Paper Citation Record · LEDGER

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We?

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2411.17927.

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

pith.paper-citation-record.v1
2411.17927 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:46:20.720359Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact2
verified fuzzy14
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 416a0a09-8e82-45ef-8f66-1d9a829c47e1 · outbound

This paper cites Emergent abilities of large language models,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Emergent abilities of large language models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.235060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5bc978b2-c081-4760-a448-9185af02ba53 · outbound

This paper cites Measuring Data.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Measuring Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T11:46:20.635199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61a3bf9a-5e2c-4cbc-a950-ebcc70b0facc · outbound

This paper cites Codegen: An open large language model for code with multi-turn program synthesis,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Codegen: An open large language model for code with multi-turn program synthesis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.219840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 711e452f-e0a4-4044-a102-69c20d0a9b10 · outbound

This paper cites Codegen2: Lessons for training llms on programming and natural languages,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Codegen2: Lessons for training llms on programming and natural languages,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.204675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 668ce3b1-fe11-4e53-8a0a-79854a11e0d2 · outbound

This paper cites Are emergent abilities of large language models a mirage?.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Are emergent abilities of large language models a mirage?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.188892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0c6cc93c-b5de-42ef-96f5-49d776dd93db · outbound

This paper cites Are emergent abilities in large language models just in-context learning?.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Are emergent abilities in large language models just in-context learning?

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.173138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60f56d2f-ec20-49d0-9401-6fff90858473 · outbound

This paper cites Beyond the imitation game: Quantify- ing and extrapolating the capabilities of language models,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Beyond the imitation game: Quantify- ing and extrapolating the capabilities of language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.157271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b83ed9ba-fb9c-4d6d-ba85-8e463f8b74a7 · outbound

This paper cites Beyond accuracy: Behavioral testing of nlp models with checklist,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Beyond accuracy: Behavioral testing of nlp models with checklist,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.142687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f5abe65a-cb60-4d74-a6e0-bb1042d0500e · outbound

This paper cites A Structured Review of the Validity of BLEU,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? A Structured Review of the Validity of BLEU,

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-12T11:46:20.666642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fd066c-88d0-4a62-adbb-23a430fbfd9c · outbound

This paper cites ORANGE: a method for evaluating automatic evaluation metrics for machine translation,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? ORANGE: a method for evaluating automatic evaluation metrics for machine translation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.127455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9d362b6-e235-47ec-9ee4-4f28c95c61ec · outbound

This paper cites Codebleu: a method for automatic evaluation of code synthesis,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Codebleu: a method for automatic evaluation of code synthesis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.111813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9992ad7-473d-4397-92b5-725acb4cd55b · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Bleu: a method for automatic evaluation of machine translation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.094623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b8c493f-07b1-42b4-83ba-283f5fffc07c · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:46:20.684520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4674ae1c-6d29-474e-84dc-8053821ecbf2 · outbound

This paper cites Pypi/k4black/codebleu,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Pypi/k4black/codebleu,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.078945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b18a490e-abf3-40d8-95a8-6e2dbbca4656 · outbound

This paper cites Commit message generation for source code changes,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Commit message generation for source code changes,

Reference 15

Resolution: verified exact; doi, observed 2026-08-12T11:46:20.766944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5577396c-4775-498a-b4ba-2dc8edd8f87b · outbound

This paper cites Using large language models for commit message generation: A preliminary study,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Using large language models for commit message generation: A preliminary study,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.062819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8529a88b-818d-46be-844e-261a1e4fd7fb · outbound

This paper cites Emergent capabilities of LLMs for software engineering,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Emergent capabilities of LLMs for software engineering,

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-12T11:46:20.982681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa2e705e-ee08-4f5c-b3d3-af45a455abbc · outbound

This paper cites On the evaluation of commit message generation models: An experimental study,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? On the evaluation of commit message generation models: An experimental study,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.046873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c5ed9eb3-ab0f-4eeb-b045-b066387e313b · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big?.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? On the dangers of stochastic parrots: Can language models be too big?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T11:46:20.711526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a61fe14-d7c4-4141-bbcf-41c14aea55bc · outbound

This paper cites Detecting emergent intersectional biases: Contextualized word embeddings contain a distribution of human-like biases,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Detecting emergent intersectional biases: Contextualized word embeddings contain a distribution of human-like biases,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:46:20.715940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9fe2d3b-8c2d-4803-b330-362a36cf7ccc · outbound

This paper cites Social biases in NLP models as barriers for persons with disabilities,.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Social biases in NLP models as barriers for persons with disabilities,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:46:21.031613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.