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Paper Citation Record · LEDGER

IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.03894.

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

pith.paper-citation-record.v1
2403.03894 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:12:07.517155Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.723273Z

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 de479790-ec1c-47be-ba0d-1b0a92caed2e · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 212

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.573235Z

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=2026-05-13T20:18:06.304134Z digest=sha256:5b9b998372a725167d58961fa3e9a072a6ccab4e24358345a484f79a9ee2b918

Observation d65f3230-20df-421c-8f6f-e91d487d2192 · inbound

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? cites this paper.

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:35:28.759819Z

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=2026-05-23T07:35:19.736921Z digest=sha256:e044165efc15e8c928ec21b7b7fb954e2554b1e3669492e96be51e13d3a03cc9

Observation 2d9fdf1b-312a-4c9f-89fc-9841d71b14d0 · inbound

Can Large Language Models Understand Intermediate Representations in Compilers? cites this paper.

Can Large Language Models Understand Intermediate Representations in Compilers? IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T20:20:19.696733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:20:19.696733Z digest=sha256:6ca2d933500298d6af130c213101369048d08dcc5008729778e052395f9800a5

Observation 33b272c7-4fd3-46cc-a73b-af5fe95f6251 · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:00.756836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:56:00.756836Z digest=sha256:a11a9b2b12999114f8c2ab5b5999dcab0c0c2d536185a6cc1d0f8cef9c4e1c62

Observation 595945d9-5b3a-4bbe-a9e5-72bf3a91ff0b · inbound

Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders cites this paper.

Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T18:12:07.517155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:12:07.517155Z digest=sha256:aa4d459018f617086d19abbfa1a8df8e8003dc5debada6c0db733452f47f8c93

Observation 24186ddc-2d32-445a-9a2d-14ef5fcbc339 · inbound

Large Language Models for Multilingual Code Intelligence: A Survey cites this paper.

Large Language Models for Multilingual Code Intelligence: A Survey IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:26:15.000240Z

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=2026-05-08T02:44:49.361522Z digest=sha256:a203dc26f2d0f1e497bd9adf1dce9fd2f6a1c9cfd43f08a1fd324c3e79adf738

Observation 7c8e1e35-e6af-414b-af89-1dda9e59e540 · inbound

LLM Translation of Compiler Intermediate Representation cites this paper.

LLM Translation of Compiler Intermediate Representation IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:23.971336Z

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=2026-05-12T00:59:05.006846Z digest=sha256:2e499c2815b919bfd46c1ed01824d6f060a1b1b4800aa907f6b1311a993018f9

Observation 12192e33-0379-420f-a145-af6135aa5cf7 · inbound

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards cites this paper.

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:22.724918Z

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=2026-06-27T20:22:27.538227Z digest=sha256:9fd68e40fa7d2c50003df198f70c05b571d51301db941c344b560ce5078b3e85