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Paper Citation Record · LEDGER

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights

As of 24 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.16037.

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

pith.paper-citation-record.v1
2507.16037 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:24:12.341569Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

51 of 51 outbound references displayed

  • verified exact4
  • verified fuzzy1
  • unresolved44
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dd08b71-4b9d-4366-b4cf-7de6cd3533c9 · outbound

This paper cites MinimalToDo: A minimalistic To-Do list application for Android.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights MinimalToDo: A minimalistic To-Do list application for Android

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:24:19.396236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:05.881836Z digest=sha256:ffb4174bdfebc62d4b29dd689061f7d5ec5fb8b11ecad2e377318cdd61b344f7

Observation af72553a-fb38-4da1-9249-4c76ae0548f6 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:19.160977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:05.975695Z digest=sha256:979b8ea7b78b037951c3c3e87f1a7b6b483eb130e6f0e2f91414eecce2688251

Observation 5ac49517-6c12-4fee-a702-31b79c49592e · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:18.932323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:06.121630Z digest=sha256:6fb08c8268eceba8b3939fcd36da59431cdaa48a9a6716e7c0f9e725d027bcd1

Observation 7f1dd5cc-e419-49ff-905e-3c9da3c798ae · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:06.263115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:06.263115Z digest=sha256:a03379b0876afc9b2ce7162df6a0024a067fc848272bf2facb97945575c53476

Observation 0a1fe687-158f-49b5-b540-2cf024b9775a · outbound

This paper cites Barr, Premkumar Devanbu, and Charles Sutton.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Barr, Premkumar Devanbu, and Charles Sutton

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:06.434358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:06.434358Z digest=sha256:0f0bb8f958f0a4fb71fd5653e333803d7f5b773a44c7cee1fe30e756f843db57

Observation 47665e6d-1897-4934-ae2d-c9e633defe09 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:18.701665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:06.528644Z digest=sha256:91befc36710af1a8e7311dfdbe905902ff5fa6b86de5c1bb4d309209509eb8a7

Observation 3d3077f7-72fa-4440-b3ec-477749b482d9 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:18.469652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:06.672825Z digest=sha256:e4c5d9f1173c1d8b1e268d897020a542092bffcfb1f89d6d831a61e7eb996591

Observation e10954b4-e3a5-444f-bb44-a59b1aaef880 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Evaluating Large Language Models Trained on Code

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:06.828887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:06.828887Z digest=sha256:a9354b8a907e568107b712a4cff9fa687840cd4ec88b3e9986918969fde781f5

Observation df435f6f-0cc5-4cd1-964e-dfb78a1e4f10 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:18.255979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:07.004914Z digest=sha256:804bdf0508961a73cec0e6b4a203107a6fa6b14ad130cea5c24d1a5a41a31a58

Observation 6ee5a23f-031e-46e4-9829-22731968add2 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:18.018792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:07.118037Z digest=sha256:25b1adde036c6aea30451ceeee66504e6a3c77a54156d80948add7c6c5722ea8

Observation 35ebc0a1-e9d8-4782-be3b-fc25d49b5e7e · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 11

Resolution
verified exact
doi, observed 2026-08-06T15:24:12.597473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:07.258360Z digest=sha256:65985b7810ebaf77bb9142038fcd881e85d31c1de86546a5b69cde7cf9d3f439

Observation a3e7020e-bb3b-4f82-98c3-2a2f39eb7533 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:17.805239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:07.440393Z digest=sha256:24f6ec2ad2e3ed2ed5ac868c91de72a91c97150d8437150de868979dbb25e97f

Observation 12e17340-7d7b-4ac8-9a78-8687d3f5b442 · outbound

This paper cites AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:07.557123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:07.557123Z digest=sha256:8eefddadf30db40a49db6aecc4f703065a636effc314000af1553f2aa66601f2

Observation c4360042-0a27-4281-9960-c5d8ad58e1a5 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 14

Resolution
verified exact
raw_fallback, observed 2026-08-06T15:24:14.246206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:07.713679Z digest=sha256:3a46fe6938cedbf973c9834985e073fcd41334967011b82e5b6186314f9c9675

Observation c972624e-3310-44ac-93ef-08b5b71e5f78 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:17.529766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:07.846345Z digest=sha256:566eebcc8934d0027ce40a47766ace737c49c37a756c357268733b735cc04d41

Observation 9bec927f-8960-4be7-994e-c6f78a77419c · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:17.223715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:07.974591Z digest=sha256:e0058d99419960316933d3f15dd756548c5f3f8b1c67dea414d027564c5b87c2

Observation fdf2d820-188c-43b7-a6d2-c0f4e23e83a3 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 17

Resolution
verified exact
raw_fallback, observed 2026-08-06T15:24:13.904720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:08.088735Z digest=sha256:7e19e39ede29e547aced7855681b4e2f0012a611660baf0dfcb0afb052381df8

Observation d0545eab-c873-4f5e-b61d-9eb22d1f2b4a · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:08.230220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:08.230220Z digest=sha256:17f55b5007ce72ab376895822dd771a0ca5f0457cb03334a0fc6bc67f5c43eda

Observation addda32b-f32d-407c-9c90-70be544130b5 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 19

Resolution
malformed identifier
no resolver link, observed 2026-08-06T15:24:08.354408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:08.354408Z digest=sha256:52a7483fa67ff8d295cfdc671388eb2a0e6ad5c00d62288765b93b212f1116ba

Observation 1453d2c6-a8e7-43b3-b1a9-024d94c32595 · outbound

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

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Large Language Model-Based Agents for Software Engineering: A Survey

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:08.448020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:08.448020Z digest=sha256:50706ad56ded1cf8c79a54beff68d7ab1d4081fe79225d48d8c24780c30f9fec

Observation c7587c3a-5e10-4f7d-9ce0-674fc0c676c1 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:08.593585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:08.593585Z digest=sha256:c50dd7bbefc0afc16d8068244aa307b3bcd4f540fc94d6ee56a5b09b85e6c9d9

Observation b56d8cc8-868c-4dd8-9e1d-f94a4548d3aa · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:16.988463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:08.735539Z digest=sha256:a138c3b41d10f2a8cf25b4acc7496951b1811f94b7c9b73325fab911b79073e3

Observation eb90756c-25dc-4eaa-9825-4895aa8d43e8 · outbound

This paper cites GPT-4 Technical Report.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights GPT-4 Technical Report

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:08.857277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:08.857277Z digest=sha256:55536f6b038eb7c7ed0ae6f631f93b7006365d070c3847bdabe1fac698094a0d

Observation 44a7a9a7-ca46-4071-a451-cb45a9e8ff1d · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:16.734585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:08.975522Z digest=sha256:9fdb692971e49a02c7eb294b8949082850e647d26b4945ca35eecb9df18dd234

Observation 75f20f71-4340-44da-9f8b-43a818b4932b · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:16.484246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:09.092871Z digest=sha256:40cb57763f98d515d062d29aa5c7df8eb49dd080d6a0dd177d537f8ef75f3162

Observation a57806cf-519e-45e0-b21a-811e01680245 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:16.252639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:09.228320Z digest=sha256:9e71a6c6e1303545c31d1103bedd8619a7072946114cb1647cfa7cb950637017

Observation 8d1722e0-4676-4a92-b326-1fac8468357d · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:15.981825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:09.373134Z digest=sha256:13f572f531888ec8344f04f5c94d25fe4d366633d2cd48b2af3b4269300eca47

Observation 5e7dffc2-a384-41bb-8a9c-448fcf76b2fb · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights ChatDev: Communicative Agents for Software Development

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:09.492648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:09.492648Z digest=sha256:8e8a0e5ca6498a68eba756e61f0bb4b0af4ce7b9b7d0bf57a678dafc84a6ce71

Observation 1ea2b64d-0f3b-4739-80b3-ee4fcca011ed · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:15.721868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:09.605049Z digest=sha256:2f98bfea92f54f325adb4767ad8f67fc341c016b0dd672c09a6e4ed9188b4a05

Observation fb893f2a-b1b5-4f26-ab6e-345c74a338ca · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:15.515914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:09.873631Z digest=sha256:cf58886196fbbff5fff91072eb6ba86bab037b3e2b2ce019c551a550dade41bd

Observation 1277d681-1aa8-459d-a2c0-e3d94a33033f · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:09.989355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:09.989355Z digest=sha256:eebb5e4b4248a222133214a7d1ffb72848cd9a6799aa47706156969a0fee87bb

Observation 5ba74d98-b7cd-46ba-bac8-94ebe8f92c7c · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:10.135252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:10.135252Z digest=sha256:73e4c96f613d58695023d858738f80e4c9ad42c414085eba32127c6d65288fda

Observation b67ef6ff-68e2-4c9f-91cf-e50fb7c8d2e7 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:15.295755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:10.298461Z digest=sha256:529075352ca7c0f8cd2f569029b2783fd8d6178ec13278018b375de0c3d6047f

Observation 6ceda453-f1cf-4e00-a86d-616444ca71f2 · outbound

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

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Specification-Driven Code Translation Powered by Large Language Models: How Far Are We?

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:10.446923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:10.446923Z digest=sha256:3df68da8bb35b9ea5784e64c043b4524d59999f3ec3e44bad38f7d2fd79237c2

Observation ca1eeb6f-f07c-4d44-9063-e2dcf5d27b27 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:10.570681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:10.570681Z digest=sha256:0d19e423dbd12fd84883c53b686cc4a7a4fc51c09da86b84a4a0038bc83eec6e

Observation 37ba835b-a86c-49ba-87c7-e1b1a02f7947 · outbound

This paper cites Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:10.695958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:10.695958Z digest=sha256:143a6e628895509859ad3ad192133f5f5a9d81387167750b4fb05bfdcfc92945

Observation 2fcb35b6-a732-4ae5-9f50-39b2cc63820d · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:15.012383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:10.801038Z digest=sha256:08204ba6dcc3eafc0cd1cdd988e5ee2308723abb3974ce44026642acedc8dd11

Observation d1163621-7ad6-401e-b874-4f8e229159c6 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:10.947543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:10.947543Z digest=sha256:382409904c8d935d15e85397525bf8cd999def5e60504d72edfb5259454f88f0

Observation ebe80647-eac7-491a-86af-68940c86e619 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:14.792345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:11.075969Z digest=sha256:7c4da06825a4943377932c3d6f502aa45043dfd8cc8f929ac2bb3a897477d593

Observation 29d5dcec-1557-4766-b8db-24fdcb8c4c45 · outbound

This paper cites Attention Is All You Need.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Attention Is All You Need

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:11.196459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:11.196459Z digest=sha256:73e7068b0293748f97040147cbf9e7b01a83e401424b7f27a8347f6975f2952d

Observation 7342fb69-da46-477a-ba31-6a96f577ef68 · outbound

This paper cites MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:11.298943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:11.298943Z digest=sha256:9b076695bdfe8d48a4ded01b10be03db8a0587d15107d4e3677410e3f5b77df9

Observation b3a8d99f-8ab7-4dae-9285-651c0ba535d2 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:11.401550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:11.401550Z digest=sha256:d8d80317fddae36386970b970fd5baaa2689f235cfa589301c1f1c3b8b46fdca

Observation e15a49df-1b91-41be-ab5a-2ef57c2fb99a · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 43

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:24:13.229887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:11.522880Z digest=sha256:dfcbdd48d5899cbed6a4fabae6b40174baef559928b1bdb84d58b734a586ae5d

Observation fc4faf2f-8c2f-4cfc-ae74-b9ce957fb09e · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:11.618463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:11.618463Z digest=sha256:fde79130905d5898f1e8711963e54740a31d198e10dcdd58e74f073ed4229e1a

Observation 4340a95b-b280-458d-96b0-01614cd6f828 · outbound

This paper cites an unresolved cited work.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:24:14.573563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:11.723910Z digest=sha256:bbdceed001d2cd90c8b9c2d93dfbcb015629f0f8a177f76889f03ca3066f5525

Observation 9490252b-6e80-4e16-b48a-9724cabfd4e7 · outbound

This paper cites CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:11.844992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:11.844992Z digest=sha256:75f71b4a9b7d0d722ff402b11f7a31a83fe638fa723eba3b2abcd94c63bab0f6

Observation e6632f29-6c56-4bac-a6eb-95bb52da3daf · outbound

This paper cites TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:11.982710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:11.982710Z digest=sha256:53c1d3d8914cafa2490a8f00edf73172c16b235495d51ce33d8b3cadb024bf79

Observation 32af78c3-c856-4c88-bf92-6733a830600d · outbound

This paper cites AppAgent: Multimodal Agents as Smartphone Users.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights AppAgent: Multimodal Agents as Smartphone Users

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:12.128298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:12.128298Z digest=sha256:61ff9081cbe8df34d35b7104769130cfc8632e789cc024f0f89889ff6d8c1825

Observation 7408724b-6330-41e9-8b8e-4fedd29e1a0b · outbound

This paper cites Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:24:12.891991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:24:12.230858Z digest=sha256:6870409c312b3f0e09944e986bd222b2a5530efa8040b90c5bd864a0fc51b69f

Observation 0802ceaa-a4b4-4b8b-ba24-b1623a418237 · outbound

This paper cites Overspinning a rotating black hole in semiclassical gravity with type-A trace anomaly.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Overspinning a rotating black hole in semiclassical gravity with type-A trace anomaly

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:12.341569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:12.341569Z digest=sha256:7c415607e6d32d969ff06ac427d360fcaf7903ed300907b72f32c8e20c867017

Observation 765f7a1b-af90-4df8-950d-a93555aa4964 · outbound

This paper cites Large Language Models for Code Generation: The Practitioners Perspective.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights Large Language Models for Code Generation: The Practitioners Perspective

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:09.726168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:09.726168Z digest=sha256:2df948d24ecc1ab8a3e461a8cc76d0b3a3fc6fd85143f1284c7966593ed6f6f8

Pith citing papers

No inbound Pith citation observations are available.