Pith. sign in

Paper Citation Record · LEDGER

CodeS: Natural Language to Code Repository via Multi-Layer Sketch

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.16443.

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

pith.paper-citation-record.v1
2403.16443 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:23:34.847953Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b4a5e8b4-eb93-4bf4-a394-e0b9b9b5087c · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 224

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:35:48.507763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:f9fb2beb4f7f3d2fd827555ec9bb2a91265eb7f8362afc6af7ab18dccbb3e6d1

Observation 74219627-f4c6-42a9-b8eb-92f681cb3606 · inbound

Resource-Efficient & Effective Code Summarization cites this paper.

Resource-Efficient & Effective Code Summarization CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-09T04:23:34.847953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:23:34.847953Z digest=sha256:a593a03b73ef5e05127fab378066084afd3126f617e3753abfcd846ff45c35a8

Observation 91bb8384-3384-4968-a4b5-a178b2a00d96 · inbound

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-08T19:24:00.106405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:24:00.106405Z digest=sha256:8933065f7aa9f6f1fbfb332e7a2c25783d76d20d8c977da708d43f5e33daf8c3

Observation fef9ed6a-291b-4210-9580-dfe5e858f18c · inbound

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving cites this paper.

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:48:50.488917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T06:48:50.416649Z digest=sha256:7c9324ea60e55af3309d1257d6231fb053886f05366bc9ffb753fcbc4146fa27

Observation 393e136b-654d-4fcf-b774-8a659bae6dfb · inbound

RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models cites this paper.

RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T10:28:39.161681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:28:39.161681Z digest=sha256:e216027744b79f0797b91b98f638bbb07150e1209b06b73620c960aef5a3298c

Observation 62999504-ba48-40ae-b11e-6be7b34fab15 · inbound

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices cites this paper.

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:36:15.316504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T11:24:07.839469Z digest=sha256:d007bdabea2f264898111adcfd13332690518d86c75b36b2ef99dc01fcc48865

Observation fbb81766-37a0-41ce-9bae-2f7106b97cc6 · inbound

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation cites this paper.

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-02T18:57:17.252087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T21:43:14.839335Z digest=sha256:ff5bf132a8ed40005bc2d97fb31177b439570cf19148211a3c48dae900dcedbe

Observation 9cce01e1-ca3a-4aad-bea0-5d19b64a4be7 · inbound

ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-Synthesis cites this paper.

ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-Synthesis CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:37:21.547003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T20:36:23.658021Z digest=sha256:c1e8c6d9723d7b4123c7e4e20aabc50cafd26e505ed337fab7244242a031d35b

Observation 1f1bf226-959a-417b-996f-30282d98ce56 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details CodeS: Natural Language to Code Repository via Multi-Layer Sketch

Reference 180

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.117603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.117603Z digest=sha256:b501f9bbda2547e15078e120524ba857e0bdf79fa6e4957af6aa640de317ca68