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Paper Citation Record · LEDGER

Design-Based Supervised Learning with Noisy Human Labels

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.15455.

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

pith.paper-citation-record.v1
2607.15455 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:26:02.268027Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2dc42b8-d375-4f37-9705-fad782c89199 · outbound

This paper cites Journal of the American statistical Association , volume=.

Design-Based Supervised Learning with Noisy Human Labels Journal of the American statistical Association , volume=

Reference 1

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no resolver link, observed 2026-08-01T23:25:59.962091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:25:59.962091Z digest=sha256:4743f814118c6247eeb8365c2dc9050e3c7e14a947dd6e3cd6133d3dfa121544

Observation a7199924-23c4-4a54-8155-c2b2c3a00ad8 · outbound

This paper cites Williams and Terrance D.

Design-Based Supervised Learning with Noisy Human Labels Williams and Terrance D

Reference 2

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no resolver link, observed 2026-08-01T23:26:00.040798Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T23:26:00.040798Z digest=sha256:71b597674ada4ff4f61c85941c22a0967045c98e2f685c187eb18dad6f3f820b

Observation 91f255f8-de57-4f65-beb7-eed2c37aeace · outbound

This paper cites an unresolved cited work.

Design-Based Supervised Learning with Noisy Human Labels Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.122459Z digest=sha256:49d915b9ba64dfb015a37221395a058d7ec3e655cfe6d5eb3e9eff3caed3915f

Observation 28247b00-728c-4e85-9c53-6e2251c95c12 · outbound

This paper cites Proceedings of the 26th International Conference on World Wide Web , year =.

Design-Based Supervised Learning with Noisy Human Labels Proceedings of the 26th International Conference on World Wide Web , year =

Reference 4

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source=arxiv_source observed=2026-08-01T23:26:00.202434Z digest=sha256:9dcd983592b4b0c5e7f4f4ecf8e0f588447387299c78eba969166854cb22e263

Observation 994bdeb8-3260-4db9-b29c-d966ba713713 · outbound

This paper cites Journal of the American Statistical Association , volume =.

Design-Based Supervised Learning with Noisy Human Labels Journal of the American Statistical Association , volume =

Reference 5

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no resolver link, observed 2026-08-01T23:26:00.299648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.299648Z digest=sha256:2441b39a3753d8822abdfdf16718ac114a4a52d454f69018b332ef53a9d2db64

Observation 2ee0eab7-c2dc-4da2-9e14-467a3a2b1e47 · outbound

This paper cites Biometrika , volume =.

Design-Based Supervised Learning with Noisy Human Labels Biometrika , volume =

Reference 6

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no resolver link, observed 2026-08-01T23:26:00.371648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.371648Z digest=sha256:2a282e5d8e8890e87a0f3b2455916de0ce574aa058fc2b9a3428e75ab66e0119

Observation 7f61b5f4-4d24-4f70-868a-5c43e79751b4 · outbound

This paper cites The Econometrics Journal , volume =.

Design-Based Supervised Learning with Noisy Human Labels The Econometrics Journal , volume =

Reference 7

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no resolver link, observed 2026-08-01T23:26:00.457528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.457528Z digest=sha256:09173e60f913f89a28a5b995c2bf658822e03eea71b3c1c327c59083465748e2

Observation 9f0f884e-ab26-430a-b880-22081bb1af7a · outbound

This paper cites 2018 , publisher=.

Design-Based Supervised Learning with Noisy Human Labels 2018 , publisher=

Reference 8

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no resolver link, observed 2026-08-01T23:26:00.532285Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.532285Z digest=sha256:629cac7725683ec82225b63ed81b9e2b6c2c9166c7988001d97ce85a07a059de

Observation eb905d4b-483b-4fa7-9c58-517c43374c95 · outbound

This paper cites Political analysis , volume=.

Design-Based Supervised Learning with Noisy Human Labels Political analysis , volume=

Reference 9

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no resolver link, observed 2026-08-01T23:26:00.585610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.585610Z digest=sha256:28ba773e65f3ad22793c8b70cc6be87aa2ddb2351ed6a29f14f4012ff2dee54d

Observation f2b72a56-a21d-42e7-9b3d-f53c0b72bd51 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Design-Based Supervised Learning with Noisy Human Labels Proceedings of the National Academy of Sciences , volume=

Reference 10

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no resolver link, observed 2026-08-01T23:26:00.662715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.662715Z digest=sha256:5e0f63e85e4206bd415cc22ad08357c0b5a541db3f75d414b2202ec1b0fc469a

Observation 33965e9a-14ba-45df-9284-42b82e894d9a · outbound

This paper cites LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding.

Design-Based Supervised Learning with Noisy Human Labels LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 11

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no resolver link, observed 2026-08-01T23:26:00.748201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.748201Z digest=sha256:cbea009a875aba38ac9246e64610b89c7a626b33d8eb17385758798915316c26

Observation 22057f7b-9ffb-48e9-bc21-91409492fb4d · outbound

This paper cites Social Science Computer Review , volume=.

Design-Based Supervised Learning with Noisy Human Labels Social Science Computer Review , volume=

Reference 12

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no resolver link, observed 2026-08-01T23:26:00.826372Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.826372Z digest=sha256:02e72bf29fc4d941fe700a12b834cc035966340e65b87c248276226e8b0b8abf

Observation 88bd79de-ed91-4e72-bab3-85dc0759fa3e · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Design-Based Supervised Learning with Noisy Human Labels Proceedings of the National Academy of Sciences , volume=

Reference 13

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no resolver link, observed 2026-08-01T23:26:00.927433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.927433Z digest=sha256:7c83889f1e40500e562fe46723bd27b45fb577bd5b5fd0f123938f47db562247

Observation 34efac86-6c35-47c1-a624-d2d908a55156 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Design-Based Supervised Learning with Noisy Human Labels Advances in Neural Information Processing Systems , volume=

Reference 14

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no resolver link, observed 2026-08-01T23:26:01.008712Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.008712Z digest=sha256:1d2a652a0aae4d1e9179911f31fcaadc20566d3b56c002ed1c23bd01c7d231ec

Observation 81d3bd01-7af8-4b38-89cc-77402dfa5288 · outbound

This paper cites Science , volume=.

Design-Based Supervised Learning with Noisy Human Labels Science , volume=

Reference 15

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no resolver link, observed 2026-08-01T23:26:01.108029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.108029Z digest=sha256:b937fe45d2d8abcbdba6c85bc6e442e243f2023f173a0506417274985b21de68

Observation 571dcf14-4708-48dd-8441-8b4c4d7d6741 · outbound

This paper cites American Journal of Political Science , volume=.

Design-Based Supervised Learning with Noisy Human Labels American Journal of Political Science , volume=

Reference 16

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no resolver link, observed 2026-08-01T23:26:01.192977Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.192977Z digest=sha256:2a20ae8fd9b03d8b76a5ca469a89b2b2bbd46d1d96dc6f9fbdcb820348999520

Observation 4e7bbae1-d935-4a78-a5c7-ae4392bccbec · outbound

This paper cites Political Analysis , volume=.

Design-Based Supervised Learning with Noisy Human Labels Political Analysis , volume=

Reference 17

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no resolver link, observed 2026-08-01T23:26:01.289432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.289432Z digest=sha256:30745c36db7f84ef85a8f04ff167f3377aa2bfebed50c4980bec3bc4db4b30f5

Observation 6f9d98a2-ce93-4e96-94a9-2438c6cbc2e7 · outbound

This paper cites Biometrika , volume=.

Design-Based Supervised Learning with Noisy Human Labels Biometrika , volume=

Reference 18

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no resolver link, observed 2026-08-01T23:26:01.369782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.369782Z digest=sha256:c780086e9e8fc00f6c1bc8d5260782ac028f90ce66c43591b47200c08e970ac6

Observation b0058d23-1db2-43c3-ac2c-e36e7db52974 · outbound

This paper cites Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , year =.

Design-Based Supervised Learning with Noisy Human Labels Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , year =

Reference 19

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no resolver link, observed 2026-08-01T23:26:01.452504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.452504Z digest=sha256:926776e1e9bc3820e5d1dde68fa0bf591d601aa2464e0c27422c1667f0a8c613

Observation 746f9edd-3b4c-4e93-8722-0f6bcded6f64 · outbound

This paper cites Journal of Artificial Intelligence Research , volume =.

Design-Based Supervised Learning with Noisy Human Labels Journal of Artificial Intelligence Research , volume =

Reference 20

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no resolver link, observed 2026-08-01T23:26:01.521484Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.521484Z digest=sha256:9b3cf8724bc83ce1d754b9d0614e10ddca962fa00d2240c600c1f58a6df39e3e

Observation 43ee6217-847f-4be1-8aa2-9bd078f609e6 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

Design-Based Supervised Learning with Noisy Human Labels Transactions of the Association for Computational Linguistics , volume =

Reference 21

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no resolver link, observed 2026-08-01T23:26:01.602949Z

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source=arxiv_source observed=2026-08-01T23:26:01.602949Z digest=sha256:84c34b51591e410dad3ec2d0fee2db6c6bb5089396a080fce42d85b76a0bc97e

Observation f1c0ed9b-8d26-4861-9a04-aa4b606922ca · outbound

This paper cites From Ground Truth to Measurement: A Statistical Framework for Human Labeling.

Design-Based Supervised Learning with Noisy Human Labels From Ground Truth to Measurement: A Statistical Framework for Human Labeling

Reference 22

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no resolver link, observed 2026-08-01T23:26:01.657217Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.657217Z digest=sha256:f16db0e59d398c68fbe6f29d934b3455daad50b1af4b90b0905a2fa1e3b54b60

Observation 185cbafa-8a5b-4622-8ea9-e717746e8852 · outbound

This paper cites AI magazine , volume=.

Design-Based Supervised Learning with Noisy Human Labels AI magazine , volume=

Reference 23

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no resolver link, observed 2026-08-01T23:26:01.734510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.734510Z digest=sha256:2e2215683f1f76de1b9957d300edac1f315be2f6d21b60dbc5c1b4225d546f9c

Observation 508837e0-b038-4480-90ed-9ae8ff389fca · outbound

This paper cites Proceedings of the 2008 conference on empirical methods in natural language processing , pages=.

Design-Based Supervised Learning with Noisy Human Labels Proceedings of the 2008 conference on empirical methods in natural language processing , pages=

Reference 24

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no resolver link, observed 2026-08-01T23:26:01.819598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.819598Z digest=sha256:78f94ff2007e5db41278ff8ba88e7fa0a9af14a1ba679c5bb499e31917d2cfe6

Observation d7cf53d8-321f-4358-be71-9502550fecc6 · outbound

This paper cites Proceedings of the 14th Linguistic Annotation Workshop , pages=.

Design-Based Supervised Learning with Noisy Human Labels Proceedings of the 14th Linguistic Annotation Workshop , pages=

Reference 25

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no resolver link, observed 2026-08-01T23:26:01.905649Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.905649Z digest=sha256:e37881770d7e07a79f3c49712c9c45099016d9c4e05fa42d813ad74d06a50f2d

Observation 8ee9eab1-31be-40e8-a4da-a452bf364ba5 · outbound

This paper cites Handbook of linguistic annotation , pages=.

Design-Based Supervised Learning with Noisy Human Labels Handbook of linguistic annotation , pages=

Reference 26

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no resolver link, observed 2026-08-01T23:26:01.984562Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:01.984562Z digest=sha256:3bfe0d89d1847fd890c286129416a434e50cc5a8d2b79b029c9c1cdf894569a3

Observation 6827db84-52e4-4c6c-ac3e-47767d807417 · outbound

This paper cites bmj , volume=.

Design-Based Supervised Learning with Noisy Human Labels bmj , volume=

Reference 27

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no resolver link, observed 2026-08-01T23:26:02.056893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:02.056893Z digest=sha256:363f18f73c44430d93c7450a7994052efff17736e88c06f604b3d7eea499d7a1

Observation d2289dc7-637e-45c1-9a32-e9908c2e178a · outbound

This paper cites Upsala Journal of Medical Sciences , volume=.

Design-Based Supervised Learning with Noisy Human Labels Upsala Journal of Medical Sciences , volume=

Reference 28

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no resolver link, observed 2026-08-01T23:26:02.133875Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:02.133875Z digest=sha256:9db1e750c8fb1e5835e1f77cece1ab4edf9f89fb1693db88dd785b8299a737d1

Observation e3e09b98-de28-40d7-9b63-4200bf2f704b · outbound

This paper cites Human communication research , volume=.

Design-Based Supervised Learning with Noisy Human Labels Human communication research , volume=

Reference 29

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no resolver link, observed 2026-08-01T23:26:02.212844Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:02.212844Z digest=sha256:b7cb060bca8e433081b4d27e8447b42278dc0a715bef4ae0035d13be1fb57a8e

Observation f4cec8c2-8c0f-498c-a9bd-40b346fcba49 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Design-Based Supervised Learning with Noisy Human Labels Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 30

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no resolver link, observed 2026-08-01T23:26:02.268027Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:02.268027Z digest=sha256:c46187edb2fc914703d9a32869c4f4dfb87d3ea8a7b33f9aa17a6cb7c61dd533

Pith citing papers

No inbound Pith citation observations are available.