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Paper Citation Record · LEDGER

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet

As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.18683.

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

pith.paper-citation-record.v1
2605.18683 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T16:33:31.249105Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 576ffdbf-fc16-42d3-a1f8-13458ae0b472 · outbound

This paper cites Advancing requirements engineering through generative ai: Assessing the role of llms.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Advancing requirements engineering through generative ai: Assessing the role of llms

Reference 1

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Observation c4720388-1ac1-466b-b56a-9297fd415218 · outbound

This paper cites Contemporary software modernization: Perspectives and challenges to deal with legacy systems, 2024.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Contemporary software modernization: Perspectives and challenges to deal with legacy systems, 2024

Reference 2

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:fb21f2a605ba1eb93387c5e3b2291a9f10492330ade109f3e67e4a0bf0e5e240

Observation 97b24d56-2d55-4e62-a79b-5749778cc511 · outbound

This paper cites Knowledgegraphbasedrepository-levelcodegeneration.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Knowledgegraphbasedrepository-levelcodegeneration

Reference 3

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:d6f41cda844e3501dacd0bc73087ad32cdc7b4698acbfd8ce2339f11429b1a44

Observation a730382a-32c9-4061-a956-46f10673a923 · outbound

This paper cites Program synthesis with large language models, 2021.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Program synthesis with large language models, 2021

Reference 4

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:823031a4babf23207a2e3c3dd190aa1ceec04e1ce97198a5cb5187dbef907b7b

Observation 9ebb424f-8798-44e3-9e16-3dca8ea6621f · outbound

This paper cites AutoReSpec: A framework for generating specification using large language models, 2026.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet AutoReSpec: A framework for generating specification using large language models, 2026

Reference 5

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Observation 902261b0-71b0-473b-8602-cd2165573ddd · outbound

This paper cites Addison- Wesley Professional, 4 edition, 2021.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Addison- Wesley Professional, 4 edition, 2021

Reference 6

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Observation f8a190aa-e9bd-480e-b177-7a66fbffdb51 · outbound

This paper cites an unresolved cited work.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Unresolved cited work

Reference 7

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:0f79a05a2c5d274c21003152d951581dde21da2b61169f17fb82951221c33ddb

Observation f60a12a5-43c5-4d89-bbf9-4ee04642332d · outbound

This paper cites Hierarchical repository-level code summarization for business applications using local llms.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Hierarchical repository-level code summarization for business applications using local llms

Reference 9

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:2faefb7117537de3d3f16659935ddc0576b7c2de35035517ffc8a17dd338fa9b

Observation 22779d46-35c0-4d4d-965f-389c76573d1c · outbound

This paper cites Brunelle, and Samruddhi Thaker.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Brunelle, and Samruddhi Thaker

Reference 10

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:8b46cd36b4fca72ed0bfd169db3d686ef794336db4b48d406baac564e3dbcd23

Observation ef6de27d-0543-48cf-8606-ddcef7abd0b3 · outbound

This paper cites Reasoning and planning with large language models in code development.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Reasoning and planning with large language models in code development

Reference 11

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:74f637037730b453bc9c475e92aa0c451b3b16a73f839057410cba57b0c798e2

Observation 9b1af266-7bdf-4adf-9cc8-8bedd8995065 · outbound

This paper cites Leveraging large language models for use case model generation from software requirements.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Leveraging large language models for use case model generation from software requirements

Reference 12

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:4d90bf26f633066a1736d52c47e20e9fa388c2ff5d3751c140fbc1f770835f58

Observation 6e55cf34-1edf-4c67-ad36-58594fae1051 · outbound

This paper cites an unresolved cited work.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:652c5d0c84c13b5970df477967140ab31b7717fc913237b5549c8861c3b60d48

Observation b7d36262-6f4d-4a84-b82f-a57ad240cfbf · outbound

This paper cites Large language models for software engineering: A systematic literature review.��� ������������ �� �������� ����������� ��� �����������, 33(8):1–79, 2024.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Large language models for software engineering: A systematic literature review.��� ������������ �� �������� ����������� ��� �����������, 33(8):1–79, 2024

Reference 14

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:ba4ecc3b4c1972f9d7028201a79ff96363ce8172924ac1b62704a53953917b5f

Observation 0fbf7ec9-295c-4b5a-8640-2420c8509c55 · outbound

This paper cites Iso/iec/ieee 42010:2022, software, systems and enterprise – architecture description, 2022.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Iso/iec/ieee 42010:2022, software, systems and enterprise – architecture description, 2022

Reference 15

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:94b638ecc7ab2693fcce30d916db142e0f95013043addd081d9d0c89f0aaf1ea

Observation a79ccf22-904a-4391-9aef-5473335cfb45 · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan

Reference 16

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Observation 18291e39-1a82-4ce6-8789-8f15e20dec50 · outbound

This paper cites Morescient gai for software engineering, 2024.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Morescient gai for software engineering, 2024

Reference 17

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:ea0be1945fbd165d0a722ab51bc0059d90517b986b8a2b4c58341468b468fe4e

Observation 221cb8c9-f167-451c-96ba-9732a0846576 · outbound

This paper cites CEGen: Cause-effect graph generation using large language models.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet CEGen: Cause-effect graph generation using large language models

Reference 18

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:e53137202be428617d37c144f6b1fb265cae4d8018e20698528444a757c8850c

Observation 0dac9cae-ea09-4e0d-8ef3-7a3f26b6ab66 · outbound

This paper cites Using llms in software requirements specifications: An empirical evaluation.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Using llms in software requirements specifications: An empirical evaluation

Reference 19

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:340d1bcbd1c1fcbfd675ef7e2dfe5c8ada70492fd95431b2fee5b87565363f59

Observation 37db798b-a58a-4a11-9b64-79dcf8bf07d0 · outbound

This paper cites Reproducible, explainable, and effective evaluations of agentic ai for software engineering, 2026.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Reproducible, explainable, and effective evaluations of agentic ai for software engineering, 2026

Reference 20

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:3426a65506a18e4b6445c0d86535bb74260a76c834425b26a809b7543a557a62

Observation dd0dc373-e6d9-481b-91a7-94d5ae7301d0 · outbound

This paper cites Large language model-based agents for software engineering: A survey.��� ������������ �� �������� ����������� ��� �����������, 2026.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Large language model-based agents for software engineering: A survey.��� ������������ �� �������� ����������� ��� �����������, 2026

Reference 21

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:ece99f1ed092dcd04f87365c2f649497398a1beb3171bef200ae18794223fd03

Observation da2fdf53-ec42-4b47-9caf-e06770ab5ab2 · outbound

This paper cites RAG-driven multiple assertions generation with large language models.��������� �������� �����������, 30(4), 2025.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet RAG-driven multiple assertions generation with large language models.��������� �������� �����������, 30(4), 2025

Reference 22

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:2c89cc23ec9f397d35c31f7c14af4d1a7ef22b01c189e0356359a066f93ed9f9

Observation dce092d2-9b82-48dd-bf1f-cb9b04fb9ffb · outbound

This paper cites RepoAgent: An llm-powered open-source framework for repository-level code documentation generation,.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet RepoAgent: An llm-powered open-source framework for repository-level code documentation generation,

Reference 23

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Observation 78166d63-6a01-404e-a46a-45c9869de78c · outbound

This paper cites Testingthe effect of code documentation on large language model code understanding.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Testingthe effect of code documentation on large language model code understanding

Reference 25

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:46a5367373ca21b6ef115e890c3dd3b0ffe5d2960462e6a0ddc335bbbe019615

Observation 27776ec9-4fbb-4b74-addb-7a272901e421 · outbound

This paper cites Integrating graph retrieval augmented generation method with large language models to improve software requirement specification, 2024.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Integrating graph retrieval augmented generation method with large language models to improve software requirement specification, 2024

Reference 26

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Observation 9b2d8343-3951-458b-a310-f83102cdf315 · outbound

This paper cites Fidge, Rajkumar Buyya, and Alistair Barros.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Fidge, Rajkumar Buyya, and Alistair Barros

Reference 27

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Observation 9769cd14-4683-455c-abef-0b07683e2d55 · outbound

This paper cites ChatDev: Communicative agents for software development.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet ChatDev: Communicative agents for software development

Reference 28

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:306db9baf8528155d1efda7c445a1932c3f63ec635296591cdc66a1339474deb

Observation fafa4612-cf54-4bf6-992b-8666138722e6 · outbound

This paper cites XIS-Reverse: A model-driven reverse engineering approach for legacy information systems.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet XIS-Reverse: A model-driven reverse engineering approach for legacy information systems

Reference 29

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:4df14ce2948d4c13575132b066541e050d432548187c448a2a86d2d20ecfc7ff

Observation 99ef49e0-e10f-42db-bd63-c68ff8721a68 · outbound

This paper cites Robert, Ipek Ozkaya, and Douglas C.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Robert, Ipek Ozkaya, and Douglas C

Reference 30

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:d55882542644a94007cbe139406a67ca3685362f3c040b58e2885e822476c603

Observation defce9e4-a72c-4595-8c13-d24b528c4ce6 · outbound

This paper cites The future of ai-driven software engineering, 2024.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet The future of ai-driven software engineering, 2024

Reference 31

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:0d32096bec6d54e48a685d6267981d18cdd0ce22c7107c3a3e5d7cc4f4d2d06d

Observation 57d3108d-85d9-4702-8e15-1532a9161ee8 · outbound

This paper cites The impact of traceability on software maintenance and evolution: A mapping study.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet The impact of traceability on software maintenance and evolution: A mapping study

Reference 32

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:4454ca5b29db16480ff9c4e6afc22cc00ba07f2deaf21421444c6673c1a900d5

Observation afb2d7b9-9282-4a8a-bdb6-db7e5604f470 · outbound

This paper cites Software architecture in practice: Challenges and opportunities.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Software architecture in practice: Challenges and opportunities

Reference 33

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:7d7865b013716e7afacd864456296e10e7daead466cec23809a09cbb0be229bc

Observation 8776e1e7-e310-423f-9618-444346804021 · outbound

This paper cites Learning from failure: Integrating negative examples when fine-tuning large language models as agents,.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Learning from failure: Integrating negative examples when fine-tuning large language models as agents,

Reference 34

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:05547c7f80618bb0475348a0299e59bcb1b62f8fa74e4eb2a5d10f1c519c7a9f

Observation d64a87cb-cfda-4ee3-be24-b122c882ba35 · outbound

This paper cites an unresolved cited work.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Unresolved cited work

Reference 35

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:0901bba76a6b6bf98894a069f070e11190aafe75115266b121fbc1ccbc6dd8f0

Observation 94e22b44-b7ff-4deb-add4-46ca1304ca25 · outbound

This paper cites Advancements and challenges of large language model-based code generation and completion.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Advancements and challenges of large language model-based code generation and completion

Reference 36

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:71cc9577af61ab86c76b8c3177adc6ffdc765606c86785b9586e9e826989950d

Observation 3bb1fb70-6466-431d-bf63-f68eda590877 · outbound

This paper cites KerSpecGen: Co-piloting formal kernel specification synthesis with refined knowledge graphs and large lan- guage models.���� ���, 20(12):e0338821, 2025.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet KerSpecGen: Co-piloting formal kernel specification synthesis with refined knowledge graphs and large lan- guage models.���� ���, 20(12):e0338821, 2025

Reference 37

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:7899089e79a303d1f9d99762816752a4a2a9f82146fd27408b8aea709b5e308b

Observation 1dd4f666-a1b2-4637-b7d3-e16628052bc5 · outbound

This paper cites ProMeTA: A taxonomy for program metamodels in program reverse engineering.��������� �������� �����������, 23:2323–2358, 2018.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet ProMeTA: A taxonomy for program metamodels in program reverse engineering.��������� �������� �����������, 23:2323–2358, 2018

Reference 38

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Observation e80b8a5d-5c78-4e64-ba96-341f4f3cfc32 · outbound

This paper cites Prompt engineering with ai coding agents.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Prompt engineering with ai coding agents

Reference 39

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no resolver link, observed 2026-07-12T16:33:31.249105Z

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:6da180b19810d20fabf2207b21734707c41643e096b91b0cf3dea37187ac4e51

Observation 97e481d2-9949-436e-8576-f4bdf808c1d2 · outbound

This paper cites an unresolved cited work.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Unresolved cited work

Reference 40

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unresolved
no resolver link, observed 2026-07-12T16:33:31.249105Z

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:46b9e20bf26db0d2a6ae1cd304718ce129a6fd50d6af762d3ae6f1b0f498da59

Observation 699111c1-ede0-48a5-81a3-433c6ef3447f · outbound

This paper cites Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press

Reference 41

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unresolved
no resolver link, observed 2026-07-12T16:33:31.249105Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:076cc00cef7b5355c414946645843b5a4df8d1134a91d4e1b38ec19c0162d49b

Observation 34726241-9443-4bd5-8011-cd736fb7fd26 · outbound

This paper cites RepoCBench: A benchmark for c-oriented repository-level code generation with large language models and agents, 2025.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet RepoCBench: A benchmark for c-oriented repository-level code generation with large language models and agents, 2025

Reference 42

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no resolver link, observed 2026-07-12T16:33:31.249105Z

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:93b2fd36d61d0c3b33ca73e33287c2f3d5177123cf15ea30957af74bb9b62cf6

Observation c69ce851-570f-4605-8df2-33f1011467e3 · outbound

This paper cites A survey of large language models, 2023.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet A survey of large language models, 2023

Reference 43

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no resolver link, observed 2026-07-12T16:33:31.249105Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:9159ee2ccaf4224fb7e1c30f3fbff0adc3c969710ce95cf7ba101e688e4647e5

Observation 0f8ec079-76d6-48ab-ab86-cf3c1815bc6c · outbound

This paper cites A survey of large language models for code: Evolution, benchmarking, and future trends, 2023.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet A survey of large language models for code: Evolution, benchmarking, and future trends, 2023

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-12T16:33:31.249105Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:ccc770f30c6deaac05738e7f6d22b653134b0ac3529507d864485e37cd1c0360

Observation efa5f200-20d8-4589-a419-feb1df551418 · outbound

This paper cites an unresolved cited work.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-12T16:33:31.249105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:33:31.249105Z digest=sha256:0e2ba76912be0d96fafa6fbdb85babaec01f5bcf5f51e186983dac38ccb6e12c

Pith citing papers

No inbound Pith citation observations are available.