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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.608997Z digest=sha256:32cba6c1831ab38576c126cbb8f017258e11431ac5fcdf0fe4d6098f35bd963b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.613464Z digest=sha256:0a3a88f6fb05998ea1401ab7e7f856218f3d901ae00c15373d9de5ea25efadb1

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=sha256:015da5967caa156ee8207be3183ec8baceb7f336726c8edc0df8f4a1b51042a4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.625392Z digest=sha256:9aa6761846cbe661d20a19135aa4e183f2729fa72b2de751614308c7b74de704

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.628743Z digest=sha256:9a73467513b38832434b689e2570c130931b4fc8f124aac96b993100f43c660d

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:b03f6156bd231c0601a1b370086d145ff606e86cca1055a9348adb58c2ab54b2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.635412Z digest=sha256:a291cc93ec2f95e2880781f374441bda371f9f88ead90a84a1f91b7312df76d6

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:c1e494f6a22b95df0af871ca6507cdaaa5af2ecdb8af2c2b97e2f1083d81f1e5

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:a5afa5d74f778200ca3dc9d1805aad054115c57c29f8e40e6cbbcdf66d244060

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=sha256:3d795b2804fc1514854a72c3f0e4b6ce62e8f49e486c49ba842a07cc8de28d14

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=sha256:97e02ed7b8fcf99a171d372560ed18af0855610cd96ca99b078eaf99a8088574

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.652216Z digest=sha256:87eded92ed12b11bcfae5c184650806af733a7947008a09d790a8af625948ba9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.655204Z digest=sha256:91c6c250860059590b4b6d92dd4f1a1d7c8cb327c63e7c6ec2e49ab043b7261a

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:a07dfa41d3813555cafa1b742ba86ebb8f59deaa3a34c4721d40a8f6ee4b11a7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.661817Z digest=sha256:5bb823b92673d7b6a27131ce6baae81074234d0b0f321178a3cdb68f2fec85d8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.665199Z digest=sha256:3326a6062c4c584a22519d50d6d2d30793373643a70c518ada7ce4906b7e98b0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.668235Z digest=sha256:598c5df164c8ea9fd09f9469813301e2eb8cc3d6d4d7aee1a061f5adbea1738f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.671223Z digest=sha256:15f1fc369c134730f76c97371b439e66e0ae5ac6557569e2c38124203c04aa64

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=sha256:5da63ae768d3483aba797579f7a53f388590dfe98aa621b2ee43ba9ed967baa4

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=sha256:9ed5b4dd4594b061d35c0eaf4250f74b0e7e78948bf15a8960022ef2644142d4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.680983Z digest=sha256:5b703c93891b410ca36f8ba0a8f38e90fa1700b91e5399c3f96d64d2411a89b4

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=sha256:925fc2739249aa20989ea8cd9ef6de93c5c4bfb02dea61b5134e1700525e7bab

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.687322Z digest=sha256:b6d9b41dffc3a3d9d29884f74ead2d3106f729b2506ba01a7bb71de3c4dfb59f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:32:37.690391Z digest=sha256:3cdab927724be1c585a9e38d21097c29f947e04b568937f0eb8b495902175e32

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:e530209085c8b4d13bf5cbb0e9e1ada1934c755b8fa2353096d6a9f774387184

Pith citing papers

No inbound Pith citation observations are available.