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Paper Citation Record · LEDGER

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2009.10795.

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

pith.paper-citation-record.v1
2009.10795 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:34:18.117267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b367549b-ac4b-4494-bcce-651483bb0d3b · inbound

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap cites this paper.

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:50:47.716751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-21T23:46:24.208438Z digest=sha256:b6c4471e5e845785ba3f32dc2db2a843ad55902551348c50f3cf24840022f849

Observation 6eeea4f5-2ea9-4fde-987a-99c0a39a2251 · inbound

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels cites this paper.

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:20:45.132324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-21T23:19:16.070310Z digest=sha256:d7a61f2a352774f759316e6abb26cff812b40aa87d7c8f7c24cbc60ca10800b8

Observation 16c45af3-4ba2-4008-9823-2e23493f5bd2 · inbound

LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training cites this paper.

LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T15:02:41.199727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-18T15:01:49.645065Z digest=sha256:92cc8475831a06368f8d4a41a0363775d0d1554f6384f4d4a1bd72d31bdf227c

Observation 44d0bacf-b1b9-4253-aad8-fd41e1c78cfe · inbound

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions cites this paper.

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 287

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:51:30.141583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-15T18:50:52.313363Z digest=sha256:12709b03fc0aec2c0d3922ea0c769a0f8e96cf41d972798440f8a31f0528bf09

Observation 2475ba44-c8e6-41ba-a492-7264e5296f25 · inbound

Testing the Assumptions of Active Learning for Translation Tasks with Few Samples cites this paper.

Testing the Assumptions of Active Learning for Translation Tasks with Few Samples Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:55:58.629354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-10T17:24:00.396080Z digest=sha256:3b9c07fe2a933bb87d8daa36fb77b81ab05c4b2e9e529b7adf25a5a9c4d1fbad

Observation cbd2b06b-6228-49f6-a45c-2eafdd47fdf8 · inbound

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling cites this paper.

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 114

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:41:05.705353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-10T01:14:16.831333Z digest=sha256:02a864f378b9411fa33576a9f74c18d958c4299021a203c7b6d637545504b2b9

Observation f7a34262-8719-469a-b5f8-53118da239f6 · inbound

Let the Target Select for Itself: Data Selection via Target-Aligned Paths cites this paper.

Let the Target Select for Itself: Data Selection via Target-Aligned Paths Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:51:17.953969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T02:47:55.649231Z digest=sha256:7ed8fe11e4a37be53e2e75d43ff7b7e43a95c806e50e9324d42130c29f7e91d7

Observation bec74757-bb6d-4b76-97b7-b68a8fb53a58 · inbound

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets cites this paper.

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:16.463762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-29T08:34:18.117267Z digest=sha256:48f905809d926469c99a95731ca0cf373f550c687f39e3cc322fe4ae91373475