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Paper Citation Record · LEDGER

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.15960.

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

pith.paper-citation-record.v1
2312.15960 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:10:06.584637Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:33:23.421713Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9fa0bf3c-9123-4e5d-aef1-0c6acf764adc · inbound

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study cites this paper.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:06.584637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:10:06.584637Z digest=sha256:a0b1dd23ca17a6b816645c7d07a51ffb7b65b44dd1574419b88580f2de42ca92

Observation 9a6bbefa-3390-4f52-b281-2a48912fe05f · inbound

Logits-Based Finetuning cites this paper.

Logits-Based Finetuning MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:27.504273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:27.504273Z digest=sha256:d00d338d3c045d2e2aa77a43e1c8636db936fe32f19b4be46dae83857da9ca61

Observation edef1191-cf60-451a-9a44-a9c8275e460d · inbound

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks cites this paper.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:33:23.423335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T00:30:09.758339Z digest=sha256:623fec2e2aaf9095111ec5a501d23b0189548ea3f384a46de39e5086cfd9f862