Paper Citation Record · LEDGER

OpenAGI: When LLM Meets Domain Experts

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2304.04370.

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

pith.paper-citation-record.v1
2304.04370 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:04:16.563101Z

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

76
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 8bb57ac0-e361-4108-806c-4031807235fb · inbound

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model cites this paper.

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model OpenAGI: When LLM Meets Domain Experts

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:41:04.833789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c75114b5-a65c-4fe9-bc01-89f8735f8832 · inbound

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

Mind2Web: Towards a Generalist Agent for the Web OpenAGI: When LLM Meets Domain Experts

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:05:16.222771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8385fa71-353c-4e23-a367-f1f51cbc518f · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey OpenAGI: When LLM Meets Domain Experts

Reference 212

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:47:47.828071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e44c9970-b78e-4cd3-9036-c4345c4fea9a · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI OpenAGI: When LLM Meets Domain Experts

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:37:41.645563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 85f7a256-b503-4a2d-85a5-0f38d75c01a6 · inbound

Guided Debugging of Auto-Translated Code Using Differential Testing cites this paper.

Guided Debugging of Auto-Translated Code Using Differential Testing OpenAGI: When LLM Meets Domain Experts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:04:16.563101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab93c2f-fd0c-47eb-b722-9df41ec74392 · inbound

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback cites this paper.

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback OpenAGI: When LLM Meets Domain Experts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:39.455823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 274b802c-92c4-4231-aa26-e1274c7f6fd3 · inbound

VocalCrypt: Novel Active Defense Against Deepfake Voice Based on Masking Effect cites this paper.

VocalCrypt: Novel Active Defense Against Deepfake Voice Based on Masking Effect OpenAGI: When LLM Meets Domain Experts

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T18:34:13.131422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69576767-6a51-4a02-ad25-12840a615fd9 · inbound

ORFS-agent: Tool-Using Agents for Chip Design Optimization cites this paper.

ORFS-agent: Tool-Using Agents for Chip Design Optimization OpenAGI: When LLM Meets Domain Experts

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:27:16.156104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3900cef5-523c-42da-a6af-0a85bf44899c · inbound

Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? cites this paper.

Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? OpenAGI: When LLM Meets Domain Experts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T17:14:15.058933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b38302-8193-4914-bf59-266d4451455b · inbound

IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling cites this paper.

IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling OpenAGI: When LLM Meets Domain Experts

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:05:56.848279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9b82573-1226-4fc5-94bb-27285920ddfa · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces OpenAGI: When LLM Meets Domain Experts

Reference 98

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:01:18.738997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.