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Paper Citation Record · LEDGER

Investigating Training Data Detection in AI Coders

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2507.17389.

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

pith.paper-citation-record.v1
2507.17389 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:51:53.845119Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:11:19.672753Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T13:11:21.271928Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved29
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6a24efa-1ea7-43df-a269-441e5ebc5dd1 · outbound

This paper cites Our Website.

Investigating Training Data Detection in AI Coders Our Website

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:54.479939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.741925Z digest=sha256:36bf39f6748ba8619b8af68c7a3ce6c7d712689cf3c357a47ed6f1f4004e2350

Observation c73661f8-9c62-4e94-bcc6-3b6976bca2fa · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-06T14:51:54.470730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.745825Z digest=sha256:dfa8a41d3cc2ec25b3285ebb5ed964160db9f74fa1e9d232ca609646137b4313

Observation 4d9c0795-f1f6-4e8c-9f5c-a5f5e66d4e26 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.752764Z digest=sha256:2a6d74e2fc3e29441349f7d1e0b5aa4194b23a6d79ff12858a1746d6abc1c0b8

Observation c448c9b9-b6db-42c5-87c6-17eefbc5d2f0 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-06T14:51:53.755745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.755745Z digest=sha256:76e8d5b15594f3b6bf8b4605f20b47049a555ccf53986e3d7e495110295538f2

Observation 37aaf90c-8c02-410e-b8ce-61c6287843ef · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Investigating Training Data Detection in AI Coders CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 5

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no resolver link, observed 2026-08-06T14:51:53.759459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.759459Z digest=sha256:f026859344e0f0b5be8188a1311afc7eb30bf49f420230db1b283fbc5b51e543

Observation 0f4fe14c-8d93-4ace-b3db-11a2961bd6cd · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Investigating Training Data Detection in AI Coders DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 6

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no resolver link, observed 2026-08-06T14:51:53.762906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.762906Z digest=sha256:ec271d9cf011d5a7549a9932c768e25e475bba757d8aa967a97e3fcc4f455708

Observation 810c921e-efe7-4853-9a5f-191cf81cafd4 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-06T14:51:54.447111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.766324Z digest=sha256:1365e34e78a8a5153acc5b7ca3f49c9f924dc1b41345bdb73d1077a061f09459

Observation ede787cc-e818-4db0-be20-9d383381e5f6 · outbound

This paper cites Investigating Data Contamination for Pre-training Language Models.

Investigating Training Data Detection in AI Coders Investigating Data Contamination for Pre-training Language Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.769972Z digest=sha256:ae87d914d1b96793996bcb3f8c65d789f48326b1d13b4868b983821f81334bcc

Observation fccd12f1-fb4d-47ae-87c2-54e179faec2c · outbound

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

Investigating Training Data Detection in AI Coders The Stack: 3 TB of permissively licensed source code

Reference 9

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no resolver link, observed 2026-08-06T14:51:53.773724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.773724Z digest=sha256:82e1b75bae506ef3c4e98b35c97a24a7454dcd10c116b5d6f12466bf7739354e

Observation a0e8f2d8-3747-44e8-9cc9-cb061543db1d · outbound

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

Investigating Training Data Detection in AI Coders StarCoder: may the source be with you!

Reference 10

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no resolver link, observed 2026-08-06T14:51:53.777247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.777247Z digest=sha256:57addca44da74e595c1983e0b06a2df03dc7b85bb2f98b54a706dc62dd922c4d

Observation b6645eef-b547-47c8-b7ee-2e9e6f2315b6 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.780878Z digest=sha256:73b60d773d36b1b0e3fdbf143bfd9acb0cf9a25d62dd1431f4bd40a104f11013

Observation 5033f586-a176-4f67-ab6b-e7c12760a395 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Investigating Training Data Detection in AI Coders Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 12

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no resolver link, observed 2026-08-06T14:51:53.788650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.788650Z digest=sha256:bba17bf6970087522e15bd27ab1ce2c0d156761925f5ce68f737d37dfa407f9b

Observation 95147091-839a-4949-8508-5ce9011bf053 · outbound

This paper cites Probing Language Models for Pre-training Data Detection.

Investigating Training Data Detection in AI Coders Probing Language Models for Pre-training Data Detection

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:51:54.331327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.791821Z digest=sha256:4b7313fb45d7b97f244eade85fd249ad0abed0ab73f8ac44ac7ba45990f35a71

Observation 8a96d7ea-d638-423b-8293-1801ee533ca7 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:51:54.429453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.795171Z digest=sha256:237d402c7b7cc872c71ea662ccf146da5c540dad48b1d7800fd83c0c6a927872

Observation 59fa5440-5692-430b-8751-e1166635ebbd · outbound

This paper cites Membership Inference Attacks against Language Models via Neighbourhood Comparison.

Investigating Training Data Detection in AI Coders Membership Inference Attacks against Language Models via Neighbourhood Comparison

Reference 15

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no resolver link, observed 2026-08-06T14:51:53.798105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.798105Z digest=sha256:64b0b860a435f0bfb747f26324e87c64bb993bf703d8540e854a8a3079ee469a

Observation 2c80d530-4f68-4340-b50a-80800b5b721a · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Investigating Training Data Detection in AI Coders Code Llama: Open Foundation Models for Code

Reference 16

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no resolver link, observed 2026-08-06T14:51:53.801198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.801198Z digest=sha256:7a6091a1b0b32cd904299076755d2b3250ca31bba99fcef3ae6e80a250fa817c

Observation 04eebe5c-2eec-4006-8416-3f67ee1de8c4 · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

Investigating Training Data Detection in AI Coders Detecting Pretraining Data from Large Language Models

Reference 17

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no resolver link, observed 2026-08-06T14:51:53.804502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.804502Z digest=sha256:b8ed4b0a8c1cba176500102f58d004322aa83913a60719e3cf5214d3a2bef121

Observation ae33e463-189b-4021-b2b5-d7cc6d610b5f · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 18

Resolution
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raw_fallback, observed 2026-08-06T14:51:54.420931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.807721Z digest=sha256:b6d007795d7b2a077ff3b191d226d3770a82077fc4dfc274b840d8e0d4a64417

Observation c6b115c7-78a4-43a9-8ecc-0b6df4fcc44c · outbound

This paper cites Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.

Investigating Training Data Detection in AI Coders Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:51:54.281288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.813785Z digest=sha256:aba44d59bd45323b9867d4b36fed50eb0e990a989ce082471e75109f67c477cf

Observation 837f54cd-59ec-404c-b565-70e5a1390271 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-06T14:51:53.816548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.816548Z digest=sha256:3a256218ef6c2a6243abd26fb2cca8c548cf4782dc508f1cef6b15e75a982156

Observation 24eaa48e-dd42-48b2-933e-91cf64caf487 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 21

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malformed identifier
raw_fallback, observed 2026-08-06T14:51:54.176637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.819039Z digest=sha256:1c73f85d73249d4b495aeeba2b73433f287bd1f3e8b46456a3e634e31d942d99

Observation 008b70ac-fbdb-4243-988d-720a4f2dd332 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-06T14:51:53.821665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.821665Z digest=sha256:4cf2dcae950ea81c22f43d0e4a78efc0d438fca685bc3eaa50539f7d7a050265

Observation 873b7cc3-6e85-486b-92bc-27ca22915f8c · outbound

This paper cites ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods.

Investigating Training Data Detection in AI Coders ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods

Reference 23

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no resolver link, observed 2026-08-06T14:51:53.824160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.824160Z digest=sha256:17289d2e7d6fe86c5c1017ac7d4bce5e07a0c3feb20b4ace48e81eb72a62b5ff

Observation a356e882-72bc-4a2a-82e4-b9caedb35f36 · outbound

This paper cites ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models.

Investigating Training Data Detection in AI Coders ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models

Reference 24

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no resolver link, observed 2026-08-06T14:51:53.826996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.826996Z digest=sha256:c6412adfa0c4dbcd2e2bf2afda383368eb5210ce188e79ac5163f7f920483ef9

Observation 63bfba6d-9f5b-4859-9376-67809182c415 · outbound

This paper cites Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models.

Investigating Training Data Detection in AI Coders Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models

Reference 25

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no resolver link, observed 2026-08-06T14:51:53.830175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.830175Z digest=sha256:f1234098f8cf29f67fd1cc77d5dcd4782e7e3f3a73f4215f3dbe5201f600172e

Observation b64fef41-badf-4003-9549-7af22b4c00eb · outbound

This paper cites Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting.

Investigating Training Data Detection in AI Coders Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

Reference 26

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no resolver link, observed 2026-08-06T14:51:53.833356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.833356Z digest=sha256:fac7366d86f028c1bf5170c7785ada16b2c4c746ef016ff79b5d87d3c3613df0

Observation 93196f24-36f7-4bf2-956d-6d78bc7cbead · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-06T14:51:54.412195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.836317Z digest=sha256:6f56d659a04d87167d21e71d69517b7ccad3b6c00c61d711f970b9e58e89747a

Observation 34c00687-a372-46be-8ae7-bcb5347cb0e3 · outbound

This paper cites Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.

Investigating Training Data Detection in AI Coders Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 28

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no resolver link, observed 2026-08-06T14:51:53.839169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.839169Z digest=sha256:ea102409f6b50aa446b379b73fc17177109511c687f38680f230d8ef2a5cce5a

Observation 0c9fe411-2662-481b-93c3-b9dc6923b109 · outbound

This paper cites an unresolved cited work.

Investigating Training Data Detection in AI Coders Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-06T14:51:54.403659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:51:53.842231Z digest=sha256:9f180576ea694881c88828a35336847ec7523580ee8cf0a29ea0c1b1a232795b

Observation 7fc4b8d2-cf88-4f0a-b520-a16a19c6c187 · outbound

This paper cites Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method.

Investigating Training Data Detection in AI Coders Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Reference 30

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no resolver link, observed 2026-08-06T14:51:53.845119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.845119Z digest=sha256:00a36e969c76beec37f0f911783c70bf1ae21034dfa92aab05615a590a6eab50

Observation 99d9071b-1bed-4162-bcb0-e6a9c06314c5 · outbound

This paper cites Membership Inference Attacks against Machine Learning Models.

Investigating Training Data Detection in AI Coders Membership Inference Attacks against Machine Learning Models

Reference 2017

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unresolved
no resolver link, observed 2026-08-06T14:51:53.810911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.810911Z digest=sha256:b2f90c39e08386d4d7b46e68d00b0e5ad7cf77e7d1b435d6ffc002322a123619

Observation 46061606-9455-48cf-a707-f6350f14070f · outbound

This paper cites SantaCoder: don't reach for the stars!.

Investigating Training Data Detection in AI Coders SantaCoder: don't reach for the stars!

Reference 2023

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no resolver link, observed 2026-08-06T14:51:53.749336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.749336Z digest=sha256:14351908b82b1135c0c7cefce180c4f3cbfa0da4e51ec3c84b17df332d1496d1

Observation 71476e70-499a-4fa5-87a2-841cdf8965a7 · outbound

This paper cites Purifying Large Language Models by Ensembling a Small Language Model.

Investigating Training Data Detection in AI Coders Purifying Large Language Models by Ensembling a Small Language Model

Reference 2024

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unresolved
no resolver link, observed 2026-08-06T14:51:53.784719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.784719Z digest=sha256:3888ca9453641719e4038d5ccd08494e48395b609975691b15338f09dd08f87d

Pith citing papers

Observation 48071e04-609d-4a73-a225-e755b3a4520a · inbound

CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation cites this paper.

CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation Investigating Training Data Detection in AI Coders

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:21.336531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:11:19.672753Z digest=sha256:2427aac6bc3f450c338fe00d8943c8e72d1f4a93d2c2b84b53005856f85943fa