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Paper Citation Record · LEDGER

StructGPT: A General Framework for Large Language Model to Reason over Structured Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2305.09645.

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

pith.paper-citation-record.v1
2305.09645 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:31:19.294362Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bd6732ff-7b0c-4736-8aa4-c661dfefa515 · inbound

Mind2Web: Towards a Generalist Agent for the Web cites this paper.

Mind2Web: Towards a Generalist Agent for the Web StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:05:16.078774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T20:05:15.992207Z digest=sha256:4471e262e0009f66048f79cfcc090ffbbd56df62bc0004a0990441cee4180757

Observation bc39dd44-078f-46e6-9e15-a13e5d2bbe4f · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.662514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:0f4d375db0bb244d78b4c3f4f38d8b48c32ae1574db5b0cc616f1ca74f3d3ccd

Observation 9ae53a55-cac7-4bf5-b185-2234020a67b9 · inbound

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction cites this paper.

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T19:11:58.039426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T19:10:55.009810Z digest=sha256:98b7e2c42c12b67c76c2ca6f3fcc3eeb9b157a3857bcb587d53e2c931b074689

Observation 055bdd32-ca4d-4bf8-9c05-36c8de8abf07 · inbound

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation cites this paper.

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:19.294362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:31:19.294362Z digest=sha256:8ea9728b6716a00cecb12724f1924f95febdb3dfc7239adb4769b4ca317b3af8

Observation 1049669a-5d45-4c83-ae0f-56f27d920bdc · inbound

Graph Repairs with Large Language Models: An Empirical Study cites this paper.

Graph Repairs with Large Language Models: An Empirical Study StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:40.903378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:40.903378Z digest=sha256:f5208b899576d7ecd4f9ca3bcf71142697033597cb8b5d95102d035ce8f1588e

Observation 2887d42c-2cef-491e-9bc6-09289c5d6411 · inbound

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering cites this paper.

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:54.533746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:59:54.533746Z digest=sha256:1e54ff81e44abd7a204a117153e2ef445b5891f2ed6d70cc80a9ea239c17568f

Observation 27d732cd-7ad2-4a93-83d7-42dc5744a2e7 · inbound

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation cites this paper.

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:03.254535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:03.254535Z digest=sha256:c21d27fca46e84a1b919cdc3d2aac65bc6577157d17854774d0b82618b2cd6a5

Observation f2183758-101b-4455-8a10-0907b04a5290 · inbound

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation cites this paper.

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T04:42:04.818196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T04:37:33.942379Z digest=sha256:bee9165308d363321db1fcad60178c6ca71d2edb21776a49d2845f5a808843e5

Observation e8e6e0fd-56ac-41d9-bf16-9f112015f9c2 · inbound

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding cites this paper.

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T16:22:50.792809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:22:50.792809Z digest=sha256:32f8ffc5a97cd89ceb947cdbe85825cd154d9c755a2d9759e5a30211aec9a015

Observation 1ca8d61b-8706-4bfc-a004-6899584c696a · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T22:10:21.562973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T22:09:30.370382Z digest=sha256:3369fa09e0319005960cafe842a07e5137659524b7e87f046b3700dfa5229503

Observation 2714ea27-28c0-48d7-83e5-624e28967e9e · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-02T22:57:03.203979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:57:03.203979Z digest=sha256:9edba965302f292f625447d38adbf97f9cc84a1292760157479707451993e38f

Observation 7ca0bd4a-0c44-4e07-9705-cb3c864edec4 · inbound

SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation cites this paper.

SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T18:58:53.897510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T18:56:42.603682Z digest=sha256:80fab6c804d4e632f747f7b76cfa11e9728e05af1ca3741f1a6d651210621ad0

Observation 973781ed-424b-42ec-8220-2813cf6d9d15 · inbound

DeSQ: Decomposition-based SPARQL Query Generation cites this paper.

DeSQ: Decomposition-based SPARQL Query Generation StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:36:09.155665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T22:15:13.878078Z digest=sha256:281c491e33fa9e0b7aa7f9d210277cd0299880fb70c1bae0be90cc6d3cee7d4e

Observation 5281350b-cb85-441a-95f2-7a20dbb5a816 · inbound

Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation cites this paper.

Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:36:45.025267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T06:50:34.916332Z digest=sha256:a1fb1221b522335c2b49f1b03a964f4734f2904549d0228f09fafa82190615d6