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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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=sha256:15ddcf01bf217d42b8a8f17813ae4a7849814868ce7da8f22ac7e89f7835a44f

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=sha256:498fdff4827ea40ff5129772d2f4b3ea62748cae2090730822e66c4768778dcb

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=sha256:99d876d20d73badecadcf912c8228d233e6e6b895444c471cde8eeb51745f22c

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=sha256:1701f4accbf400dc62190210c5f7bd1a12307a53f0d9b6ec785314d698277b86

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:b330e109a79459afd052a8378cd90feb067ccace05c506e77d52959351168358

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:db1bacdc27e1dc0d1285fb0fb926adf18dc9dfbf3603ea89fd3d87a69f14119f

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:b3e06f08d1a9898e35ee8f6698b7df105948b7ad3acca75285ecb05c15528f64

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:01:58.783351Z digest=sha256:cf560f37fa8cc72ef4c8b5d171943ce84c6ae79ff115267e135ebb650b2062ff

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=sha256:41ba5cbe82c471a83557df12b3d059b45d5cb589410ca9b2eb2ec35bad86937f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:01:58.793226Z digest=sha256:83bcc850de11fc6b3e4d95c6aa85181e3f9c1fff5c2bc7cdb29e7880261e8053

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:b50358bbe2a5b99149ea1e4715d0f000554ce594abb25465dc562078fc90a5dc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:01:58.808095Z digest=sha256:41c1d69991aa645b6ed1283ca1d0f9c4d91ab922940b5aa320e8064dcff2ad02

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:f5394ca8824ad84575c94233738937d735b018caf971d3b86ee6549d8c140cd9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:15:47.174246Z digest=sha256:211d2419b4cd2d15a1f75972a504d17f83e66b1c0b4654e159c394d3d683fce2