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Paper Citation Record · LEDGER

Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks

As of 11 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.

pith.paper-citation-record.v1
2501.06625 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:01:58.808095Z

measured 14 of 14 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:47.174246Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-10T21:01:58.744944Z digest=sha256:aa7bfc2179af450ff86b4705ad32d0c1b35c6807dc16517d3199fa9a8c462bf7

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.

source=pdf_text observed=2026-08-10T21:01:58.751544Z digest=sha256:292148cf4ba40131b432a2cf7040d2f5e50236c6d95244f6bd56ea436f585286

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.

source=pdf_text observed=2026-08-10T21:01:58.756814Z digest=sha256:4263bf014f80c699eea15403bb73b7249328a0c6c9c70048b52efb207097bfb8

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.

source=pdf_text observed=2026-08-10T21:01:58.762144Z digest=sha256:a41ae124747541de3d534648527d0c34b063eeed5efa45f8983201abd16507f0

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.

source=pdf_text observed=2026-08-10T21:01:58.767024Z digest=sha256:ef9e60c3b07bf38c9140b40f717a3834439f8ad6aaa432e0e56525491ee3d441

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.

source=pdf_text observed=2026-08-10T21:01:58.772100Z digest=sha256:eca8954e4ab7cd0079ce19d828f3d0fd32cc6a75d3134a3c5aa37c75bed7f4e1

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.

source=pdf_text observed=2026-08-10T21:01:58.777965Z digest=sha256:3e08d8a1a4757ac11634fef639787dd2ceca6da30739b3d24d2905dd97f1813c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:01:58.783351Z digest=sha256:d094cd1f7f0bf243fd33e1d9efa620c0f573057cf0c584dfb893b23872c0c5b6

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.

source=pdf_text observed=2026-08-10T21:01:58.788036Z digest=sha256:e3d54852633854ff0ccd1718af700c6d85cfc2dffa01b2d595324465797e0500

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:01:58.793226Z digest=sha256:9479fd4dee0b892c6b7bfb2b809fe8db68d232e9cc1581bd8f00417db785ca4a

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.

source=pdf_text observed=2026-08-10T21:01:58.803237Z digest=sha256:64d4d7479e93ddc8c1d0274f40049fd650995891d4fa2cc7163a5504118ab6b4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:01:58.808095Z digest=sha256:2346ff42fc51926c3d772716283b77f44c2f73e47ac9127cff3f4c7f0df3ff99

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.

source=pdf_text observed=2026-08-10T21:01:58.797785Z digest=sha256:864c6922164ddc0d087ec897dc4c9aba4d1ea9147dfc72797eaaef7aa7213c61

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:15:47.174246Z digest=sha256:d0654a7db1751bc608d43902330b662957d104a98e7def5cb3f4629d986a7e96