-shot kgqa

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.138493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:94b6746a3659104da4733a32ea0a6f411063dde704504243961e8eff4fba296f

Observation 2c393ff1-072f-4676-8956-8958dde1d5cf · outbound

This paper cites Don’t generate, discriminate: A proposal for grounding language models to real-world environ- ments.

Graph Query Generation with Constraint-guided Large Language Agents Don’t generate, discriminate: A proposal for grounding language models to real-world environ- ments

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.117108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:45f5cc41bd7b956376c32071e81670175585749d74ae748c60c0146e206b4c9f

Observation 0d739db1-d0c0-40bf-a7ad-0ebfff89cc24 · outbound

This paper cites TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases.

Graph Query Generation with Constraint-guided Large Language Agents TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.889881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:1f5eb7f60fa06417546b0a2bf94306077e773295021338d08c5d3cebcded3417

Observation 60c4ed4e-f87d-4b85-a607-4a66236b8f42 · outbound

This paper cites Comprehensive analysis of freebase and dataset creation for robust evaluation of knowledge graph link prediction models.

Graph Query Generation with Constraint-guided Large Language Agents Comprehensive analysis of freebase and dataset creation for robust evaluation of knowledge graph link prediction models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.122256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:f17006ad0bb719e7e28e497b9e732f2b965030877082f1e1199d7120fe37a781

Observation aaf7076a-9123-4b60-9cfc-9da792775512 · outbound

This paper cites Sgpt: a generative approach for sparql query generation from natural language questions.

Graph Query Generation with Constraint-guided Large Language Agents Sgpt: a generative approach for sparql query generation from natural language questions

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.130031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:7e3a5b1b21c414a2658be95c08c062471c2d8c5cbcc2207720346f47433c5c92

Observation cd8ced00-b212-478e-b13d-a364717d7f3d · outbound

This paper cites Code-style in- context learning for knowledge-based question answering.

Graph Query Generation with Constraint-guided Large Language Agents Code-style in- context learning for knowledge-based question answering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.143802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:ab848ef8f0389d97acbe4f747ac20d58ecdb14123a195e8faa554c3d9282b712

Observation 4c7ff0b2-c49b-420b-b5e9-8617eb5e7845 · outbound

This paper cites A comprehensive evaluation of neural sparql query generation from natural language questions.

Graph Query Generation with Constraint-guided Large Language Agents A comprehensive evaluation of neural sparql query generation from natural language questions

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.114070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:dbd1e64173bb1cac330b4b72fa62ac7ae06071d81e52870e817bcaad67ad2c12

Observation c545f943-ebf5-4c25-aa95-c79fcd72ca06 · outbound

This paper cites Graphq ir: Unifying the semantic parsing of graph query languages with one intermediate representation.

Graph Query Generation with Constraint-guided Large Language Agents Graphq ir: Unifying the semantic parsing of graph query languages with one intermediate representation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.102845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:1a4b98b32cb66a9bbc827403970c6d543a6f486dcf89c5f85fe281d6672cc079

Observation 363fa7b1-b5a7-49f0-bef4-9e61ec4a90d8 · outbound

This paper cites Query reformulation with constraints.

Graph Query Generation with Constraint-guided Large Language Agents Query reformulation with constraints

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.169016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:ab558ff29f7a89f507f381a1b29eeb145e27324e6fe0be6e6a1d272700c48bed

Observation 589543c8-3bd8-46ff-8bf7-287755ad4f5c · outbound

This paper cites Knowledge graph- augmented language models for complex question answering.

Graph Query Generation with Constraint-guided Large Language Agents Knowledge graph- augmented language models for complex question answering

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.105752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:56cd8f7b70d92415bd17802b48766c1964c7806bda7c67d90b5d29492933e260

Observation 94081b86-a75b-4810-8f2a-7122c00ee80b · outbound

This paper cites Graphlingo: Domain knowledge exploration by synchronizing knowledge graphs and large language models.

Graph Query Generation with Constraint-guided Large Language Agents Graphlingo: Domain knowledge exploration by synchronizing knowledge graphs and large language models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.124919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:32716783132d0158ba55d0f6f3db141c8a99619ccc072c3ce27beeada9419fc3

Observation aa09bb4f-4bb8-4462-916d-8bf9aecb96e7 · outbound

This paper cites Graph chain-of-thought: Augmenting large language models by reasoning on graphs.

Graph Query Generation with Constraint-guided Large Language Agents Graph chain-of-thought: Augmenting large language models by reasoning on graphs

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.094883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:c81850d4fb2c0594a56271cfa78b6379dde7a391761f0756cceb5dff36957469

Observation 4f10befd-bbc6-4d91-8c14-dc09988e86ee · outbound

This paper cites CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era.

Graph Query Generation with Constraint-guided Large Language Agents CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.875958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:a35d7b4755db29dd1163077f1d688cfea75eb096c157c09a7c870e96a1d39a71

Observation 6c797379-54d0-4a25-b29c-3f8bdb9a1492 · outbound

This paper cites Towards holistic entity linking: Survey and directions.

Graph Query Generation with Constraint-guided Large Language Agents Towards holistic entity linking: Survey and directions

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.127389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:9217a8ab44623df68af599a7a340f4aff070cfd355c3b5b1553c9c2ee5f4bd8e

Observation 23bd5fdb-123c-411f-936a-9ce14ebf788e · outbound

This paper cites A review on fact extraction and verification.

Graph Query Generation with Constraint-guided Large Language Agents A review on fact extraction and verification

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.108489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:5798c2c9b5543ad0e5f339ef4b29e2ae7f2635cc13246fcecab1d976da2afa4d

Observation c59969ba-457f-4738-ad3f-6f4422ffeaee · outbound

This paper cites Graph query generation with constraint- guided large language agents.

Graph Query Generation with Constraint-guided Large Language Agents Graph query generation with constraint- guided large language agents

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.089935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:4ad5c1a13339b6cd7dd7fa4b6c7c53dfa8f5a4f7f76f3a3d6ff2150b23705229

Observation 0f9b3f8f-2c9b-462d-a3b3-3e8edfcac297 · outbound

This paper cites Question answering over knowledge graphs: question understanding via template decomposition.

Graph Query Generation with Constraint-guided Large Language Agents Question answering over knowledge graphs: question understanding via template decomposition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.097501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:a7f9b5cb6964b1d67087cfc64c0286d685766eb5dac8a36b5643b6402cc040bc

Observation 2949bc18-8439-4b66-acfe-4495dd4e69dd · outbound

This paper cites On generating characteristic-rich question sets for QA evaluation.

Graph Query Generation with Constraint-guided Large Language Agents On generating characteristic-rich question sets for QA evaluation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.141270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:81ca56c5e7eb5b2c651ef0ad17b299c4c3b264a7a5688ed1fa9ede62f2377c02

Observation 772ae8e1-f952-4af6-aeaa-a910bc4fce5b · outbound

This paper cites Arcaneqa: Dynamic program induction and contextualized encoding for knowledge base question answer- ing.

Graph Query Generation with Constraint-guided Large Language Agents Arcaneqa: Dynamic program induction and contextualized encoding for knowledge base question answer- ing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.087118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:83a020175a355d5ac86045c82a8c26d27cef473aabfb4a18e74c91e5fccd05b2

Observation d7e3c8e7-928b-4751-a6de-e92ebb4b2e01 · outbound

This paper cites Pangu github issue: Compute resources.

Graph Query Generation with Constraint-guided Large Language Agents Pangu github issue: Compute resources

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.079144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:42b2c6e914239db82f6ed6ec0867f05d127e3f466e4cb7f42721cb741df65779

Observation f2053aef-fc49-473a-b92f-90a3e04f8284 · outbound

This paper cites Case-based reasoning for natural language queries over knowledge bases.

Graph Query Generation with Constraint-guided Large Language Agents Case-based reasoning for natural language queries over knowledge bases

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.081578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:596f3a9f6143ac7d8c8c4e579371ec6ab5f4f5d0cad7130989beafa02167206f

Observation 844efcb8-362f-495d-b27c-ed76ba1fc4d7 · outbound

This paper cites Query graph generation for answering multi-hop complex questions from knowledge bases.

Graph Query Generation with Constraint-guided Large Language Agents Query graph generation for answering multi-hop complex questions from knowledge bases

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.084311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:a9fcd1f4f52540a1cdec2d81ca3045d9bf4561dfeca04deccb0651c5c5e61f8e

Observation 6bd05ba5-1a63-46d7-85c6-a6d95b474f76 · outbound

This paper cites Rng- kbqa: Generation augmented iterative ranking for knowledge base question answering.

Graph Query Generation with Constraint-guided Large Language Agents Rng- kbqa: Generation augmented iterative ranking for knowledge base question answering

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.099969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:3bc2ec31a22fb518eccf8c529c52cf841f24679a9b4e8e463c7a357d9b977c3d

Observation 2b8e52ba-91f7-4393-b7b1-abc4e3f3d686 · outbound

This paper cites Improv- ing multi-hop knowledge base question answering by learning intermediate supervision signals.

Graph Query Generation with Constraint-guided Large Language Agents Improv- ing multi-hop knowledge base question answering by learning intermediate supervision signals

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.067061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:9f7c57efe34e95dc533be51c9bd77f9568a764b707b5eb7f60b4b8f09fdaab53

Observation 255c76af-d32a-48b6-a918-506ea3aa548a · outbound

This paper cites Unikgqa: Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph.

Graph Query Generation with Constraint-guided Large Language Agents Unikgqa: Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.072894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:502b858284210ae4a5f88054e3ce4a18f88675083853179c6508d2bfc6067101

Observation 06fd92cf-8827-47f2-b378-a1b9db22d4fd · outbound

This paper cites Structgpt: A general framework for large language model to reason over structured data.

Graph Query Generation with Constraint-guided Large Language Agents Structgpt: A general framework for large language model to reason over structured data

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.159291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:0f9b46f57fff69da3c0df82a0af9cd1db326d7a5480e2803a87989c38526858b

Observation b9bd371a-7bf6-4600-9bce-73e4ccf2e272 · outbound

This paper cites Reasoning on graphs: Faithful and interpretable large language model reasoning.

Graph Query Generation with Constraint-guided Large Language Agents Reasoning on graphs: Faithful and interpretable large language model reasoning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.063976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:e69ee4e66b13f8b6bf5007d3d4fed7918ee927c0621a463dd46121ae7d8eb0d7

Observation 39be6cb1-d4f9-4b1d-a5da-6d92f65634a1 · outbound

This paper cites G-retriever: Retrieval-augmented generation for textual graph understanding and question an- swering.

Graph Query Generation with Constraint-guided Large Language Agents G-retriever: Retrieval-augmented generation for textual graph understanding and question an- swering

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.069844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:90c0832c351560aabfd3ad1fdee89d6373ddc9e137d4d572cb60bebfc73021b5

Observation 63493620-406f-46d2-9db9-bafe0e80aa46 · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.057199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:ee903170d4010b8f92366c18221875d7c0dd75cb41f1811bc56b69f1052671ff

Observation b2b51c07-b6e5-4542-ae1e-bb88a1688781 · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.146675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:24d3c30d8a28af52b05416a5c36365aa44ee36dee418ccd399fde448e87f571a

Observation 08ba4d1c-b8e3-4c47-a618-0122ab40e4a6 · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.161789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:64c9789382f91b137ac91b5a9533d9cc971e00847e6f3d8b243982bb9bb511aa

Observation ab7cbbfc-85e6-4231-9ee7-be195b929eaf · outbound

This paper cites For properties/at- tributes, use the format m.

Graph Query Generation with Constraint-guided Large Language Agents For properties/at- tributes, use the format m

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.166561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:f8a5a2c0583b55656c5c71e94a5b75d0b1ceeefb7c002602a863cfdd04caa99e

Observation 9e81ce56-86fe-40f1-810c-c11cc040d450 · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.054731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:5943ce615b9a5f2f1f4c1b320a2c0d17b4e256f80e3b45cce7f4bea0624831ac

Observation 3ea8a950-ca4d-4ecc-8481-c28b9183145a · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.061659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:b052ca3a548bbd24efa779fdcd6eabe1ddef10b1654d9b5b6e090f688d233551

Observation 86eb8890-70c8-47b2-b5a4-2208a6659897 · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.059401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:ca8a673e8676fefcaceadde37826a3410c852a36d51224bc8616b904761fdc0d

Observation 27feb486-1a60-4fed-9abe-dc708500a7c6 · outbound

This paper cites Input: {NL Query}, {Extracted Entities}, {Constraints} Output: {Cypher query} C.

Graph Query Generation with Constraint-guided Large Language Agents Input: {NL Query}, {Extracted Entities}, {Constraints} Output: {Cypher query} C

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.075743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:0768efd3e707778a844e2657bb0cba18e931e55fe399f6b4e8fb8c83420ccf84

Observation a5bfa4ed-e7a7-4282-bbbc-05554c82a43a · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.092356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:4841920cfaf2aa64eacca548f1a123e8f75ab541901aee06e134e89c54b76a05

Observation ca570c34-325b-4c2e-bdee-12e3085dc754 · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.171160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:d7bbfda172c6c61c846a2c2f8bcb7f7a31b539619188fbbe2eaa1ede5683f160

Observation 0cd0e243-06d6-4ebc-b6ae-a0547a07b346 · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.151662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:7e8a43f7303fa2abf374e2dbefb73de0c4149fa8609dbd9b3dde9ab4be95a44d

Observation 8749a96a-9d5c-4c48-bd79-3cb2bcab5d3c · outbound

This paper cites an unresolved cited work.

Graph Query Generation with Constraint-guided Large Language Agents Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-17T12:51:48.154127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:3c337a51b32b3c0ef0d3dc59be2b8cb5026a0c68a7ec039fc1400fc30a1b1e2e

Observation a9478967-35ac-4385-9ae0-328842ec6a75 · outbound

This paper cites {NL query}.

Graph Query Generation with Constraint-guided Large Language Agents {NL query}

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T12:51:48.149277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:56:14.294304Z digest=sha256:af08940c98a4e676ad8887c79e53c9ab432ab29de12ccdaee56d7ff71ce29351

Pith citing papers

No inbound Pith citation observations are available.