Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:01:58.808095Z
Paper Citation Record · LEDGER
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks
As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2501.06625.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:47.174246Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:15:56.995506Z
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 02fb6abf-b3da-4d9a-8409-20c689e484c8 · outbound
This paper cites Effective Long-Context Scaling of Foundation Models.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Effective Long-Context Scaling of Foundation Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.744944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a48ee7e6-5632-473f-a33b-689c00f1ecba · outbound
This paper cites Long-context LLMs Struggle with Long In-context Learning.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Long-context LLMs Struggle with Long In-context Learning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.751544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcd3e738-28e0-4adb-b206-938a881f2027 · outbound
This paper cites GLM-130B: An Open Bilingual Pre-trained Model.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks GLM-130B: An Open Bilingual Pre-trained Model
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.756814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88bb9ee1-9aee-41de-ab67-74940e9e54b5 · outbound
This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.762144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1f15bd7-13e0-4f35-8ed6-346c68fec6ca · outbound
This paper cites Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.767024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f677568-3a6d-4fbf-8d4f-79e7123c80a1 · outbound
This paper cites Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.772100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 180839ec-bed8-4167-9fe1-9c1506c3e16c · outbound
This paper cites Long-context LLMs Struggle with Long In-context Learning.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Long-context LLMs Struggle with Long In-context Learning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.777965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 489f544c-57be-4c32-bf35-98d4ea4790c7 · outbound
This paper cites an unresolved cited work.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:01:59.025759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 62e886d5-ac71-4fc1-ba45-dca09a68a750 · outbound
This paper cites OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.788036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ab2db0a-765f-4f19-8ee8-087755a28c63 · outbound
This paper cites Teknium, J.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Teknium, J
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:01:59.011274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ef8a73f2-0a09-4e4e-af8e-69c451f4fde3 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Evaluating Large Language Models Trained on Code
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.803237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20361c06-472f-4cc5-9d6e-29bc602088d3 · outbound
This paper cites ”Chain-of-thought prompting elicits reasoning in large lan- guage models,” in Advances in neural information processing systems, vol.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks ”Chain-of-thought prompting elicits reasoning in large lan- guage models,” in Advances in neural information processing systems, vol
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:01:58.996433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4df555d4-4658-4aa2-b3ca-e49d9dffd877 · outbound
This paper cites Hermes 3 Technical Report.
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Hermes 3 Technical Report
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:01:58.797785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation a8a9e21f-e885-47c5-b441-978dfe4c7a87 · inbound
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks
Reference 154
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:15:57.073888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.