Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:59:58.270437Z
Paper Citation Record · LEDGER
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2412.12612.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T04:46:56.654470Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:36:45.352690Z
Reference resolution
37 of 37 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 082145f8-8d0a-438b-96f1-fdf46bbc8f6e · outbound
This paper cites Select Nodes and Relationships: Based on the query type, choose nodes and relationships to form the questions.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Select Nodes and Relationships: Based on the query type, choose nodes and relationships to form the questions
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.913396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 153be6b0-f282-41e0-ade9-67d98362e448 · outbound
This paper cites Structure-Grounded Pretraining for Text-to-SQL.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Structure-Grounded Pretraining for Text-to-SQL
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:59:58.027688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 661918ca-406e-4cce-84a6-2b41f2dcd00b · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.877844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1bdb5974-99e9-4685-92aa-90d700ea37e8 · outbound
This paper cites Random Selection: Randomly select nodes or relationships when forming each question, ensuring diversity in the coverage.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Random Selection: Randomly select nodes or relationships when forming each question, ensuring diversity in the coverage
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.862887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f6444f36-1829-425e-8137-e9ab67bac9fc · outbound
This paper cites Ensure no two questions are similar.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Ensure no two questions are similar
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.894444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 85606155-d1c8-45de-bfe7-50ee9cc0d85c · outbound
This paper cites 1 million.
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.830071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c60e22b4-f2ce-4f3f-83eb-deb79df401b8 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.713505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4873c0d9-9b81-4b82-9089-3c5505cfd9f4 · outbound
This paper cites 2024-01-01.
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.845851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 38466d9e-a96b-4e1f-81d1-00061ca5cc5b · outbound
This paper cites For example, if the question mentions 1 million, use 1000000; for 1.2 million, use 1200000.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework For example, if the question mentions 1 million, use 1000000; for 1.2 million, use 1200000
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.680644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation af9154d4-5d3a-40a8-a950-acfa864653ba · outbound
This paper cites Understand which entities are crucial to construct the ground truth answer.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Understand which entities are crucial to construct the ground truth answer
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.814689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 984d1f7d-6322-47e4-b9e6-de28a6662fd0 · outbound
This paper cites Include both the ground truth data and additional negative data points.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Include both the ground truth data and additional negative data points
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.799163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7e6a8c9a-cda7-405f-ba3a-1fb7cd180123 · outbound
This paper cites - Creating negative data points that do not match the answer but help ensure the test is comprehensive.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework - Creating negative data points that do not match the answer but help ensure the test is comprehensive
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.781601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a9bad089-b221-430d-8e16-db00a1f5db77 · outbound
This paper cites Include details like names, summaries, and other fields, making sure the negative data does not overlap with the ground truth.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Include details like names, summaries, and other fields, making sure the negative data does not overlap with the ground truth
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.761914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ffbb228-3b65-4408-ba54-9111b0c7096c · outbound
This paper cites This ensures that the negative data is limited and doesn 't overwhelm the test case.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework This ensures that the negative data is limited and doesn 't overwhelm the test case
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.745387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4d277cb1-7869-4b20-b7c5-05b3fb9eaffb · outbound
This paper cites Specify which fields require unique values, using UUIDs or similar approaches.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Specify which fields require unique values, using UUIDs or similar approaches
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.729524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8c2ab9d3-ee91-42ac-9950-c5cac8528266 · outbound
This paper cites Use the `MATCH` statement before creating relationships to ensure that the nodes exist and the correct connections are established.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Use the `MATCH` statement before creating relationships to ensure that the nodes exist and the correct connections are established
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.698096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3d80c064-f140-45d5-9088-52db7536a2b8 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.661412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a0abc45b-8a2b-46dd-b17c-138c617752aa · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.644717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 017f2147-eae1-42f8-968d-56aafe75931e · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.628839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b54578fa-ef18-4708-b65a-bf341ca5d793 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.612334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 80a97cc9-5766-4c6b-97a1-ece25b8a988e · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.596049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 84eb6335-7459-41e4-9897-a2afe6b2c4ab · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.579606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a6beb4b2-27ec-445a-8077-f822d8b7e922 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.563825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 84502a4f-5f3a-4c1b-98d8-ee116f9aaf45 · outbound
This paper cites Ensure negative data points are not more than five.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Ensure negative data points are not more than five
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.547757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a9c62217-9de7-4407-9100-38a874a6e95d · outbound
This paper cites Code Writing Suggestions: - Avoid errors with f-strings by using string concatenation or `.format()` when needed.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Code Writing Suggestions: - Avoid errors with f-strings by using string concatenation or `.format()` when needed
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.529900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ad03d503-c7bf-4d88-9046-ff561f76e902 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.514014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 23f57384-3e24-47cb-bd85-fcae036ee916 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.498386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1ecf91b8-4d64-407b-8bcf-662ebed22397 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.478740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c1e84d26-4c46-44af-9f50-c714ea3dfd65 · outbound
This paper cites an unresolved cited work.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:59:58.462186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation abc1ab82-cf7c-45fa-8e0e-d225eca8465e · outbound
This paper cites - Understand what the user needs, keeping in mind the eventual answer.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework - Understand what the user needs, keeping in mind the eventual answer
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.443888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7cbf7551-5ea5-4a29-90a1-7b1cd090c9d2 · outbound
This paper cites - Ensure that any indexes and constraints are considered when formulating your response.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework - Ensure that any indexes and constraints are considered when formulating your response
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.424342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fc567c6d-5128-407b-ba1e-cfece5b70791 · outbound
This paper cites Keep track of these nodes.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Keep track of these nodes
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.402982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 04178fc5-3f44-42a4-8257-dd8443addfa6 · outbound
This paper cites Do not create imaginary relationships; only consider the relationships that are present in the schema.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Do not create imaginary relationships; only consider the relationships that are present in the schema
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.386371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 74cafca9-5b8b-4bd9-89ac-1060e13fc150 · outbound
This paper cites Do not create imaginary properties; only consider the properties that are present in the schema.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Do not create imaginary properties; only consider the properties that are present in the schema
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.370382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a0ce65af-94db-47a8-acb1-c49a997e11f7 · outbound
This paper cites Cypher generation plan.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework Cypher generation plan
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.352621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ffdb34b6-a7be-4f8c-bd3a-707dd6ee7f37 · outbound
This paper cites A Survey on Employing Large Language Models for Text-to-SQL Tasks.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework A Survey on Employing Large Language Models for Text-to-SQL Tasks
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:59:58.034914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ac35a1b-f433-4722-b0b5-ef2845c771e6 · outbound
This paper cites https://huggingface.co/datasets/ tomasonjo/text2cypher-gpt4o-clean?row=0.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework https://huggingface.co/datasets/ tomasonjo/text2cypher-gpt4o-clean?row=0
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:59:58.931149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation a123a844-39d9-43aa-aec0-1ff43c107562 · inbound
CYGNET: Cypher Gate for Neural Execution Triage and Cost Containment cites this paper.
CYGNET: Cypher Gate for Neural Execution Triage and Cost Containment Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:36:45.354515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9bb09f7c-1d18-4ac3-b690-f5ba416c8a6b · inbound
KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems cites this paper.
KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T19:13:53.471761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.