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Paper Citation Record · LEDGER

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing

As of 7 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2507.15599.

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

pith.paper-citation-record.v1
2507.15599 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:37.690391Z

measured 25 of 25 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

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fc1f250-1f46-445d-aa68-b10b25908dc7 · outbound

This paper cites I don't want to say anything but that's not the right license Mr Copilot.,.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing I don't want to say anything but that's not the right license Mr Copilot.,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:38.061324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.608997Z digest=sha256:c680de58057d5af1783d966a93aae871bd732636784ac5a1a517716f27f4f704

Observation e7b5d094-5400-461a-8846-ed0a4d70416f · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing StarCoder 2 and The Stack v2: The Next Generation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:38.051695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.613464Z digest=sha256:c9d34fabdbffd387401db92d8051969e5753e55a85718222e96006187d9b7bf3

Observation a053d2ff-e53b-429e-9d1e-6fcea5475191 · outbound

This paper cites The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.621215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.621215Z digest=sha256:644ec9ae9c1b52c4517e4651f166404424632cd13759f931e2a1239ee8798625

Observation ac41aec3-d4cb-42ac-a84b-1a159c26fe24 · outbound

This paper cites Reverse-Engineering.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Reverse-Engineering

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-06T15:32:37.926471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.625392Z digest=sha256:64e51f4a1c759b3261e0aa2f452d163f0c5be6a41eac28a39de846e4c0c4610a

Observation 9b799bce-eee4-4df6-b324-a34dd3833853 · outbound

This paper cites Separating code reasoning and editing,.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Separating code reasoning and editing,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:38.041970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.628743Z digest=sha256:692c529df0c7a88c1cb26adb8ec3d9db5a1ef6f8d689aa567c9bcb956f527de2

Observation 299f92b8-a0ba-4201-a9a2-09862e57d314 · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.631993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.631993Z digest=sha256:131b8268ee1e8aa12cbf5f0ab4de7ea9e55b83d80c4b79b910c1320b9b227157

Observation 7f9d2e62-b837-485e-bfdc-e0759a9e0607 · outbound

This paper cites whsinth/comma-v0.1-1t-bnb-8b.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing whsinth/comma-v0.1-1t-bnb-8b

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:38.032862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.635412Z digest=sha256:1d2ac6ac1814188e1f253a85c730a7d6b107ff36e157d1b6bf7f94898558cb5e

Observation be69e00f-957b-41b7-ae7c-3e409ec584f6 · outbound

This paper cites SelfCodeAlign: Self-Alignment for Code Generation.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing SelfCodeAlign: Self-Alignment for Code Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.638825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.638825Z digest=sha256:f3cf9390cbe780a91c3bea0222d60d7117e337678343bfbd4051cbe0d7dc9627

Observation c8afd8b5-2e9a-49c2-88c2-d5076e3c80de · outbound

This paper cites The Stack: 3 TB of permissively licensed source code.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing The Stack: 3 TB of permissively licensed source code

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.642253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.642253Z digest=sha256:5e58710118a4b0eed60c271878b6bf7a0d810082d91ea035053f61e9133d158d

Observation 7b3995a2-32f9-4017-9b00-b1b4753729e7 · outbound

This paper cites Phi-4 Technical Report.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Phi-4 Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.645714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.645714Z digest=sha256:08939d00da24ffc828ee71b30b301c11481ea9501af5a3e1128025d89bf76277

Observation f76f196c-06ee-4e62-aefa-58e709ca6bf1 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.648628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.648628Z digest=sha256:4cf4eb36dad224844617e223af925920ee1d591f6a036635db9b8d68c14da4b7

Observation bbce09d8-23fc-47f2-8e7d-daddd5e01434 · outbound

This paper cites Aider polyglot coding leaderboard.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Aider polyglot coding leaderboard

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:38.023311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.652216Z digest=sha256:8c38c3ae2a59117cbcf70eb1a80e55140095b20293c91a4813e744cbbb18e78e

Observation ddab3099-d1b6-449e-a857-7299de64287a · outbound

This paper cites WebDev Arena,.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing WebDev Arena,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:38.012379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.655204Z digest=sha256:44923a6605318745db6bb96dbcfd92430009f3d5b5a2a13e118a74a6086b1a65

Observation 77e5178f-06a5-4860-9731-2d1cfd8eacce · outbound

This paper cites Zephyr: Direct Distillation of LM Alignment.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Zephyr: Direct Distillation of LM Alignment

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.658572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.658572Z digest=sha256:96b31d8b9a95e9d5fb7674b5ae965846f9abb1993f3ab7090f0aa9399901c3ff

Observation e855c92e-4058-47db-b04c-072f9389244e · outbound

This paper cites Terms of Use,.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Terms of Use,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:38.002106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.661817Z digest=sha256:dfb0de281802d184175f8906a8b5e443172e85c5d71358d30fc3997b23c63d35

Observation 53abccb6-28c4-46b1-b31c-17d7b9c28129 · outbound

This paper cites GitHub, Inc.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing GitHub, Inc

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:37.991806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.665199Z digest=sha256:f94bb271b19d9091aaa154a4cd9619966aca965117b4db3f2fd745d95d500546

Observation 68e3bd92-130a-4e03-83b5-7e5c12180b58 · outbound

This paper cites Microsoft Corporation.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Microsoft Corporation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:37.981148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.668235Z digest=sha256:dd7f65f53c9c97d6735cb9550522a93acaa1c43264db0b64a9b28ae769548ce8

Observation de37e0c5-e70e-4872-a522-ae14906c1962 · outbound

This paper cites OpenAI Inc.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing OpenAI Inc

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:37.970107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.671223Z digest=sha256:20582511ca44bfc2c191c01152759eecc297b2424d62ea60d8540fc33d46c021

Observation 7502a738-afd8-4de6-b0b5-d2ab698764fb · outbound

This paper cites OctoPack: Instruction Tuning Code Large Language Models.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing OctoPack: Instruction Tuning Code Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.673877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.673877Z digest=sha256:6020648e3652114b37b9fb2d2f6d62366e3ef60c7bc7388340078dae4494c41c

Observation 20f8fbe5-4a60-407b-93fc-cec86d37d763 · outbound

This paper cites StarCoder: may the source be with you!.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing StarCoder: may the source be with you!

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.677757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.677757Z digest=sha256:2b951d1a5c93ce7ee020078677b8f5eb438ea0019defe23a5863e53ad4ffe67e

Observation 544f6bd5-fa39-4787-844f-01649758164a · outbound

This paper cites They Said It Couldn’t Be Done.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing They Said It Couldn’t Be Done

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:37.959768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.680983Z digest=sha256:f150af1f9536015dff44ac1d80c726dae92007fa3c3a9b2e37a8bd74ca74f623

Observation 6a0c38e0-0835-4393-97bc-04f70e1426a7 · outbound

This paper cites Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.683819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.683819Z digest=sha256:1d6e624886c0579d2b429f773692636f3134046e6c6eed05e41883ff38ab9a09

Observation 0b0be5e0-dc33-4cf4-96dd-bd7158c2cd2d · outbound

This paper cites Quake III Arena's code/game/q_math.c.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Quake III Arena's code/game/q_math.c

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:37.950051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.687322Z digest=sha256:77a7c8dc8b5e8f145ec0b10febca3c64de332a0f9562a7bc2110f23e8c7c2e5c

Observation ec965289-5dd1-4794-95be-fe6d2ed50eb3 · outbound

This paper cites GPT-4o mini: advancing cost-efficient intelligence,.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing GPT-4o mini: advancing cost-efficient intelligence,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:37.940153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:37.690391Z digest=sha256:d852a10203d6e0d71cf335c66d99edb26350d232cc50a035ffa634c29f92e341

Observation 6dfee0bf-0b19-4ec4-9cb9-cf552f182a37 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing StarCoder 2 and The Stack v2: The Next Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.616832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.616832Z digest=sha256:06c092938a153bec844e76c24b219d4521022916e455a8e5b8e104acd81e4c75

Pith citing papers

No inbound Pith citation observations are available.