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Paper Citation Record · LEDGER

Tilted Empirical Risk Minimization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2007.01162.

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

pith.paper-citation-record.v1
2007.01162 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 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:39.910013Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:46:20.323282Z

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 0b9764ac-8e6d-4b04-8639-3b08958ddef5 · inbound

Distributionally Robust Performative Prediction cites this paper.

Distributionally Robust Performative Prediction Tilted Empirical Risk Minimization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T21:37:32.281155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:32.281155Z digest=sha256:8485aa8a70a1561023c268f4e80703fdd9ea1bf8e08388a9e18c8eeda7a87e8b

Observation c7165800-d266-43e5-a708-d1d9beb882d8 · inbound

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts cites this paper.

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts Tilted Empirical Risk Minimization

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T16:20:38.256693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:20:38.256693Z digest=sha256:2ea83c5af52b43b03a747dc9200288d8dc49f0201a35fd5eb44eb93959f519c1

Observation a1761e4e-5948-4a9f-af7a-4585e27b37e8 · inbound

Achieving Distributive Justice in Federated Learning via Uncertainty Quantification cites this paper.

Achieving Distributive Justice in Federated Learning via Uncertainty Quantification Tilted Empirical Risk Minimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T11:21:39.910013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:21:39.910013Z digest=sha256:d9a8b004ef65ce90649bdb5ddb26628e33050e591dc1b46581852cdffb9fe787

Observation d622bcf6-939e-4354-9272-deb4cbca281b · inbound

Quantum Learning with Tunable Loss Functions cites this paper.

Quantum Learning with Tunable Loss Functions Tilted Empirical Risk Minimization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:33.952516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:33.952516Z digest=sha256:dc58c72e5c14cb8d3776ebb55422f99c8eb8a22262e805a5bdc2836dcc64489b

Observation 9cad1f63-bd66-4a21-9238-6bbc43a70ae6 · inbound

A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization cites this paper.

A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization Tilted Empirical Risk Minimization

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T05:17:24.897432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:17:24.897432Z digest=sha256:be17b0010d7e269a1cab8dfcdcb453b8b049432a0e001bcb4808d5ac0a6557a4

Observation cf34f3f7-2628-470f-a4d1-65056baf43f3 · inbound

DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation cites this paper.

DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation Tilted Empirical Risk Minimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:41:21.909452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T04:41:04.680341Z digest=sha256:bd9d432fbb5d3a6519703b91175a5580d98b921e8f749a192df6f49c8a0376f0

Observation 37c2932f-da41-4956-a8f9-438409a85573 · inbound

Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift cites this paper.

Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift Tilted Empirical Risk Minimization

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:16:16.121966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:14:58.183289Z digest=sha256:3294b99a3a2e7f97d96c940c0f3913d8e80ebb36c71a96cfe14dbfb111e2f748

Observation f1344b53-3c6c-4582-8b46-465087c83a7d · inbound

S-SPPO: Semantic-Calibrated Self-Play Preference Optimization cites this paper.

S-SPPO: Semantic-Calibrated Self-Play Preference Optimization Tilted Empirical Risk Minimization

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:46:20.325718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T14:58:33.167891Z digest=sha256:41da1ebcbfc3e24d423ae46f94e26181a8b958f80ab3a8beaa743e1071aa2643