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Paper Citation Record · LEDGER

Investigating Training Data Detection in AI Coders

As of 7 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 2026-08-07T06:34:17.273281+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

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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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.745825Z digest=sha256:daafd53abe102b33ec88c378ada03a37a4e9b525217b4db9a5c35322cc369d24

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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raw_fallback, observed 2026-08-06T14:51:54.461178Z

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=2026-08-06T14:51:53.752764Z digest=sha256:8de16f8f19c0dc4cc9ba484f05ccb8a52f373dfa2f400096a65ad2e0aa51a884

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:d38158ae654bcd21f1f38cdb2c2237c308342e23c6479b907f4fffde10f31c03

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:c1615466be5cde0366efe1a016accdbcc19f685e2c51fa948dc0aec6d1873450

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:a8cb5da6fd9cfc0e1d342ae66a68b24c231b1d894c03131b0e739cd69c686bfb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.766324Z digest=sha256:3296728cef038740ea4332fee8b4e6e55461fd64cbd89f5cca1388f30c4c3ca1

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:b14be014cbccef7365d17ca71202a9759c83d9e282f47213d06dd2f551ae490b

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:c9f9d3e19aa1f4a17857273437a743f1ccd58f5260974c9051bea76d95b36178

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:d6fd4772be2984351b4aa424356b630201cac74557e873aaff5749cd7a59963a

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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raw_fallback, observed 2026-08-06T14:51:54.438021Z

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=2026-08-06T14:51:53.780878Z digest=sha256:7c444218b92619b579fab5e639deb1e0bf5c1d5f8ac5f9640150d4a33ef1863e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.788650Z digest=sha256:2beaa87037db879f7827b2fb5d35d0c26525b9552a8647710267f8b36bc275f8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.791821Z digest=sha256:1b26aa0e23f1e8369d433e63f45540ad44c22dfe7bcd13fef4f307166b464ae7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.795171Z digest=sha256:45f99a3e1d619ea378aee387107c91445cb7b3f24ddcf45251dd0736f6fd068c

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:d725f0131c201a3241a6f82bd9b454822044c75a65c90d1a93be6621158d7800

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:d6fca6946ff4e5bfcf46f1f8ccdd2518d7ddb93d1bc284afba6d156205ef3d10

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=sha256:77714bf8cee0ef804db557d61d108fa8b50a51f3540157e3c871a4bdc4416923

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.807721Z digest=sha256:fb024ee829228f6153d3426f13ec454388282c2c539c16dc6bf8f45bb18c4538

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.813785Z digest=sha256:b5f7da8ef9cbacefafa032b1bb3c75e3fd7f47eb346ebac5dce38cd8f3763efa

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.816548Z digest=sha256:fd09054eac3232ae0c29150f2235625ce4198d2baef9bcba0f6c16d6221119ec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.819039Z digest=sha256:cd26494ee2e4b573a3df6ef9a6773c174850a8342b6e02dcf4cafe8060cb05eb

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=sha256:15a7e1268cc1f1d12989feba73f434b7b169105ce9b44d12d1a3b8d5ba33057e

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=sha256:5bae60e14fb723477e1656ead800d8c7b41900fb9bfe9c09c6fa16223c61c491

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=sha256:32a516f590d09711271ea7a08297e2a0a9c3e4b07920a0d74944a5af798e70d6

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=sha256:056d7a81beccd8f11b3ef1794e218bbb01817c8f3266811924284609c9c337b2

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=sha256:32daa4c120f9dd6e412595cc99342d79471625a1b8cd9a2712c717483adf1d6f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.836317Z digest=sha256:3b809d5b06a636ad63085fcb93f9bc34cc62370ebffdca30b0baa73fb3135360

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=sha256:17016e641c0d61eb1b0af117e9bd523da1c80fd145cb5841fa5924e242382c45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:51:53.842231Z digest=sha256:0513f5405281d871ea40e567568de34b9e541e3259ee3af8382df0b15f999072

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=sha256:68be184c953215caab034a1eb6e006b01671b0cbbf1f8035b12d50566dcbf1d8

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=sha256:5623c0b235c7cb768082f14f6821af6dbd6a89794692a0e7e72a97c6d7b2a10c

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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unresolved
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=sha256:6b56d9c3e326dd9b2b664996f7cbdd711f3cc3946c765e27ab641be0c1ec65ae

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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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=sha256:7de95f89a51f8d3a1108f343feb826631ab26cd5ad72cfb2732fc6abde87c956

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T02:11:19.672753Z digest=sha256:3b78098bdc7284ec8f39c41788eb71d4c75d3019cca1691669204fb7861d0f99