Paper Citation Record · LEDGER

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2506.02314.

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

pith.paper-citation-record.v1
2506.02314 v1

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 2026-07-31T06:34:12.847434+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T14:26:52.414276Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:23:24.671544Z

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 8845b873-a0d6-4b73-a5a1-001b7f67e920 · inbound

CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents cites this paper.

CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:15:28.008514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 4ad5c576-5f75-422e-89b7-6473640b0e45 · inbound

ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences cites this paper.

ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:02:06.935796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 7d50b9dd-91ab-491b-b104-8c950183688f · inbound

FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification cites this paper.

FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:33:02.271560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 9827d15f-5293-4b57-aa18-9223ba4c8115 · inbound

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? cites this paper.

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:03.778992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation eabd1c0e-4c1b-4689-a89f-5ed82c8c11d7 · inbound

AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories cites this paper.

AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:01:04.244734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation eddb464f-bb32-48c8-91c2-7cbca15f67af · inbound

Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench cites this paper.

Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:52:43.035333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation f78992f4-4ce3-462a-b6a9-68a132b93bb6 · inbound

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility cites this paper.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.142766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 78d3d367-84ca-450b-bab8-24e16520e1a2 · inbound

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents cites this paper.

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T23:57:53.363396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 87403219-8c32-45e1-bfd6-113e90b5ff56 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:12.684486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 943dad94-76be-4e79-8e7e-ac03b93f6b2a · inbound

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence cites this paper.

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:23:24.672894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 88708047-8690-4df7-a06e-1ca8438e43fc · inbound

From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis cites this paper.

From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T14:26:52.414276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.