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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.608997Z digest=sha256:e6d105bb73c9a32910ad2ca1af40a86814747295b4d3f6af845ed63c4a874307

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.613464Z digest=sha256:5440d6c22bb03e54e096dddf050d693e799cb4047dcfec091e3120712ed9b676

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=sha256:409d334f11ec5a0407baf82178e23c606e45447c085302dd5e34656827d3b658

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.625392Z digest=sha256:d9cf05a75ab9e4419d4bf803d01c6154e1d5c9be3c37eb24416d17b56b6b99a4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.628743Z digest=sha256:eb4912690372b0b38c486502c651c0e90ee9afae67ab2039c8d5184679155561

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.635412Z digest=sha256:a4cf86c1d4ac358e8e1bf0b0788a13696f7a6921425d7d6e5d5029373f110404

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.652216Z digest=sha256:389ad802919c434fe9f9d2b8bba3b898ce627f45c76cbe57ff5363a747376145

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.655204Z digest=sha256:b6f0acbbec5aa219a124b58d908c516a93667ba21521e0d88a8b53ec8a4af2f1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.661817Z digest=sha256:98a900139b6eeb094b719448c32c59a46aff96d7d5f5e7020e04911b9daa33a5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.665199Z digest=sha256:e23a50c123b4fcceff3993bcd3466a1a98de01265fcf16329168f867f2b76f7e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.668235Z digest=sha256:874cc0037ebd8a4e9745b745c6ba78b9994bd1e7125bf1d349fc2cf82a176776

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.671223Z digest=sha256:49ca07a763f6f22b44c016c7021fd4fb23771d4b72788cd5e34de7402068a6eb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.680983Z digest=sha256:44414665296147d1148468ba28d2c793002533a0fcf57e8ba29e7a2d0ae7a606

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.687322Z digest=sha256:7a7a1cd9a9541a2de15fae77a84f4a304e5e774c76705f2dff274009ecc53f74

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:32:37.690391Z digest=sha256:b9cd81e9c56e6b15c3b6766a6dbe90d2dc4c313a24f232b60182d026febc1757

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.