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Paper Citation Record · LEDGER

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.21677.

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

pith.paper-citation-record.v1
2607.21677 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:18:33.455530Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

60 of 60 outbound references displayed

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Outbound references

Observation c7479739-f648-4380-acc0-b26e3df43081 · outbound

This paper cites Cwm: An open-weights llm for research on code generation with world models,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Cwm: An open-weights llm for research on code generation with world models,

Reference 1

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source=pdf_text observed=2026-08-01T08:18:26.321470Z digest=sha256:9a795c182b79383f38e385938d954891f9a1e23ad63ad68514bf637e9eed4057

Observation 2e20222e-9191-48bf-9870-c0b62c0d000f · outbound

This paper cites Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Reference 2

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source=pdf_text observed=2026-08-01T08:18:26.387175Z digest=sha256:9b29d2de58946a9fec796d145b1118a1abee9e79ead98f7f2e098a164d6b6ce4

Observation ce525bee-d77b-4a8f-9513-c3cf13ee0fdd · outbound

This paper cites Qwen3-Coder-Next Technical Report.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Qwen3-Coder-Next Technical Report

Reference 3

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Observation 55787193-6cbe-4b61-9d49-3fc484fe605d · outbound

This paper cites Mixtral of Experts.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Mixtral of Experts

Reference 4

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source=pdf_text observed=2026-08-01T08:18:26.604127Z digest=sha256:d2be0bdd14d8a5930ddb8ceccaaedf4f53f2971cd498689f0145fe04d7854630

Observation cb6a4e8e-579d-4d60-a3e8-49a78dbc040d · outbound

This paper cites How much do language models memorize?.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy How much do language models memorize?

Reference 5

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Observation b2e04504-54c9-451d-a8a5-c241aba4437c · outbound

This paper cites Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon

Reference 6

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Observation 4fe25be8-31ac-4e38-ad82-4fd2d5c1b3ae · outbound

This paper cites Scaling laws for fact memorization of large language models,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Scaling laws for fact memorization of large language models,

Reference 7

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source=pdf_text observed=2026-08-01T08:18:27.033328Z digest=sha256:50e28d1a8757cf9f544743094e083a4add1b47a655e3c484cfd464517f04b8ce

Observation 35705598-4f76-4ce6-ac1d-051775e20669 · outbound

This paper cites Scaling Laws for Neural Language Models.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Scaling Laws for Neural Language Models

Reference 8

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source=pdf_text observed=2026-08-01T08:18:27.143490Z digest=sha256:654f3522bbee4d1e0806178cb8d7ea460d5dc0ffc587302037105132f5570e97

Observation 1a9316e9-6113-4d7c-a747-ab3feb23201d · outbound

This paper cites Towards reasoning ability of small language models,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Towards reasoning ability of small language models,

Reference 9

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source=pdf_text observed=2026-08-01T08:18:27.253170Z digest=sha256:7ad7220608f649995d17b98a5f3c059d789ca931c62f55fb252974c0a201561e

Observation c0257854-b4dc-4c88-8146-db1f251a0f0f · outbound

This paper cites Why Language Models Hallucinate.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Why Language Models Hallucinate

Reference 10

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source=pdf_text observed=2026-08-01T08:18:27.340475Z digest=sha256:c052a699685d96a262279ea096465d23154c819d07d29525fe46f928d542c071

Observation db84c1f4-36ce-45a6-89a1-01fc69006180 · outbound

This paper cites Human-written vs. ai- generated code: A large-scale study of defects, vulnerabilities, and complexity,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Human-written vs. ai- generated code: A large-scale study of defects, vulnerabilities, and complexity,

Reference 11

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source=pdf_text observed=2026-08-01T08:18:27.463620Z digest=sha256:c97255254bdd38220923400c5d64045f67248cae93d340c69daaf28147376558

Observation 18cc4b6a-9007-44bc-987d-c89d14803fb8 · outbound

This paper cites Speed at the cost of quality: How cursor ai increases short-term velocity and long-term complexity in open-source projects,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Speed at the cost of quality: How cursor ai increases short-term velocity and long-term complexity in open-source projects,

Reference 12

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source=pdf_text observed=2026-08-01T08:18:27.565800Z digest=sha256:ae44bcad5e3bc81602c9bddd765d53374847396c90a51f52c8078a4610a6365f

Observation 0914197e-d1f3-4758-9c54-5c67a28cf066 · outbound

This paper cites Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Reference 13

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source=pdf_text observed=2026-08-01T08:18:27.678402Z digest=sha256:c6abc2c5ab02735e0a45c1fb305c9703884a6be9ac964ef4c3df6929d8c5d881

Observation 5d363549-ae59-4752-9115-d574dc46c6c2 · outbound

This paper cites Supercode: Sustainability per ai-driven co-design,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Supercode: Sustainability per ai-driven co-design,

Reference 14

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source=pdf_text observed=2026-08-01T08:18:27.819186Z digest=sha256:be9b67915686bda5f8197de563366fa896a4140e9a43971ec6c7a7ccde1ad281

Observation 89c13c2e-c33c-4303-ac43-6adc5ca194dc · outbound

This paper cites Lofar: The low-frequency array,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Lofar: The low-frequency array,

Reference 15

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source=pdf_text observed=2026-08-01T08:18:27.943501Z digest=sha256:7b43c418c56d560d3f3719c76c8a88cf881cecdb43b87d02b820d72ccc757d05

Observation 911db56a-b3ca-4aa6-966a-2780847fcdf5 · outbound

This paper cites Into the depths: Unveiling elais-n1 with LOFAR’s deepest sub-arcsecond wide- field images,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Into the depths: Unveiling elais-n1 with LOFAR’s deepest sub-arcsecond wide- field images,

Reference 16

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Observation 1aea54fc-798b-4012-9997-177fddf6119b · outbound

This paper cites The lofar correlator: Implementation and performance analysis,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy The lofar correlator: Implementation and performance analysis,

Reference 17

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source=pdf_text observed=2026-08-01T08:18:28.208099Z digest=sha256:6b88d2f73246abb8c6cb6feb70eddd9375d39949e4dc6122b7f7f7a87caa1893

Observation 3b8d858f-fb15-4a36-9882-df3d8d9d2064 · outbound

This paper cites Commodity compute-and data-transport system design in modern large-scale distributed radio telescopes,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Commodity compute-and data-transport system design in modern large-scale distributed radio telescopes,

Reference 18

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source=pdf_text observed=2026-08-01T08:18:28.315230Z digest=sha256:aea2b60f3793bf01c9a89e5cbf1313bf8735a5ac4a3a5ca124ac48326217c809

Observation b6b61f02-870e-4147-b7f1-a3dcf9609baa · outbound

This paper cites Lofar2.0 documentation.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Lofar2.0 documentation

Reference 19

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source=pdf_text observed=2026-08-01T08:18:28.448737Z digest=sha256:12cd35e5dd11124e69c59b33ddfd09ebd27e0eda55ef9561545091feeda2dd8f

Observation db47622d-2253-4b34-a1e7-8aaa002e62d8 · outbound

This paper cites Analogue neuromorphic receiver signal processing for radio astronomy,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Analogue neuromorphic receiver signal processing for radio astronomy,

Reference 20

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source=pdf_text observed=2026-08-01T08:18:28.588624Z digest=sha256:f8fd291afc284c494fc000787135530e9e6f11a34469180b498279e5f4747dfb

Observation f44ba6d9-93b4-4b5c-b516-b67cb4079ed7 · outbound

This paper cites How hungry is ai? benchmarking energy, water, and carbon footprint of llm inference,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy How hungry is ai? benchmarking energy, water, and carbon footprint of llm inference,

Reference 21

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source=pdf_text observed=2026-08-01T08:18:28.678991Z digest=sha256:b0e30958fc87b23ac7aa534278399170f6c033d598f405283b83a65fe82a97a2

Observation 432461a2-6c1f-40c3-834b-1164e38900d3 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Carbon Emissions and Large Neural Network Training

Reference 22

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source=pdf_text observed=2026-08-01T08:18:28.779407Z digest=sha256:303d60b285e3796e2a9bc9869ed87604831958d9c04099325b2a5695203c6ab3

Observation 845f6e99-5b06-4c41-abf1-a81952eb4ddf · outbound

This paper cites Making ai less’ thirsty’,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Making ai less’ thirsty’,

Reference 23

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source=pdf_text observed=2026-08-01T08:18:28.935627Z digest=sha256:6c02d19a1ced93d3dc71830fa47b9ce4b467041f3ef5884e76c0accec501945a

Observation 1ec85fbd-16ee-4954-9bea-004941790c13 · outbound

This paper cites Trends in ai inference energy consumption: Beyond the performance-vs-parameter laws of deep learning,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Trends in ai inference energy consumption: Beyond the performance-vs-parameter laws of deep learning,

Reference 24

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Observation 43dd49c6-b9fa-436a-9ddf-12cb9da08ee0 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Quantifying the Carbon Emissions of Machine Learning

Reference 25

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Observation a79b32bd-f177-4e8a-a9e1-89818ca90b14 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 26

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Observation 2657a868-f393-4517-8149-4dc7b0a1a7d2 · outbound

This paper cites How interpretable are reasoning explanations from prompting large language models?.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy How interpretable are reasoning explanations from prompting large language models?

Reference 27

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Observation 2be047fb-ddca-474b-a5d7-92afae69f94e · outbound

This paper cites Deep sub-arcsecond wide-field imaging of the Lockman Hole field at 144 MHz,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Deep sub-arcsecond wide-field imaging of the Lockman Hole field at 144 MHz,

Reference 28

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source=pdf_text observed=2026-08-01T08:18:29.583236Z digest=sha256:964ef0d9d6de472bc06c9f15b6828b3b5fdec76011f7d4b40796ba133d000ad8

Observation f61223d4-63e2-49ec-86d3-75056f7cc3db · outbound

This paper cites Astron receives C4.6 million to widen and sharpen lofar’s cosmic vision.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Astron receives C4.6 million to widen and sharpen lofar’s cosmic vision

Reference 29

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source=pdf_text observed=2026-08-01T08:18:29.680679Z digest=sha256:e446fd19ef1d0c8d689da6f852d6ccfc07f9e6672cd232822e5fc82f2c527afc

Observation c132fb8c-8a28-4654-b162-229aceefa988 · outbound

This paper cites astrocamp: A community benchmark and co-design framework for sustainable ska-scale radio imaging,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy astrocamp: A community benchmark and co-design framework for sustainable ska-scale radio imaging,

Reference 30

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source=pdf_text observed=2026-08-01T08:18:29.771061Z digest=sha256:77fd035769244e4da328b57c0f8b24bf1ae911f59d62b34e96f60bf1efc5eae3

Observation 5828262b-768f-4b7c-acc4-1cd212950c57 · outbound

This paper cites Celloai: Leveraging large language models for hpc software development in high energy physics,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Celloai: Leveraging large language models for hpc software development in high energy physics,

Reference 31

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Observation eeca7fee-466b-4158-af0e-7425945247e6 · outbound

This paper cites The Larger the Better? Improved LLM Code-Generation via Budget Reallocation.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy The Larger the Better? Improved LLM Code-Generation via Budget Reallocation

Reference 32

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source=pdf_text observed=2026-08-01T08:18:29.948950Z digest=sha256:7dc5aeda9947f7e0858325296a1fda80a6e4395d8917116295ba2c4e3304e6e9

Observation 166f0faf-3904-461e-95dc-c79d7c7742cf · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 33

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source=pdf_text observed=2026-08-01T08:18:30.099533Z digest=sha256:84bbf4d63fa4a7afc7f185a68c37475c0b8d6ca13519a06a1a409b8a0885ede9

Observation 91954690-8ac9-4f3a-ba7f-a79a461b9b77 · outbound

This paper cites CodeT: Code Generation with Generated Tests.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy CodeT: Code Generation with Generated Tests

Reference 34

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source=pdf_text observed=2026-08-01T08:18:30.230519Z digest=sha256:833ceef39bff151182f089a8b3ebede82c07654e88f15e38e224a57b485bf38c

Observation 07b8fed7-8396-44b6-8d10-b1f49bde2f6d · outbound

This paper cites LEVER: Learning to Verify Language-to-Code Generation with Execution.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 35

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source=pdf_text observed=2026-08-01T08:18:30.333650Z digest=sha256:b65e0369446d521b84ddd2a9a922d760827ffb74b998956690d0413206469b15

Observation 1d79c683-2206-4f18-b73c-3e4d8d06e50d · outbound

This paper cites Metis: fast quality-aware rag systems with configuration adaptation,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Metis: fast quality-aware rag systems with configuration adaptation,

Reference 36

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source=pdf_text observed=2026-08-01T08:18:30.479717Z digest=sha256:b4a6106f0087fb6b70b976ab455890b67a308cd631f0b5298723f24e8710828e

Observation 330c41ff-490d-45a5-93ff-2e6985e59c5b · outbound

This paper cites ContextPilot: Fast Long-Context Inference via Context Reuse.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy ContextPilot: Fast Long-Context Inference via Context Reuse

Reference 37

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source=pdf_text observed=2026-08-01T08:18:30.606475Z digest=sha256:2568507f032260a9da6e9cf84f01e5912797e4714f148184cb5519d282724e6e

Observation c49d3982-8b64-497b-bff8-789e0f74b128 · outbound

This paper cites Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches

Reference 38

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no resolver link, observed 2026-08-01T08:18:30.702152Z

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source=pdf_text observed=2026-08-01T08:18:30.702152Z digest=sha256:a9abfdee10b2ea72f152f5b91a8dce2fbef15a344a20119e949f60a4a5fba4d1

Observation 4db2055a-313f-4063-a6ad-50062baf2940 · outbound

This paper cites Demystifying chains, trees, and graphs of thoughts,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Demystifying chains, trees, and graphs of thoughts,

Reference 39

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source=pdf_text observed=2026-08-01T08:18:30.852325Z digest=sha256:7be4845e0a01d0aaca0c15cfe4ee4333bcc11431578a9c6a2eb45313c6f8ee7f

Observation e8ccf86a-3342-4971-9b15-a63f73721ceb · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Chain-of-thought prompting elicits reasoning in large language models,

Reference 40

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no resolver link, observed 2026-08-01T08:18:30.944385Z

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source=pdf_text observed=2026-08-01T08:18:30.944385Z digest=sha256:fb83f1813f2446532443b2ce21bdbfc2fd9f238fbe91c3c2e70e52a32e6c600a

Observation ba2ec3e6-f3d1-49f2-a324-bea2a8cf95cc · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 41

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no resolver link, observed 2026-08-01T08:18:31.022929Z

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source=pdf_text observed=2026-08-01T08:18:31.022929Z digest=sha256:ac6dacf581fa4e8ca0edc7be44be1c9b070f091aea4b2081f7b224df0981b98a

Observation 1694cf9a-7615-4bb6-8a1e-978aae294c34 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Tree of thoughts: Deliberate problem solving with large language models,

Reference 42

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no resolver link, observed 2026-08-01T08:18:31.129281Z

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source=pdf_text observed=2026-08-01T08:18:31.129281Z digest=sha256:d46ea4e6887dee6bcc38e9411b2aa84952227d104da40188175dcb4a10c7a476

Observation 664bcbc4-8357-4e78-ba16-75556ad21786 · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 43

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no resolver link, observed 2026-08-01T08:18:31.256413Z

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source=pdf_text observed=2026-08-01T08:18:31.256413Z digest=sha256:c11fe3eef8fd4d52a607a718270c4a0bc4cb71aaf28401f63c2c3aa484c55edc

Observation cfb2e5da-9495-4ca1-9c15-7e3e48acfe26 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Graph of thoughts: Solving elaborate problems with large language models,

Reference 44

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no resolver link, observed 2026-08-01T08:18:31.442713Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T08:18:31.442713Z digest=sha256:46a9820fcc886b84c613ca0632a7f0b20efb7dc47d6ed1e692dcf065b4792b9d

Observation 87caf9c3-d9ba-43ce-9224-b503eb6294e2 · outbound

This paper cites Everything of thoughts: Defying the law of penrose triangle for thought generation,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Everything of thoughts: Defying the law of penrose triangle for thought generation,

Reference 45

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no resolver link, observed 2026-08-01T08:18:31.550711Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T08:18:31.550711Z digest=sha256:83711fbfdba39d2669c9d30fab2fb38b7f904700997dc15d2fc1a5003df74965

Observation bd68f257-c7fc-4c36-8b30-58731acccfed · outbound

This paper cites Buffer of thoughts: Thought-augmented reasoning with large language models,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Buffer of thoughts: Thought-augmented reasoning with large language models,

Reference 46

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no resolver link, observed 2026-08-01T08:18:31.662996Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T08:18:31.662996Z digest=sha256:291be0dea0ed5c235e509f731a217247d4041bb50f994be269377e3eea4f63fb

Observation 6923d45f-42e9-411a-afc9-83a38ee1cd94 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 47

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no resolver link, observed 2026-08-01T08:18:31.802220Z

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source=pdf_text observed=2026-08-01T08:18:31.802220Z digest=sha256:c3755206b4902dfa3d578e2ee225fc4f28fe71641ea885ead3901ab177051978

Observation 519bb0fe-4c33-46a7-bece-9bb072b55da4 · outbound

This paper cites Reversal of thought: Enhancing large language models with preference-guided reverse rea- soning warm-up,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Reversal of thought: Enhancing large language models with preference-guided reverse rea- soning warm-up,

Reference 48

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no resolver link, observed 2026-08-01T08:18:31.918812Z

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source=pdf_text observed=2026-08-01T08:18:31.918812Z digest=sha256:b953bccc567d726f919000c4085627f777746049a12e11d796ce27f4605dd578

Observation 8c572676-27b6-4429-8d09-0cc59d649cd4 · outbound

This paper cites Combining large language models with static analyzers for code review generation,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Combining large language models with static analyzers for code review generation,

Reference 49

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no resolver link, observed 2026-08-01T08:18:32.080311Z

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source=pdf_text observed=2026-08-01T08:18:32.080311Z digest=sha256:5809b7b382ca81b2d2a78aeb361d7d00dec1a6be5f5cb1cc07b657ea0a7b6e27

Observation 013c11a7-48d4-4508-89fc-bc02909f9d2f · outbound

This paper cites Static analysis as a feedback loop: Enhancing llm-generated code beyond correctness,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Static analysis as a feedback loop: Enhancing llm-generated code beyond correctness,

Reference 50

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no resolver link, observed 2026-08-01T08:18:32.207133Z

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source=pdf_text observed=2026-08-01T08:18:32.207133Z digest=sha256:aca4529742723d703512c18659931c892b626ab4ff888a9ba568d708936867a1

Observation 17a70aec-1cd1-4bd1-bb12-882778a4f502 · outbound

This paper cites Producing wrong data without doing anything obviously wrong!.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Producing wrong data without doing anything obviously wrong!

Reference 51

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no resolver link, observed 2026-08-01T08:18:32.299481Z

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source=pdf_text observed=2026-08-01T08:18:32.299481Z digest=sha256:bcbdcec102141641a13de8c66a5f694d21b46bde1b901a12ab390aee4e58662c

Observation 90c7169c-fedc-47ed-b04d-e2ec2d964bc9 · outbound

This paper cites an unresolved cited work.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Unresolved cited work

Reference 52

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no resolver link, observed 2026-08-01T08:18:32.447425Z

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source=pdf_text observed=2026-08-01T08:18:32.447425Z digest=sha256:c708c3c7ec0c8d1d5cc5ccea991b58385895f2ea7b369cfe8d59c77e52bc3e12

Observation 6b74d4de-326e-4fdb-8444-e6625f134e10 · outbound

This paper cites Rapidly selecting good compiler optimizations using per- formance counters,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Rapidly selecting good compiler optimizations using per- formance counters,

Reference 53

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no resolver link, observed 2026-08-01T08:18:32.564003Z

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source=pdf_text observed=2026-08-01T08:18:32.564003Z digest=sha256:63e9a2e3a63062c49cf3742bd1c22a92d79b0cd7ed1fc8b7fd54349be1fcd24f

Observation 2c3b17ee-8f79-47dd-928f-88fcb2d8082c · outbound

This paper cites Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion,

Reference 54

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no resolver link, observed 2026-08-01T08:18:32.671402Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T08:18:32.671402Z digest=sha256:7a3d71b1a7e197a59b3eba855c36b422bc11c2ad1cae01ddbbd7c5fdb59c5a49

Observation 6e1e6c20-e381-4c96-ad04-263782f24ac8 · outbound

This paper cites Langchain community.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Langchain community

Reference 55

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no resolver link, observed 2026-08-01T08:18:32.820630Z

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source=pdf_text observed=2026-08-01T08:18:32.820630Z digest=sha256:07e859ffc6c7246bd74f699799c4e1389963123892f96d3ac6a92c02d7cf98ef

Observation 90745d2b-2720-4804-9301-5ce8ea0ec1da · outbound

This paper cites The Faiss library.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy The Faiss library

Reference 56

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no resolver link, observed 2026-08-01T08:18:32.956691Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T08:18:32.956691Z digest=sha256:bf5e93993be41b122a748c6a90c174a5251d5d65ea40f59eed6cc83e60771378

Observation 8e6318a1-4d47-4a14-b803-503c4f6d6824 · outbound

This paper cites Qwen2. 5 technical report,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Qwen2. 5 technical report,

Reference 57

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no resolver link, observed 2026-08-01T08:18:33.079901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:18:33.079901Z digest=sha256:561f4366964a50bed3b07c0a39f75e280d887e1c5488224c122f4439ea1e9c6d

Observation a47ef160-bc25-4441-9f4e-7735f12aad71 · outbound

This paper cites Coz: Finding code that counts with causal profiling,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Coz: Finding code that counts with causal profiling,

Reference 58

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no resolver link, observed 2026-08-01T08:18:33.219433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:18:33.219433Z digest=sha256:496c6a0d91002ba03e89c7f00e61a7914b019ebc19cb66f4ddf7831de21aafaa

Observation 7db8256f-8501-4e2f-a506-02d8d051f8f4 · outbound

This paper cites Job-level Carbon and Water Footprint Estimation for HPC: Bias Assessment from Runtime to Full Life Cycle.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Job-level Carbon and Water Footprint Estimation for HPC: Bias Assessment from Runtime to Full Life Cycle

Reference 59

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no resolver link, observed 2026-08-01T08:18:33.336229Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T08:18:33.336229Z digest=sha256:638e84f383a6748b00227e665453c3a6c4f2677b4529cb1dc19f2d8374b376bc

Observation d2ac86a6-b9a9-4135-b461-2f49aee5ff24 · outbound

This paper cites Evaluating large language models trained on code,.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Evaluating large language models trained on code,

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:18:33.455530Z digest=sha256:5369b3b989f2bafd93491ada68c90d9be9d59f8c00e82d9690aa75d36bb5e74d

Pith citing papers

No inbound Pith citation observations are available.