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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.608997Z digest=sha256:61513ed9ce6fd49a109ea386fe027cff410e6cced41bb3a2dcf199b21142be21

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.613464Z digest=sha256:bb45e18b47dfd545a19aac36d7acf5bf70328813ad27db193920c20650d884d4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.625392Z digest=sha256:78899fbf6836db04551b7e14805de8e1b2dfa1f400ad3e02de9640286e69e18c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.628743Z digest=sha256:e2f6d890eaef18d1eafa55dc7ff688057fe0ed2cf5c664c00fab204347e4830b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.635412Z digest=sha256:1de9103eff538762fbc62f4691fe7d5cf639f08c8869de19d4b3b948eae6c5ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.652216Z digest=sha256:b40fa670c62d55934bcef337c16fa998ed71db57285613498ab18614a0248e28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.655204Z digest=sha256:bd0ebfa292127d6ac529caacaf8a7d62b53985cf210b6628b4652f3bc4c329d4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.661817Z digest=sha256:24942c82943a68e0234068e86a88189a5f8c3bd27a72e5c118af75a60cb1e695

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.665199Z digest=sha256:3a0017d16f236cdee585ad4e005b1c84d5595afeb849ab814eb1fabeea7ddfbd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.668235Z digest=sha256:a7bce345b66120d95497095d832cb6ee1fa904c31086fbb742ae21265c4a2b1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.671223Z digest=sha256:0c8b6727000834f900862691055553e95f68446fda1eaac54af1039e7d715b5b

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:a1348bc47018fe2fbe038699d24b6c712655f71edfd42e35eb2ada6e0354df1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.680983Z digest=sha256:e50ed603fc8d2105dd6d7a5faf742f222941e31a8c76e2b303468b6f676c5bbe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.687322Z digest=sha256:388e626369558476978946284d1a1450b92d9f4da7a64f1462aa7c95b402e033

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:37.690391Z digest=sha256:cde910bf4ab3e6672a05ecbfc33f82d0193c48795d69187e0a10c47bfb4550c8

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.